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Python for Google App Engine

By : Pippi

4.1 (10)

Python for Google App Engine

4.1 (10)

By: Pippi

Overview of this book

If you are a Python developer, whether you have experience in web applications development or not, and want to rapidly deploy a scalable backend service or a modern web application on Google App Engine, then this book is for you.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

Free Chapter

1. Getting Started

1. Getting Started

The cloud computing stack – SaaS, PaaS, and IaaS

Google Cloud Platform

What Google App Engine does

Making our first Python application

Google Developer Console

Summary

2. A More Complex Application

2. A More Complex Application

Experimenting on the Notes application

Authenticating users

HTML templates with Jinja2

Handling forms

Persisting data in Datastore

Using static files

Summary

3. Storing and Processing Users' Data

3. Storing and Processing Users' Data

Uploading files to Google Cloud Storage

Transforming images with the Images service

Processing long jobs with the task queue

Scheduling tasks with Cron

Sending notification e-mails

Receiving users' data as e-mail messages

Summary

4. Improving Application Performance

4. Improving Application Performance

Advanced use of Datastore

Using Memcache

Breaking our application into modules

Summary

5. Storing Data in Google Cloud SQL

5. Storing Data in Google Cloud SQL

Creating a Cloud SQL instance

Connecting to the instance with the MySQL console

Connecting to the instance from our application

Loading and saving data

Using the local MySQL installation for development

Summary

6. Using Channels to Implement a Real-time Application

6. Using Channels to Implement a Real-time Application

Understanding how the Channel API works

Making our application real time

Implementing the server

Tracking connections and disconnections

Summary

7. Building an Application with Django

7. Building an Application with Django

Setting up the local environment

Rewriting our application using Django 1.7

Summary

8. Exposing a REST API with Google Cloud Endpoints

8. Exposing a REST API with Google Cloud Endpoints

Reasons to use a REST API

Designing and building the API

Implementing API endpoints

Testing the API with API Explorer

Protecting an endpoint with OAuth2

Summary

Index

Index

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Implementing the server

We will start by adding the Python code needed to handle channels on the server side. We expect the JavaScript client will make an HTTP GET request to request a channel, so we add a request handler that will create a channel and return a token in the JSON format to access it. We first import the modules needed at the top of our main.py module:

from google.appengine.api import channel
from utils import get_notification_client_id
import json

Then, we add the code for the request handler:

class GetTokenHandler(webapp2.RequestHandler):
    def get(self):
        user = users.get_current_user()
        if user is None:
            self.abort(401)

        client_id = get_notification_client_id(user)
        token = channel.create_channel(client_id, 60)

        self.response.headers['Content-Type'] = 'application/json'
        self.response.write(json.dumps({'token': token}))

We first check that the user is logged in and return an HTTP 401: Unauthorized...

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