Enabling tests for python 3, fixing all python 3 incompatibilities.

README.md

@@ -13,6 +13,9 @@ For more detailed introduction to a product, check the README in the correspondi
 
 ## Testing
 
+The tests in this repository run against live services, therefore, it takes a bit
+of configuration to run all of the tests locally.
+
 ### Local setup
 
 Before you can run tests locally you must have:
@@ -26,7 +29,9 @@ Before you can run tests locally you must have:
         $ curl https://sdk.cloud.google.com | bash
 
 * Most tests require you to have an active, billing-enabled project on the [Google Developers Console](https://console.developers.google.com).
+
 * You will need a set of [Service Account Credentials](https://console.developers.google.com/project/_/apiui/credential) for your project in ``json`` form.
+
 * Set the environment variables appropriately for your project.
 
         $ export GOOGLE_APPLICATION_CREDENTIALS=your-service-account-json-file
@@ -43,6 +48,12 @@ If you want to run the Google App Engine tests, you will need:
 
         $ export GAE_PYTHONPATH=~/google-cloud-sdk/platform/google_appengine
 
+To run the bigquery tests, you'll need to create a bigquery dataset:
+
+* Create a dataset in your project named `test_dataset`.
+* Create a table named `test_table2`, give it the following schema:
+
+
 ### Test environments
 
 We use [tox](https://tox.readthedocs.org/en/latest/) to configure multiple python environments:

bigquery/samples/async_query.py

@@ -11,11 +11,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-from __future__ import print_function  # For python 2/3 interoperability
-
 import json
 import uuid
 
+from six.moves import input
+
 from bigquery.samples.utils import get_service
 from bigquery.samples.utils import paging
 from bigquery.samples.utils import poll_job
@@ -70,13 +70,13 @@ def run(project_id, query_string, batch, num_retries, interval):
 
 # [START main]
 def main():
-    project_id = raw_input("Enter the project ID: ")
-    query_string = raw_input("Enter the Bigquery SQL Query: ")
-    batch = raw_input("Run query as batch (y/n)?: ") in (
+    project_id = input("Enter the project ID: ")
+    query_string = input("Enter the Bigquery SQL Query: ")
+    batch = input("Run query as batch (y/n)?: ") in (
         'True', 'true', 'y', 'Y', 'yes', 'Yes')
-    num_retries = int(raw_input(
+    num_retries = int(input(
         "Enter number of times to retry in case of 500 error: "))
-    interval = raw_input(
+    interval = input(
         "Enter how often to poll the query for completion (seconds): ")
 
     for result in run(project_id, query_string, batch, num_retries, interval):

bigquery/samples/export_data_to_cloud_storage.py

@@ -13,6 +13,8 @@
 #
 import uuid
 
+from six.moves import input
+
 from bigquery.samples.utils import get_service
 from bigquery.samples.utils import poll_job
 
@@ -82,19 +84,19 @@ def run(cloud_storage_path,
 
 # [START main]
 def main():
-    projectId = raw_input("Enter the project ID: ")
-    datasetId = raw_input("Enter a dataset ID: ")
-    tableId = raw_input("Enter a table name to copy: ")
-    cloud_storage_path = raw_input(
+    projectId = input("Enter the project ID: ")
+    datasetId = input("Enter a dataset ID: ")
+    tableId = input("Enter a table name to copy: ")
+    cloud_storage_path = input(
         "Enter a Google Cloud Storage URI: ")
-    interval = raw_input(
+    interval = input(
         "Enter how often to poll the job (in seconds): ")
-    num_retries = raw_input(
+    num_retries = input(
         "Enter the number of retries in case of 500 error: ")
 
     run(cloud_storage_path,
         projectId, datasetId, tableId,
         num_retries, interval)
 
-    print 'Done exporting!'
+    print('Done exporting!')
 # [END main]

bigquery/samples/list_datasets_projects.py

@@ -31,18 +31,17 @@
 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
 """  # NOQA
 
 import argparse
 from pprint import pprint
 
-from urllib2 import HTTPError
-
 from apiclient import discovery
-
+from six.moves.urllib.error import HTTPError
 from oauth2client.client import GoogleCredentials
 
 

bigquery/samples/load_data_by_post.py

@@ -13,12 +13,12 @@
 #
 import json
 
-from bigquery.samples.utils import get_service, poll_job
-
 import httplib2
-
+from six.moves import input
 from oauth2client.client import GoogleCredentials
 
+from bigquery.samples.utils import get_service, poll_job
+
 
 # [START make_post]
 def make_post(http, schema, data, projectId, datasetId, tableId):
@@ -75,16 +75,16 @@ def make_post(http, schema, data, projectId, datasetId, tableId):
 def main():
     credentials = GoogleCredentials.get_application_default()
     http = credentials.authorize(httplib2.Http())
-    projectId = raw_input('Enter the project ID: ')
-    datasetId = raw_input('Enter a dataset ID: ')
-    tableId = raw_input('Enter a table name to load the data to: ')
-    schema_path = raw_input(
+    projectId = input('Enter the project ID: ')
+    datasetId = input('Enter a dataset ID: ')
+    tableId = input('Enter a table name to load the data to: ')
+    schema_path = input(
         'Enter the path to the schema file for the table: ')
 
     with open(schema_path, 'r') as schema_file:
         schema = schema_file.read()
 
-    data_path = raw_input('Enter the path to the data file: ')
+    data_path = input('Enter the path to the data file: ')
 
     with open(data_path, 'r') as data_file:
         data = data_file.read()

bigquery/samples/load_data_from_csv.py

@@ -14,6 +14,8 @@
 import json
 import uuid
 
+from six.moves import input
+
 from bigquery.samples.utils import get_service, poll_job
 
 
@@ -81,20 +83,20 @@ def run(source_schema, source_csv,
 
 # [START main]
 def main():
-    projectId = raw_input("Enter the project ID: ")
-    datasetId = raw_input("Enter a dataset ID: ")
-    tableId = raw_input("Enter a destination table name: ")
+    projectId = input("Enter the project ID: ")
+    datasetId = input("Enter a dataset ID: ")
+    tableId = input("Enter a destination table name: ")
 
-    schema_file_path = raw_input(
+    schema_file_path = input(
         "Enter the path to the table schema: ")
     with open(schema_file_path, 'r') as schema_file:
         schema = json.load(schema_file)
 
-    data_file_path = raw_input(
+    data_file_path = input(
         "Enter the Cloud Storage path for the CSV file: ")
-    num_retries = raw_input(
+    num_retries = input(
         "Enter number of times to retry in case of 500 error: ")
-    interval = raw_input(
+    interval = input(
         "Enter how often to poll the query for completion (seconds): ")
     run(schema,
         data_file_path,

bigquery/samples/streaming.py

@@ -11,12 +11,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-from __future__ import print_function
-
 import ast
 import json
 import uuid
 
+from six.moves import input
+
 from bigquery.samples.utils import get_service
 
 
@@ -57,18 +57,18 @@ def run(project_id, dataset_id, table_id, rows, num_retries):
 
 # [START main]
 def get_rows():
-    line = raw_input("Enter a row (python dict) into the table: ")
+    line = input("Enter a row (python dict) into the table: ")
     while line:
         yield ast.literal_eval(line)
-        line = raw_input("Enter another row into the table \n" +
-                         "[hit enter to stop]: ")
+        line = input("Enter another row into the table \n" +
+                     "[hit enter to stop]: ")
 
 
 def main():
-    project_id = raw_input("Enter the project ID: ")
-    dataset_id = raw_input("Enter a dataset ID: ")
-    table_id = raw_input("Enter a table ID : ")
-    num_retries = int(raw_input(
+    project_id = input("Enter the project ID: ")
+    dataset_id = input("Enter a dataset ID: ")
+    table_id = input("Enter a table ID : ")
+    num_retries = int(input(
         "Enter number of times to retry in case of 500 error: "))
 
     for result in run(project_id, dataset_id, table_id,

bigquery/samples/sync_query.py

@@ -11,10 +11,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-from __future__ import print_function  # For python 2/3 interoperability
-
 import json
 
+from six.moves import input
+
 from bigquery.samples.utils import get_service, paging
 
 
@@ -49,12 +49,12 @@ def run(project_id, query, timeout, num_retries):
 
 # [START main]
 def main():
-    project_id = raw_input("Enter the project ID: ")
-    query_string = raw_input("Enter the Bigquery SQL Query: ")
-    timeout = raw_input(
+    project_id = input("Enter the project ID: ")
+    query_string = input("Enter the Bigquery SQL Query: ")
+    timeout = input(
         "Enter how long to wait for the query to complete in milliseconds"
         "\n (if longer than 10 seconds, use an asynchronous query): ")
-    num_retries = int(raw_input(
+    num_retries = int(input(
         "Enter how many times to retry in case of server error"))
 
     for result in run(project_id, query_string, timeout, num_retries):

bigquery/tests/test_async_query.py

@@ -37,7 +37,9 @@ def test_async_query_runner(self):
         test_project_id = os.environ.get(tests.PROJECT_ID_ENV)
         answers = [test_project_id, self.constants['query'], 'n',
                    '1', '1']
-        with tests.mock_raw_input(answers):
+
+        with tests.mock_input_answers(
+                answers, target='bigquery.samples.async_query.input'):
             main()
 
 

compute/autoscaler/demo/frontend.py

@@ -22,10 +22,15 @@
     autoscaler/demo/tests/test_frontend.py
 """
 
-import BaseHTTPServer
+try:
+    import BaseHTTPServer
+    import SocketServer
+except:
+    import http.server as BaseHTTPServer
+    import socketserver as SocketServer
+
 from multiprocessing import Process
 import os
-import SocketServer
 import sys
 import time
 

monitoring/samples/auth.py

@@ -35,7 +35,8 @@
 
 $ export GOOGLE_APPLICATION_CREDENTIALS=/path/to/json-key.json
 
-[1] https://developers.google.com/identity/protocols/application-default-credentials
+[1] https://developers.google.com/identity/protocols/\
+    application-default-credentials
 [2] https://console.developers.google.com/project/_/apiui/credential
 """  # NOQA
 
@@ -62,19 +63,19 @@ def ListTimeseries(project_name, service):
 
     timeseries = service.timeseries()
 
-    print 'Timeseries.list raw response:'
+    print('Timeseries.list raw response:')
     try:
         response = timeseries.list(
             project=project_name, metric=METRIC, youngest=YOUNGEST).execute()
 
-        print json.dumps(response,
+        print(json.dumps(response,
                          sort_keys=True,
                          indent=4,
-                         separators=(',', ': '))
+                         separators=(',', ': ')))
     except:
-        print 'Error:'
+        print('Error:')
         for error in sys.exc_info():
-            print error
+            print(error)
 
 
 def main(project_name):
@@ -87,7 +88,7 @@ def main(project_name):
 
 if __name__ == '__main__':
     if len(sys.argv) != 2:
-        print "Usage: %s <project-name>" % sys.argv[0]
+        print("Usage: {} <project-name>".format(sys.argv[0]))
         sys.exit(1)
     main(sys.argv[1])
 # [END all]

storage/compose_objects.py

@@ -73,8 +73,8 @@ def main(argv):
             name=filename,
             bucket=args.bucket)
         resp = req.execute()
-        print '> Uploaded source file %s' % filename
-        print json.dumps(resp, indent=2)
+        print('> Uploaded source file {}'.format(filename))
+        print(json.dumps(resp, indent=2))
 
     # Construct a request to compose the source files into the destination.
     compose_req_body = {
@@ -88,17 +88,17 @@ def main(argv):
         destinationObject=args.destination,
         body=compose_req_body)
     resp = req.execute()
-    print '> Composed files into %s' % args.destination
-    print json.dumps(resp, indent=2)
+    print('> Composed files into {}'.format(args.destination))
+    print(json.dumps(resp, indent=2))
 
     # Download and print the composed object.
     req = service.objects().get_media(
         bucket=args.bucket,
         object=args.destination)
 
     res = req.execute()
-    print '> Composed file contents:'
-    print res
+    print('> Composed file contents:')
+    print(res)
 
 
 if __name__ == '__main__':

storage/list_objects.py

@@ -64,7 +64,7 @@ def main(argv):
     # specified bucket.
     req = service.buckets().get(bucket=args.bucket)
     resp = req.execute()
-    print json.dumps(resp, indent=2)
+    print(json.dumps(resp, indent=2))
     # [END list_bucket]
 
     # Create a request to objects.list to retrieve a list of objects.
@@ -76,7 +76,7 @@ def main(argv):
     # automatically handle paging with the pageToken.
     while req is not None:
         resp = req.execute()
-        print json.dumps(resp, indent=2)
+        print(json.dumps(resp, indent=2))
         req = service.objects().list_next(req, resp)
 
 if __name__ == '__main__':