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Mastering Flask Web Development

You're reading from   Mastering Flask Web Development Build enterprise-grade, scalable Python web applications

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995405
Length 332 pages
Edition 2nd Edition
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Authors (2):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
Daniel Gaspar Daniel Gaspar
Author Profile Icon Daniel Gaspar
Daniel Gaspar
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Table of Contents (15) Chapters Close

Preface 1. Getting Started 2. Creating Models with SQLAlchemy FREE CHAPTER 3. Creating Views with Templates 4. Creating Controllers with Blueprints 5. Advanced Application Structure 6. Securing Your App 7. Using NoSQL with Flask 8. Building RESTful APIs 9. Creating Asynchronous Tasks with Celery 10. Useful Flask Extensions 11. Building Your Own Extension 12. Testing Flask Apps 13. Deploying Flask Apps 14. Other Books You May Enjoy

Creating tasks in Celery

As stated before, Celery tasks are just user-defined functions that perform some operations. But before any tasks can be written, our Celery object needs to be created. This is the object that the Celery server will import to handle running and scheduling all of the tasks.

At a bare minimum, Celery needs one configuration variable to run, and that is the connection to the message broker. The connection is defined the same as the SQLAlchemy connection; that is, as a URL. The backend, which stores our tasks' results, is also defined as a URL, as shown in the following code:

class DevConfig(Config): 
    DEBUG = True 
    SQLALCHEMY_DATABASE_URI = 'sqlite:///../database.db' 
    CELERY_BROKER_URL = "amqp://rabbitmq:rabbitmq@localhost//" 
    CELERY_RESULT_BACKEND = "amqp://rabbitmq:rabitmq@localhost//" 

In the __init__.py...

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