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

Using pytest-cov for coverage reporting

We have already seen in Chapter 1, Getting Started with Software Testing, how code coverage by tests is a good measure for establishing how confident you can be in your test suite. A test suite that only runs 10% of all our code is probably not going to be very reliable in finding problems, as most of the code will go unchecked. A test suite that instead verifies 100% of our code is certainly going to exercise every single line of code we wrote and so should trigger bugs more easily if there are any.

Obviously, coverage cannot verify code that you never wrote, so it's not going to detect that you have a bug because you forgot to add an if check in your method, but at least it tells you if you forgot to write a test for that method.

Normally, test coverage in Python is done using the coverage module, which can be installed from PyPI, but PyTest has a convenient pytest-cov plugin that is going to do that for us and make our life simpler when...