Add Cloud Client NL API samples.

language/cloud-client/README.rst.in

@@ -4,7 +4,7 @@ product:
   name: Google Cloud Natural Language API
   short_name: Cloud Natural Language API
   url: https://cloud.google.com/natural-language/docs/
-  description: > 
+  description: >
     The `Google Cloud Natural Language API`_ provides natural language
     understanding technologies to developers, including sentiment analysis,
     entity recognition, and syntax analysis. This API is part of the larger
@@ -17,5 +17,8 @@ setup:
 samples:
 - name: Quickstart
   file: quickstart.py
+- name: Snippets
+  file: snippets.py
+  show_help: true
 
 cloud_client_library: true

language/cloud-client/requirements.txt

@@ -1 +1 @@
-google-cloud-language==0.21.0
+google-cloud-language==0.22.0

language/cloud-client/snippets.py

@@ -0,0 +1,172 @@
+#!/usr/bin/env python
+
+# Copyright 2016 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.
+
+"""This application demonstrates how to perform basic operations with the
+Google Cloud Natural Language API
+
+For more information, the documentation at
+https://cloud.google.com/natural-language/docs.
+"""
+
+import argparse
+
+from google.cloud import language
+
+
+def sentiment_text(text):
+    """Detects sentiment in the text."""
+    language_client = language.Client()
+
+    # Instantiates a plain text document.
+    document = language_client.document_from_text(text)
+
+    # Detects sentiment in the document. You can also analyze HTML with:
+    #   document.doc_type == language.Document.HTML
+    sentiment = document.analyze_sentiment()
+
+    print('Score: {}'.format(sentiment.score))
+    print('Magnitude: {}'.format(sentiment.magnitude))
+
+
+def sentiment_file(gcs_uri):
+    """Detects sentiment in the file located in Google Cloud Storage."""
+    language_client = language.Client()
+
+    # Instantiates a plain text document.
+    document = language_client.document_from_url(gcs_uri)
+
+    # Detects sentiment in the document. You can also analyze HTML with:
+    #   document.doc_type == language.Document.HTML
+    sentiment = document.analyze_sentiment()
+
+    print('Score: {}'.format(sentiment.score))
+    print('Magnitude: {}'.format(sentiment.magnitude))
+
+
+def entities_text(text):
+    """Detects entities in the text."""
+    language_client = language.Client()
+
+    # Instantiates a plain text document.
+    document = language_client.document_from_text(text)
+
+    # Detects entities in the document. You can also analyze HTML with:
+    #   document.doc_type == language.Document.HTML
+    entities = document.analyze_entities()
+
+    for entity in entities:
+        print('=' * 20)
+        print('{:<16}: {}'.format('name', entity.name))
+        print('{:<16}: {}'.format('type', entity.entity_type))
+        print('{:<16}: {}'.format('wikipedia_url', entity.wikipedia_url))
+        print('{:<16}: {}'.format('metadata', entity.metadata))
+        print('{:<16}: {}'.format('salience', entity.salience))
+
+
+def entities_file(gcs_uri):
+    """Detects entities in the file located in Google Cloud Storage."""
+    language_client = language.Client()
+
+    # Instantiates a plain text document.
+    document = language_client.document_from_url(gcs_uri)
+
+    # Detects sentiment in the document. You can also analyze HTML with:
+    #   document.doc_type == language.Document.HTML
+    entities = document.analyze_entities()
+
+    for entity in entities:
+        print('=' * 20)
+        print('{:<16}: {}'.format('name', entity.name))
+        print('{:<16}: {}'.format('type', entity.entity_type))
+        print('{:<16}: {}'.format('wikipedia_url', entity.wikipedia_url))
+        print('{:<16}: {}'.format('metadata', entity.metadata))
+        print('{:<16}: {}'.format('salience', entity.salience))
+
+
+def syntax_text(text):
+    """Detects syntax in the text."""
+    language_client = language.Client()
+
+    # Instantiates a plain text document.
+    document = language_client.document_from_text(text)
+
+    # Detects syntax in the document. You can also analyze HTML with:
+    #   document.doc_type == language.Document.HTML
+    tokens = document.analyze_syntax()
+
+    for token in tokens:
+        print('{}: {}'.format(token.part_of_speech, token.text_content))
+
+
+def syntax_file(gcs_uri):
+    """Detects syntax in the file located in Google Cloud Storage."""
+    language_client = language.Client()
+
+    # Instantiates a plain text document.
+    document = language_client.document_from_url(gcs_uri)
+
+    # Detects syntax in the document. You can also analyze HTML with:
+    #   document.doc_type == language.Document.HTML
+    tokens = document.analyze_syntax()
+
+    for token in tokens:
+        print('{}: {}'.format(token.part_of_speech, token.text_content))
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
+    subparsers = parser.add_subparsers(dest='command')
+
+    sentiment_text_parser = subparsers.add_parser(
+        'sentiment-text', help=sentiment_text.__doc__)
+    sentiment_text_parser.add_argument('text')
+
+    sentiment_file_parser = subparsers.add_parser(
+        'sentiment-file', help=sentiment_file.__doc__)
+    sentiment_file_parser.add_argument('gcs_uri')
+
+    entities_text_parser = subparsers.add_parser(
+        'entities-text', help=entities_text.__doc__)
+    entities_text_parser.add_argument('text')
+
+    entities_file_parser = subparsers.add_parser(
+        'entities-file', help=entities_file.__doc__)
+    entities_file_parser.add_argument('gcs_uri')
+
+    syntax_text_parser = subparsers.add_parser(
+        'syntax-text', help=syntax_text.__doc__)
+    syntax_text_parser.add_argument('text')
+
+    syntax_file_parser = subparsers.add_parser(
+        'syntax-file', help=syntax_file.__doc__)
+    syntax_file_parser.add_argument('gcs_uri')
+
+    args = parser.parse_args()
+
+    if args.command == 'sentiment-text':
+        sentiment_text(args.text)
+    elif args.command == 'sentiment-file':
+        sentiment_file(args.gcs_uri)
+    elif args.command == 'entities-text':
+        entities_text(args.text)
+    elif args.command == 'entities-file':
+        entities_file(args.gcs_uri)
+    elif args.command == 'syntax-text':
+        syntax_text(args.text)
+    elif args.command == 'syntax-file':
+        syntax_file(args.gcs_uri)

language/cloud-client/snippets_test.py

@@ -0,0 +1,74 @@
+# Copyright 2016 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 snippets
+
+
+def test_sentiment_text(cloud_config, capsys):
+    snippets.sentiment_text('President Obama is speaking at the White House.')
+    out, _ = capsys.readouterr()
+    assert 'Score: 1' in out
+
+
+def test_sentiment_file(cloud_config, capsys):
+    cloud_storage_input_uri = 'gs://{}/test.txt'.format(
+        cloud_config.storage_bucket)
+    snippets.sentiment_file(cloud_storage_input_uri)
+    out, _ = capsys.readouterr()
+    assert 'Score: 1' in out
+
+
+def test_entities_text(cloud_config, capsys):
+    snippets.entities_text('President Obama is speaking at the White House.')
+    out, _ = capsys.readouterr()
+    assert 'name: Obama' in out
+
+
+def test_entities_file(cloud_config, capsys):
+    cloud_storage_input_uri = 'gs://{}/test.txt'.format(
+        cloud_config.storage_bucket)
+    snippets.entities_file(cloud_storage_input_uri)
+    out, _ = capsys.readouterr()
+    assert 'name: Obama' in out
+
+
+def test_syntax_text(cloud_config, capsys):
+    snippets.syntax_text('President Obama is speaking at the White House.')
+    out, _ = capsys.readouterr()
+    assert 'NOUN: President
+    'NOUN: Obama'
+    'VERB: is'
+    'VERB: speaking'
+    'ADP: at'
+    'DET: the'
+    'NOUN: White'
+    'NOUN: House'
+    'PUNCT: .' in out
+
+
+def test_syntax_file(cloud_config, capsys):
+    cloud_storage_input_uri = 'gs://{}/test.txt'.format(
+        cloud_config.storage_bucket)
+    snippets.syntax_file(cloud_storage_input_uri)
+    out, _ = capsys.readouterr()
+    assert 'NOUN: President
+    'NOUN: Obama'
+    'VERB: is'
+    'VERB: speaking'
+    'ADP: at'
+    'DET: the'
+    'NOUN: White'
+    'NOUN: House'
+    'PUNCT: .' in out