Bust functools.lru_cache when running pytest to avoid test pollution
Caching expensive function calls with
functools.lru_cache is simple and great performance optimization.
It works so well that it'll even speed up your unit test runs!
Too bad it violated test isolation and caches the wrong values under test conditions, introducing test pollution
(persisted state between test runs).
This package will bust the
lru_cache between test runs, avoiding test pollution and helping you keep your sanity.
Imagine you mock a network call out and your application ends up caching these mocked results:
def expensive_network_call() -> int: # Pretend this is an expensive network call. # You want to cache this for performance but you want to run tests with different responses as well. return 1 @lru_cache() def cache_me() -> int: return expensive_network_call()
Now you have test pollution:
def test_a_run_first() -> None: assert cache_me() == 1 def test_b_run_second() -> None: # We want to mock the network call for this test case with mock.patch.object(sys.modules[__name__], 'expensive_network_call', return_value=2) as mock_network_call: assert cache_me() == 2 assert mock_network_call.called
On your next test run, it doesn't matter what you mock, the results are already cached. Now trying running those two test out-of-order sequence and tell me how it goes.
Since this is a
pytest plugin, you need to be using
pytest to run your tests.
This project is python 2.7 and python 3.5, 3.6, 3.7 compatible.
Simply install this in the same python environment that
pytest uses and the rest is magic.
pip install pytest-antilru
How to test the software
Credits and references
This project was a re-engineering of a similar project a colleague of mine wrote. That project was not intended to be open-source and rather than go though all the hoops and hurdles to sanitize it, I've written it from the ground up such that it's kosher to open-source (given that it's such as small project).
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