chatchat-space--langchain-chatchat
wehub-resource-sync
102 行
3.2 KiB
Python
102 行
3.2 KiB
Python
import argparse
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import os
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from typing import Literal
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import uvicorn
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from fastapi import Body, FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from starlette.responses import RedirectResponse
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from chatchat import __version__
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from chatchat.settings import Settings
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from chatchat.server.api_server.chat_routes import chat_router
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from chatchat.server.api_server.kb_routes import kb_router
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from chatchat.server.api_server.mcp_routes import mcp_router
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from chatchat.server.api_server.openai_routes import openai_router
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from chatchat.server.api_server.server_routes import server_router
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from chatchat.server.api_server.tool_routes import tool_router
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from chatchat.server.chat.completion import completion
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from chatchat.server.utils import MakeFastAPIOffline
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def create_app(run_mode: str = None):
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app = FastAPI(title="Langchain-Chatchat API Server", version=__version__)
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MakeFastAPIOffline(app)
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# Add CORS middleware to allow all origins
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# 在config.py中设置OPEN_DOMAIN=True，允许跨域
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# set OPEN_DOMAIN=True in config.py to allow cross-domain
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if Settings.basic_settings.OPEN_CROSS_DOMAIN:
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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@app.get("/", summary="swagger 文档", include_in_schema=False)
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async def document():
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return RedirectResponse(url="/docs")
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app.include_router(chat_router)
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app.include_router(kb_router)
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app.include_router(tool_router)
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app.include_router(openai_router)
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app.include_router(server_router)
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app.include_router(mcp_router)
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# 其它接口
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app.post(
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"/other/completion",
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tags=["Other"],
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summary="要求llm模型补全(通过LLMChain)",
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)(completion)
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# 媒体文件
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app.mount("/media", StaticFiles(directory=Settings.basic_settings.MEDIA_PATH), name="media")
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# 项目相关图片
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img_dir = str(Settings.basic_settings.IMG_DIR)
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app.mount("/img", StaticFiles(directory=img_dir), name="img")
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return app
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def run_api(host, port, **kwargs):
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if kwargs.get("ssl_keyfile") and kwargs.get("ssl_certfile"):
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uvicorn.run(
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app,
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host=host,
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port=port,
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ssl_keyfile=kwargs.get("ssl_keyfile"),
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ssl_certfile=kwargs.get("ssl_certfile"),
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)
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else:
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uvicorn.run(app, host=host, port=port)
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app = create_app()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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prog="langchain-ChatGLM",
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description="About langchain-ChatGLM, local knowledge based ChatGLM with langchain"
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" ｜ 基于本地知识库的 ChatGLM 问答",
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)
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parser.add_argument("--host", type=str, default="0.0.0.0")
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parser.add_argument("--port", type=int, default=7861)
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parser.add_argument("--ssl_keyfile", type=str)
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parser.add_argument("--ssl_certfile", type=str)
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# 初始化消息
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args = parser.parse_args()
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args_dict = vars(args)
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run_api(
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host=args.host,
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port=args.port,
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ssl_keyfile=args.ssl_keyfile,
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ssl_certfile=args.ssl_certfile,
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)
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