"""Chat Service — LLM orchestration, domain agents, memory.

Consumes chat requests from Redis, executes deep_agent (home/floating),
streams responses back via Redis pub/sub to WS Gateway.

Owns: memory_core, memory_associative, memory_episodic, memory_proactive tables.
"""

from contextlib import asynccontextmanager
import logging

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware

from shared.config import settings

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s %(levelname)s %(name)s: %(message)s",
)
logging.getLogger("sqlalchemy.engine").setLevel(logging.WARNING)
logging.getLogger("sqlalchemy.pool").setLevel(logging.WARNING)


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Start Redis consumer in background
    from app.redis_consumer import start_consumer

    consumer_task = start_consumer()
    yield
    consumer_task.cancel()

    from shared.db import engine

    await engine.dispose()

    from shared.redis import redis_client

    await redis_client.aclose()


def create_app() -> FastAPI:
    app = FastAPI(
        title="Adiuva Chat Service",
        version="0.1.0",
        docs_url="/docs" if settings.ENV == "dev" else None,
        redoc_url=None,
        lifespan=lifespan,
    )

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

    from app.routes import router

    app.include_router(router, prefix="/api/v1")

    @app.get("/api/v1/health", tags=["health"])
    async def health() -> dict:
        return {"status": "ok", "service": "chat", "version": app.version}

    return app


app = create_app()