Language v1 (#1202)

* copy classify_test samples and tests to v1

* flake

* client library version

Author: dizcology

language/cloud-client/v1/snippets.py

@@ -253,12 +253,61 @@ def entity_sentiment_file(gcs_uri):
         print(u'Sentiment: {}\n'.format(entity.sentiment))
 
 
+# [START def_classify_text]
+def classify_text(text):
+    """Classifies content categories of the provided text."""
+    client = language.LanguageServiceClient()
+
+    if isinstance(text, six.binary_type):
+        text = text.decode('utf-8')
+
+    document = types.Document(
+        content=text.encode('utf-8'),
+        type=enums.Document.Type.PLAIN_TEXT)
+
+    categories = client.classify_text(document).categories
+
+    for category in categories:
+        print(u'=' * 20)
+        print(u'{:<16}: {}'.format('name', category.name))
+        print(u'{:<16}: {}'.format('confidence', category.confidence))
+# [END def_classify_text]
+
+
+# [START def_classify_file]
+def classify_file(gcs_uri):
+    """Classifies content categories of the text in a Google Cloud Storage
+    file.
+    """
+    client = language.LanguageServiceClient()
+
+    document = types.Document(
+        gcs_content_uri=gcs_uri,
+        type=enums.Document.Type.PLAIN_TEXT)
+
+    categories = client.classify_text(document).categories
+
+    for category in categories:
+        print(u'=' * 20)
+        print(u'{:<16}: {}'.format('name', category.name))
+        print(u'{:<16}: {}'.format('confidence', category.confidence))
+# [END def_classify_file]
+
+
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(
         description=__doc__,
         formatter_class=argparse.RawDescriptionHelpFormatter)
     subparsers = parser.add_subparsers(dest='command')
 
+    classify_text_parser = subparsers.add_parser(
+        'classify-text', help=classify_text.__doc__)
+    classify_text_parser.add_argument('text')
+
+    classify_text_parser = subparsers.add_parser(
+        'classify-file', help=classify_file.__doc__)
+    classify_text_parser.add_argument('gcs_uri')
+
     sentiment_entities_text_parser = subparsers.add_parser(
         'sentiment-entities-text', help=entity_sentiment_text.__doc__)
     sentiment_entities_text_parser.add_argument('text')
@@ -309,3 +358,7 @@ def entity_sentiment_file(gcs_uri):
         entity_sentiment_text(args.text)
     elif args.command == 'sentiment-entities-file':
         entity_sentiment_file(args.gcs_uri)
+    elif args.command == 'classify-text':
+        classify_text(args.text)
+    elif args.command == 'classify-file':
+        classify_file(args.gcs_uri)

language/cloud-client/v1/snippets_test.py

@@ -19,6 +19,7 @@
 
 BUCKET = os.environ['CLOUD_STORAGE_BUCKET']
 TEST_FILE_URL = 'gs://{}/text.txt'.format(BUCKET)
+LONG_TEST_FILE_URL = 'gs://{}/android_text.txt'.format(BUCKET)
 
 
 def test_sentiment_text(capsys):
@@ -77,3 +78,20 @@ def test_sentiment_entities_utf(capsys):
         'foo→bar')
     out, _ = capsys.readouterr()
     assert 'Begin Offset : 4' in out
+
+
+def test_classify_text(capsys):
+    snippets.classify_text(
+        'Android is a mobile operating system developed by Google, '
+        'based on the Linux kernel and designed primarily for touchscreen '
+        'mobile devices such as smartphones and tablets.')
+    out, _ = capsys.readouterr()
+    assert 'name' in out
+    assert '/Computers & Electronics' in out
+
+
+def test_classify_file(capsys):
+    snippets.classify_file(LONG_TEST_FILE_URL)
+    out, _ = capsys.readouterr()
+    assert 'name' in out
+    assert '/Computers & Electronics' in out