#
# 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.
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"""Test for the minimal wordcount example."""

# pytype: skip-file

# beam-playground:
#   name: WordCountMinimalTest
#   description: Unit-test for the minimal WordCount example.
#   multifile: false
#   context_line: 43
#   categories:
#     - IO
#     - Combiners
#   complexity: MEDIUM
#   tags:
#     - count
#     - test

import collections
import logging
import re
import unittest
import uuid

import pytest

from apache_beam.examples import wordcount_minimal
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 WordCountMinimalTest(unittest.TestCase):
  """Unit test for wordcount_minimal example with direct runner."""

  SAMPLE_TEXT = 'a b c a b a\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):
      expected_words[word] += 1
    wordcount_minimal.main(
        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'([a-z]+): ([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()
