mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
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zhangtao
fa680c03d3
1. 新增Redis AI_MODEL_CONFIG枚举与后端AI模型配置CRUD接口 2. 升级vue-img-cutter到3.1.1版本，更新前端依赖 3. 重构前端多处ElMessage提示逻辑，统一由拦截器处理 4. 替换ElDrawer为FaDrawer组件，统一弹窗组件库 5. 重构文章详情、评论组件，新增租户切换器与AI配置面板 6. 优化代码生成模板、菜单树表格逻辑与代码高亮样式 7. 修复前端路由与组件命名问题，更新快速入口配置
136 lines
5.0 KiB
Python
136 lines
5.0 KiB
Python
import asyncio
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import json
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from fastapi import APIRouter, WebSocket, WebSocketDisconnect
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from app.core.database import async_db_session
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from app.core.dependencies import _authenticate
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from app.core.exceptions import CustomException
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from app.core.logger import logger
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from app.core.router_class import OperationLogRoute
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from .schema import ChatQuerySchema
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from .service import ChatService, get_user_model_config
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WS_AI = APIRouter(
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route_class=OperationLogRoute,
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prefix="/ai/chat",
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tags=["智能助手WebSocket"],
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)
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async def _send_error_and_close(websocket: WebSocket, message: str) -> None:
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"""发送错误消息并关闭连接"""
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try:
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await websocket.send_text(f"错误: {message}")
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except RuntimeError:
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pass
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finally:
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try:
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await websocket.close()
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except RuntimeError:
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pass
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@WS_AI.websocket("/ws", name="WebSocket聊天")
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async def websocket_chat_controller(websocket: WebSocket) -> None:
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"""
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WebSocket 聊天接口。
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支持的消息格式（JSON）：
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- 对话：{"message": "...", "session_id": "...", "files": [...]}
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- 停止：{"action": "stop", "session_id": "..."}
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ws://127.0.0.1:8001/api/v1/ai/chat/ws?token=xxx
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"""
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await websocket.accept()
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token = websocket.query_params.get("token")
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if not token:
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await _send_error_and_close(websocket, "未提供认证token，请重新登录")
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return
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# 跨消息循环共享的停止信号：客户端发送 stop 时 set，生成器检测到后退出
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stop_event = asyncio.Event()
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# 标记当前是否在生成中，便于 stop 校验
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is_generating = asyncio.Event()
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try:
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redis = websocket.app.state.redis
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async with async_db_session() as db:
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auth = await _authenticate(token, db, redis)
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user = auth.user
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logger.info("WebSocket连接已建立: {} - 用户: {}", websocket.client, user.username if user else "未认证")
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chat_service = ChatService(auth)
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# 消息循环
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while True:
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try:
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data = await websocket.receive_text()
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try:
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message_data = json.loads(data)
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query = ChatQuerySchema(**message_data)
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except json.JSONDecodeError:
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logger.warning("收到非JSON消息: {}", data)
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await websocket.send_text("消息格式错误，请发送JSON格式的消息")
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continue
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except Exception as e:
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logger.warning("消息校验失败: {}", e)
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await websocket.send_text(f"消息格式错误: {e}")
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continue
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# 处理停止指令
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if query.action == "stop":
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if is_generating.is_set():
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stop_event.set()
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logger.info("收到停止指令: session={}", query.session_id)
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await websocket.send_text("[STOPPED]")
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else:
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await websocket.send_text("当前没有正在进行的生成任务")
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continue
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# 对话指令
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logger.info("收到聊天查询: session_id={}", query.session_id)
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is_generating.set()
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stop_event.clear()
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# 读取用户的 AI 模型配置（每次可动态切换）
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model_config = await get_user_model_config(redis, user.id)
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try:
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async for chunk in chat_service.chat_query(
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query=query,
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stop_event=stop_event,
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model_config=model_config,
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):
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if not chunk:
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continue
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try:
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await websocket.send_text(chunk)
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except RuntimeError:
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logger.warning("WebSocket连接已关闭，停止发送消息")
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return
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finally:
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is_generating.clear()
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stop_event.clear()
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# 告知前端生成结束
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try:
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await websocket.send_text("[DONE]")
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except RuntimeError:
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return
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except WebSocketDisconnect:
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logger.info("WebSocket连接已断开: {}", websocket.client)
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return
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except CustomException as e:
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# 认证失败等业务异常
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logger.warning("WebSocket认证失败: {}", e.msg)
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await _send_error_and_close(websocket, e.msg)
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except Exception as e:
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# 未知异常
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logger.exception("WebSocket未知异常: {}", e)
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await _send_error_and_close(websocket, "服务器内部错误")
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