Add quick start sample.

Author: Jerjou Cheng

bigquery/samples/list_datasets_projects.py

@@ -0,0 +1,105 @@
+# -*- coding: utf-8 -*-
+# 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
+#
+#    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.
+#
+"""Command-line skeleton application for BigQuery API.
+
+This is the sample for this page:
+
+    https://cloud.google.com/bigquery/docs/managing_jobs_datasets_projects
+
+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
+
+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
+[2] https://cloud.google.com/sdk/
+[3] https://console.developers.google.com
+"""  # NOQA
+
+import argparse
+from pprint import pprint
+
+from urllib2 import HTTPError
+
+from apiclient import discovery
+
+from oauth2client.client import GoogleCredentials
+
+
+# [START list_datasets]
+def list_datasets(service, project):
+    try:
+        datasets = service.datasets()
+        list_reply = datasets.list(projectId=project).execute()
+        print('Dataset list:')
+        pprint(list_reply)
+
+    except HTTPError as err:
+        print('Error in list_datasets: %s' % err.content)
+# [END list_datasets]
+
+
+# [START list_projects]
+def list_projects(service):
+    try:
+        # Start training on a data set
+        projects = service.projects()
+        list_reply = projects.list().execute()
+
+        print('Project list:')
+        pprint(list_reply)
+
+    except HTTPError as err:
+        print('Error in list_projects: %s' % err.content)
+# [END list_projects]
+
+
+def main(project_id):
+    credentials = GoogleCredentials.get_application_default()
+    # Construct the service object for the interacting with the BigQuery API.
+    service = discovery.build('bigquery', 'v2', credentials=credentials)
+
+    list_datasets(service, project_id)
+    list_projects(service)
+
+
+# For more information on the BigQuery API you can visit:
+#
+#   https://developers.google.com/bigquery/docs/overview
+#
+# 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/get_started
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description='Lists BigQuery datasets and projects.')
+    parser.add_argument('project_id', help='the project id to list.')
+
+    args = parser.parse_args()
+
+    main(args.project_id)

bigquery/tests/test_list_datasets_projects.py

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+# 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
+#
+#    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 re
+import unittest
+
+from bigquery.samples import list_datasets_projects
+
+import tests
+
+
+class TestListDatasetsProjects(tests.CloudBaseTest):
+
+    def test_main(self):
+        with tests.capture_stdout() as mock_stdout:
+            list_datasets_projects.main(self.constants['projectId'])
+        stdout = mock_stdout.getvalue()
+        self.assertRegexpMatches(stdout, re.compile(
+            r'Project list:.*bigquery#projectList.*projects', re.DOTALL))
+        self.assertRegexpMatches(stdout, re.compile(
+            r'Dataset list:.*datasets.*datasetId', re.DOTALL))
+
+
+if __name__ == '__main__':
+    unittest.main()