import logging
import sys
from contextlib import asynccontextmanager

from fastapi import BackgroundTasks, FastAPI

from config import settings
from db import kcgdb, snpdb
from scheduler import get_last_run, run_analysis_cycle, start_scheduler, stop_scheduler

logging.basicConfig(
    level=getattr(logging, settings.LOG_LEVEL, logging.INFO),
    format='%(asctime)s [%(levelname)s] %(name)s: %(message)s',
    stream=sys.stdout,
)
logger = logging.getLogger(__name__)


@asynccontextmanager
async def lifespan(application: FastAPI):
    from cache.vessel_store import vessel_store

    logger.info('starting KCG Prediction Service')
    snpdb.init_pool()
    kcgdb.init_pool()

    # 인메모리 캐시 초기 로드 (24시간)
    logger.info('loading initial vessel data (%dh)...', settings.INITIAL_LOAD_HOURS)
    vessel_store.load_initial(settings.INITIAL_LOAD_HOURS)
    logger.info('initial load complete: %s', vessel_store.stats())

    start_scheduler()
    yield
    stop_scheduler()
    snpdb.close_pool()
    kcgdb.close_pool()
    logger.info('KCG Prediction Service stopped')


app = FastAPI(
    title='KCG Prediction Service',
    version='2.1.0',
    lifespan=lifespan,
)

# AI 해양분석 채팅 라우터
from chat.router import router as chat_router
app.include_router(chat_router)


@app.get('/health')
def health_check():
    from cache.vessel_store import vessel_store
    return {
        'status': 'ok',
        'snpdb': snpdb.check_health(),
        'kcgdb': kcgdb.check_health(),
        'store': vessel_store.stats(),
    }


@app.get('/api/v1/analysis/status')
def analysis_status():
    return get_last_run()


@app.post('/api/v1/analysis/trigger')
def trigger_analysis(background_tasks: BackgroundTasks):
    background_tasks.add_task(run_analysis_cycle)
    return {'message': 'analysis cycle triggered'}