Book Image

Django Design Patterns and Best Practices - Second Edition

By : Arun Ravindran
Book Image

Django Design Patterns and Best Practices - Second Edition

By: Arun Ravindran

Overview of this book

Building secure and maintainable web applications requires comprehensive knowledge. The second edition of this book not only sheds light on Django, but also encapsulates years of experience in the form of design patterns and best practices. Rather than sticking to GoF design patterns, the book looks at higher-level patterns. Using the latest version of Django and Python, you’ll learn about Channels and asyncio while building a solid conceptual background. The book compares design choices to help you make everyday decisions faster in a rapidly changing environment. You’ll first learn about various architectural patterns, many of which are used to build Django. You’ll start with building a fun superhero project by gathering the requirements, creating mockups, and setting up the project. Through project-guided examples, you’ll explore the Model, View, templates, workflows, and code reusability techniques. In addition to this, you’ll learn practical Python coding techniques in Django that’ll enable you to tackle problems related to complex topics such as legacy coding, data modeling, and code reusability. You’ll discover API design principles and best practices, and understand the need for asynchronous workflows. During this journey, you’ll study popular Python code testing techniques in Django, various web security threats and their countermeasures, and the monitoring and performance of your application.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
PacktPub.com
Contributors
Preface
Index

Pattern – Test fixtures and factories


ProblemTesting a component requires the creation of various prerequisite objects before the test. Creating them explicitly in each test method gets repetitive.

Solution: Utilize factories or fixtures to create the test data objects.

Problem details

Before running each test, Django resets the database to its initial state, as it would be after running migrations. Most tests will need the creation of some initial objects to set the state. Rather than creating different initial objects for different scenarios, a common set of initial objects are usually created.

This can quickly get unmanageable in a large test suite. The sheer variety of such initial objects can be hard to read and later understand. This leads to hard-to-find bugs in the test data itself.

Being such a common problem, there are several means to reduce the clutter and write clearer test cases.

Solution details

The first solution we will take a look at is what is given in the Django documentation...