| # |
| # 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. |
| # |
| |
| """Wrapper of Beam runners that's built for running and verifying e2e tests.""" |
| |
| # pytype: skip-file |
| |
| from apache_beam.internal import pickler |
| from apache_beam.options.pipeline_options import StandardOptions |
| from apache_beam.options.pipeline_options import TestOptions |
| from apache_beam.runners.direct.direct_runner import DirectRunner |
| from apache_beam.runners.runner import PipelineState |
| |
| __all__ = ['TestDirectRunner'] |
| |
| |
| class TestDirectRunner(DirectRunner): |
| def run_pipeline(self, pipeline, options): |
| """Execute test pipeline and verify test matcher""" |
| test_options = options.view_as(TestOptions) |
| on_success_matcher = test_options.on_success_matcher |
| is_streaming = options.view_as(StandardOptions).streaming |
| |
| # [BEAM-1889] Do not send this to remote workers also, there is no need to |
| # send this option to remote executors. |
| test_options.on_success_matcher = None |
| |
| self.result = super().run_pipeline(pipeline, options) |
| |
| try: |
| if not is_streaming: |
| self.result.wait_until_finish() |
| |
| if on_success_matcher: |
| from hamcrest import assert_that as hc_assert_that |
| hc_assert_that(self.result, pickler.loads(on_success_matcher)) |
| finally: |
| if not PipelineState.is_terminal(self.result.state): |
| self.result.cancel() |
| self.result.wait_until_finish() |
| |
| return self.result |