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cloud_dlp_it_test.py
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94 lines (78 loc) · 3.23 KB
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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Integration tests for Google Cloud Video Intelligence API transforms."""
import logging
import unittest
import pytest
import apache_beam as beam
from apache_beam.testing.test_pipeline import TestPipeline
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import equal_to
# Protect against environments with google-cloud-dlp unavailable.
# pylint: disable=wrong-import-order, wrong-import-position, ungrouped-imports
try:
from google.cloud import dlp_v2
except ImportError:
dlp_v2 = None
else:
from apache_beam.ml.gcp.cloud_dlp import InspectForDetails
from apache_beam.ml.gcp.cloud_dlp import MaskDetectedDetails
# pylint: enable=wrong-import-order, wrong-import-position, ungrouped-imports
_LOGGER = logging.getLogger(__name__)
INSPECT_CONFIG = {"info_types": [{"name": "EMAIL_ADDRESS"}]}
DEIDENTIFY_CONFIG = {
"info_type_transformations": {
"transformations": [{
"primitive_transformation": {
"character_mask_config": {
"masking_character": '#'
}
}
}]
}
}
def extract_inspection_results(response):
yield beam.pvalue.TaggedOutput('info_type', response[0].info_type.name)
@unittest.skipIf(dlp_v2 is None, 'GCP dependencies are not installed')
class CloudDLPIT(unittest.TestCase):
def setUp(self):
self.test_pipeline = TestPipeline(is_integration_test=True)
self.runner_name = type(self.test_pipeline.runner).__name__
self.project = self.test_pipeline.get_option('project')
@pytest.mark.it_postcommit
def test_deidentification(self):
with TestPipeline(is_integration_test=True) as p:
output = (
p | beam.Create(["[email protected]"])
| MaskDetectedDetails(
project=self.project,
deidentification_config=DEIDENTIFY_CONFIG,
inspection_config=INSPECT_CONFIG))
assert_that(output, equal_to(['####################']))
@pytest.mark.it_postcommit
def test_inspection(self):
with TestPipeline(is_integration_test=True) as p:
output = (
p | beam.Create(["[email protected]"])
| InspectForDetails(
project=self.project, inspection_config=INSPECT_CONFIG)
| beam.ParDo(extract_inspection_results).with_outputs(
'quote', 'info_type'))
assert_that(output.info_type, equal_to(['EMAIL_ADDRESS']), 'Type matches')
if __name__ == '__main__':
logging.getLogger().setLevel(logging.WARN)
unittest.main()