"""Fire-and-forget AI usage logging service."""
import asyncio
import uuid
from typing import Optional

from services.database import async_session_maker
from utils.llm_context import get_llm_context


def log(
    provider: str,
    model: str,
    call_type: str,
    input_tokens: Optional[int] = None,
    output_tokens: Optional[int] = None,
    total_tokens: Optional[int] = None,
    duration_ms: Optional[int] = None,
    user_id: Optional[uuid.UUID] = None,
    client_id: Optional[uuid.UUID] = None,
    presentation_id: Optional[uuid.UUID] = None,
) -> None:
    """Log AI usage asynchronously (fire-and-forget).

    If user_id/client_id/presentation_id are not provided,
    reads them from the LLMCallContext contextvar.
    """
    ctx = get_llm_context()
    if ctx:
        user_id = user_id or ctx.user_id
        client_id = client_id or ctx.client_id
        presentation_id = presentation_id or ctx.presentation_id

    asyncio.create_task(
        _write_log(
            provider=provider,
            model=model,
            call_type=call_type,
            input_tokens=input_tokens,
            output_tokens=output_tokens,
            total_tokens=total_tokens,
            duration_ms=duration_ms,
            user_id=user_id,
            client_id=client_id,
            presentation_id=presentation_id,
        )
    )


async def _write_log(
    provider: str,
    model: str,
    call_type: str,
    input_tokens: Optional[int],
    output_tokens: Optional[int],
    total_tokens: Optional[int],
    duration_ms: Optional[int],
    user_id: Optional[uuid.UUID],
    client_id: Optional[uuid.UUID],
    presentation_id: Optional[uuid.UUID],
) -> None:
    try:
        from models.sql.ai_usage import AIUsageModel

        async with async_session_maker() as session:
            entry = AIUsageModel(
                provider=provider,
                model=model,
                call_type=call_type,
                input_tokens=input_tokens,
                output_tokens=output_tokens,
                total_tokens=total_tokens or ((input_tokens or 0) + (output_tokens or 0)),
                duration_ms=duration_ms,
                user_id=user_id,
                client_id=client_id,
                presentation_id=presentation_id,
            )
            session.add(entry)
            await session.commit()
    except Exception as e:
        print(f"AI usage log error: {e}")