text: #
  # 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 wordcount example."""
  
  from __future__ import absolute_import
  
  import logging
  import time
  import unittest
  
  from hamcrest.core.core.allof import all_of
  from nose.plugins.attrib import attr
  
  from apache_beam.examples import wordcount
  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 WordCountIT(unittest.TestCase):
  
    # Enable nose tests running in parallel
    _multiprocess_can_split_ = True
  
    # The default checksum is a SHA-1 hash generated from a sorted list of
    # lines read from expected output.
    DEFAULT_CHECKSUM = '33535a832b7db6d78389759577d4ff495980b9c0'
  
    @attr('IT')
    def test_wordcount_it(self):
      self._run_wordcount_it()
  
    @attr('IT', 'ValidatesContainer')
    def test_wordcount_fnapi_it(self):
      self._run_wordcount_it(experiment='beam_fn_api')
  
    def _run_wordcount_it(self, **opts):
      test_pipeline = TestPipeline(is_integration_test=True)
  
      # Set extra options to the pipeline for test purpose
      output = '/'.join([test_pipeline.get_option('output'),
                         str(int(time.time() * 1000)),
                         '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.DEFAULT_CHECKSUM,
                                                sleep_secs)]
      extra_opts = {'output': output,
                    'on_success_matcher': all_of(*pipeline_verifiers)}
      extra_opts.update(opts)
  
      # Register clean up before pipeline execution
      self.addCleanup(delete_files, [output + '*'])
  
      # Get pipeline options from command argument: --test-pipeline-options,
      # and start pipeline job by calling pipeline main function.
      wordcount.run(test_pipeline.get_full_options_as_args(**extra_opts))
  
  
  if __name__ == '__main__':
    logging.getLogger().setLevel(logging.DEBUG)
    unittest.main()
  