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)
