def test_execute(self, mock_extract_object_id, mock_create_model,
                  mock_xcom):
     op = AutoMLTrainModelOperator(
         model=MODEL,
         location=GCP_LOCATION,
         project_id=GCP_PROJECT_ID,
         task_id=TASK_ID,
     )
     op.execute(context=None)
     mock_create_model.assert_called_once_with(
         model=MODEL,
         location=GCP_LOCATION,
         project_id=GCP_PROJECT_ID,
         retry=None,
         timeout=None,
         metadata=None,
     )
     mock_xcom.assert_called_once_with(None, key="model_id", value=MODEL_ID)
示例#2
0
    dataset_id = (
        '{{ task_instance.xcom_pull("create_dataset_task", key="dataset_id") }}'
    )

    import_dataset_task = AutoMLImportDataOperator(
        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,
示例#3
0
    update["tables_dataset_metadata"][  # type: ignore
        "target_column_spec_id"
    ] = "{{ get_target_column_spec(task_instance.xcom_pull('list_columns_spec_task'), target) }}"

    update_dataset_task = AutoMLTablesUpdateDatasetOperator(
        task_id="update_dataset_task",
        dataset=update,
        location=GCP_AUTOML_LOCATION,
        project_id=GCP_PROJECT_ID,
    )
    # [END howto_operator_automl_update_dataset]

    # [START howto_operator_automl_create_model]
    create_model_task = AutoMLTrainModelOperator(
        task_id="create_model_task",
        model=MODEL,
        location=GCP_AUTOML_LOCATION,
        project_id=GCP_PROJECT_ID,
    )

    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]