#
# 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."""
from __future__ import absolute_import
from __future__ import print_function
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']
[docs]class TestDirectRunner(DirectRunner):
[docs] 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(TestDirectRunner, self).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