Pytest

Example of Azure Pipeline yaml file to configure pytest with code coverage and Nexus IQ / SonarQube scanners for Python application.

When we have time-expensive functionality in our fixtures, it is good to know when they are invoked and run. Although this should be intuitive, let’s test on a simple example.

In pytest we can parametrize in three different ways:

• pytest.fixture() - allows to parametrize fixture functions
• @pytest.mark.parametrize - allows to define arguments for a test function or class
• pytest_generate_tests - allows to define custom parametrization schemes

This article presents a few examples of how to use parametrization in pytest using @pytest.mark.parametrize. The article starts from the basic tests, and end with the usage of ids and indirect.