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zhangtao
01fd6c8ea4
- 全面更新README，添加项目特性、架构设计与技术栈介绍 - 详细补充项目结构说明及模块设计规范 - 增加快速开始步骤，包括环境配置、数据库初始化和服务启动 - 补充主要API模块路径和认证授权使用示例 - 添加开发指南、数据库迁移与测试方法 - 集成监控、日志级别说明及性能监控内容 - 完善Docker、传统部署及Nginx配置示例 - 添加贡献指南和代码规范说明 - 新增MCP模块概述及智能对话API接口文档 - 清理和移除module_ai中旧的mcp_server相关实现代码 - 在api/v1初始化文件中注册AI模块路由 - 修改resource模块，增强资源路径安全检查和文件类型检测逻辑 - 增强资源搜索和上传服务的健壮性及安全性
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
# -*- coding: utf-8 -*-
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from fastapi import APIRouter, Depends, WebSocket
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from fastapi.responses import JSONResponse, StreamingResponse
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from app.common.response import StreamResponse, SuccessResponse
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from app.core.dependencies import AuthPermission
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from app.core.router_class import OperationLogRoute
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from app.core.logger import logger
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from app.api.v1.module_system.auth.schema import AuthSchema
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from .service import MCPService
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from .schema import ChatQuerySchema
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MCPRouter = APIRouter(route_class=OperationLogRoute, prefix="/mcp", tags=["MCP智能助手"])
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@MCPRouter.post("/chat", summary="智能对话", description="与MCP智能助手进行对话")
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async def chat_controller(
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query: ChatQuerySchema,
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auth: AuthSchema = Depends(AuthPermission(permissions=["ai:mcp:chat"]))
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) -> StreamingResponse:
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"""智能对话接口"""
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logger.info(f"用户 {auth.user.name} 发起智能对话: {query.message[:50]}...")
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async def generate_response():
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async for chunk in MCPService.chat_query(query.message):
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yield chunk
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return StreamingResponse(generate_response(), media_type="text/plain")
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@MCPRouter.websocket("/ws/chat", name="WebSocket聊天")
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async def websocket_chat_controller(
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websocket: WebSocket,
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):
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"""WebSocket聊天接口
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ws://127.0.0.1:8001/api/v1/ai/mcp/ws/chat
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"""
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await websocket.accept()
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try:
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while True:
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data = await websocket.receive_text()
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# 流式发送响应
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async for chunk in MCPService.chat_query(data):
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await websocket.send_text(chunk)
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except Exception as e:
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logger.error(f"WebSocket聊天出错: {str(e)}")
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await websocket.close()
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