import inspect import json import logging import os import warnings from logging.handlers import RotatingFileHandler import fastapi import uvicorn from fastapi import FastAPI from sse_starlette import EventSourceResponse from starlette.staticfiles import StaticFiles from Util.LightRagUtil import initialize_rag from lightrag import QueryParam # 初始化日志 logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) # 配置日志处理器 log_file = os.path.join(os.path.dirname(__file__), 'Logs', 'app.log') os.makedirs(os.path.dirname(log_file), exist_ok=True) # 文件处理器 file_handler = RotatingFileHandler( log_file, maxBytes=1024 * 1024, backupCount=5, encoding='utf-8') file_handler.setFormatter(logging.Formatter( '%(asctime)s - %(name)s - %(levelname)s - %(message)s')) # 控制台处理器 console_handler = logging.StreamHandler() console_handler.setFormatter(logging.Formatter( '%(asctime)s - %(name)s - %(levelname)s - %(message)s')) logger.addHandler(file_handler) logger.addHandler(console_handler) async def lifespan(app: FastAPI): # 抑制HTTPS相关警告 warnings.filterwarnings('ignore', message='Connecting to .* using TLS with verify_certs=False is insecure') warnings.filterwarnings('ignore', message='Unverified HTTPS request is being made to host') yield app = FastAPI(lifespan=lifespan) # 挂载静态文件目录 app.mount("/static", StaticFiles(directory="Static"), name="static") @app.post("/api/rag", response_model=None) async def rag(request: fastapi.Request): data = await request.json() query = data.get('query', '') working_dir = "./Test/Math" # 使用与T2_Query.py相同的目录 async def generate_response_stream(): rag = None try: logger.info(f"Initializing RAG with working_dir: {working_dir}") rag = await initialize_rag(working_dir) logger.info("RAG initialized successfully") resp = await rag.aquery( query, param=QueryParam(mode="hybrid", stream=True), ) logger.info("Query execution started") async for chunk in resp: if not chunk: # Skip empty chunks continue try: yield f"data: {json.dumps({'reply': chunk}, ensure_ascii=False)}\n\n" except Exception as e: logger.error(f"Error processing chunk: {e}") yield f"data: {json.dumps({'error': str(e)})}\n\n" except Exception as e: yield f"data: {json.dumps({'error': str(e)})}\n\n" finally: if rag: await rag.finalize_storages() return EventSourceResponse(generate_response_stream()) if __name__ == "__main__": uvicorn.run(app, host="0.0.0.0", port=8000)