Remove sample generator, samples should use apiclient.sample_tools.
Reviewed in https://codereview.appspot.com/8422044/.
This commit is contained in:
@@ -1,74 +0,0 @@
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#!/usr/bin/python2.4
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# -*- coding: utf-8 -*-
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#
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# Copyright (C) 2010 Google Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Generate command-line samples from stubs.
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Generates a command-line client sample application from a set of files
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that contain only the relevant portions that change between each API.
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This allows all the common code to go into a template.
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Usage:
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python sample_generator.py
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Must be run from the root of the respository directory.
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"""
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__author__ = 'jcgregorio@google.com (Joe Gregorio)'
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import os.path
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import glob
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import sys
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import pprint
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import string
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import textwrap
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if not os.path.isdir('samples/src'):
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sys.exit('Must be run from root of the respository directory.')
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f = open('samples/src/template.tmpl', 'r')
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template = string.Template(f.read())
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f.close()
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for filename in glob.glob('samples/src/*.py'):
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# Create a dictionary from the config file to later use in filling in the
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# templates.
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f = open(filename, 'r')
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contents = f.read()
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f.close()
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config, content = contents.split('\n\n', 1)
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variables = {}
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for line in config.split('\n'):
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key, value = line[1:].split(':', 1)
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variables[key.strip()] = value.strip()
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lines = content.split('\n')
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outlines = []
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for l in lines:
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if l:
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outlines.append(' ' + l)
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else:
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outlines.append('')
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content = '\n'.join(outlines)
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variables['description'] = textwrap.fill(variables['description'])
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variables['content'] = content
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variables['name'] = os.path.basename(filename).split('.', 1)[0]
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f = open(os.path.join('samples', variables['name'], variables['name'] + '.py'), 'w')
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f.write(template.substitute(variables))
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f.close()
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print 'Processed: %s' % variables['name']
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@@ -1,45 +0,0 @@
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# version: v1
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# scope: https://www.googleapis.com/auth/moderator
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# title: Simple command-line example for Moderator.
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# description: Command-line application that exercises the Google Moderator API.
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# Create a new Moderator series.
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series_body = {
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"description": "Share and rank tips for eating healthy and cheap!",
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"name": "Eating Healthy & Cheap",
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"videoSubmissionAllowed": False
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}
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series = service.series().insert(body=series_body).execute()
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print "Created a new series"
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# Create a new Moderator topic in that series.
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topic_body = {
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"description": "Share your ideas on eating healthy!",
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"name": "Ideas",
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"presenter": "liz"
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}
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topic = service.topics().insert(seriesId=series['id']['seriesId'],
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body=topic_body).execute()
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print "Created a new topic"
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# Create a new Submission in that topic.
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submission_body = {
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"attachmentUrl": "http://www.youtube.com/watch?v=1a1wyc5Xxpg",
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"attribution": {
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"displayName": "Bashan",
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"location": "Bainbridge Island, WA"
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},
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"text": "Charlie Ayers @ Google"
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}
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submission = service.submissions().insert(seriesId=topic['id']['seriesId'],
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topicId=topic['id']['topicId'], body=submission_body).execute()
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print "Inserted a new submisson on the topic"
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# Vote on that newly added Submission.
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vote_body = {
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"vote": "PLUS"
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}
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service.votes().insert(seriesId=topic['id']['seriesId'],
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submissionId=submission['id']['submissionId'],
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body=vote_body)
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print "Voted on the submission"
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@@ -1,31 +0,0 @@
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# version: v1.2
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# scope: https://www.googleapis.com/auth/prediction
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# title: Simple command-line sample for the Google Prediction API
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# description: Command-line application that trains on some data. This sample does the same thing as the Hello Prediction! example.
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# Name of Google Storage bucket/object that contains the training data
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OBJECT_NAME = "apiclient-prediction-sample/prediction_models/languages"
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# Start training on a data set
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train = service.training()
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start = train.insert(data=OBJECT_NAME, body={}).execute()
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print 'Started training'
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pprint.pprint(start)
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import time
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# Wait for the training to complete
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while True:
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status = train.get(data=OBJECT_NAME).execute()
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pprint.pprint(status)
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if 'RUNNING' != status['trainingStatus']:
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break
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print 'Waiting for training to complete.'
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time.sleep(10)
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print 'Training is complete'
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# Now make a prediction using that training
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body = {'input': {'csvInstance': ["mucho bueno"]}}
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prediction = service.predict(body=body, data=OBJECT_NAME).execute()
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print 'The prediction is:'
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pprint.pprint(prediction)
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@@ -1,109 +0,0 @@
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#!/usr/bin/python2.4
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# -*- coding: utf-8 -*-
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#
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# Copyright (C) 2010 Google Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""$title
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$description
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Usage:
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$$ python $name.py
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You can also get help on all the command-line flags the program understands
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by running:
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$$ python $name.py --help
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To get detailed log output run:
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$$ python $name.py --logging_level=DEBUG
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"""
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__author__ = 'jcgregorio@google.com (Joe Gregorio)'
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import gflags
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import httplib2
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import logging
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import pprint
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import sys
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from apiclient.discovery import build
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from oauth2client.file import Storage
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from oauth2client.client import AccessTokenRefreshError
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from oauth2client.client import OAuth2WebServerFlow
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from oauth2client.tools import run
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FLAGS = gflags.FLAGS
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# Set up a Flow object to be used if we need to authenticate. This
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# sample uses OAuth 2.0, and we set up the OAuth2WebServerFlow with
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# the information it needs to authenticate. Note that it is called
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# the Web Server Flow, but it can also handle the flow for native
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# applications <http://code.google.com/apis/accounts/docs/OAuth2.html#IA>
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# The client_id client_secret are copied from the API Access tab on
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# the Google APIs Console <http://code.google.com/apis/console>. When
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# creating credentials for this application be sure to choose an Application
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# type of "Installed application".
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FLOW = OAuth2WebServerFlow(
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client_id='433807057907.apps.googleusercontent.com',
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client_secret='jigtZpMApkRxncxikFpR+SFg',
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scope='$scope',
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user_agent='$name-cmdline-sample/1.0')
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# The gflags module makes defining command-line options easy for
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# applications. Run this program with the '--help' argument to see
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# all the flags that it understands.
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gflags.DEFINE_enum('logging_level', 'ERROR',
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['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'],
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'Set the level of logging detail.')
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def main(argv):
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# Let the gflags module process the command-line arguments
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try:
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argv = FLAGS(argv)
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except gflags.FlagsError, e:
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print '%s\\nUsage: %s ARGS\\n%s' % (e, argv[0], FLAGS)
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sys.exit(1)
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# Set the logging according to the command-line flag
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logging.getLogger().setLevel(getattr(logging, FLAGS.logging_level))
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# If the Credentials don't exist or are invalid run through the native client
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# flow. The Storage object will ensure that if successful the good
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# Credentials will get written back to a file.
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storage = Storage('$name.dat')
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credentials = storage.get()
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if credentials is None or credentials.invalid:
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credentials = run(FLOW, storage)
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# Create an httplib2.Http object to handle our HTTP requests and authorize it
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# with our good Credentials.
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http = httplib2.Http()
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http = credentials.authorize(http)
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service = build("$name", "$version", http=http)
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try:
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$content
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except AccessTokenRefreshError:
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print ("The credentials have been revoked or expired, please re-run"
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"the application to re-authorize")
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if __name__ == '__main__':
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main(sys.argv)
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@@ -1,17 +0,0 @@
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# version: v1
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# title: Command-line sample for the Google URL Shortener API.
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# scope: https://www.googleapis.com/auth/urlshortener
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# description: Simple command-line example for Google URL Shortener API that shortens a URI then expands it.
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url = service.url()
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# Create a shortened URL by inserting the URL into the url collection.
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body = {"longUrl": "http://code.google.com/apis/urlshortener/" }
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resp = url.insert(body=body).execute()
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pprint.pprint(resp)
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short_url = resp['id']
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# Convert the shortened URL back into a long URL
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resp = url.get(shortUrl=short_url).execute()
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pprint.pprint(resp)
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