Handling Tests for Different Program Versions with pytest скачать в хорошем качестве

Handling Tests for Different Program Versions with pytest

Discover how to effectively manage and run tests for different versions of your program using `pytest` markers for version control! --- This video is based on the question https://stackoverflow.com/q/73150697/ asked by the user 'H'H' ( https://stackoverflow.com/u/2223978/ ) and on the answer https://stackoverflow.com/a/73152212/ provided by the user 'larsks' ( https://stackoverflow.com/u/147356/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Pytest test working with different versions of program Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Managing Tests Across Different Versions of a Program with pytest When developing software, it's common to find that different versions of your program may not be compatible with all tests. For instance, you might have a test that only works on versions 2, 3, and 4 but fails on version 5 and later. Conversely, another test might only operate correctly on version 4 and beyond. How can you manage this scenario effectively? This guide will guide you on using pytest to accomplish that with custom markers. Understanding the Challenge When running tests, it’s crucial to ensure that each test case is executed in a compatible environment. This means that the version of the program under test must be checked against the requirements set for each test. To handle these conditions with pytest, we can leverage markers to conditionally skip tests based on the program version. Using Custom pytest Markers Let's break down how to create custom markers that dictate when tests should run based on the version of your program. Step 1: Defining Version Markers You can create markers that specify the minimum or maximum version required for a test. The following functions demonstrate how this can be done using the pytest.mark.skipif decorator: [[See Video to Reveal this Text or Code Snippet]] Step 2: Applying the Markers to Tests Once we’ve defined our markers, we can apply them to our test functions. Here’s how you can use these markers to control which tests get executed: [[See Video to Reveal this Text or Code Snippet]] Step 3: Running the Tests When you run the tests with the example function above, you would see output indicating which tests were skipped based on the specified version conditions. For example: [[See Video to Reveal this Text or Code Snippet]] Conclusion Using pytest markers like minversion and maxversion allows you to create flexible test suites that cater to different versions of your program. This leads to more reliable testing and ensures compatibility across various versions. By utilizing these markers, you can effectively manage tests in your projects, avoid unnecessary failures, and streamline your development process. Implement these markers in your testing suite today and take control of your test execution based on version compatibility!