import asyncio
from pathlib import Path
import sys
# 为了避免耦合，微服务，可能确实要将上级的上级目录作为一个单独的进程来处理，此目录作为一个单独的UI项目
sys.path.append(str(Path(__file__).parent))
from fastapi import FastAPI
from routers.proxy import router,sub_mgr
from routers.file import router as file_router
from routers.worker import router as worker_router
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from utils.process_mgr import process_manager
from utils.config import config,WORKER_DIR_BASE
from src.services.celery_worker import CeleryWorker,celery_worker
from utils.logu import get_logger,logger

async def startup():
    """应用启动时执行的操作"""
    global process_manager,config
    tasks = []
    logger.info(f"startup")
    tasks.append(asyncio.create_task(celery_worker.run()))
    tasks.append(asyncio.create_task(sub_mgr.startup()))
    return tasks  # 确保返回任务列表

@asynccontextmanager
async def lifespan(app: FastAPI):
    """应用生命周期管理"""
    tasks = await startup()
    yield
    logger.info(f"quite {tasks}")
    for name,model in celery_worker.workers_model.items():
        await celery_worker.stop_worker(name)

# 创建 FastAPI 应用实例
app = FastAPI(
    description="",
    version="1.0.0",
    lifespan=lifespan
)

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # 允许所有域名访问
    allow_credentials=True,
    allow_methods=["*"],  # 允许所有方法（GET, POST, PUT, DELETE 等）
    allow_headers=["*"],  # 允许所有头部
)

# 将 gpt_router 挂载到应用中
app.include_router(router, prefix="/api/proxy", tags=["chat"])
app.include_router(worker_router, prefix="/api/worker", tags=["worker"])

if __name__ == "__main__":
    import uvicorn
    # 注意： 由于涉及到多进程管理机制，因此不能使用 reload 。例如 uvicorn main:app --port 5835 --reload
    uvicorn.run(app, host=config.backend.host, port=config.backend.port)