code: def __init__(self, pipeline_name, run_id, status, created_at):
      self.pipeline_spec = mock.MagicMock()
      self.pipeline_spec.pipeline_name = pipeline_name
      self.id = run_id
      self.status = status
      self.created_at = created_at
  
imports: import datetime
  import os
  import sys
  from unittest import mock
  import kfp
  import tensorflow
  from tfx.dsl.components.base import base_driver
  from tfx.dsl.io import fileio
  from tfx.tools.cli import labels
  from tfx.tools.cli.handler import kubeflow_dag_runner_patcher
  from tfx.tools.cli.handler import kubeflow_handler
  from tfx.utils import test_case_utils
label_desc: Use image node_id 1 to create a new _MockRunResponse object  with example: obj = _MockRunResponse(pipeline_name, run_id, status, created_at)