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

Mocking


Most real-life projects have various interdependencies between components. While testing one component, the result must not be affected by the behavior of other components. For example, your application might call an external web service that might be unreliable in terms of service availability or slow to respond.

Mock objects imitate such dependencies by having the same interface, but they respond to method calls with canned responses. After using a mock object in a test, you can assert whether a certain method was called and verify that the expected interaction took place.

Take the example of the SuperHero profile eligibility test mentioned in Pattern: Service objects (refer to Chapter 3, Models). We will mock the call to the service object method in a test using the Python 3 unittest.mock library:

# profiles/tests.py 
from django.test import TestCase 
from unittest.mock import patch 
from django.contrib.auth.models import User 
 
class TestSuperHeroCheck(TestCase): 
    def test_checks_superhero_service_obj...