#!/usr/bin/env python3

import os, sys
import uvicorn
import aiofiles
import configparser
import asyncio
import time
from typing import List
from fastapi import FastAPI
from fastapi.responses import JSONResponse
from fastapi.responses import FileResponse
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles

from sources.llm_provider import Provider
from sources.interaction import Interaction
from sources.agents import CasualAgent, CoderAgent, FileAgent, PlannerAgent, BrowserAgent
from sources.browser import Browser, create_driver
from sources.utility import pretty_print
from sources.logger import Logger
from sources.schemas import QueryRequest, QueryResponse

from celery import Celery

api = FastAPI(title="AgenticSeek API", version="0.1.0")
celery_app = Celery("tasks", broker="redis://localhost:6379/0", backend="redis://localhost:6379/0")
celery_app.conf.update(task_track_started=True)
logger = Logger("backend.log")
config = configparser.ConfigParser()
config.read('config.ini')

api.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

if not os.path.exists(".screenshots"):
    os.makedirs(".screenshots")
api.mount("/screenshots", StaticFiles(directory=".screenshots"), name="screenshots")

def initialize_system():
    stealth_mode = config.getboolean('BROWSER', 'stealth_mode')
    personality_folder = "jarvis" if config.getboolean('MAIN', 'jarvis_personality') else "base"
    languages = config["MAIN"]["languages"].split(' ')

    provider = Provider(
        provider_name=config["MAIN"]["provider_name"],
        model=config["MAIN"]["provider_model"],
        server_address=config["MAIN"]["provider_server_address"],
        is_local=config.getboolean('MAIN', 'is_local')
    )
    logger.info(f"Provider initialized: {provider.provider_name} ({provider.model})")

    browser = Browser(
        create_driver(headless=config.getboolean('BROWSER', 'headless_browser'), stealth_mode=stealth_mode),
        anticaptcha_manual_install=stealth_mode
    )
    logger.info("Browser initialized")

    agents = [
        CasualAgent(
            name=config["MAIN"]["agent_name"],
            prompt_path=f"prompts/{personality_folder}/casual_agent.txt",
            provider=provider, verbose=False
        ),
        CoderAgent(
            name="coder",
            prompt_path=f"prompts/{personality_folder}/coder_agent.txt",
            provider=provider, verbose=False
        ),
        FileAgent(
            name="File Agent",
            prompt_path=f"prompts/{personality_folder}/file_agent.txt",
            provider=provider, verbose=False
        ),
        BrowserAgent(
            name="Browser",
            prompt_path=f"prompts/{personality_folder}/browser_agent.txt",
            provider=provider, verbose=False, browser=browser
        ),
        PlannerAgent(
            name="Planner",
            prompt_path=f"prompts/{personality_folder}/planner_agent.txt",
            provider=provider, verbose=False, browser=browser
        )
    ]
    logger.info("Agents initialized")

    interaction = Interaction(
        agents,
        tts_enabled=config.getboolean('MAIN', 'speak'),
        stt_enabled=config.getboolean('MAIN', 'listen'),
        recover_last_session=config.getboolean('MAIN', 'recover_last_session'),
        langs=languages
    )
    logger.info("Interaction initialized")
    return interaction

interaction = initialize_system()
is_generating = False
query_resp_history = []

@api.get("/screenshot")
async def get_screenshot():
    logger.info("Screenshot endpoint called")
    screenshot_path = ".screenshots/updated_screen.png"
    if os.path.exists(screenshot_path):
        return FileResponse(screenshot_path)
    logger.error("No screenshot available")
    return JSONResponse(
        status_code=404,
        content={"error": "No screenshot available"}
    )

@api.get("/health")
async def health_check():
    logger.info("Health check endpoint called")
    return {"status": "healthy", "version": "0.1.0"}

@api.get("/is_active")
async def is_active():
    logger.info("Is active endpoint called")
    return {"is_active": interaction.is_active}

@api.get("/latest_answer")
async def get_latest_answer():
    global query_resp_history
    if interaction.current_agent is None:
        return JSONResponse(status_code=404, content={"error": "No agent available"})
    if interaction.current_agent.last_answer not in [q["answer"] for q in query_resp_history]:
        query_resp = {
            "done": "false",
            "answer": interaction.current_agent.last_answer,
            "agent_name": interaction.current_agent.agent_name if interaction.current_agent else "None",
            "success": interaction.current_agent.success,
            "blocks": {f'{i}': block.jsonify() for i, block in enumerate(interaction.current_agent.get_blocks_result)} if interaction.current_agent else {},
            "status": interaction.current_agent.get_status_message if interaction.current_agent else "No status available",
            "timestamp": str(time.time())
        }
        query_resp_history.append(query_resp)
        return JSONResponse(status_code=200, content=query_resp)
    if query_resp_history:
        return JSONResponse(status_code=200, content=query_resp_history[-1])
    return JSONResponse(status_code=404, content={"error": "No answer available"})

async def think_wrapper(interaction, query, tts_enabled):
    try:
        interaction.tts_enabled = tts_enabled
        interaction.last_query = query
        logger.info("Agents request is being processed")
        success = await interaction.think()
        if not success:
            interaction.last_answer = "Error: No answer from agent"
            interaction.last_success = False
        else:
            interaction.last_success = True
        return success
    except Exception as e:
        logger.error(f"Error in think_wrapper: {str(e)}")
        interaction.last_answer = f"Error: {str(e)}"
        interaction.last_success = False
        raise e

@api.post("/query", response_model=QueryResponse)
async def process_query(request: QueryRequest):
    global is_generating, query_resp_history
    logger.info(f"Processing query: {request.query}")
    query_resp = QueryResponse(
        done="false",
        answer="",
        agent_name="Unknown",
        success="false",
        blocks={},
        status="Waiting for agent...",
        timestamp=str(time.time())
    )
    if is_generating:
        logger.warning("Another query is being processed, please wait.")
        return JSONResponse(status_code=429, content=query_resp.jsonify())

    try:
        is_generating = True
        success = await think_wrapper(interaction, request.query, request.tts_enabled)
        is_generating = False

        if not success:
            query_resp.answer = interaction.last_answer
            return JSONResponse(status_code=400, content=query_resp.jsonify())

        if interaction.current_agent:
            blocks_json = {f'{i}': block.jsonify() for i, block in enumerate(interaction.current_agent.get_blocks_result)}
        else:
            logger.error("No current agent found")
            blocks_json = {}
            query_resp.answer = "Error: No current agent"
            return JSONResponse(status_code=400, content=query_resp.jsonify())

        logger.info(f"Answer: {interaction.last_answer}")
        logger.info(f"Blocks: {blocks_json}")
        query_resp.done = "true"
        query_resp.answer = interaction.last_answer
        query_resp.agent_name = interaction.current_agent.agent_name
        query_resp.success = str(interaction.last_success)
        query_resp.blocks = blocks_json
        
        # Store the raw dictionary representation
        query_resp_dict = {
            "done": query_resp.done,
            "answer": query_resp.answer,
            "agent_name": query_resp.agent_name,
            "success": query_resp.success,
            "blocks": query_resp.blocks,
            "status": query_resp.status,
            "timestamp": query_resp.timestamp
        }
        query_resp_history.append(query_resp_dict)

        logger.info("Query processed successfully")
        return JSONResponse(status_code=200, content=query_resp.jsonify())
    except Exception as e:
        logger.error(f"An error occurred: {str(e)}")
        sys.exit(1)
    finally:
        logger.info("Processing finished")
        if config.getboolean('MAIN', 'save_session'):
            interaction.save_session()

if __name__ == "__main__":
    uvicorn.run(api, host="0.0.0.0", port=8000)