Add small, generated version of language_sentiment_text [(#1660)](#…

…1660)

* Generated sample: language_sentiment_text

FYI generated from the following YAML GAPIC config:

  sample_value_sets:
    - id: analyze_sentiment
      title: "Analyzing Sentiment"
      description: "Proof of concept for analyzing sentiment"
      parameters:
        defaults:
        - document.type=PLAIN_TEXT
        - document.content="Your text to analyze, e.g. Hello, world!"
        attributes:
        - parameter: document.content
          sample_argument: true
      on_success:
      - define: sentiment=$resp.document_sentiment
      - print:
        - "Score: %s"
        - sentiment.score
      - print:
        - "Magnitude: %s"
        - sentiment.magnitude
    samples:
      standalone:
      - calling_forms: ".*"
        value_sets: analyze_sentiment
        region_tag: language_sentiment_text

* Add requirements.txt (not currently generated)

* Add test for language_sentiment_text (not currently generated)

* Move language_python_migration_document_text

Move language_python_migration_document_text so it uses a different snippet in preparation for deprecation of existing language_sentiment_text sample

* Rename generated snippets so filename == region tag

* Fix test for generated code sample (file rename to match region tag)

* Update Copyright year to 2018 in new hand-written file

* Fix lint errors of #language_sentiment_text test

* Regenerate #language_sentiment_text to fix lint errors (updated Python sample template)

* Binary string support in samples!

From PR googleapis/gapic-generator#2272

language/snippets/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/snippets/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/snippets/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/snippets/generated-samples/v1/requirements.txt

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