Method process_requirement_analysis_non_interactive

cli/cli_app.py:51–113

处理需求分析工作流（非交互式，用于命令行参数） (NEW: matching UI version)

(self, initial_idea: str)

        await self.workflow_adapter.cleanup_mcp_app()

    async def process_requirement_analysis_non_interactive(self, initial_idea: str):
        """处理需求分析工作流（非交互式，用于命令行参数） (NEW: matching UI version)"""
        try:
            self.cli.print_separator()
            self.cli.print_status(
                "🧠 Starting requirement analysis workflow...", "info"
            )

            # Step 1: Generate guiding questions
            self.cli.print_status(
                "🤖 Generating AI-guided questions to refine your requirements...",
                "processing",
            )

            questions_result = (
                await self.workflow_adapter.execute_requirement_analysis_workflow(
                    user_input=initial_idea, analysis_mode="generate_questions"
                )
            )

            if questions_result["status"] != "success":
                self.cli.print_status(
                    f"❌ Failed to generate questions: {questions_result.get('error', 'Unknown error')}",
                    "error",
                )
                return questions_result

            # Step 2: Display questions
            questions_json = questions_result["result"]
            self.cli.display_guiding_questions(questions_json)

            # For non-interactive mode, we can't get user answers, so we provide a summary
            self.cli.print_status(
                "ℹ️  In non-interactive mode, using initial idea for implementation",
                "info",
            )
            self.cli.print_status(
                "💡 For guided analysis, please use interactive mode (python main_cli.py)",
                "info",
            )

            # Proceed directly with the initial idea as the requirement
            self.cli.print_status(
                "🚀 Starting code implementation based on initial requirements...",
                "processing",
            )

            implementation_result = await self.process_input(initial_idea, "chat")

            return {
                "status": "success",
                "questions_generated": questions_result,
                "implementation": implementation_result,
            }

        except Exception as e:
            error_msg = str(e)
            self.cli.print_error_box("Requirement Analysis Error", error_msg)