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
)