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 http://www.example.com/) or
using a free name on the appspot.com
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
https://developers.google.com/appengine/downloads?
hl=th#Google_App_Engine_SDK_for_Python
2. Create a new project using Google Cloud
console
Go to https://cloud.google.com/console
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 main.py
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='https://www.googleapis.com/auth/calendar')
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 http://code.google.com/apis/console
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 https://code.google.com/apis/console and click
Services and enable Calendar API
2. Specify OAuth2 setting and service that we want to call
decorator = OAuth2Decorator(
client_id='194577071906tgj1to860hhjbnjio1mf7ij0pljh77kl.apps.googleusercontent.com',
client_secret='y3gWfp6FIaqiusr7YYViKKPM',
scope='https://www.googleapis.com/auth/calendar')
service = build('calendar', 'v3')
1. Suppose that we want to create Google calendar event
● Need to look for request body at
https://developers.google.com/google-apps/calendar/v3/
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 = service.events().insert(calendarId='primary',
body=event).execute(http=http)
self.response.write("Create event success with ID: " + insert_event['id'])
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 http://cloud.google.com
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 dev_appserver.py
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
28. Thank you
• Kanda Runapongsa Saikaew
• Khon Kaen University, Thailand
• Assistant Professor of Department of
Computer Engineering
• Associate Director for Administration,
Computer Center
• krunapon@kku.ac.th
• Twitter @krunapon
• https://plus.google.com/u/
0/118244887738724224199