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detect-test-pollution
Advanced tools
a tool to detect test pollution
pip install detect-test-pollution
test pollution is where a test fails due to the side-effects of some other test in the test suite.
it usually appears as a "test flake" something where the test fails mysteriously but passes when run by itself.
a simple example of this is the following python code:
k = 1
def test_k():
assert k == 1
def test_k2():
global k
k = 2
assert k == 2
now this example is a little bit silly, you probably wouldn't write code this poorly but helps us demonstrate the problem here.
when run normally -- these tests pass:
$ pytest -q t.py
.. [100%]
2 passed in 0.00s
but, if the tests were run in some other order (due to something like pytest-randomly or pytest-xdist) then the pollution would be apparent:
$ pytest -q t.py::test_k2 t.py::test_k
.F [100%]
=================================== FAILURES ===================================
____________________________________ test_k ____________________________________
def test_k():
> assert k == 1
E assert 2 == 1
t.py:4: AssertionError
=========================== short test summary info ============================
FAILED t.py::test_k - assert 2 == 1
1 failed, 1 passed in 0.03s
often this flake happens in a codebase with hundreds or thousands of tests and it's difficult to track down which test is causing the global side-effects.
that's where this tool comes in handy! it helps you find the pair of tests which error when run in order.
once you have identified a failing test, you'll be able to feed it into
detect-test-pollution
to find the causal test.
the basic mode is to run:
detect-test-pollution \
--failing-test test.py::test_id_here \
--tests ./tests
where test.py::test_id_here
is the identifier of the failing test and
./tests
is the directory where your testsuite lives.
if you've already narrowed down the list of testids further than that, you
can specify a --testids-file
instead of --tests
to speed up discovery:
detect-test-pollution \
--failing-test test.py::test_id_here \
--testids-file ./testids
you can usually get a list of testids via pytest --collect-only -q
(though
you'll need to strip some unrelated lines at the end, such as timing and
warning info).
then detect-test-pollution
will bisect the list of tests to find the failing
one. here's an example bisection from a bug in pytest
$ detect-test-pollution --tests ./testing --failing-test testing/io/test_terminalwriter.py::test_should_do_markup_FORCE_COLOR
discovering all tests...
-> discovered 3140 tests!
ensuring test passes by itself...
-> OK!
ensuring test fails with test group...
-> OK!
running step 1:
- 3139 tests remaining (about 12 steps)
running step 2:
- 1570 tests remaining (about 11 steps)
running step 3:
- 785 tests remaining (about 10 steps)
running step 4:
- 393 tests remaining (about 9 steps)
running step 5:
- 197 tests remaining (about 8 steps)
running step 6:
- 99 tests remaining (about 7 steps)
running step 7:
- 50 tests remaining (about 6 steps)
running step 8:
- 25 tests remaining (about 5 steps)
running step 9:
- 12 tests remaining (about 4 steps)
running step 10:
- 6 tests remaining (about 3 steps)
running step 11:
- 3 tests remaining (about 2 steps)
double checking we found it...
-> the polluting test is: testing/test_terminal.py::TestTerminal::test_report_teststatus_explicit_markup
detect-test-pollution
can also be used to "fuzz" out failing tests.
it does this by shuffling the test ids and running the testsuite until it fails.
here's an example execution on a silly testsuite:
$ detect-test-pollution --fuzz --tests t.py
discovering all tests...
-> discovered 1002 tests!
run 1...
-> OK!
run 2...
-> found failing test!
try `detect-test-pollution --failing-test t.py::test_k --tests t.py`!
afterwards you can use the normal mode of detect-test-pollution
to find the
failing pair.
at the moment only pytest
is supported -- though in theory the tool could
be adapted to support other python test runners, or even other languages.
FAQs
a tool to detect test pollution
We found that detect-test-pollution demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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