| # |
| # 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 the user score example. |
| |
| Code: beam/sdks/python/apache_beam/examples/complete/game/user_score.py |
| Usage: |
| |
| python setup.py nosetests --test-pipeline-options=" \ |
| --runner=TestDataflowRunner \ |
| --project=... \ |
| --staging_location=gs://... \ |
| --temp_location=gs://... \ |
| --output=gs://... \ |
| --sdk_location=... \ |
| |
| """ |
| |
| from __future__ import absolute_import |
| |
| import logging |
| import unittest |
| import uuid |
| |
| from hamcrest.core.core.allof import all_of |
| from nose.plugins.attrib import attr |
| |
| from apache_beam.examples.complete.game import user_score |
| from apache_beam.runners.runner import PipelineState |
| from apache_beam.testing.pipeline_verifiers import FileChecksumMatcher |
| from apache_beam.testing.pipeline_verifiers import PipelineStateMatcher |
| from apache_beam.testing.test_pipeline import TestPipeline |
| from apache_beam.testing.test_utils import delete_files |
| |
| |
| class UserScoreIT(unittest.TestCase): |
| |
| DEFAULT_INPUT_FILE = 'gs://dataflow-samples/game/gaming_data*' |
| DEFAULT_EXPECTED_CHECKSUM = '9f3bd81669607f0d98ec80ddd477f3277cfba0a2' |
| |
| def setUp(self): |
| self.test_pipeline = TestPipeline(is_integration_test=True) |
| self.uuid = str(uuid.uuid4()) |
| |
| self.output = '/'.join([self.test_pipeline.get_option('output'), |
| self.uuid, |
| 'results']) |
| |
| @attr('IT') |
| def test_user_score_it(self): |
| |
| state_verifier = PipelineStateMatcher(PipelineState.DONE) |
| arg_sleep_secs = self.test_pipeline.get_option('sleep_secs') |
| sleep_secs = int(arg_sleep_secs) if arg_sleep_secs is not None else None |
| file_verifier = FileChecksumMatcher(self.output + '/*-of-*', |
| self.DEFAULT_EXPECTED_CHECKSUM, |
| sleep_secs) |
| |
| extra_opts = {'input': self.DEFAULT_INPUT_FILE, |
| 'output': self.output + '/user-score', |
| 'on_success_matcher': all_of(state_verifier, |
| file_verifier)} |
| |
| # Register clean up before pipeline execution |
| self.addCleanup(delete_files, [self.output + '*']) |
| |
| # Get pipeline options from command argument: --test-pipeline-options, |
| # and start pipeline job by calling pipeline main function. |
| user_score.run( |
| self.test_pipeline.get_full_options_as_args(**extra_opts), |
| save_main_session=False) |
| |
| |
| if __name__ == '__main__': |
| logging.getLogger().setLevel(logging.DEBUG) |
| unittest.main() |