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
Introduction to PyTest

In the previous chapters, we saw how to approach test-driven development, how to create a test suite with the unittest module, and how to organize it as it grows. While unittest is a very good tool and is a reliable solution for most projects, it lacks some convenient features that are available in more advanced testing frameworks.

PyTest is currently the most widespread testing framework in the Python community, and it's mostly compatible with unittest. So it's easy to migrate from unittest to pytest if you feel the need for the convenience that pytest provides.

In this chapter, we will cover the following topics:

  • Running tests with PyTest
  • Writing PyTest fixtures
  • Managing temporary data with tmp_path
  • Testing I/O with capsys
  • Running subsets of the test suite