1/2/2024 0 Comments Figleaf pythonNow, if you install figleaf and then run testExample.py through figleaf and generate the HTML report (see this page for instructions), you can see not only what percentage of the code has been tested, but also every line of code that wasn't tested by the unit tests. If you download those three files into the same directory, and run testExample.py, you should see the test passes. A tutorial on general unit testing is beyond the scope of this page, but a template example on how to unit test a wxPython application can be found here:Ībstractmodel.py, a dependency of the above file Thanks to the dynamic nature of Python, it's not only easy to add unit tests to your code, but you can even use a utility called figleaf to let you know which code paths are, and are not, covered by your unit tests. (Which, of course, is the fun stuff!) You probably will also be less concerned about refactoring and improving code when you know that mistakes will be caught. Thus you spend less and less time tracking down regressions in old code, and more and more time working on new code. As these conditions grow, so do your unit tests, meaning that there are less and less untested conditions you need to worry about. It's true you often can't write tests against all possible valid and invalid input data, but when you do get a bug reported, you can then write a unit test against the particular condition that caused the bug, and from that point, you can ensure you'll never have a release that fails under that condition again. Nearly every function has bugs, and this way, once you fix a bug, you write a test so that if the bug ever reappears, you know immediately, and can fix it before it gets into users' hands. However, perhaps the most important benefit of unit tests is not that it ensures that your code works - it's that it ensures that it stays working, that is, that a future change doesn't cause a regression. The perceived benefit is that you could test a large number of possible inputs, but in many cases, even with unit tests you can't do that, so why bother if the bug you're trying to avoid will show up anyway? Since most people do run tests on their functions, they see unit tests as almost redundant - that is to say, "why go through all this work writing unit tests when I'll know immediately when the function breaks?". Many people new to unit testing think it's a tool for making sure a function or method works as expected, which is only half the story. Why Unit Test? (For those not yet convinced.!) This is very useful for testing non-GUI portions of your wxPython program, e.g. This facility is often referred to as PyUnit. Of course you can unit test apps built with wxPython! To start with, Python provides a unittest module for unit testing.
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