import json
import logging
import traceback
from typing import Optional, Dict, Any
from db.database import get_db_pool
from core.metrics import ERRORS_TOTAL

logger = logging.getLogger("copykar.errors")

async def log_exception(service_name: str, error: Exception, context: Optional[Dict[str, Any]] = None):
    """Log an exception to Database, Prometheus metrics, and Python logs."""
    error_type = type(error).__name__
    error_msg = str(error)
    tb_str = traceback.format_exc()
    ctx_json = json.dumps(context or {}, default=str)

    # 1. Prometheus Metric
    try:
        ERRORS_TOTAL.labels(service=service_name, error_type=error_type).inc()
    except Exception as e:
        logger.debug(f"Failed to increment error metric: {e}")

    # 2. Python standard logger
    logger.error(f"[{service_name}] {error_type}: {error_msg}\nContext: {ctx_json}\n{tb_str}")

    # 3. PostgreSQL Database
    try:
        pool = await get_db_pool()
        async with pool.acquire() as conn:
            await conn.execute(
                """
                INSERT INTO error_logs (service_name, error_type, error_message, traceback, context)
                VALUES ($1, $2, $3, $4, $5::jsonb);
                """,
                service_name, error_type, error_msg, tb_str, ctx_json
            )
    except Exception as db_err:
        logger.critical(f"Failed to write error to database: {db_err}")