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Flask Framework Cookbook

You're reading from   Flask Framework Cookbook Over 80 hands-on recipes to help you create small-to-large web applications using Flask

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783983407
Length 258 pages
Edition 1st Edition
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Author (1):
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Shalabh Aggarwal Shalabh Aggarwal
Author Profile Icon Shalabh Aggarwal
Shalabh Aggarwal
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Toc

Table of Contents (14) Chapters Close

Preface 1. Flask Configurations FREE CHAPTER 2. Templating with Jinja2 3. Data Modeling in Flask 4. Working with Views 5. Webforms with WTForms 6. Authenticating in Flask 7. RESTful API Building 8. Admin Interface for Flask Apps 9. Internationalization and Localization 10. Debugging, Error Handling, and Testing 11. Deployment and Post Deployment 12. Other Tips and Tricks Index

Working with Celery

Celery is a task queue for Python. Earlier, there used to be an extension to integrate Flask and Celery, but with Celery 3.0, it became obsolete. Now, Celery can be directly used with Flask by just using a bit of configuration. In the Understanding asynchronous operations recipe, we implemented asynchronous processing to send an e-mail. In this recipe, we will implement it using Celery.

Getting ready

Celery can be installed simply from PyPI:

$ pip install celery

To make Celery work with Flask, we will need to modify our Flask app config file a bit. Here, we will use Redis as the broker (thanks to its simplicity).

We will use the application from the previous recipe and implement Celery in it.

How to do it…

The first thing that we need to do is a bit of configuration in the application's configuration file, that is, my_app/__init__.py:

from celery import Celery

app.config.update(
    CELERY_BROKER_URL='redis://localhost:6379',
    CELERY_RESULT_BACKEND...
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