Test discovery failure when tests in different directories are called the same

Question

Using py.test, two tests called the same in different directory causes py.test to fail. Why is that? How can I change this without renaming all the tests?

To duplica

Answer 1

I had the same error, but the solution had nothing to do with the init files nor the name on the test files. I had different python versions on my macbook and on my Docker container. I launched the tests once in the bash from the macbook at the root of the project, instead of the bash of the container.

The solution was to remove the wrongly created files by running (from the bash of the container):

find -name '*.pyc' -delete
find -name __pycache__ -delete

Then launch the test again (still from the bash of the container) and everything worked just fine:

py.test

Answer 2

You can add the following environment variable to your bash init file or somewhere else in your development stack to avoid these folders/files being generated in the first place

export PYTHONDONTWRITEBYTECODE=1

Answer 3

Putting an __init__.py is one way of resolving the conflict. Unlike nose, current pytest does not try to unload test modules in order to import test modules with the same import name. I used to think it's a bit magic to do this auto-unimporting and might mess up people's expectation from what the import mechanism does; sometimes people rely on the global state of a test module and with auto-unloading you lose it (a test module importing from another test module might then do unexpected things). But maybe it's not a practical issue and thus pytest could add a similar hack ...

Answer 4

This is an actual feature of py.test. You can find the reason for this behavior stated in pytest.org - Good Integration Practices - Choosing a test layout / import rules:

• avoid __init__.py files in your test directories. This way your tests can run easily against an installed version of mypkg, independently from if the installed package contains the tests or not.

As that's the recommended workflow of working with py.test: install the package under development with pip install -e, then test it.

Because of this, I myself opt for unique test names, in the convention over configuration manner. It also ensures that you don't get ambiguous test names in the various test run output.

If you need to keep the test names and don't care about the above mentioned functionality, you should be ok with putting an __init__.py.