main
HuangHai 2 weeks ago
commit 9e1adacb1c

@ -0,0 +1,59 @@
import threading
import logging
import uvicorn
from fastapi.middleware.cors import CORSMiddleware
from starlette.staticfiles import StaticFiles
from tasks.BackgroundTasks import train_document_task
from fastapi import FastAPI
from utils.Database import *
# 导入路由
from routes import *
# 在程序开始时添加以下配置
logging.basicConfig(
level=logging.INFO, # 设置日志级别为INFO
format='%(asctime)s - %(levelname)s - %(message)s'
)
async def lifespan(app: FastAPI):
# 启动线程
thread = threading.Thread(target=train_document_task, daemon=True)
thread.start()
# 创建数据库连接池
await init_database()
yield
await shutdown_database()
app = FastAPI(lifespan=lifespan)
# 配置FastAPI支持CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"]
)
# 挂载静态文件目录
app.mount("/static", StaticFiles(directory="Static"), name="static")
# 注册路由
# 登录相关
app.include_router(login_router, prefix="/api/login", tags=["login"])
# 主题相关
app.include_router(theme_router, prefix="/api/theme", tags=["theme"])
# 文档相关
app.include_router(document_router, prefix="/api/document", tags=["document"])
# 问题相关(大模型应用)
app.include_router(question_router, prefix="/api/question", tags=["question"])
# 字典相关(Dm)
app.include_router(dm_router, prefix="/api/dm", tags=["dm"])
# 测试相关
# app.include_router(test_router, prefix="/api/test", tags=["test"])
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8888)

@ -1,13 +1,7 @@
import asyncio
import logging
import os
from lightrag import LightRAG
from lightrag.kg.shared_storage import initialize_pipeline_status
from lightrag.utils import EmbeddingFunc
from Config.Config import EMBED_DIM, EMBED_MAX_TOKEN_SIZE, LLM_MODEL_NAME
from Util.LightRagUtil import embedding_func, llm_model_func, initialize_pg_rag
from Util.LightRagUtil import initialize_pg_rag
# 在程序开始时添加以下配置
logging.basicConfig(

@ -1,14 +1,10 @@
import asyncio
import inspect
import logging
import os
from lightrag import QueryParam, LightRAG
from lightrag.kg.shared_storage import initialize_pipeline_status
from lightrag.utils import EmbeddingFunc
from lightrag import QueryParam
from Config.Config import LLM_MODEL_NAME, EMBED_DIM, EMBED_MAX_TOKEN_SIZE
from Util.LightRagUtil import configure_logging, print_stream, llm_model_func, embedding_func, initialize_pg_rag
from Util.LightRagUtil import configure_logging, print_stream, initialize_pg_rag
# 在程序开始时添加以下配置
logging.basicConfig(

@ -1,9 +1,7 @@
import logging
import logging.config
import os
import numpy as np
from lightrag import LightRAG
from lightrag.kg.shared_storage import initialize_pipeline_status
from lightrag.llm.openai import openai_complete_if_cache, openai_embed

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