sdks/python/apache_beam/examples/dataframe/wordcount_test.py

# -*- coding: utf-8 -*-
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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.dataframe 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


class WordCountTest(unittest.TestCase):

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

  @pytest.mark.examples_postcommit
  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)
    expected_words = collections.defaultdict(int)
    for word in re.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()
    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))))
      elif line.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()