Standardizing docstrings across bigquery samples.

bigquery/api/async_query.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env python
+
 # Copyright 2015, Google, Inc.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -10,7 +12,38 @@
 # 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.
-#
+
+"""Command-line application to perform an asynchronous query in BigQuery.
+
+This sample is used on this page:
+
+    https://cloud.google.com/bigquery/querying-data#asyncqueries
+
+In order to run it, your environment must be setup with authentication
+information [1]. If you're running it in your local development environment and
+you have the Google Cloud SDK [2] installed, you can do this easily by running:
+
+    $ gcloud auth login
+
+[1] https://developers.google.com/identity/protocols/application-default-\
+credentials#howtheywork
+[2] https://cloud.google.com/sdk/
+
+For more information on BigQuery you can visit:
+
+  https://developers.google.com/bigquery
+
+For more information on the BigQuery API Python library surface you
+can visit:
+
+  https://developers.google.com/resources/api-libraries/documentation/bigquery\
+/v2/python/latest/
+
+For information on the Python Client Library visit:
+
+  https://developers.google.com/api-client-library/python
+"""
+
 import argparse
 import json
 import time
@@ -103,7 +136,8 @@ def main(project_id, query_string, batch, num_retries, interval):
 # [START main]
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(
-        description='Loads data into BigQuery.')
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('project_id', help='Your Google Cloud project ID.')
     parser.add_argument('query', help='BigQuery SQL Query.')
     parser.add_argument(

bigquery/api/export_data_to_cloud_storage.py

@@ -1,4 +1,6 @@
-#   Copyright 2015, Google, Inc.
+#!/usr/bin/env python
+
+# Copyright 2015, 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
@@ -10,7 +12,39 @@
 # 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.
-#
+
+"""Command-line application to export a table from BigQuery to Google Cloud
+Storage.
+
+This sample is used on this page:
+
+    https://cloud.google.com/bigquery/exporting-data-from-bigquery
+
+In order to run it, your environment must be setup with authentication
+information [1]. If you're running it in your local development environment and
+you have the Google Cloud SDK [2] installed, you can do this easily by running:
+
+    $ gcloud auth login
+
+[1] https://developers.google.com/identity/protocols/application-default-\
+credentials#howtheywork
+[2] https://cloud.google.com/sdk/
+
+For more information on BigQuery you can visit:
+
+  https://developers.google.com/bigquery
+
+For more information on the BigQuery API Python library surface you
+can visit:
+
+  https://developers.google.com/resources/api-libraries/documentation/bigquery\
+/v2/python/latest/
+
+For information on the Python Client Library visit:
+
+  https://developers.google.com/api-client-library/python
+"""
+
 import argparse
 import time
 import uuid
@@ -113,7 +147,8 @@ def main(cloud_storage_path, project_id, dataset_id, table_id,
 # [START main]
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(
-        description='Exports data from BigQuery to Google Cloud Storage.')
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('project_id', help='Your Google Cloud project ID.')
     parser.add_argument('dataset_id', help='BigQuery dataset to export.')
     parser.add_argument('table_id', help='BigQuery table to export.')

bigquery/api/getting_started.py

@@ -13,11 +13,38 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""Sample for making BigQuery queries using the python sdk.
+"""Command-line application that demonstrates basic BigQuery API usage.
 
-This is a command-line script that queries a public shakespeare dataset, and
-displays the 10 of Shakespeare's works with the greatest number of distinct
-words.
+This sample queries a public shakespeare dataset and displays the 10 of
+Shakespeare's works with the greatest number of distinct words.
+
+This sample is used on this page:
+
+    https://cloud.google.com/bigquery/bigquery-api-quickstart
+
+In order to run it, your environment must be setup with authentication
+information [1]. If you're running it in your local development environment and
+you have the Google Cloud SDK [2] installed, you can do this easily by running:
+
+    $ gcloud auth login
+
+[1] https://developers.google.com/identity/protocols/application-default-\
+credentials#howtheywork
+[2] https://cloud.google.com/sdk/
+
+For more information on BigQuery you can visit:
+
+  https://developers.google.com/bigquery
+
+For more information on the BigQuery API Python library surface you
+can visit:
+
+  https://developers.google.com/resources/api-libraries/documentation/bigquery\
+/v2/python/latest/
+
+For information on the Python Client Library visit:
+
+  https://developers.google.com/api-client-library/python
 """
 # [START all]
 import argparse
@@ -63,7 +90,8 @@ def main(project_id):
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(
-        description='Queries the public BigQuery Shakespeare dataset.')
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('project_id', help='Your Google Cloud Project ID.')
 
     args = parser.parse_args()

bigquery/api/list_datasets_projects.py

@@ -1,4 +1,5 @@
-# -*- coding: utf-8 -*-
+#!/usr/bin/env python
+
 # Copyright 2015, Google, Inc.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -11,10 +12,10 @@
 # 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.
-#
-"""Command-line skeleton application for BigQuery API.
 
-This is the sample for this page:
+"""Command-line application to list all projects and datasets in BigQuery.
+
+This sample is used on this page:
 
     https://cloud.google.com/bigquery/docs/managing_jobs_datasets_projects
 
@@ -24,31 +25,23 @@
 
     $ gcloud auth login
 
-Usage:
-
-    $ python list_datasets_projects.py <project-id>
-
-where <project-id> is the id of the developers console [3] project you'd like
-to list the bigquery datasets and projects for.
-
-[1] https://developers.google.com/identity/protocols/\
-    application-default-credentials#howtheywork
+[1] https://developers.google.com/identity/protocols/application-default-\
+credentials#howtheywork
 [2] https://cloud.google.com/sdk/
-[3] https://console.developers.google.com
 
-For more information on the BigQuery API you can visit:
+For more information on BigQuery you can visit:
 
-  https://developers.google.com/bigquery/docs/overview
+  https://developers.google.com/bigquery
 
 For more information on the BigQuery API Python library surface you
 can visit:
 
-  https://developers.google.com/resources/api-libraries/documentation/
-  bigquery/v2/python/latest/
+  https://developers.google.com/resources/api-libraries/documentation/bigquery\
+/v2/python/latest/
 
 For information on the Python Client Library visit:
 
-  https://developers.google.com/api-client-library/python/start/get_started
+  https://developers.google.com/api-client-library/python
 """
 
 import argparse
@@ -60,9 +53,9 @@
 
 
 # [START list_datasets]
-def list_datasets(service, project):
+def list_datasets(bigquery, project):
     try:
-        datasets = service.datasets()
+        datasets = bigquery.datasets()
         list_reply = datasets.list(projectId=project).execute()
         print('Dataset list:')
         pprint(list_reply)
@@ -74,10 +67,10 @@ def list_datasets(service, project):
 
 
 # [START list_projects]
-def list_projects(service):
+def list_projects(bigquery):
     try:
         # Start training on a data set
-        projects = service.projects()
+        projects = bigquery.projects()
         list_reply = projects.list().execute()
 
         print('Project list:')
@@ -92,14 +85,15 @@ def list_projects(service):
 def main(project_id):
     credentials = GoogleCredentials.get_application_default()
     # Construct the service object for interacting with the BigQuery API.
-    service = discovery.build('bigquery', 'v2', credentials=credentials)
+    bigquery = discovery.build('bigquery', 'v2', credentials=credentials)
 
-    list_datasets(service, project_id)
-    list_projects(service)
+    list_datasets(bigquery, project_id)
+    list_projects(bigquery)
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(
-        description='Lists BigQuery datasets and projects.')
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('project_id', help='the project id to list.')
 
     args = parser.parse_args()

bigquery/api/load_data_by_post.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env python
+
 # Copyright 2015, Google, Inc.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -10,7 +12,38 @@
 # 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.
-#
+
+"""Command-line application that loads data into BigQuery via HTTP POST.
+
+This sample is used on this page:
+
+    https://cloud.google.com/bigquery/loading-data-post-request
+
+In order to run it, your environment must be setup with authentication
+information [1]. If you're running it in your local development environment and
+you have the Google Cloud SDK [2] installed, you can do this easily by running:
+
+    $ gcloud auth login
+
+[1] https://developers.google.com/identity/protocols/application-default-\
+credentials#howtheywork
+[2] https://cloud.google.com/sdk/
+
+For more information on BigQuery you can visit:
+
+  https://developers.google.com/bigquery
+
+For more information on the BigQuery API Python library surface you
+can visit:
+
+  https://developers.google.com/resources/api-libraries/documentation/bigquery\
+/v2/python/latest/
+
+For information on the Python Client Library visit:
+
+  https://developers.google.com/api-client-library/python
+"""
+
 import argparse
 import json
 import time
@@ -124,7 +157,8 @@ def main(project_id, dataset_id, table_name, schema_path, data_path):
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(
-        description='Loads data into BigQuery.')
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('project_id', help='Your Google Cloud project ID.')
     parser.add_argument('dataset_id', help='A BigQuery dataset ID.')
     parser.add_argument(

bigquery/api/load_data_from_csv.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env python
+
 # Copyright 2015, Google, Inc.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -10,7 +12,39 @@
 # 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.
-#
+
+"""Command-line application that loads data into BigQuery from a CSV file in
+Google Cloud Storage.
+
+This sample is used on this page:
+
+    https://cloud.google.com/bigquery/loading-data-into-bigquery#loaddatagcs
+
+In order to run it, your environment must be setup with authentication
+information [1]. If you're running it in your local development environment and
+you have the Google Cloud SDK [2] installed, you can do this easily by running:
+
+    $ gcloud auth login
+
+[1] https://developers.google.com/identity/protocols/application-default-\
+credentials#howtheywork
+[2] https://cloud.google.com/sdk/
+
+For more information on BigQuery you can visit:
+
+  https://developers.google.com/bigquery
+
+For more information on the BigQuery API Python library surface you
+can visit:
+
+  https://developers.google.com/resources/api-libraries/documentation/bigquery\
+/v2/python/latest/
+
+For information on the Python Client Library visit:
+
+  https://developers.google.com/api-client-library/python
+"""
+
 import argparse
 import json
 import time
@@ -119,8 +153,8 @@ def main(project_id, dataset_id, table_name, schema_file, data_path,
 # [START main]
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(
-        description='Loads data into BigQuery from a CSV file in Google '
-                    'Cloud Storage.')
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('project_id', help='Your Google Cloud project ID.')
     parser.add_argument('dataset_id', help='A BigQuery dataset ID.')
     parser.add_argument(