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# 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

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# http://www.apache.org/licenses/LICENSE-2.0

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# pytype: skip-file

"""Unit tests for Google Cloud Natural Language API transform."""

import unittest

from apache_beam.metrics import MetricsFilter

# Protect against environments where Google Cloud Natural Language client

# is not available.

# pylint: disable=wrong-import-order, wrong-import-position, ungrouped-imports

try:

from google.cloud import language

except ImportError:

language = None

else:

from apache_beam.ml.gcp import naturallanguageml

# pylint: enable=wrong-import-order, wrong-import-position, ungrouped-imports

@unittest.skipIf(language is None, 'GCP dependencies are not installed')

class NaturalLanguageMlTest(unittest.TestCase):

def assertCounterEqual(self, pipeline_result, counter_name, expected):

metrics = pipeline_result.metrics().query(

MetricsFilter().with_name(counter_name))

try:

counter = metrics['counters'][0]

self.assertEqual(expected, counter.result)

except IndexError:

raise AssertionError('Counter "{}" was not found'.format(counter_name))

def test_document_source(self):

document = naturallanguageml.Document('Hello, world!')

dict_ = naturallanguageml.Document.to_dict(document)

self.assertTrue('content' in dict_)

self.assertFalse('gcs_content_uri' in dict_)

document = naturallanguageml.Document('gs://sample/location', from_gcs=True)

dict_ = naturallanguageml.Document.to_dict(document)

self.assertFalse('content' in dict_)

self.assertTrue('gcs_content_uri' in dict_)

if __name__ == '__main__':

unittest.main()