blob: cac4eae15b93d1afb75b491003305ae26868a7bf [file] [log] [blame]
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# http://www.apache.org/licenses/LICENSE-2.0
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"""Tests for the various custom Count implementation examples."""
# pytype: skip-file
import logging
import unittest
import apache_beam as beam
from apache_beam.examples.cookbook import custom_ptransform
from apache_beam.testing.test_pipeline import TestPipeline
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import equal_to
class CustomCountTest(unittest.TestCase):
WORDS = ['CAT', 'DOG', 'CAT', 'CAT', 'DOG']
def create_content_input_file(self, path, contents):
logging.info('Creating temp file: %s', path)
with open(path, 'w') as f:
f.write(contents)
def test_count1(self):
self.run_pipeline(custom_ptransform.Count1())
def test_count2(self):
self.run_pipeline(custom_ptransform.Count2())
def test_count3(self):
factor = 2
self.run_pipeline(custom_ptransform.Count3(factor), factor=factor)
def run_pipeline(self, count_implementation, factor=1):
with TestPipeline() as p:
words = p | beam.Create(self.WORDS)
result = words | count_implementation
assert_that(
result, equal_to([('CAT', (3 * factor)), ('DOG', (2 * factor))]))
if __name__ == '__main__':
logging.getLogger().setLevel(logging.INFO)
unittest.main()