149 lines
3.6 KiB
Python
149 lines
3.6 KiB
Python
"""
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app/api.py - FastAPI 应用主文件
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"""
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import logging
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from typing import List
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from fastapi import FastAPI
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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 RequirementRequest(BaseModel):
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"""需求分析请求模型"""
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requirement: str
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class RequirementAnalysisResponse(BaseModel):
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"""需求分析响应"""
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functional_requirements: List[str]
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non_functional_requirements: List[str]
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acceptance_criteria: List[str]
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edge_cases: List[str]
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summary: str
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class TestCase(BaseModel):
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"""测试用例"""
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test_id: str
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test_name: str
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precondition: str
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steps: List[str]
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expected_result: str
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test_type: str
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class TestCaseResponse(BaseModel):
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"""测试用例响应"""
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test_cases: List[TestCase]
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test_strategy: str
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coverage_plan: str
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class CodeGenerationResponse(BaseModel):
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"""代码生成响应"""
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java_code: str
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unit_tests: str
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implementation_notes: str
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class FullWorkflowResponse(BaseModel):
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"""完整工作流响应"""
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requirement_analysis: RequirementAnalysisResponse
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test_cases: TestCaseResponse
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code_generation: CodeGenerationResponse
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status: str = "success"
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# 路由
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@app.post("/workflow/full", response_model=FullWorkflowResponse)
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async def full_workflow(request: RequirementRequest):
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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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logger.info(f"开始处理需求: {request.requirement}")
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# 调用编排函数，执行三个Agent的工作流
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result = await orchestrate_agents(request.requirement)
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logger.info("需求处理完成，正在组装响应")
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# 构建响应
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response = FullWorkflowResponse(
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requirement_analysis=result["requirement_analysis"],
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test_cases=result["test_cases"],
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code_generation=result["code_generation"],
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status="success"
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)
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logger.info("响应组装完成")
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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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@app.get("/")
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async def root():
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"""根端点"""
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return {
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"message": "欢迎使用 AI Agent API",
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"endpoints": {
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"health": "/health",
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"chat": "/chat",
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"workflow": "/workflow/full",
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"docs": "/docs",
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}
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}
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