code: def testAirflowAdaptor(self):
      fake_dagrun = collections.namedtuple("fake_dagrun", ["run_id"])
      mock_ti = mock.Mock()
      mock_ti.get_dagrun.return_value = fake_dagrun("run_id")
      mock_component_launcher = mock.Mock()
      mock_component_launcher_class = mock.Mock()
      mock_component_launcher_class.create.return_value = (
          mock_component_launcher
      )
      airflow_component._airflow_component_launcher(
          component=self._component,
          component_launcher_class=mock_component_launcher_class,
          pipeline_info=self._pipeline_info,
          driver_args=self._driver_args,
          metadata_connection_config=self._metadata_connection_config,
          beam_pipeline_args=[],
          additional_pipeline_args={},
          component_config=None,
          ti=mock_ti,
          exec_properties={},
      )
      mock_component_launcher_class.create.assert_called_once()
      arg_list = mock_component_launcher_class.create.call_args_list
      self.assertEqual(arg_list[0][1]["pipeline_info"].run_id, "run_id")
      mock_component_launcher.launch.assert_called_once()
  
imports: import collections
  import datetime
  import os
  from unittest import mock
  from airflow import models
  from airflow.operators import python_operator
  import tensorflow
  from tfx import types
  from tfx.dsl.components.base import base_component
  from tfx.dsl.components.base import base_executor
  from tfx.dsl.components.base import executor_spec
  from tfx.orchestration import data_types
  from tfx.orchestration import metadata
  from tfx.orchestration.airflow import airflow_component
  from tfx.types import component_spec
label_desc: Use image node_id 2 for calling the AirflowComponentTest obj's underlying member method code with example usage: obj.testAirflowAdaptor() without return types