83 lines
2.1 KiB
Python
83 lines
2.1 KiB
Python
from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from typing import Optional
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import uvicorn
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from chat_service import ChatService
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# 请求和响应模型
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class ChatRequest(BaseModel):
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message: str
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user_id: Optional[str] = None
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include_audio: Optional[bool] = True
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class ChatResponse(BaseModel):
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success: bool
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response: Optional[str] = None
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tokens: Optional[int] = None
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user_id: str
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error: Optional[str] = None
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audio_data: Optional[str] = None # base64 编码的音频数据
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audio_error: Optional[str] = None
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# 创建 FastAPI 应用
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app = FastAPI(
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title="Mem0 Memory API",
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description="基于 Mem0 的记忆增强聊天服务 API",
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version="1.0.0"
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)
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# 全局聊天服务实例
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chat_service = ChatService()
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@app.on_event("startup")
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async def startup_event():
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"""应用启动时初始化聊天服务"""
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chat_service.initialize()
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@app.get("/")
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async def root():
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"""根路径，返回 API 信息"""
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return {"message": "Mem0 Memory API is running", "version": "1.0.0"}
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@app.get("/health")
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async def health_check():
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"""健康检查端点"""
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return {"status": "healthy"}
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@app.post("/chat", response_model=ChatResponse)
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async def chat_endpoint(request: ChatRequest):
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"""
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聊天接口
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接收用户消息，通过 RAG 管道处理并返回回复（可包含 base64 音频数据）
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"""
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try:
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# 如果请求中指定了用户ID，创建新的服务实例
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if request.user_id and request.user_id != chat_service.user_id:
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user_chat_service = ChatService(request.user_id)
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user_chat_service.initialize()
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result = user_chat_service.chat(request.message, request.include_audio)
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else:
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result = chat_service.chat(request.message, request.include_audio)
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return ChatResponse(**result)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
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if __name__ == "__main__":
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uvicorn.run(
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"main:app",
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host="0.0.0.0",
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port=8000,
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reload=True
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) |