app.py

import os
import re
import time
import json
import io
import requests

import gradio as gr
import google.generativeai as genai

from huggingface_hub import create_repo, list_models, upload_file, constants
from huggingface_hub.utils import build_hf_headers, get_session, hf_raise_for_status

# --- Helper functions for Hugging Face integration ---

def show_profile(profile: gr.OAuthProfile | None) -> str:
    if profile is None:
        return "*Not logged in.*"
    return f"✅ Logged in as **{profile.username}**"

def list_private_models(
    profile: gr.OAuthProfile | None,
    oauth_token: gr.OAuthToken | None
) -> str:
    if profile is None or oauth_token is None:
        return "Please log in to see your models."
    try:
        models = [
            f"{m.id} ({'private' if m.private else 'public'})"
            for m in list_models(author=profile.username, token=oauth_token.token)
        ]
        return "No models found." if not models else "Models:\n\n" + "\n - ".join(models)
    except Exception as e:
        return f"Error listing models: {e}"

def create_space_action(repo_name: str, sdk: str, profile: gr.OAuthProfile, token: gr.OAuthToken):
    repo_id = f"{profile.username}/{repo_name}"
    try:
        create_repo(
            repo_id=repo_id,
            token=token.token,
            exist_ok=True,
            repo_type="space",
            space_sdk=sdk
        )
        url    = f"https://huggingface.co/spaces/{repo_id}"
        iframe = f'<iframe src="{url}" width="100%" height="500px"></iframe>'
        return repo_id, iframe
    except Exception as e:
        raise RuntimeError(f"Failed to create Space {repo_id}: {e}") # Raise instead of returning string

def upload_file_to_space_action(
    file_obj,
    path_in_repo: str,
    repo_id: str,
    profile: gr.OAuthProfile,
    token: gr.OAuthToken
) -> None: # Return None on success, raise on failure
    if not (profile and token and repo_id):
        raise ValueError("Hugging Face profile, token, or repo_id is missing.")
    try:
        upload_file(
            path_or_fileobj=file_obj,
            path_in_repo=path_in_repo,
            repo_id=repo_id,
            token=token.token,
            repo_type="space"
        )
    except Exception as e:
        raise RuntimeError(f"Failed to upload `{path_in_repo}` to {repo_id}: {e}") # Raise exception

def _fetch_space_logs_level(repo_id: str, level: str, token: str) -> str:
    if not repo_id or not token:
         return f"Cannot fetch {level} logs: repo_id or token missing." # Handle missing state gracefully
    jwt_url  = f"{constants.ENDPOINT}/api/spaces/{repo_id}/jwt"
    try:
        r        = get_session().get(jwt_url, headers=build_hf_headers(token=token))
        hf_raise_for_status(r)
        jwt      = r.json()["token"]
        logs_url = f"https://api.hf.space/v1/{repo_id}/logs/{level}"
        lines, count = [], 0
        with get_session().get(logs_url, headers=build_hf_headers(token=jwt), stream=True, timeout=20) as resp:
            hf_raise_for_status(resp)
            for raw in resp.iter_lines():
                if count >= 200:
                    lines.append("... truncated ...")
                    break
                if not raw.startswith(b"data: "):
                    continue
                payload = raw[len(b"data: "):]
                try:
                    event = json.loads(payload.decode())
                    ts    = event.get("timestamp", "")
                    txt   = event.get("data", "").strip()
                    if txt:
                        lines.append(f"[{ts}] {txt}")
                        count += 1
                except json.JSONDecodeError:
                    continue
        return "\n".join(lines) if lines else f"No {level} logs found."
    except Exception as e:
        # Don't raise here, just return error message in logs box
        return f"Error fetching {level} logs: {e}"


def get_build_logs_action(repo_id, profile, token):
    if not (repo_id and profile and token):
        return "⚠️ Please log in and create a Space first."
    return _fetch_space_logs_level(repo_id, "build", token.token)

def get_container_logs_action(repo_id, profile, token):
    if not (repo_id and profile and token):
        return "⚠️ Please log in and create a Space first."
    # Add a short delay before fetching run logs, build might just finish
    time.sleep(5)
    return _fetch_space_logs_level(repo_id, "run", token.token)


# --- Google Gemini integration with model selection ---

def configure_gemini(api_key: str | None, model_name: str | None) -> str:
    if not api_key:
        return "Gemini API key is not set."
    if not model_name:
        return "Please select a Gemini model."
    try:
        genai.configure(api_key=api_key)
        # Test a simple ping
        genai.GenerativeModel(model_name).generate_content("ping", stream=False) # Use stream=False for sync ping
        return f"Gemini configured successfully with **{model_name}**."
    except Exception as e:
        return f"Error configuring Gemini: {e}"

def call_gemini(prompt: str, api_key: str, model_name: str) -> str:
    if not api_key or not model_name:
        raise ValueError("Gemini API key or model not set.")
    try:
        genai.configure(api_key=api_key)
        model    = genai.GenerativeModel(model_name)
        response = model.generate_content(prompt, stream=False) # Use stream=False for sync call
        return response.text or ""
    except Exception as e:
        raise RuntimeError(f"Gemini API call failed: {e}") # Raise exception


# --- AI workflow logic (State Machine) ---

# Define States
STATE_IDLE = "idle"
STATE_AWAITING_REPO_NAME = "awaiting_repo_name"
STATE_CREATING_SPACE = "creating_space"
STATE_GENERATING_CODE = "generating_code"
STATE_UPLOADING_APP_PY = "uploading_app_py"
STATE_GENERATING_REQUIREMENTS = "generating_requirements"
STATE_UPLOADING_REQUIREMENTS = "uploading_requirements"
STATE_GENERATING_README = "generating_readme"
STATE_UPLOADING_README = "uploading_readme"
STATE_CHECKING_LOGS_BUILD = "checking_logs_build"
STATE_CHECKING_LOGS_RUN = "checking_logs_run"
STATE_DEBUGGING_CODE = "debugging_code"
STATE_UPLOADING_FIXED_APP_PY = "uploading_fixed_app_py"
STATE_COMPLETE = "complete"

MAX_DEBUG_ATTEMPTS = 3

def update_chat(history, bot_message):
    """Helper to add a bot message and yield state."""
    # Ensure last user message is in history
    if history and history[-1][1] is None:
         history[-1][1] = "" # Add empty bot response to last user message if none exists

    history.append([None, bot_message])
    return history

def ai_workflow_chat(
    message: str,
    history: list[list[str | None]],
    hf_profile: gr.OAuthProfile | None,
    hf_token:   gr.OAuthToken   | None,
    gemini_api_key: str         | None,
    gemini_model:   str         | None,
    repo_id_state:  str | None,
    workflow_state: str,
    space_sdk:      str,
    preview_html:   str,
    container_logs: str,
    build_logs:     str,
    debug_attempts_state: int,
    app_description_state: str | None, # Persist initial request
    repo_name_state: str | None,       # Persist chosen name
    generated_code_state: str | None,  # Persist generated code between steps
) -> tuple[
    list[list[str | None]], # history
    str | None,             # repo_id
    str,                    # workflow_state
    str,                    # preview_html
    str,                    # container_logs
    str,                    # build_logs
    int,                    # debug_attempts_state
    str | None,             # app_description_state
    str | None,             # repo_name_state
    str | None,             # generated_code_state
]:
    # Unpack state variables
    repo_id = repo_id_state
    state = workflow_state
    attempts = debug_attempts_state
    app_desc = app_description_state
    repo_name = repo_name_state
    generated_code = generated_code_state

    updated_preview = preview_html
    updated_build = build_logs
    updated_run = container_logs

    # Add user message to history for context
    history.append([message, None])
    # Yield immediately to show user message
    yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code


    try:
        # --- State Machine Logic ---

        if state == STATE_IDLE:
            # Check prerequisites first
            if not (hf_profile and hf_token):
                history = update_chat(history, "Please log in to Hugging Face first.")
                yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code
                return # Stop workflow until login
            if not (gemini_api_key and gemini_model):
                 history = update_chat(history, "Please enter your API key and select a Gemini model.")
                 yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code
                 return # Stop workflow until API key/model set

            # Look for commands
            reset_match = "reset" in message.lower()
            generate_match = re.search(r'generate (?:me )?(?:a|an) \w+ app called (\w+)', message, re.I)
            create_match = re.search(r'create (?:a|an)? space called (\w+)', message, re.I)

            if reset_match:
                history = update_chat(history, "Workflow reset.")
                # Reset all state variables
                yield history, None, STATE_IDLE, "<p>No Space created yet.</p>", "", "", 0, None, None, None
                return # End workflow

            elif generate_match:
                new_repo_name = generate_match.group(1)
                new_app_desc = message # Store the full request
                history = update_chat(history, f"Acknowledged: '{message}'. Starting workflow to create Space `{hf_profile.username}/{new_repo_name}`.")
                # Transition to creating space state, passing name and description
                yield history, repo_id, STATE_CREATING_SPACE, updated_preview, updated_run, updated_build, attempts, new_app_desc, new_repo_name, generated_code

            elif create_match:
                 new_repo_name = create_match.group(1)
                 history = update_chat(history, f"Acknowledged: '{message}'. Starting workflow to create Space `{hf_profile.username}/{new_repo_name}`.")
                 # Transition to creating space state, just passing the name (desc will be default)
                 yield history, repo_id, STATE_CREATING_SPACE, updated_preview, updated_run, updated_build, attempts, app_desc, new_repo_name, generated_code # Use existing app_desc or None

            elif "create" in message.lower() and not repo_id: # Generic create trigger
                history = update_chat(history, "Okay, what should the Space be called? (e.g., `my-awesome-app`)")
                # Transition to awaiting name state
                yield history, repo_id, STATE_AWAITING_REPO_NAME, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Stay in this state

            else:
                # Handle other chat messages if needed, or just respond unknown
                history = update_chat(history, "Command not recognized. Try 'generate me a gradio app called myapp', or 'reset'.")
                yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code
                # Stay in IDLE state

        elif state == STATE_AWAITING_REPO_NAME:
            new_repo_name = message.strip()
            if not new_repo_name or re.search(r'\s', new_repo_name): # Basic validation for repo name
                 history = update_chat(history, "Invalid name. Please provide a single word/slug for the Space name.")
                 yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Stay in this state
            else:
                history = update_chat(history, f"Using Space name `{new_repo_name}`. Creating Space `{hf_profile.username}/{new_repo_name}`...")
                # Transition to creating space state, pass the received name
                yield history, repo_id, STATE_CREATING_SPACE, updated_preview, updated_run, updated_build, attempts, app_desc, new_repo_name, generated_code

        elif state == STATE_CREATING_SPACE:
            # This state is triggered when we *already have* the repo_name in state
            if not repo_name: # Safety check
                history = update_chat(history, "Internal error: Repo name missing for creation. Resetting.")
                yield history, None, STATE_IDLE, "<p>Error creating space.</p>", "", "", 0, None, None, None
                return

            try:
                new_repo_id, iframe_html = create_space_action(repo_name, space_sdk, hf_profile, hf_token)
                updated_preview = iframe_html
                history = update_chat(history, f"✅ Space `{new_repo_id}` created.")
                # Transition to generating code state, update repo_id and preview
                yield history, new_repo_id, STATE_GENERATING_CODE, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code

            except Exception as e:
                history = update_chat(history, f"❌ Error creating space: {e}")
                # Reset state on failure
                yield history, None, STATE_IDLE, "<p>Error creating space.</p>", "", "", 0, None, None, None

        elif state == STATE_GENERATING_CODE:
            # Use the stored app description or a default
            prompt_desc = app_desc if app_desc else 'a Gradio image-blur test app with upload and slider controls'
            prompt = f"""
You are an AI assistant specializing in Hugging Face Spaces using the {space_sdk} SDK.
Generate a full, single-file Python app based on:
'{prompt_desc}'
Return **only** the python code block for app.py. Do not include any extra text, explanations, or markdown outside the code block.
"""
            try:
                history = update_chat(history, "🧠 Generating `app.py` code with Gemini...")
                yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Update UI to show "Generating..."

                code = call_gemini(prompt, gemini_api_key, gemini_model)
                # Clean markdown and whitespace
                code = code.strip()
                if code.startswith("```python"):
                    code = code[len("```python"):].strip()
                if code.endswith("```"):
                    code = code[:-len("```")].strip()

                if not code:
                     raise ValueError("Gemini returned empty code.")

                history = update_chat(history, "✅ `app.py` code generated. Click 'Send' to upload.")
                # Transition to uploading state, store the generated code
                yield history, repo_id, STATE_UPLOADING_APP_PY, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, code # Pass code in state

            except Exception as e:
                history = update_chat(history, f"❌ Error generating code: {e}. Click 'reset'.")
                # Reset state on failure
                yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None

        elif state == STATE_UPLOADING_APP_PY:
            # Use the generated_code stored in state
            if not generated_code:
                 history = update_chat(history, "Internal error: No code to upload. Resetting.")
                 yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None
                 return

            history = update_chat(history, "☁️ Uploading `app.py`...")
            yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None # Yield to show message, clear generated_code state

            try:
                upload_file_to_space_action(io.StringIO(generated_code), "app.py", repo_id, hf_profile, hf_token)
                history = update_chat(history, "✅ Uploaded `app.py`. Click 'Send' to generate requirements.")
                # Transition to generating requirements
                yield history, repo_id, STATE_GENERATING_REQUIREMENTS, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None # Keep generated_code as None

            except Exception as e:
                history = update_chat(history, f"❌ Error uploading app.py: {e}. Click 'reset'.")
                yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None

        elif state == STATE_GENERATING_REQUIREMENTS:
            history = update_chat(history, "📄 Generating `requirements.txt`...")
            yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Yield to show message

            # Simple heuristic for requirements based on SDK and common needs
            reqs_list = ["gradio"] if space_sdk == "gradio" else ["streamlit"]
            # Add common deps if likely used (could parse code, but simpler heuristic for demo)
            if "google.generativeai" in (generated_code or "") or gemini_api_key: # Check if Gemini was used for code or if key is set
                 reqs_list.append("google-generativeai")
            if "requests" in (generated_code or ""):
                 reqs_list.append("requests")
            reqs_list.append("huggingface_hub") # Needed for log fetching etc if done inside the space itself (though not in this current app's space code)

            reqs_content = "\n".join(reqs_list) + "\n"

            history = update_chat(history, "✅ `requirements.txt` generated. Click 'Send' to upload.")
            # Transition to uploading requirements, store content temporarily
            yield history, repo_id, STATE_UPLOADING_REQUIREMENTS, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, reqs_content # Pass content in state (abusing generated_code slot)


        elif state == STATE_UPLOADING_REQUIREMENTS:
             # Use content stored in state (abusing generated_code slot)
            reqs_content_to_upload = generated_code # Get content from state
            if not reqs_content_to_upload:
                 history = update_chat(history, "Internal error: No requirements content to upload. Resetting.")
                 yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None
                 return

            history = update_chat(history, "☁️ Uploading `requirements.txt`...")
            yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None # Yield, clear temp state

            try:
                upload_file_to_space_action(io.StringIO(reqs_content_to_upload), "requirements.txt", repo_id, hf_profile, hf_token)
                history = update_chat(history, "✅ Uploaded `requirements.txt`. Click 'Send' to generate README.")
                # Transition to generating README
                yield history, repo_id, STATE_GENERATING_README, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None

            except Exception as e:
                history = update_chat(history, f"❌ Error uploading requirements.txt: {e}. Click 'reset'.")
                yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None

        elif state == STATE_GENERATING_README:
            history = update_chat(history, "📝 Generating `README.md`...")
            yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Yield to show message

            # Generate a simple README based on app_desc or repo_name
            readme_title = repo_name if repo_name else "My Awesome Space"
            readme_description = app_desc if app_desc else "This Hugging Face Space hosts an AI-generated application."

            readme_content = f"# {readme_title}\n\n{readme_description}\n\n" \
                             "This Space was automatically generated by an AI workflow.\n"

            history = update_chat(history, "✅ `README.md` generated. Click 'Send' to upload.")
            # Transition to uploading README, store content temporarily
            yield history, repo_id, STATE_UPLOADING_README, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, readme_content # Pass content in state


        elif state == STATE_UPLOADING_README:
            # Use content stored in state (abusing generated_code slot)
            readme_content_to_upload = generated_code # Get content from state
            if not readme_content_to_upload:
                 history = update_chat(history, "Internal error: No README content to upload. Resetting.")
                 yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None
                 return

            history = update_chat(history, "☁️ Uploading `README.md`...")
            yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None # Yield, clear temp state

            try:
                upload_file_to_space_action(io.StringIO(readme_content_to_upload), "README.md", repo_id, hf_profile, hf_token)
                history = update_chat(history, "✅ Uploaded `README.md`. Files uploaded. Space is now building. Click 'Send' to check build logs.")
                # Transition to checking build logs
                yield history, repo_id, STATE_CHECKING_LOGS_BUILD, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None

            except Exception as e:
                history = update_chat(history, f"❌ Error uploading README.md: {e}. Click 'reset'.")
                yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None


        elif state == STATE_CHECKING_LOGS_BUILD:
             # Optional: Add a short delay here if needed, but fetch action includes timeout
             history = update_chat(history, "🔍 Fetching build logs...")
             yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Show message

             build_logs_text = get_build_logs_action(repo_id, hf_profile, hf_token)
             updated_build = build_logs_text

             # Simple check: if build logs contain "Error" or "Exception", might indicate build issue.
             # More robust would involve checking build status via API, but logs are simpler for demo.
             # Assuming successful build leads to container logs check.
             if "Error" in updated_build or "Exception" in updated_build:
                  history = update_chat(history, "⚠️ Build logs may contain errors. Please inspect. Click 'Send' to check container logs (app might still start).")
                  yield history, repo_id, STATE_CHECKING_LOGS_RUN, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Transition to run logs check

             else:
                  history = update_chat(history, "✅ Build logs fetched. Click 'Send' to check container logs.")
                  yield history, repo_id, STATE_CHECKING_LOGS_RUN, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Transition to run logs check


        elif state == STATE_CHECKING_LOGS_RUN:
             history = update_chat(history, "🔍 Fetching container logs...")
             yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Show message

             container_logs_text = get_container_logs_action(repo_id, hf_profile, hf_token)
             updated_run = container_logs_text

             # Check for errors/exceptions in run logs
             if ("Error" in updated_run or "Exception" in updated_run) and attempts < MAX_DEBUG_ATTEMPTS:
                  attempts += 1
                  history = update_chat(history, f"❌ Errors detected in container logs. Attempting debug fix #{attempts}/{MAX_DEBUG_ATTEMPTS}. Click 'Send' to proceed.")
                  # Transition to debugging state, increment attempts
                  yield history, repo_id, STATE_DEBUGGING_CODE, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Keep other states same

             elif ("Error" in updated_run or "Exception" in updated_run) and attempts >= MAX_DEBUG_ATTEMPTS:
                  history = update_chat(history, f"❌ Errors detected in container logs. Max debug attempts ({MAX_DEBUG_ATTEMPTS}) reached. Please inspect logs manually or click 'reset'.")
                  # Transition to complete/idle after failed attempts
                  yield history, repo_id, STATE_COMPLETE, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code

             else:
                  history = update_chat(history, "✅ App appears to be running successfully! Check the iframe above. Click 'reset' to start a new project.")
                  # Transition to complete/idle on success
                  yield history, repo_id, STATE_COMPLETE, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code

        elif state == STATE_DEBUGGING_CODE:
             history = update_chat(history, f"🧠 Calling Gemini to generate fix based on logs...")
             yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code # Show message

             debug_prompt = f"""
You are debugging a {space_sdk} Space. The goal is to fix the code in `app.py` based on the container logs provided.

Here are the container logs:
{updated_run}

Generate the *complete, fixed* content for `app.py` based on these logs.
Return **only** the python code block for app.py. Do not include any extra text, explanations, or markdown outside the code block.
"""
             try:
                  fix_code = call_gemini(debug_prompt, gemini_api_key, gemini_model)
                  # Clean markdown and whitespace
                  fix_code = fix_code.strip()
                  if fix_code.startswith("```python"):
                      fix_code = fix_code[len("```python"):].strip()
                  if fix_code.endswith("```"):
                      fix_code = fix_code[:-len("```")].strip()

                  if not fix_code:
                     raise ValueError("Gemini returned empty fix code.")


                  history = update_chat(history, "✅ Fix code generated. Click 'Send' to upload.")
                  # Transition to uploading fixed code, pass the fixed code
                  yield history, repo_id, STATE_UPLOADING_FIXED_APP_PY, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, fix_code # Pass fix_code in state


             except Exception as e:
                  history = update_chat(history, f"❌ Error generating debug code: {e}. Click 'reset'.")
                  # Reset on failure
                  yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None

        elif state == STATE_UPLOADING_FIXED_APP_PY:
             # Use the fixed code stored in state (abusing generated_code slot)
             fixed_code_to_upload = generated_code # Get code from state
             if not fixed_code_to_upload:
                  history = update_chat(history, "Internal error: No fixed code available to upload. Resetting.")
                  yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None
                  return

             history = update_chat(history, "☁️ Uploading fixed `app.py`...")
             yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None # Yield, clear temp state

             try:
                  upload_file_to_space_action(io.StringIO(fixed_code_to_upload), "app.py", repo_id, hf_profile, hf_token)
                  history = update_chat(history, "✅ Fixed `app.py` uploaded. Space will rebuild. Click 'Send' to check logs again.")
                  # Transition back to checking run logs (after rebuild)
                  yield history, repo_id, STATE_CHECKING_LOGS_RUN, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, None # Keep generated_code as None

             except Exception as e:
                  history = update_chat(history, f"❌ Error uploading fixed app.py: {e}. Click 'reset'.")
                  yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None

        elif state == STATE_COMPLETE:
             # App is successfully deployed or failed after attempts.
             # User should click reset or start a new command.
             # Just yield the current state.
             yield history, repo_id, state, updated_preview, updated_run, updated_build, attempts, app_desc, repo_name, generated_code

        else: # Should not happen
            history = update_chat(history, f"Internal error: Unknown state '{state}'. Resetting.")
            yield history, None, STATE_IDLE, "<p>Unknown state error.</p>", "", "", 0, None, None, None


    except Exception as e:
        # Catch-all for unexpected exceptions in any state
        history = update_chat(history, f"Workflow step failed unexpectedly: {e}. Click 'Send' to re-attempt this step or 'reset'.")
        # Stay in the current state to allow re-attempt, or maybe go to idle?
        # Let's go to idle on unexpected errors to prevent getting stuck.
        yield history, None, STATE_IDLE, updated_preview, updated_run, updated_build, 0, None, None, None


# --- Build the Gradio UI ---

with gr.Blocks(title="AI-Powered HF Space App Builder") as ai_builder_tab:
    # State variables
    hf_profile   = gr.State(None)
    hf_token     = gr.State(None)
    gemini_key   = gr.State(None)
    gemini_model = gr.State("gemini-2.5-flash-preview-04-17") # Default model
    repo_id      = gr.State(None)     # ID of the created Space (e.g., 'user/repo')
    workflow     = gr.State(STATE_IDLE) # Current state of the AI workflow
    sdk_state    = gr.State("gradio") # Selected SDK
    debug_attempts = gr.State(0)       # Counter for debug attempts
    app_description = gr.State(None)  # Stores the user's original request string
    repo_name_state = gr.State(None)  # Stores the parsed repo name
    generated_code_state = gr.State(None) # Temporarily stores generated code or file content

    with gr.Row():
        # Sidebar
        with gr.Column(scale=1, min_width=300):
            gr.Markdown("## Hugging Face Login")
            login_status = gr.Markdown("*Not logged in.*")
            login_btn    = gr.LoginButton(variant="huggingface")

            # Initial load to check login status
            ai_builder_tab.load(show_profile, outputs=login_status)
            # Update status on login click
            login_btn.click(show_profile, outputs=login_status)
            # Store profile and token in state on login click
            login_btn.click(lambda p, t: (p, t), outputs=[hf_profile, hf_token])

            gr.Markdown("## Google AI Studio API Key")
            gemini_input  = gr.Textbox(label="API Key", type="password", interactive=True) # Ensure interactive
            gemini_status = gr.Markdown("")

            # Update key in state
            gemini_input.change(lambda k: k, inputs=gemini_input, outputs=gemini_key)

            gr.Markdown("## Gemini Model")
            model_selector = gr.Radio(
                choices=[
                    ("Gemini 2.5 Flash Preview 04-17", "gemini-2.5-flash-preview-04-17"),
                    ("Gemini 2.5 Pro Preview 03-25",   "gemini-2.5-pro-preview-03-25"),
                    ("Gemini 2.0 Flash",               "gemini-2.0-flash"), # Add more recent models if available
                    ("Gemini 2.0 Flash‑Lite",          "gemini-2.0-flash-lite"),
                    ("Gemini 1.5 Flash",               "gemini-1.5-flash"),
                ],
                value="gemini-2.5-flash-preview-04-17",
                label="Select model",
                interactive=True # Ensure interactive
            )
            # Update model in state
            model_selector.change(lambda m: m, inputs=model_selector, outputs=gemini_model)

            # Configure Gemini status on load and when key/model changes
            ai_builder_tab.load(
                configure_gemini,
                inputs=[gemini_key, gemini_model],
                outputs=[gemini_status]
            )
            gemini_input.change(
                configure_gemini,
                inputs=[gemini_key, gemini_model],
                outputs=[gemini_status]
            )
            model_selector.change(
                configure_gemini,
                inputs=[gemini_key, gemini_model],
                outputs=[gemini_status]
            )


            gr.Markdown("## Space SDK")
            sdk_selector = gr.Radio(choices=["gradio","streamlit"], value="gradio", label="Template SDK", interactive=True)
            sdk_selector.change(lambda s: s, inputs=sdk_selector, outputs=sdk_state)

            gr.Markdown("## Workflow Status")
            status_text = gr.Textbox(label="Current State", value=STATE_IDLE, interactive=False)
            repo_id_text = gr.Textbox(label="Current Space ID", value="None", interactive=False)

        # Main content
        with gr.Column(scale=3):
            chatbot    = gr.Chatbot()
            user_input = gr.Textbox(placeholder="Type your message…", interactive=True) # Ensure interactive
            send_btn   = gr.Button("Send", interactive=False)

            # Logic to enable send button only when logged in and API key is set
            # This logic is handled reactively by the load and change events below
            def update_send_button_state(profile, token, key, model):
                is_logged_in = profile is not None and token is not None
                is_gemini_ready = key is not None and model is not None
                # Simple check - a more robust check would involve calling configure_gemini
                # but for UI responsiveness, this is okay.
                return gr.update(interactive=is_logged_in and is_gemini_ready)

            ai_builder_tab.load(
                update_send_button_state,
                inputs=[hf_profile, hf_token, gemini_key, gemini_model],
                outputs=[send_btn]
            )
            login_btn.click(
                update_send_button_state,
                inputs=[hf_profile, hf_token, gemini_key, gemini_model],
                outputs=[send_btn]
            )
            gemini_input.change(
                update_send_button_state,
                inputs=[hf_profile, hf_token, gemini_key, gemini_model],
                outputs=[send_btn]
            )
            model_selector.change(
                update_send_button_state,
                inputs=[hf_profile, hf_token, gemini_key, gemini_model],
                outputs=[send_btn]
            )


            iframe    = gr.HTML("<p>No Space created yet.</p>")
            build_txt = gr.Textbox(label="Build Logs", lines=10, interactive=False, value="") # Initialize empty
            run_txt   = gr.Textbox(label="Container Logs", lines=10, interactive=False, value="") # Initialize empty

            # The main event handler for the Send button
            send_btn.click(
                ai_workflow_chat,
                inputs=[
                    user_input, chatbot,
                    hf_profile, hf_token,
                    gemini_key, gemini_model,
                    repo_id, workflow, sdk_state,
                    iframe, run_txt, build_txt, # Pass current UI values
                    debug_attempts, app_description, repo_name_state, generated_code_state # Pass state variables
                ],
                outputs=[
                    chatbot,
                    repo_id, workflow,
                    iframe, run_txt, build_txt, # Update UI values
                    debug_attempts, app_description, repo_name_state, generated_code_state # Update state variables
                ]
            ).success( # Clear input after successful send
                 lambda: gr.update(value=""),
                 inputs=None,
                 outputs=user_input
            )

            # Link state variables to UI status displays
            workflow.change(lambda s: s, inputs=workflow, outputs=status_text)
            repo_id.change(lambda r: r if r else "None", inputs=repo_id, outputs=repo_id_text)
            # Update logs and iframe when their state variables change (e.g., after fetch/create)
            iframe.change(lambda h: h, inputs=iframe, outputs=iframe) # Not strictly needed, already linked via click outputs
            build_txt.change(lambda t: t, inputs=build_txt, outputs=build_txt) # Not strictly needed
            run_txt.change(lambda t: t, inputs=run_txt, outputs=run_txt) # Not strictly needed


# Add an initial message to the chatbot on load
def greet():
    return [[None, "Welcome! Please log in to Hugging Face and provide your Google AI Studio API key to start building Spaces. Once ready, type 'generate me a gradio app called myapp' or 'create' to begin."]]

ai_builder_tab.load(greet, outputs=chatbot)


if __name__ == "__main__":
    # Set max retries for requests used by huggingface_hub internally
    # This can help with transient network issues
    # from requests.adapters import HTTPAdapter
    # from urllib3.util.retry import Retry
    # retry_strategy = Retry(total=3, backoff_factor=1, status_forcelist=[429, 500, 502, 503, 504])
    # adapter = HTTPAdapter(max_retries=retry_strategy)
    # get_session().mount("http://", adapter)
    # get_session().mount("https://", adapter)

    ai_builder_tab.launch()