| # |
| # 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. |
| # |
| |
| """Test for the multiple_output_pardo example.""" |
| |
| from __future__ import absolute_import |
| |
| import logging |
| import re |
| import tempfile |
| import unittest |
| |
| from apache_beam.examples.cookbook import multiple_output_pardo |
| from apache_beam.testing.util import open_shards |
| |
| |
| class MultipleOutputParDo(unittest.TestCase): |
| |
| SAMPLE_TEXT = 'A whole new world\nA new fantastic point of view' |
| EXPECTED_SHORT_WORDS = [('A', 2), ('new', 2), ('of', 1)] |
| EXPECTED_WORDS = [ |
| ('whole', 1), ('world', 1), ('fantastic', 1), ('point', 1), ('view', 1)] |
| |
| def create_temp_file(self, contents): |
| with tempfile.NamedTemporaryFile(delete=False) as f: |
| f.write(contents.encode('utf-8')) |
| return f.name |
| |
| def get_wordcount_results(self, result_path): |
| results = [] |
| with open_shards(result_path) as result_file: |
| for line in result_file: |
| match = re.search(r'([A-Za-z]+): ([0-9]+)', line) |
| if match is not None: |
| results.append((match.group(1), int(match.group(2)))) |
| return results |
| |
| def test_multiple_output_pardo(self): |
| temp_path = self.create_temp_file(self.SAMPLE_TEXT) |
| result_prefix = temp_path + '.result' |
| |
| multiple_output_pardo.run([ |
| '--input=%s*' % temp_path, |
| '--output=%s' % result_prefix]) |
| |
| expected_char_count = len(''.join(self.SAMPLE_TEXT.split('\n'))) |
| with open_shards(result_prefix + '-chars-*-of-*') as f: |
| contents = f.read() |
| self.assertEqual(expected_char_count, int(contents)) |
| |
| short_words = self.get_wordcount_results( |
| result_prefix + '-short-words-*-of-*') |
| self.assertEqual(sorted(short_words), sorted(self.EXPECTED_SHORT_WORDS)) |
| |
| words = self.get_wordcount_results(result_prefix + '-words-*-of-*') |
| self.assertEqual(sorted(words), sorted(self.EXPECTED_WORDS)) |
| |
| |
| if __name__ == '__main__': |
| logging.getLogger().setLevel(logging.INFO) |
| unittest.main() |