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to the latest version of Flask and Python, this third edition of the Flask Framework Cookbook moves away from the outdated libraries, updates content to incorporate new coding patterns, and introduces recipes for the latest tools.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

Configuring using class-based settings

An effective way of laying out configurations for different deployment modes, such as production, testing, staging, and so on, can be cleanly done using the inheritance pattern of classes. As your project gets bigger, you can have different deployment modes, and each mode can have several different configuration settings or some settings that will remain the same. In this recipe, we will learn how to use class-based settings to achieve such a pattern.

How to do it...

We can have a base class with default settings; then, other classes can simply inherit from the base class and override or add deployment-specific configuration variables to it, as shown in the following example:

class BaseConfig(object):
    'Base config class'
    SECRET_KEY = 'A random secret key'
    DEBUG = True
    TESTING = False
    NEW_CONFIG_VARIABLE = 'my value'
class ProductionConfig(BaseConfig):
    'Production specific config'
    DEBUG = False
    SECRET_KEY = open('/path/to/secret/file').read()
class StagingConfig(BaseConfig):
    'Staging specific config'
    DEBUG = True
class DevelopmentConfig(BaseConfig):
    'Development environment specific config'
    DEBUG = True
    TESTING = True
    SECRET_KEY = 'Another random secret key'

Important information

In a production configuration, the secret key is generally stored in a separate file because, for security reasons, it should not be a part of your version control system. This should be kept in the local filesystem on the machine itself, whether it is your machine or a server.

How it works...

Now, we can use any of the preceding classes while loading the application’s configuration via from_object(). Let’s say that we save the preceding class-based configuration in a file named configuration.py, as follows:

app.config.from_object('configuration.DevelopmentConfig')

Overall, this makes managing configurations for different deployment environments more flexible and easier.