pytest Quick Start Guide

By : Oliveira

3.9 (7)

Buy this Book

pytest Quick Start Guide

3.9 (7)

By: Oliveira

Buy this Book

Overview of this book

Python's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.The pytest framework on the other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python. In this book, you will learn how to get started right away and get the most out of pytest in your daily work?ow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Introducing pytest

Why spend time writing tests?

A quick look at the unittest module

Why pytest?

Summary

Writing and Running Tests

Installing pytest

Writing and running tests

Organizing files and packages

Useful command-line options

Configuration: pytest.ini

Summary

Markers and Parametrization

Mark basics

Built-in marks

Parametrization

Summary

Fixtures

Introducing fixtures

Sharing fixtures with conftest.py files

Scopes

Autouse

Parametrizing fixtures

Using marks from fixtures

An overview of built-in fixtures

Tips/discussion

Summary

Plugins

Finding and installing plugins

An overview of assorted plugins

Honorable mentions

Summary

Converting unittest suites to pytest

Using pytest as a test runner

Converting asserts with unitest2pytest

Handling setup/teardown

Managing test hierarchies

Refactoring test utilities

Migration strategy

Summary

Wrapping Up

Overview of what we have learned

The pytest community

Next steps

Final summary

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Tips/discussion

The following are some short topics and tips that did not fit into the previous sections, but that I think are worth mentioning.

When to use fixtures, as opposed to simple functions

Sometimes, all you need is to construct a simple object for your tests, and arguably this can be done in a plain function, not necessarily needing to be implemented as a fixture. Suppose we have a WindowManager class, that does not receive any parameters:

class WindowManager:
    ...

One way to use it in our tests would be to write a fixture:

@pytest.fixture
def manager():
    return WindowManager()

def test_windows_creation(manager):
    window = manager.new_help_window("pipes_help.rst")
    assert window.title() == &quot...