import streamlit as st
from openai import OpenAI
import time
import re

# Streamlit setup
st.set_page_config(page_title="documentaitest")
st.title("documentaitest")
st.caption("Chat with an Ai Assistant on your Documents")

# Sidebar for API key input
with st.sidebar:
    OPENAI_API_KEY = st.text_input("Enter your C2 Group of Technologies Access Key", type="password")

# Stop execution if no API key provided
if not OPENAI_API_KEY:
    st.error("Please enter your C2 Group of Technologies Access Key to continue.")
    st.stop()

client = OpenAI(api_key=OPENAI_API_KEY)
ASSISTANT_ID = "asst_PJjxQftfz2IJUUMvnldK58lB"

# Initialize session state
if "messages" not in st.session_state:
    st.session_state.messages = []
if "thread_id" not in st.session_state:
    st.session_state.thread_id = None

# Button to clear chat
if st.button("Clear Chat", use_container_width=True):
    st.session_state.messages = []
    st.session_state.thread_id = None
    st.rerun()

# Display message history
for message in st.session_state.messages:
    role, content = message["role"], message["content"]
    st.chat_message(role).write(content)

# Handle new user input
if prompt := st.chat_input():
    st.session_state.messages.append({"role": "user", "content": prompt})
    st.chat_message("user").write(prompt)

    try:
        # Create thread if not yet created
        if st.session_state.thread_id is None:
            thread = client.beta.threads.create()
            st.session_state.thread_id = thread.id

        thread_id = st.session_state.thread_id

        # Send message
        client.beta.threads.messages.create(
            thread_id=thread_id,
            role="user",
            content=prompt
        )

        # Run assistant
        run = client.beta.threads.runs.create(
            thread_id=thread_id,
            assistant_id=ASSISTANT_ID
        )

        # Poll until complete
        while True:
            run_status = client.beta.threads.runs.retrieve(
                thread_id=thread_id,
                run_id=run.id
            )
            if run_status.status == "completed":
                break
            time.sleep(1)

        # Get assistant response
        messages = client.beta.threads.messages.list(thread_id=thread_id)
        assistant_message = None
        for message in reversed(messages.data):
            if message.role == "assistant":
                assistant_message = message.content[0].text.value
                break

        # Display assistant message
        st.chat_message("assistant").write(assistant_message)
        st.session_state.messages.append({"role": "assistant", "content": assistant_message})

        # 🔍 Detect and display GitHub-hosted image
        page_match = re.search(r'Page (\d+)', assistant_message)
        if page_match:
            page_number = page_match.group(1).zfill(3)
            image_url = f"https://raw.githubusercontent.com/AndrewLORTech/surgical-pathology-manual/main/51940670-Manual-of-Surgical-Pathology-Third-Edition_1_page_{page_number}.png"
            st.image(image_url, caption=f"Page {int(page_number)}", use_container_width=True)

    except Exception as e:
        st.error(f"Error: {str(e)}")