Profiling plugin for pytest, with tabular and heat graph output.
Tests are profiled with cProfile and analysed with pstats; heat graphs are generated using gprof2dot and dot.
Install using your favourite package installer:
pip install pytest-profiling
# or
easy_install pytest-profiling
Enable the fixture explicitly in your tests or conftest.py (not required when using setuptools entry points):
pytest_plugins = ['pytest_profiling']
Once installed, the plugin provides extra options to pytest:
$ py.test --help
...
Profiling:
--profile generate profiling information
--profile-svg generate profiling graph (using gprof2dot and dot
-Tsvg)
The --profile
and profile-svg
options can be combined with any other option:
$ py.test tests/unit/test_logging.py --profile
============================= test session starts ==============================
platform linux2 -- Python 2.6.2 -- pytest-2.2.3
collected 3 items
tests/unit/test_logging.py ...
Profiling (from prof/combined.prof):
Fri Oct 26 11:05:00 2012 prof/combined.prof
289 function calls (278 primitive calls) in 0.001 CPU seconds
Ordered by: cumulative time
List reduced from 61 to 20 due to restriction <20>
ncalls tottime percall cumtime percall filename:lineno(function)
3 0.000 0.000 0.001 0.000 <string>:1(<module>)
6/3 0.000 0.000 0.001 0.000 core.py:344(execute)
3 0.000 0.000 0.001 0.000 python.py:63(pytest_pyfunc_call)
1 0.000 0.000 0.001 0.001 test_logging.py:34(test_flushing)
1 0.000 0.000 0.000 0.000 _startup.py:23(_flush)
2 0.000 0.000 0.000 0.000 mock.py:979(__call__)
2 0.000 0.000 0.000 0.000 mock.py:986(_mock_call)
4 0.000 0.000 0.000 0.000 mock.py:923(_get_child_mock)
6 0.000 0.000 0.000 0.000 mock.py:512(__new__)
2 0.000 0.000 0.000 0.000 mock.py:601(__get_return_value)
4 0.000 0.000 0.000 0.000 mock.py:695(__getattr__)
6 0.000 0.000 0.000 0.000 mock.py:961(__init__)
22/14 0.000 0.000 0.000 0.000 mock.py:794(__setattr__)
6 0.000 0.000 0.000 0.000 core.py:356(getkwargs)
6 0.000 0.000 0.000 0.000 mock.py:521(__init__)
3 0.000 0.000 0.000 0.000 skipping.py:122(pytest_pyfunc_call)
6 0.000 0.000 0.000 0.000 core.py:366(varnames)
3 0.000 0.000 0.000 0.000 skipping.py:125(check_xfail_no_run)
2 0.000 0.000 0.000 0.000 mock.py:866(assert_called_once_with)
6 0.000 0.000 0.000 0.000 mock.py:645(__set_side_effect)
=========================== 3 passed in 0.13 seconds ===========================
pstats
files (one per test item) are retained for later analysis in prof
directory, along with a combined.prof
file:
$ ls -1 prof/
combined.prof
test_app.prof
test_flushing.prof
test_import.prof
By default the pstats
files are named after their corresponding test name, with illegal filesystem characters replaced by underscores.
If the full path is longer that operating system allows then it will be renamed to first 4 bytes of an md5 hash of the test name:
$ ls -1 prof/
combined.prof
test_not_longer_than_max_allowed.prof
68b329da.prof
If the --profile-svg
option is given, along with the prof files and tabular output a svg file will be generated:
$ py.test tests/unit/test_logging.py --profile-svg
...
SVG profile in prof/combined.svg.
This is best viewed with a good svg viewer e.g. Chrome.