import asyncio from contextlib import asynccontextmanager from fastapi import FastAPI from app.api.endpoints.poetry import router as poetry_router import os import logging from typing import Tuple from starlette.responses import Response from starlette.staticfiles import StaticFiles from huggingface_hub import login from functools import lru_cache from app.services.poetry_generation import PoetryGenerationService # Configure logging once at module level logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) @lru_cache() def get_hf_token() -> str: """Get Hugging Face token from environment variables.""" token = os.getenv("HF_TOKEN") if not token: raise EnvironmentError( "HF_TOKEN environment variable not found. " "Please set your Hugging Face access token." ) return token def init_huggingface(): """Initialize Hugging Face authentication.""" try: token = get_hf_token() login(token=token) logger.info("Successfully logged in to Hugging Face") except Exception as e: logger.error(f"Failed to login to Hugging Face: {str(e)}") raise @asynccontextmanager async def lifespan(app: FastAPI): # Initialize Hugging Face authentication first init_huggingface() # Initialize poetry service and preload models poetry_service = PoetryGenerationService() try: preload_result = poetry_service.preload_models() if asyncio.iscoroutine(preload_result): await preload_result else: preload_result # Call directly if synchronous except Exception as e: logger.error(f"Error preloading models: {str(e)}") raise yield # Continue to application startup app = FastAPI(lifespan=lifespan) app.include_router(poetry_router, prefix="/api/v1/poetry") @app.get("/healthz") async def lifecheck(): return Response("OK", media_type="text/plain") def get_port() -> int: return int(os.getenv("PORT", "8000")) if __name__ == "__main__": import uvicorn port = get_port() app.mount("/static", StaticFiles(directory="static"), name="static") logger.info(f"Starting FastAPI server on port {port}") uvicorn.run(app, host="0.0.0.0", port=port)