def cleaner(): resource_names = [] yield resource_names for resource_name in resource_names: testing_lib.delete_dataset(resource_name)
def dataset(): # create a temporary dataset dataset = testing_lib.create_dataset(PROJECT_ID) yield dataset # tear down testing_lib.delete_dataset(dataset.name)
def dataset(): # create a temporary dataset dataset = testing_lib.create_dataset(PROJECT_ID) testing_lib.import_data(dataset.name, 'IMAGE', INPUT_GCS_URI) yield dataset # tear down testing_lib.delete_dataset(dataset.name)
def dataset(): # create a temporary dataset dataset = testing_lib.create_dataset(PROJECT_ID) testing_lib.import_data(dataset.name, datalabeling.DataType.VIDEO, INPUT_GCS_URI) yield dataset # tear down testing_lib.delete_dataset(dataset.name)
def cleaner(): # First delete old datasets. try: testing_lib.delete_old_datasets(PROJECT_ID) # We see occational RetryError while deleting old datasets. # We can just ignore it and move on. except RetryError as e: print("delete_old_datasets failed: detail {}".format(e)) resource_names = [] yield resource_names for resource_name in resource_names: testing_lib.delete_dataset(resource_name)