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Introduction to Google App Engine


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Introduction to Google App Engine

Introduction to Google App Engine

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  • 1. Introduction to Google App Engine (GAE) Asst. Prof. Dr. Kanda Runapongsa Saikaew Warakorn Chanprasomchai Charuwit Nodthaisong Khon Kaen University
  • 2. Agenda ●  ●  ●  ●  ●  ●  ●  What is GAE? Developing Apps on GAE Getting started Using Google authentication on GAE app Invoking Google Calendar API Using Google Cloud SQL Conclusion
  • 3. What is GAE? ●  Google App Engine lets you run web applications on Google’s infrastructure ●  App Engine applications are easy to build, maintain, and scale as traffic and data storage needs grow ●  With App Engine, there are no servers to maintain ●  You can serve your app from your domain name (such as or using a free name on the
  • 4. Benefits of GAE ●  You only pay for what you use ●  No set-up costs and no recurring fees ●  The resources your application uses, such as storage and bandwidth, are measured by the gigabyte, and billed at competitive rates ●  You can control the maximum amounts of resources your app can consume ●  All applications can use up to 1 GB of storage and enough CPU and bandwidth to support an efficient app serving around 5 million page views a month, absolutely free
  • 5. Developing Apps on GAE ●  Using standard Java technologies ○  Support many languages with JVM-based interpreter or compiler ■  Java, JavaScript, Ruby ●  Using Python runtime environment ○  ○  Once Guido van Rossum, the inventor of Python, was in the Python App Engine team First language supported on GAE ●  Using PHP runtime (preview) ●  Using Go runtime environment (experimental)
  • 6. Getting Started (1 of 5) 1. Download Google App Engine SDK hl=th#Google_App_Engine_SDK_for_Python 2. Create a new project using Google Cloud console Go to
  • 7. Getting Started (2 of 5) 3. Create GAE Project using the Application name value the same as Project ID
  • 8. Getting Started (3 of 5) 4. In the project, you will have these files automatically created We need to write
  • 9. Getting Started (4 of 5) import webapp2 // python library class MainHandler(webapp2.RequestHandler): // Function def get(self): // Write “Hello world!” on the web self.response.write('Hello world!') app = webapp2.WSGIApplication([ ('/', MainHandler) ], debug=True)
  • 10. Getting Started (5 of 5) 4. Deploy on Google app engine 5. Check the app via the browser
  • 11. Google Authentication on GAE ●  To make API calls access private data, the user that has access to the private data must grant your application access ●  Therefore, your application must be authenticated, the user must grant access for your application, and the user must be authenticated in order to grant that access ●  All of this is accomplished with OAuth 2.0 and libraries written for it.
  • 12. Google API’s Client Library for Python ●  The Google APIs Client Library for Python has special support for Google App Engine applications ●  There are two decorator classes to choose from: •  OAuth2Decorator: Use the OAuth2Decorator class to contruct a decorator with your client ID and secret. •  OAuth2DecoratorFromClientSecrets: Use the OAuth2DecoratorFromClientSecrets class to contruct a decorator using a client_secrets.json file described in the flow_from_secrets() section of the OAuth 2.0 page
  • 13. Using Decorators ●  Need to add a specific URL handler to your application to handle the redirection from the authorization server back to your application def main() application = webapp.WSGIApplication( [ ('/', MainHandler), ('/about', AboutHandler), (decorator.callback_path, decorator.callback_handler()), ], debug=True) run_wsgi_app(application)
  • 14. Sample Authentication Code In the following code snippet, the OAuth2Decorator class is used to create an oauth_required decorator, and the decorator is applied to a function that accesses the Google Calendar API decorator = OAuth2Decorator( client_id='your_client_id', client_secret='your_client_secret', scope='') service = build('calendar', 'v3') class MainHandler(webapp.RequestHandler): @decorator.oauth_required def get(self): # Get the authorized Http object created by the decorator. http = decorator.http() ...
  • 15. How to get Client ID and Client Secret 1. Go to 2. Go to API Access - Click button “Create Another Client ID...” 3. Fill in information about the application
  • 16. Invoking Google Calendar API 1.  Go to and click Services and enable Calendar API 2.  Specify OAuth2 setting and service that we want to call decorator = OAuth2Decorator( client_id='', client_secret='y3gWfp6FIaqiusr7YYViKKPM', scope='') service = build('calendar', 'v3') 1.  Suppose that we want to create Google calendar event ●  Need to look for request body at reference/events/insert
  • 17. Creating Google Calendar Event class MainPage(webapp2.RequestHandler): @decorator.oauth_required def get(self): http = decorator.http() event = { 'summary': 'Google App Engine Training', 'location': 'Thai-Nichi Institute of Technology', 'start': { 'dateTime': '2013-07-20T09:00:00.000+07:00' }, 'end': { 'dateTime': '2013-07-20T16:00:00.000+07:00' } } insert_event ='primary', body=event).execute(http=http) self.response.write("Create event success with ID: " + insert_event['id'])
  • 18. The App Asking the User for Permission
  • 19. Result of Creating Calendar Event
  • 20. Using Google Cloud SQL ●  Google Cloud SQL is a web service that allows you to create, configure, and use relational databases that live in Google's cloud ●  By offering the capabilities of a familiar MySQL database, the service enables you to easily move your data, applications, and services in and out of the cloud ●  There is a range of configurations from small instances costing just $0.025 per hour up to high end instances with 16GB of RAM and 100GB of data storage.
  • 21. How to Create a Instance on Cloud SQL 1. Go to Google Cloud Console at 2. Choose project that we want to use Cloud SQL 3. At the side menu, choose Cloud SQL 4. Then click button New Instance
  • 22. Accessing Cloud SQL (1 of 4) 1. Import library rdbms from google.appengine.api import rdbms 2. Set up instance name _INSTANCE_NAME = "virtual-airport-281:prinyaworkshop" 3. Connect to database conn = rdbms.connect(instance=_INSTANCE_NAME, database='Comment') cursor = conn.cursor() 4.Specify SQL command to use cursor.execute('SELECT comment, name FROM comment')
  • 23. Accessing Cloud SQL (2 of 4) 5. Using templates to display the data obtained from SQL result templates = { 'page_title' : 'Template Workshop', 'comment' : cursor.fetchall(), } {% for row in comment %} <tr> <td>{{ row[0] }}</td> <td>{{ row[1] }}</td> </tr> {% endfor %}
  • 24. Accessing Cloud SQL (3 of 4) If you find that there is the problem, “The rdbms API is not available because the MySQLdb library could not be loaded”, ●  Type import MySQLdb in file 6. You can use any other SQL commands such as INSERT or DELETE with the function cursor.execute() cursor.execute("INSERT INTO comment (comment,name) VALUES (%s,%s)", (comment, name)); conn.commit(); 7. After you finish with all tasks with cloud SQL, you should issue function close() conn.close();
  • 25. Sample Result ●  As the user type comment, and name and click button Insert data, the app will insert data into Cloud SQL, and then display the inserted data in the table on the page
  • 26. Conclusion ●  Google App Engine (GAE) will help developers to make it easy to build scalable applications ●  There are two favorite languages for implementing apps on GAE ○  Python and Java ●  To call Google API to access data, need to use OAuth 2.0 ●  To leverage existing relational databases, should use Cloud SQL
  • 27. References choosing-java-vs-python-on-google-appengine
  • 28. Thank you • Kanda Runapongsa Saikaew •  Khon Kaen University, Thailand •  Assistant Professor of Department of Computer Engineering •  Associate Director for Administration, Computer Center • •  Twitter @krunapon • 0/118244887738724224199