pytest Quick Start Guide: Write better Python code with simple and maintainable tests
By 作者: Bruno Oliveira
ISBN-10 书号: 1789347564
ISBN-13 书号: 9781789347562
Release Finelybook 出版日期: 2018-08-29
pages 页数: (160 )
Book Description to Finelybook sorting
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 workﬂow, 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.
1: INTRODUCING PYTEST
2: WRITING AND RUNNING TESTS
3: MARKERS AND PARAMETRIZATION
6: CONVERTING UNITTEST SUITES TO PYTEST
7: WRAPPING UP
What You Will Learn
Write and run simple and complex tests
Organize tests in fles and directories
Find out how to be more productive on the command line
Markers and how to skip, xfail and parametrize tests
Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch
Convert unittest suites to pytest using little-known techniques
Use third-party plugins
Bruno Oliveira is a software developer with 18 years experience working at ESSS, developing desktop and web applications for simulation and numerical analysis for several industry sectors including oil and gas, aerospace, automotive, and chemical processes. Having taken part in the development of an internal testing framework to attend to the various needs of the applications he worked with, and having always been interested in testing and software quality, in 2012, Bruno took note of pytest and immediately fell in love with the project. He started contributing whenever he could and has been a pytest core contributor since 2014.