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Flask Framework Cookbook

You're reading from   Flask Framework Cookbook Enhance your Flask skills with advanced techniques and build dynamic, responsive web applications

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781804611104
Length 318 pages
Edition 3rd 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 (20) Chapters Close

Preface 1. Part 1: Flask Fundamentals
2. Chapter 1: Flask Configurations FREE CHAPTER 3. Chapter 2: Templating with Jinja 4. Chapter 3: Data Modeling in Flask 5. Chapter 4: Working with Views 6. Part 2: Flask Deep Dive
7. Chapter 5: Web Forms with WTForms 8. Chapter 6: Authenticating in Flask 9. Chapter 7: RESTful API Building 10. Chapter 8: Admin Interface for Flask Apps 11. Chapter 9: Internationalization and Localization 12. Part 3: Advanced Flask
13. Chapter 10: Debugging, Error Handling, and Testing 14. Chapter 11: Deployment and Post-Deployment 15. Chapter 12: Microservices and Containers 16. Chapter 13: GPT with Flask 17. Chapter 14: Additional Tips and Tricks 18. Index 19. Other Books You May Enjoy

Working with Celery

Celery is a task queue for Python. 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 email. In this recipe, we will implement the same 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. In order to do its job, Celery needs a broker to receive and deliver tasks. Here, we will use Redis as the broker (thanks to its simplicity).

Information

Make sure that you run the Redis server for the connection to happen. To install and run a Redis server, refer to https://redis.io/docs/getting-started/.

You would also need to install the Redis client in your virtual environment:

$ pip install Redis...

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