问题
I have identified some long running pytest tests with
py.test --durations=10
I would like to instrument one of those tests now with something like line_profiler or cprofile. I really want to get the profile data from the test itself as the pytest setup or tear down could well be part of what is slow.
However given how line_profiler or cprofile is typically involved it isn't clear to me how to make them work with pytest.
回答1:
Run pytest like this:
python -m cProfile -o profile $(which py.test)
You can even pass in optional arguments:
python -m cProfile -o profile $(which py.test) \
tests/worker/test_tasks.py -s campaigns
This will create a binary file called profile
in your current directory. This can be analyzed with pstats:
import pstats
p = pstats.Stats('profile')
p.strip_dirs()
p.sort_stats('cumtime')
p.print_stats(50)
This will print the 50 lines with the longest cumulative duration.
回答2:
To get cProfile
and line_profiler
to work with py.test
code, I did two things:
Extended the py.test test code with a call to pytest.main(), which made it executable with the python interpreter as the main driver:
# pytest_test.py: @profile # for line_profiler only def test_example(): x = 3**32 assert x == 1853020188851841 # for profiling with cProfile and line_profiler import pytest pytest.main(__file__)
Now you can run this test without
py.test
as the main driver using other tools:$ kernprof.py -l pytest_test.py $ python -m line_profiler pytest_test.py.lprof
or
$ python -m cProfile pytest_test.py
To profile py.test-specific functions such as
pytest_funcarg*()
withline_profiler
I split them in two to avoid confusion betweenpy.test
andline_profiler
:def pytest_funcarg__foo(request): return foo(request) @profile def foo(request): ...
The same method works for memory_profiler.
回答3:
Have you tried the pytest-profiling plugin?
来源:https://stackoverflow.com/questions/18830232/can-i-run-line-profiler-over-a-pytest-test