158 lines
4.6 KiB
Python
158 lines
4.6 KiB
Python
"""
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改进版Python FastAPI服务器实现，使用DashScope Python SDK连接阿里云百炼平台API
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拆分模块版本
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"""
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import os
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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import dashscope
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from dotenv import load_dotenv
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from fastapi import FastAPI, HTTPException, File, UploadFile, Request
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from fastapi.responses import JSONResponse
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# 导入模块
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import sys
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sys.path.append('/home/mt/project/ai-chat-ui/server')
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from api.chat_routes import (
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chat_endpoint_handler,
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get_models_handler,
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get_conversations_handler,
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get_conversation_handler,
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save_conversation_handler,
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delete_conversation_handler,
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upload_file_handler,
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serve_upload_handler,
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stop_generation_handler
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)
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from models.chat_models import ChatRequest, ModelInfo
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from utils.helpers import log_request, log_response
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from utils.logger import get_logger
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logger = get_logger()
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# 加载环境变量
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load_dotenv()
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# 设置 DashScope API 密钥
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api_key = os.getenv("ALIYUN_API_KEY")
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if not api_key:
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raise ValueError("请在环境变量中设置 ALIYUN_API_KEY")
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dashscope.api_key = api_key
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# 创建 FastAPI 应用
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app = FastAPI(title="AI Chat API Server (Python)", version="2.0.0")
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@app.middleware("http")
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async def logging_middleware(request: Request, call_next):
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"""中间件：记录请求日志并美化输出"""
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start_time = datetime.now(timezone.utc)
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client_ip = request.client.host if request.client else 'unknown'
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# 请求日志
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logger.info(f"→ {request.method} {request.url.path} | IP: {client_ip}")
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response = await call_next(request)
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process_time = (datetime.now(timezone.utc) - start_time).total_seconds() * 1000
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status_emoji = "✅" if response.status_code < 400 else "❌"
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# 响应日志（包含端点、状态码、耗时）
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logger.info(f"{status_emoji} {request.method} {request.url.path} | 状态: {response.status_code} | 耗时: {process_time:.0f}ms")
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# 记录结构化日志（写入日志文件）
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log_response(response.status_code, process_time)
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response.headers["X-Process-Time"] = f"{process_time:.2f}ms"
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return response
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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", "timestamp": datetime.now(timezone.utc).isoformat()}
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@app.post("/api/chat-ui/chat")
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async def chat_endpoint(request: Request):
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"""聊天接口 - 与阿里云百炼API兼容的接口"""
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body = await request.json()
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return await chat_endpoint_handler(body)
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@app.get("/api/chat-ui/models")
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async def get_models():
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"""获取模型列表"""
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return await get_models_handler()
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@app.get("/api/chat-ui/conversations")
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async def get_conversations():
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"""获取所有对话"""
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return await get_conversations_handler()
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@app.get("/api/chat-ui/conversations/{conversation_id}")
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async def get_conversation(conversation_id: str):
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"""获取特定对话"""
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return await get_conversation_handler(conversation_id)
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@app.post("/api/chat-ui/conversations")
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async def save_conversation(request: Request):
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"""保存或更新对话"""
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data = await request.json()
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return await save_conversation_handler(data)
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@app.delete("/api/chat-ui/conversations/{conversation_id}")
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async def delete_conversation(conversation_id: str):
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"""删除对话"""
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return await delete_conversation_handler(conversation_id)
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@app.post("/api/chat-ui/upload")
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async def upload_file(file: UploadFile = File(...)):
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"""文件上传接口"""
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return await upload_file_handler(file=file)
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@app.get("/uploads/{filename}")
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async def serve_upload(filename: str):
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"""提供上传文件的访问"""
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return serve_upload_handler(filename)
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@app.post("/api/chat-ui/stop")
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async def stop_generation():
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"""停止生成接口"""
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return await stop_generation_handler()
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@app.post("/api/chat-ui/stop/{message_id}")
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async def stop_generation_by_id(message_id: str):
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"""根据消息ID停止生成"""
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return await stop_generation_handler(message_id)
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if __name__ == "__main__":
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import uvicorn
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port = int(os.getenv("PORT", 8000))
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print("="*50)
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print(f"Python AI Chat Server 启动中...")
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print(f"监听端口: {port}")
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print(f"API Key 状态: {'已配置' if api_key else '未配置'}")
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print("="*50)
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if not api_key:
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print("警告: 未在环境变量中检测到 ALIYUN_API_KEY!")
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print("请在 .env 文件中添加您的百炼 API Key。")
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else:
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print("API Key 已检测到。")
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uvicorn.run(app, host="0.0.0.0", port=port) |