Source code for apache_beam.runners.dataflow.test_dataflow_runner

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"""Wrapper of Beam runners that's built for running and verifying e2e tests."""

from apache_beam.internal import pickler
from apache_beam.options.pipeline_options import TestOptions, GoogleCloudOptions
from apache_beam.runners.dataflow.dataflow_runner import DataflowRunner


__all__ = ['TestDataflowRunner']


[docs]class TestDataflowRunner(DataflowRunner):
[docs] def run(self, pipeline): """Execute test pipeline and verify test matcher""" options = pipeline._options.view_as(TestOptions) on_success_matcher = options.on_success_matcher # [BEAM-1889] Do not send this to remote workers also, there is no need to # send this option to remote executors. options.on_success_matcher = None self.result = super(TestDataflowRunner, self).run(pipeline) if self.result.has_job: project = pipeline._options.view_as(GoogleCloudOptions).project job_id = self.result.job_id() # TODO(markflyhigh)(BEAM-1890): Use print since Nose dosen't show logs # in some cases. print ( 'Found: https://console.cloud.google.com/dataflow/job/%s?project=%s' % (job_id, project)) 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)) return self.result