Book Image

Crafting Test-Driven Software with Python

By : Alessandro Molina
Book Image

Crafting Test-Driven Software with Python

By: Alessandro Molina

Overview of this book

Test-driven development (TDD) is a set of best practices that helps developers to build more scalable software and is used to increase the robustness of software by using automatic tests. This book shows you how to apply TDD practices effectively in Python projects. You’ll begin by learning about built-in unit tests and Mocks before covering rich frameworks like PyTest and web-based libraries such as WebTest and Robot Framework, discovering how Python allows you to embrace all modern testing practices with ease. Moving on, you’ll find out how to design tests and balance them with new feature development and learn how to create a complete test suite with PyTest. The book helps you adopt a hands-on approach to implementing TDD and associated methodologies that will have you up and running and make you more productive in no time. With the help of step-by-step explanations of essential concepts and practical examples, you’ll explore automatic tests and TDD best practices and get to grips with the methodologies and tools available in Python for creating effective and robust applications. By the end of this Python book, you will be able to write reliable test suites in Python to ensure the long-term resilience of your application using the range of libraries offered by Python for testing and development.
Table of Contents (18 chapters)
1
Section 1: Software Testing and Test-Driven Development
6
Section 2: PyTest for Python Testing
13
Section 3: Testing for the Web
16
About Packt
Test Doubles with a Chat Application

We have seen how a test suite, to be reasonably reliable, should include various kinds of tests that cover components at various levels. Usually, tests, in regard to how many components they involve, are categorized into at least three kinds: unit, integration, and end-to-end.

Test doubles ease the implementation of tests by breaking dependencies between components and allowing us to simulate the behaviors we want.

In this chapter, we will look at the most common kinds of test doubles, what their goals are, and how to use them in real code. By the end of this chapter, we will have covered how to use all those test doubles and you will be able to leverage them for your own Python projects.

By adding test doubles to your toolchain, you will be able to write faster tests, decouple the components you want to test from the rest of the system, simulate...