from math import log
from fastapi import Request, HTTPException, Depends
from fastapi.responses import JSONResponse
from models.schemas import ChatCompletionRequest
from services.openai_service import generate_completion
from services.logging_service import log_llm_response
from auth.security import protect_chat_api, generate_anti_abuse_token
import logging

logger = logging.getLogger(__name__)

async def init_chat(request: Request):
    """Initialize chat and get anti-abuse token"""
    if request.client:
        logger.info(f"App initialized from client: {request.client.host}")

    current_token = request.session.get("antiAbuseToken")
    if not current_token:
        new_token = generate_anti_abuse_token()
        request.session["antiAbuseToken"] = new_token
        logger.info(f"Generated new antiAbuseToken for session: {new_token}")
        return JSONResponse({"chatToken": new_token})
    else:
        return JSONResponse({"chatToken": current_token})


async def chat_completions(request_data: ChatCompletionRequest, request: Request):
    """Get chat completions from OpenAI"""
    # Uses session_token (which is the antiAbuseToken) as an identifier for logging
    session_identifier = request.session.get("antiAbuseToken", "unknown_session")

    try:
        openai_response = await generate_completion(request_data.messages, session_identifier)
        log_llm_response(request_data.user, openai_response)
        return JSONResponse({"response": openai_response})
    except HTTPException as e:
        raise e
    except Exception as e:
        logger.error(f"Unexpected error in /api/chat/completions: {e}")
        raise HTTPException(status_code=500, detail="Error interno del servidor al procesar el chat.")