def test_execute(self, mock_hook):
dataset = copy.deepcopy(DATASET)
dataset["name"] = DATASET_ID
op = AutoMLTablesUpdateDatasetOperator(
dataset=dataset,
update_mask=MASK,
location=GCP_LOCATION,
task_id=TASK_ID,
)
op.execute(context=None)
mock_hook.return_value.update_dataset.assert_called_once_with(
dataset=dataset,
metadata=None,
retry=None,
timeout=None,
update_mask=MASK,
)
"{{ extract_object_id(task_instance.xcom_pull('list_tables_spec_task')[0]) }}",
location=GCP_AUTOML_LOCATION,
project_id=GCP_PROJECT_ID,
)
# [END howto_operator_automl_column_specs]
# [START howto_operator_automl_update_dataset]
update = deepcopy(DATASET)
update[
"name"] = '{{ task_instance.xcom_pull("create_dataset_task")["name"] }}'
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,
)
# [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 = create_model_task.output['model_id']
# [END howto_operator_automl_create_model]
"{{ extract_object_id(task_instance.xcom_pull('list_tables_spec_task')[0]) }}",
location=GCP_AUTOML_LOCATION,
project_id=GCP_PROJECT_ID,
)
# [END howto_operator_automl_column_specs]
# [START howto_operator_automl_update_dataset]
update = deepcopy(DATASET)
update[
"name"] = '{{ task_instance.xcom_pull("create_dataset_task")["name"] }}'
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]
