Book Image

Flask Framework Cookbook - Third Edition

By : Shalabh Aggarwal
4.3 (4)
Book Image

Flask Framework Cookbook - Third Edition

4.3 (4)
By: Shalabh Aggarwal

Overview of this book

Discover what makes Flask, the lightweight Python web framework, popular, as you delve into its modular design that enables the development of scalable web apps. With this practical guide, you'll explore modern solutions, recommended design patterns, and best practices for Flask web development. Updated to the latest version of Flask and Python, this third edition of the Flask Framework Cookbook moves away from the outdated libraries, updates content to incorporate new coding patterns, and introduces recipes for the latest tools. You'll explore different ways to integrate with GPT to build AI-ready Flask applications. The book starts with an exploration of Flask application configurations and then guides you through working with templates and understanding the ORM and view layers. You’ll also be able to write an admin interface and get to grips with testing using the factory pattern, debugging, and logging errors. Then you’ll discover different ways of using Flask to create, deploy, and manage microservices using AWS, GCP, and Kubernetes. Finally, you’ll gain insights into various deployment and post-deployment techniques for platforms such as Apache, Tornado, and Datadog. By the end of this book, you'll have acquired the knowledge necessary to write Flask applications that cater to a wide range of use cases in the best possible way and scale them using standard industry practices.
Table of Contents (20 chapters)
1
Part 1: Flask Fundamentals
6
Part 2: Flask Deep Dive
12
Part 3: Advanced Flask

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...