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feat(backend): 添加ChromaDB向量数据库支持 feat(backend): 实现智能体配置、知识库和文档管理 feat(backend): 重构WebSocket聊天服务为AgentService feat(frontend): 实现完整的聊天界面组件 feat(frontend): 添加智能体配置、知识库和文档管理页面 fix(user): 修复用户导入时性别转换问题 style(import): 优化导入组件加载状态处理
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
from fastapi import APIRouter, WebSocket
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from app.core.logger import log
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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 AgentService
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WS_AI = APIRouter(
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route_class=OperationLogRoute,
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prefix="/application/ai",
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tags=["智能助手WebSocket"],
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)
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@WS_AI.websocket("/ws", name="WebSocket聊天")
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async def websocket_chat_controller(
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websocket: WebSocket,
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) -> None:
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"""
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WebSocket聊天接口
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支持两种消息格式:
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1. 纯文本:直接发送消息内容
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2. JSON格式:{"message": "消息内容", "knowledge_ids": [1, 2], "agent_config_id": 1}
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ws://127.0.0.1:8001/api/v1/application/ai/ws
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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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try:
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async for chunk in AgentService.chat_query(query=ChatQuerySchema(message=data, knowledge_ids=[], agent_config_id=None)):
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if chunk:
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await websocket.send_text(chunk)
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except Exception as e:
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log.error(f"处理聊天查询出错: {e!s}")
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await websocket.send_text(f"抱歉,处理您的请求时出现了错误: {e!s}")
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except Exception as e:
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log.error(f"WebSocket聊天出错: {e!s}")
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finally:
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try:
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if websocket.client_state != websocket.client_state.DISCONNECTED:
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await websocket.close()
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except Exception as e:
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log.debug(f"WebSocket关闭时发生异常(预期行为,服务可能正在关闭): {e!s}")
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