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custom_ptransform_test.py
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custom_ptransform_test.py
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#
# 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.
#
"""Tests for the various custom Count implementation examples."""
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):
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(['CAT', 'DOG', 'CAT', 'CAT', 'DOG'])
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()