| # |
| # 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. |
| # |
| |
| """End-to-end test for Datastore Wordcount example.""" |
| |
| # pytype: skip-file |
| |
| import logging |
| import time |
| import unittest |
| |
| import pytest |
| from hamcrest.core.core.allof import all_of |
| |
| from apache_beam.testing.pipeline_verifiers import FileChecksumMatcher |
| from apache_beam.testing.pipeline_verifiers import PipelineStateMatcher |
| from apache_beam.testing.test_pipeline import TestPipeline |
| |
| # Don't fail during pytest collection scan. |
| try: |
| from apache_beam.examples.cookbook import datastore_wordcount |
| except ImportError: |
| datastore_wordcount = None |
| |
| |
| class DatastoreWordCountIT(unittest.TestCase): |
| |
| DATASTORE_WORDCOUNT_KIND = "DatastoreWordCount" |
| EXPECTED_CHECKSUM = '826f69ed0275858c2e098f1e8407d4e3ba5a4b3f' |
| |
| @pytest.mark.it_postcommit |
| def test_datastore_wordcount_it(self): |
| test_pipeline = TestPipeline(is_integration_test=True) |
| kind = self.DATASTORE_WORDCOUNT_KIND |
| output = '/'.join([ |
| test_pipeline.get_option('output'), |
| str(int(time.time() * 1000)), |
| 'datastore_wordcount_results' |
| ]) |
| |
| arg_sleep_secs = test_pipeline.get_option('sleep_secs') |
| sleep_secs = int(arg_sleep_secs) if arg_sleep_secs is not None else None |
| pipeline_verifiers = [ |
| PipelineStateMatcher(), |
| FileChecksumMatcher( |
| output + '*-of-*', self.EXPECTED_CHECKSUM, sleep_secs) |
| ] |
| extra_opts = { |
| 'kind': kind, |
| 'output': output, |
| # Comment this out to regenerate input data on Datastore (delete |
| # existing data first using the bulk delete Dataflow template). |
| 'read_only': True, |
| 'on_success_matcher': all_of(*pipeline_verifiers) |
| } |
| |
| datastore_wordcount.run( |
| test_pipeline.get_full_options_as_args(**extra_opts)) |
| |
| |
| if __name__ == '__main__': |
| logging.getLogger().setLevel(logging.INFO) |
| unittest.main() |