def test_execute(self, mock_delete_dataset): op = AutoMLDeleteDatasetOperator( dataset_id=DATASET_ID, location=GCP_LOCATION, project_id=GCP_PROJECT_ID, task_id=TASK_ID, ) op.execute(context=None) mock_delete_dataset.assert_called_once_with( location=GCP_LOCATION, dataset_id=DATASET_ID, metadata=None, project_id=GCP_PROJECT_ID, retry=None, timeout=None, )
task_id="import_dataset_task", dataset_id=dataset_id, location=GCP_AUTOML_LOCATION, input_config=IMPORT_INPUT_CONFIG, ) MODEL["dataset_id"] = dataset_id create_model = AutoMLTrainModelOperator(task_id="create_model", model=MODEL, location=GCP_AUTOML_LOCATION) model_id = "{{ task_instance.xcom_pull('create_model', key='model_id') }}" delete_model_task = AutoMLDeleteModelOperator( task_id="delete_model_task", model_id=model_id, location=GCP_AUTOML_LOCATION, project_id=GCP_PROJECT_ID, ) delete_datasets_task = AutoMLDeleteDatasetOperator( task_id="delete_datasets_task", dataset_id=dataset_id, location=GCP_AUTOML_LOCATION, project_id=GCP_PROJECT_ID, ) create_dataset_task >> import_dataset_task >> create_model >> \ delete_model_task >> delete_datasets_task
model_id = "{{ task_instance.xcom_pull('create_model_task', key='model_id') }}" # [END howto_operator_automl_create_model] # [START howto_operator_automl_delete_model] delete_model_task = AutoMLDeleteModelOperator( task_id="delete_model_task", model_id=model_id, location=GCP_AUTOML_LOCATION, project_id=GCP_PROJECT_ID, ) # [END howto_operator_automl_delete_model] delete_datasets_task = AutoMLDeleteDatasetOperator( task_id="delete_datasets_task", dataset_id=dataset_id, location=GCP_AUTOML_LOCATION, project_id=GCP_PROJECT_ID, ) ( create_dataset_task # noqa >> import_dataset_task # noqa >> list_tables_spec_task # noqa >> list_columns_spec_task # noqa >> update_dataset_task # noqa >> create_model_task # noqa >> delete_model_task # noqa >> delete_datasets_task # noqa )