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# -*- coding: utf-8 -*-
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# the License. You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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"""Test for the wordcount example."""
# pytype: skip-file
import collections
import logging
import re
import unittest
import uuid
import pytest
from apache_beam.examples import wordcount
from apache_beam.testing.test_pipeline import TestPipeline
from apache_beam.testing.test_utils import create_file
from apache_beam.testing.test_utils import read_files_from_pattern
@pytest.mark.examples_postcommit
class WordCountTest(unittest.TestCase):
SAMPLE_TEXT = (
'a b c a b a\nacento gráfico\nJuly 30, 2018\n\n aa bb cc aa bb aa')
def test_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)
extra_opts = {'input': input, 'output': '%s.result' % temp_path}
expected_words = collections.defaultdict(int)
for word in re.findall(r'[\w\']+', self.SAMPLE_TEXT, re.UNICODE):
expected_words[word] += 1
wordcount.run(
test_pipeline.get_full_options_as_args(**extra_opts),
save_main_session=False)
# Parse result file and compare.
results = []
lines = read_files_from_pattern(temp_path + '.result*').splitlines()
for line in lines:
match = re.search(r'(\S+): ([0-9]+)', line)
if match is not None:
results.append((match.group(1), int(match.group(2))))
self.assertEqual(sorted(results), sorted(expected_words.items()))
if __name__ == '__main__':
logging.getLogger().setLevel(logging.INFO)
unittest.main()