97 lines
2.3 KiB
Python
97 lines
2.3 KiB
Python
"""FastAPI 应用主文件"""
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import logging
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from fastapi import FastAPI, Request
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from app.agents import orchestrate_agents
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from app.config import get_settings
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# 初始化日志
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# 初始化设置
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settings = get_settings()
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# 创建 FastAPI 应用
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app = FastAPI(
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title=settings.project_name,
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version=settings.project_version,
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debug=settings.fastapi_debug,
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)
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# 添加 CORS 中间件
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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class FullWorkflowResponse(BaseModel):
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"""完整工作流响应"""
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status: str = "success"
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@app.post("/workflow/full", response_model=FullWorkflowResponse)
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async def full_workflow(request: Request):
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"""
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完整工作流：PM Agent -> QA Agent -> Dev Agent
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这个端点接收一个简单的需求描述，通过三个Agent的协作，
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最终生成完整的需求分析、测试用例和Java代码。
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Args:
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request: RequirementRequest 包含简单的需求描述
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Returns:
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FullWorkflowResponse 包含：
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- requirement_analysis: PM Agent的需求分析结果
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- test_cases: QA Agent生成的测试用例
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- code_generation: Dev Agent生成的Java代码和单元测试
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Example:
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{
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"requirement": "创建一个用户管理系统，支持用户注册、登录、个人信息管理"
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}
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"""
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try:
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body_bytes = await request.body()
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message = body_bytes.decode('utf-8')
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logger.info(f"开始处理需求: {message}")
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# 调用编排函数，执行三个Agent的工作流
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await orchestrate_agents(message)
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# 构建响应
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response = FullWorkflowResponse(
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status="success"
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)
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return response
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except Exception as e:
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logger.error(f"处理需求时出错: {str(e)}", exc_info=True)
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return {
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"error": str(e),
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"status": "error"
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}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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app,
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host=settings.fastapi_host,
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port=settings.fastapi_port,
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log_level="info",
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)
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