feat: add user requirements analysis feature#31
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Zongwei9888 merged 4 commits intomainfrom Feb 3, 2026
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August 27, 2025 22:52
…dition + simplified questions generated
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@MonkeyCode-AI review this pr plz |
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Pull Request 概述
该 PR 实现了用户需求分析功能，通过 AI 生成引导性问题帮助用户明确项目需求。主要变更包括：
- 新增了
RequirementAnalysisAgent来处理需求分析 - 在 UI 中增加了引导分析模式和相关组件
- 扩展了工作流引擎以支持新的需求分析流程
文件变更说明
prompts/code_prompts.py: 添加了需求分析相关的提示词索引prompts/requirement_analysis_prompts.py: 新增文件，包含需求分析的提示词模板ui/components.py: 添加了引导分析模式的 UI 组件ui/handlers.py: 增加了处理需求分析工作流的异步函数和会话状态管理ui/layout.py: 修改了输入界面的渲染逻辑以支持新功能workflows/agent_orchestration_engine.py: 添加了需求分析代理的执行逻辑workflows/agents/requirement_analysis_agent.py: 新增文件，实现了需求分析的核心代理逻辑
该实现增强了用户与系统交互的方式，有助于生成更精确的代码实现。
| - PAPER_CONCEPT_ANALYSIS_PROMPT: 专注系统架构，突出概念到代码的映射 | ||
| - CODE_PLANNING_PROMPT: 整合前两者输出，生成高质量复现计划 | ||
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| NEW: 用户需求分析相关提示词 |
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建议在注释中添加新提示词的具体用途和使用场景，以方便其他开发者理解和维护。
| @@ -0,0 +1,71 @@ | |||
| """ | |||
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建议在模块级别添加详细的文档字符串，说明该模块包含的提示词模板及其用途。
ui/components.py
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| import streamlit as st | ||
| import sys | ||
| from typing import Dict, Any, Optional | ||
| from typing import Dict, Any, Optional, List |
ui/components.py
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| Args: | ||
| task_counter: Task counter | ||
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| async def handle_requirement_analysis_workflow( |
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建议添加更多的日志记录，特别是在异常处理部分，以方便调试和问题追踪。
| return {"status": "error", "message": str(e)} | ||
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| async def run_requirement_analysis_agent( |
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发现run_requirement_analysis_agent函数在此文件中重复定义。建议移除重复的定义以避免混淆。
| def __init__(self, logger: Optional[logging.Logger] = None): | ||
| """ | ||
| Initialize requirement analysis agent | ||
| Args: |
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注释中存在拼写错误，'Design Philosophy:ß' 应为 'Design Philosophy:'。
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⏳ MonkeyCode-AI 正在分析，请稍等片刻... |
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feat: add user requirements analysis feature in chat mode
🎯 Overview
Adds intelligent requirement gathering to chat interface - AI generates targeted questions to help users provide more detailed project requirements before code generation.
✨ Key Features
🔧 Implementation
RequirementAnalysisAgentfollowing MCP Agent architecture🚀 User Flow
💡 Benefits