| # |
| # 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. |
| # |
| |
| """Unit tests for Google Cloud Video Intelligence API transforms.""" |
| |
| from __future__ import absolute_import |
| |
| import logging |
| import unittest |
| |
| import mock |
| |
| import apache_beam as beam |
| from apache_beam.metrics import Metrics |
| from apache_beam.testing.test_pipeline import TestPipeline |
| |
| # 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 |
| from apache_beam.ml.gcp.cloud_dlp import _DeidentifyFn |
| from apache_beam.ml.gcp.cloud_dlp import _InspectFn |
| # pylint: enable=wrong-import-order, wrong-import-position, ungrouped-imports |
| |
| _LOGGER = logging.getLogger(__name__) |
| |
| |
| @unittest.skipIf(dlp_v2 is None, 'GCP dependencies are not installed') |
| class TestDeidentifyText(unittest.TestCase): |
| def test_exception_raised_when_no_config_is_provided(self): |
| with self.assertRaises(ValueError): |
| with TestPipeline() as p: |
| # pylint: disable=expression-not-assigned |
| p | MaskDetectedDetails() |
| |
| |
| @unittest.skipIf(dlp_v2 is None, 'GCP dependencies are not installed') |
| class TestDeidentifyFn(unittest.TestCase): |
| def test_deidentify_called(self): |
| class ClientMock(object): |
| def deidentify_content(self, *args, **kwargs): |
| called = Metrics.counter('test_deidentify_text', 'called') |
| called.inc() |
| operation = mock.Mock() |
| item = mock.Mock() |
| item.value = [None] |
| operation.item = item |
| return operation |
| |
| def project_path(self, *args): |
| return 'test' |
| |
| with mock.patch('google.cloud.dlp_v2.DlpServiceClient', ClientMock): |
| p = TestPipeline() |
| deidentify_config = { |
| "info_type_transformations": { |
| "transformations": [{ |
| "primitive_transformation": { |
| "character_mask_config": { |
| "masking_character": '#' |
| } |
| } |
| }] |
| } |
| } |
| # pylint: disable=expression-not-assigned |
| ( |
| p |
| | beam.Create(['mary.sue@example.com', 'john.doe@example.com']) |
| | beam.ParDo(_DeidentifyFn(config=deidentify_config))) |
| result = p.run() |
| result.wait_until_finish() |
| called = result.metrics().query()['counters'][0] |
| self.assertEqual(called.result, 2) |
| |
| |
| @unittest.skipIf(dlp_v2 is None, 'GCP dependencies are not installed') |
| class TestInspectText(unittest.TestCase): |
| def test_exception_raised_then_no_config_provided(self): |
| with self.assertRaises(ValueError): |
| with TestPipeline() as p: |
| #pylint: disable=expression-not-assigned |
| p | InspectForDetails() |
| |
| |
| @unittest.skipIf(dlp_v2 is None, 'GCP dependencies are not installed') |
| class TestDeidentifyFn(unittest.TestCase): |
| def test_inspect_called(self): |
| class ClientMock(object): |
| def inspect_content(self, *args, **kwargs): |
| called = Metrics.counter('test_inspect_text', 'called') |
| called.inc() |
| operation = mock.Mock() |
| operation.result = mock.Mock() |
| operation.result.findings = [None] |
| return operation |
| |
| def project_path(self, *args): |
| return 'test' |
| |
| with mock.patch('google.cloud.dlp_v2.DlpServiceClient', ClientMock): |
| p = TestPipeline() |
| inspect_config = {"info_types": [{"name": "EMAIL_ADDRESS"}]} |
| # pylint: disable=expression-not-assigned |
| ( |
| p |
| | beam.Create(['mary.sue@example.com', 'john.doe@example.com']) |
| | beam.ParDo(_InspectFn(config=inspect_config))) |
| result = p.run() |
| result.wait_until_finish() |
| called = result.metrics().query()['counters'][0] |
| self.assertEqual(called.result, 2) |
| |
| |
| if __name__ == '__main__': |
| logging.getLogger().setLevel(logging.INFO) |
| unittest.main() |