interactive_feedback

Instructions

Implementation Reference

• server.py:84-114 (handler)

  The primary handler for the 'interactive_feedback' MCP tool. Decorated with @mcp.tool() for automatic registration and schema generation via Pydantic Fields. Collects user feedback by launching a subprocess UI and returns structured response with text and base64-encoded images.

  @mcp.tool()
  def interactive_feedback(
      message: str = Field(description="向用户提出的具体问题"),
      predefined_options: list = Field(default=None, description="提供给用户选择的预定义选项（可选）"),
  ) -> Dict[str, str | List[Dict[str, str]]]:
      """向用户请求交互式反馈，支持文本和图片"""
      # 如果没有提供预定义选项，使用默认选项
      predefined_options_list = predefined_options if isinstance(predefined_options, list) else None
      
      # 确保预定义选项列表不为空
      if not predefined_options_list:
          predefined_options_list = [
              "已解决当前问题",
              "进一步优化程序",
              "进一步优化界面",
              "还有一些问题需要修复",           
              "没有修复任何错误",
          ]
      
      result = launch_feedback_ui(message, predefined_options_list)
      
      # 构建返回结果
      response = {
          'interactive_feedback': result.get('interactive_feedback', '')
      }
      
      # 如果有图片，添加到返回结果中
      if 'images' in result and result['images']:
          response['images'] = result['images']
      
      return response

• server.py:19-82 (helper)

  Helper utility that launches the feedback_ui.py script as a subprocess using temporary JSON file for communication, processes attached images by converting them to base64, and returns the feedback data.

  def launch_feedback_ui(summary: str, predefinedOptions: list[str] | None = None) -> dict[str, str | list[str]]:
      # 为反馈结果创建一个临时文件
      with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as tmp:
          output_file = tmp.name
  
      try:
          # 获取相对于此脚本的feedback_ui.py路径
          script_dir = os.path.dirname(os.path.abspath(__file__))
          feedback_ui_path = os.path.join(script_dir, "feedback_ui.py")
  
          # 作为单独的进程运行feedback_ui.py
          # 注意：uv似乎有一个bug，所以我们需要
          # 传递一堆特殊标志来使其工作
          args = [
              sys.executable,
              "-u",
              feedback_ui_path,
              "--prompt", summary,
              "--output-file", output_file,
              "--predefined-options", "|||".join(predefinedOptions) if predefinedOptions else ""
          ]
          result = subprocess.run(
              args,
              check=False,
              shell=False,
              stdout=subprocess.DEVNULL,
              stderr=subprocess.DEVNULL,
              stdin=subprocess.DEVNULL,
              close_fds=True
          )
          if result.returncode != 0:
              raise Exception(f"启动反馈UI失败: {result.returncode}")
  
          # 从临时文件读取结果
          with open(output_file, 'r') as f:
              result_data = json.load(f)
          os.unlink(output_file)
          
          # 处理图片路径，将图片转换为base64
          if 'image_paths' in result_data and result_data['image_paths']:
              image_data = []
              for img_path in result_data['image_paths']:
                  if os.path.exists(img_path):
                      try:
                          with open(img_path, 'rb') as img_file:
                              img_content = img_file.read()
                              img_base64 = base64.b64encode(img_content).decode('utf-8')
                              img_filename = os.path.basename(img_path)
                              image_data.append({
                                  'filename': img_filename,
                                  'content': img_base64,
                                  'path': img_path
                              })
                      except Exception as e:
                          print(f"处理图片时出错: {e}")
              
              # 添加图片数据到结果中
              result_data['images'] = image_data
          
          return result_data
      except Exception as e:
          if os.path.exists(output_file):
              os.unlink(output_file)
          raise e

• feedback_ui.py:22-25 (schema)

  Type definition for the feedback result structure used by the UI, specifying the 'interactive_feedback' field and list of image paths.

  class FeedbackResult(TypedDict):
      interactive_feedback: str
      image_paths: List[str]