wordcount_test.py

# -*- coding: utf-8 -*-
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"""Test for the wordcount example."""

# pytype: skip-file

importcollections
importlogging
importre
importunittest
importuuid

importpytest

fromapache_beam.examples.dataframeimportwordcount
fromapache_beam.testing.test_pipelineimportTestPipeline
fromapache_beam.testing.test_utilsimportcreate_file
fromapache_beam.testing.test_utilsimportread_files_from_pattern


classWordCountTest(unittest.TestCase):

SAMPLE_TEXT="""
 a
 a b
 a b c
 loooooonger words
 """

@pytest.mark.examples_postcommit
deftest_basics(self):
test_pipeline=TestPipeline(is_integration_test=True)
# Setup the files with expected content.
temp_location=test_pipeline.get_option('temp_location')
temp_path='/'.join([temp_location, str(uuid.uuid4())])
input=create_file('/'.join([temp_path, 'input.txt']), self.SAMPLE_TEXT)
expected_words=collections.defaultdict(int)
forwordinre.findall(r'[\w]+', self.SAMPLE_TEXT):
expected_words[word] +=1
extra_opts= {'input': input, 'output': '%s.result'%temp_path}
wordcount.run(test_pipeline.get_full_options_as_args(**extra_opts))
# Parse result file and compare.
results= []
lines=read_files_from_pattern(temp_path+'.result*').splitlines()
forlineinlines:
match=re.search(r'(\S+),([0-9]+)', line)
ifmatchisnotNone:
results.append((match.group(1), int(match.group(2))))
elifline.strip():
self.assertEqual(line.strip(), 'word,count')
self.assertEqual(sorted(results), sorted(expected_words.items()))


if__name__=='__main__':
logging.getLogger().setLevel(logging.INFO)
unittest.main()