Add small, generated version of language_sentiment_text

language/cloud-client/v1/snippets.py

@@ -39,12 +39,10 @@ def sentiment_text(text):
  text = text.decode('utf-8')
 
  # Instantiates a plain text document.
- # [START language_python_migration_document_text]
  # [START language_python_migration_sentiment_text]
  document = types.Document(
  content=text,
  type=enums.Document.Type.PLAIN_TEXT)
- # [END language_python_migration_document_text]
 
  # Detects sentiment in the document. You can also analyze HTML with:
  # document.type == enums.Document.Type.HTML
@@ -87,9 +85,11 @@ def entities_text(text):
 
  # Instantiates a plain text document.
  # [START language_python_migration_entities_text]
+ # [START language_python_migration_document_text]
  document = types.Document(
  content=text,
  type=enums.Document.Type.PLAIN_TEXT)
+ # [END language_python_migration_document_text]
 
  # Detects entities in the document. You can also analyze HTML with:
  # document.type == enums.Document.Type.HTML

language/generated-samples/v1/language_sentiment_text.py

@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+#
+# Copyright 2018 Google LLC
+#
+# Licensed 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
+#
+# https://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.
+
+# DO NOT EDIT! This is a generated sample ("Request", "analyze_sentiment")
+
+# To install the latest published package dependency, execute the following:
+# pip install google-cloud-language
+
+import sys
+
+# [START language_sentiment_text]
+
+from google.cloud import language_v1
+from google.cloud.language_v1 import enums
+import six
+
+
+def sample_analyze_sentiment(content):
+ # [START language_sentiment_text_core]
+
+ client = language_v1.LanguageServiceClient()
+
+ # content = 'Your text to analyze, e.g. Hello, world!'
+
+ if isinstance(content, six.binary_type):
+ content = content.decode('utf-8')
+
+ type_ = enums.Document.Type.PLAIN_TEXT
+ document = {'type': type_, 'content': content}
+
+ response = client.analyze_sentiment(document)
+ sentiment = response.document_sentiment
+ print('Score: {}'.format(sentiment.score))
+ print('Magnitude: {}'.format(sentiment.magnitude))
+
+ # [END language_sentiment_text_core]
+
+
+# [END language_sentiment_text]
+
+
+def main():
+ # FIXME: Convert argv from strings to the correct types.
+ sample_analyze_sentiment(*sys.argv[1:])
+
+
+if __name__ == '__main__':
+ main()

language/generated-samples/v1/language_sentiment_text_test.py

@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+# Copyright 2018 Google, Inc.
+#
+# Licensed 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.
+
+import language_sentiment_text
+
+
+def test_analyze_sentiment_text_positive(capsys):
+ language_sentiment_text.sample_analyze_sentiment('Happy Happy Joy Joy')
+ out, _ = capsys.readouterr()
+ assert 'Score: 0.' in out
+
+
+def test_analyze_sentiment_text_negative(capsys):
+ language_sentiment_text.sample_analyze_sentiment('Angry Angry Sad Sad')
+ out, _ = capsys.readouterr()
+ assert 'Score: -0.' in out

language/generated-samples/v1/requirements.txt

@@ -0,0 +1 @@
+google-cloud-language==1.0.2