import logging
from fastapi import FastAPI
from txagent.txagent import TxAgent
from db.mongo import get_mongo_client
import asyncio
from pyfcm import FCMNotification
from huggingface_hub import get_secret
from datetime import datetime
import httpx

# Logging
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(name)s - %(message)s")
logger = logging.getLogger("TxAgentAPI")

# Initialize agent synchronously with error handling
try:
    agent = TxAgent(
        model_name="mims-harvard/TxAgent-T1-Llama-3.1-8B",
        rag_model_name="mims-harvard/ToolRAG-T1-GTE-Qwen2-1.5B",
        enable_finish=True,
        enable_rag=False,
        force_finish=True,
        enable_checker=True,
        step_rag_num=4,
        seed=42
    )
    agent.init_model()
    agent.chat_prompt = (
        "You are a clinical assistant AI. Analyze the patient's data and provide clear clinical recommendations."
    )
    logger.info("✅ TxAgent initialized synchronously with chat_prompt: %s", agent.chat_prompt)
except Exception as e:
    logger.error("❌ Failed to initialize TxAgent: %s", str(e))
    raise

# Initialize collections synchronously
db = get_mongo_client()["cps_db"]
users_collection = db["users"]
patients_collection = db["patients"]
analysis_collection = db["patient_analysis_results"]
alerts_collection = db["clinical_alerts"]
notifications_collection = db["notifications"]
logger.info("📡 Connected to MongoDB synchronously at %s", datetime.utcnow().isoformat())

# Retrieve secrets from Hugging Face
FCM_API_KEY = get_secret("FCM_API_KEY")
SECRET_KEY = get_secret("SECRET_KEY")

if not FCM_API_KEY or not SECRET_KEY:
    logger.error("❌ Missing FCM_API_KEY or SECRET_KEY in Hugging Face Secrets")
    raise ValueError("FCM_API_KEY and SECRET_KEY must be set in Hugging Face Secrets")

# FCM settings
push_service = FCMNotification(api_key=FCM_API_KEY)

# Auth Space URL
AUTH_SPACE_URL = "https://rocketfarmstudios-cps-api.hf.space/auth"

async def send_push_notification(recipient_email, message):
    try:
        # Fetch the user's device token from the auth Space
        async with httpx.AsyncClient() as client:
            headers = {"Authorization": f"Bearer {create_access_token(recipient_email)}"}
            response = await client.get(f"{AUTH_SPACE_URL}/me", headers=headers)
            if response.status_code != 200:
                logger.warning(f"Failed to fetch user {recipient_email} from auth Space: {response.text}")
                return
            user_data = response.json()
            device_token = user_data.get("device_token")

        if not device_token:
            logger.warning(f"No device token found for {recipient_email} at {datetime.utcnow().isoformat()}")
            return

        # Send push notification
        result = push_service.notify_single_device(
            registration_id=device_token,
            message_title="Risk Alert",
            message_body=message,
            sound="default",
            priority="high"
        )
        logger.info(f"Push notification sent to {recipient_email} at {datetime.utcnow().isoformat()}: {result}")
    except Exception as e:
        logger.error(f"Failed to send push notification to {recipient_email} at {datetime.utcnow().isoformat()}: {str(e)}")

# JWT settings (minimal implementation for token creation)
from datetime import timedelta
import jwt

ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 30

def create_access_token(email: str):
    to_encode = {"sub": email, "exp": datetime.utcnow() + timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)}
    return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)

def decode_access_token(token: str):
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        return payload
    except jwt.PyJWTError as e:
        logger.error(f"Token decode error: {str(e)}")
        return None

def setup_app(app: FastAPI):
    @app.on_event("startup")
    async def startup_event():
        asyncio.create_task(analyze_all_patients())

    async def analyze_all_patients():
        from analysis import analyze_patient
        patients = await patients_collection.find({}).to_list(length=None)
        for patient in patients:
            await analyze_patient(patient)
            await asyncio.sleep(0.1)