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README.md
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README.md

Pytest Profiling Plugin

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.

Installation

Install using your favourite package installer:

    pip install pytest-profiling

Enable the fixture explicitly in your tests or conftest.py (not required when using setuptools entry points):

    pytest_plugins = ['pytest_profiling']

Usage

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.

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