🚀 端到端代码生成系统

end_to_end_research_system/ ├── main.py # 主应用入口 ├── config.py # 配置管理 │ ├── models/ # 数据模型层 │ ├── __init__.py │ ├── base.py # 基础模型类 │ ├── project.py # 项目模型 │ ├── requirement.py # 需求模型 │ ├── prd.py # PRD 模型 │ ├── technical_design.py # 技术设计模型 │ ├── code_generation.py # 代码生成模型 │ ├── user.py # 用户模型 │ ├── workflow.py # 工作流模型 │ ├── test_case.py # 测试用例模型 │ └── deployment.py # 部署模型 │ ├── schemas/ # Pydantic 模式 │ ├── __init__.py │ ├── project.py │ ├── requirement.py │ ├── prd.py │ ├── technical_design.py │ ├── code_generation.py │ ├── user.py │ ├── workflow.py │ ├── test_case.py │ └── deployment.py │ ├── services/ # 业务逻辑层 │ ├── __init__.py │ ├── project_service.py │ ├── requirement_service.py │ ├── prd_service.py │ ├── technical_design_service.py │ ├── code_generation_service.py │ ├── user_service.py │ ├── workflow_service.py │ ├── test_service.py │ └── deployment_service.py │ ├── routes/ # API 路由层 │ ├── __init__.py │ ├── project_routes.py │ ├── requirement_routes.py │ ├── prd_routes.py │ ├── technical_design_routes.py │ ├── code_generation_routes.py │ ├── user_routes.py │ ├── workflow_routes.py │ ├── ai_integration_routes.py │ ├── test_routes.py │ └── deployment_routes.py │ ├── generators/ # 代码生成器 │ ├── __init__.py │ ├── code_generator.py # AI 代码生成器 │ └── template_engine.py # 模板引擎 │ ├── integrations/ # 外部集成 │ ├── __init__.py │ ├── claude_integration.py # Claude Code 集成 │ └── openclaw_integration.py # OpenClaw 集成 │ ├── utils/ # 工具函数 │ ├── __init__.py │ ├── validators.py │ └── helpers.py │ ├── requirements.txt # Python 依赖 ├── setup.py # 安装脚本 └── README.md # 项目文档

# generators/code_generator.py class AICodeGenerator: async def generate_code( self, task: CodeGenerationTask, context: Dict[str, Any], ai_provider: str = "claude", ai_model: str = "claude-sonnet-4-5-20250929", config: Optional[Dict[str, Any]] = None ) -> List[Dict[str, Any]]: # 步骤 1: 分析上下文并生成代码计划 code_plan = await self._generate_code_plan(context, task.code_types) # 步骤 2: 根据代码类型生成代码 for code_type in task.code_types: if code_type == "backend": files = await self._generate_backend_code(...) elif code_type == "frontend": files = await self._generate_frontend_code(...) elif code_type == "test": files = await self._generate_test_code(...) generated_files.extend(files) # 步骤 3: 人机协同审查（如果启用） if task.requires_human_review: task.status = CodeGenerationStatus.REVIEWING return generated_files

# services/code_generation_service.py class CodeGenerationService: async def execute_generation(self, task_id: int): task = self.get_task_by_id(task_id) # 更新状态为进行中 task.status = CodeGenerationStatus.IN_PROGRESS task.started_at = datetime.utcnow() try: # 构建上下文 (PRD + API 设计 + 需求) context = self._build_context(task) # 调用 AI 生成器 generated_files = await self.code_generator.generate_code( task=task, context=context, ai_provider=task.ai_provider.value, ai_model=task.ai_model ) # 保存生成的代码 for file_info in generated_files: self._save_generated_code(task_id, file_info) # 完成任务 task.status = CodeGenerationStatus.COMPLETED except Exception as e: task.status = CodeGenerationStatus.FAILED task.error_message = str(e)