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Python for Google App Engine

You're reading from   Python for Google App Engine Master the full range of development features provided by Google App Engine to build and run scalable web applications in Python

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Product type Paperback
Published in Jan 2015
Publisher Packt
ISBN-13 9781784398194
Length 198 pages
Edition 1st Edition
Languages
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Author (1):
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Massimiliano Pippi Massimiliano Pippi
Author Profile Icon Massimiliano Pippi
Massimiliano Pippi
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Table of Contents (10) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. A More Complex Application 3. Storing and Processing Users' Data 4. Improving Application Performance 5. Storing Data in Google Cloud SQL 6. Using Channels to Implement a Real-time Application 7. Building an Application with Django 8. Exposing a REST API with Google Cloud Endpoints Index

Scheduling tasks with Cron

We have designed the shrink operation as an optional functionality triggered by users, but we could run it at a determined time interval for every user in order to lower the costs of Cloud Storage. App Engine supports the scheduled execution of jobs with the Cron service; every application has a limited number of Cron jobs available, depending on our billing plan. Cron jobs have the same restrictions as tasks in a task queue, so the request can last up to 10 minutes.

We first prepare a request handler that will implement the job:

class ShrinkCronJob(ShrinkHandler):
    def post(self):
        self.abort(405, headers=[('Allow', 'GET')])

    def get(self):
        if 'X-AppEngine-Cron' not in self.request.headers:
            self.error(403)

        notes = Note.query().fetch()
        for note in notes:
            self._shrink_note(note)

We derive the ShrinkCronJob class from the ShrinkHandler class to inherit the _shrink_note() method...

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