pwaller / Pyprof2calltree
Programming Languages
Overview
Script to help visualize profiling data collected with the cProfile Python module with the kcachegrind_ (screenshots_) graphical calltree analyser.
This is a rebranding of the venerable http://www.gnome.org/~johan/lsprofcalltree.py script by David Allouche et Al. It aims at making it easier to distribute (e.g. through PyPI) and behave more like the scripts of the debian kcachegrind-converters_ package. The final goal is to make it part of the official upstream kdesdk_ package.
.. _kcachegrind: http://kcachegrind.sourceforge.net .. _kcachegrind-converters: https://packages.debian.org/en/stable/kcachegrind-converters .. _kdesdk: http://websvn.kde.org/trunk/KDE/kdesdk/kcachegrind/converters/ .. _screenshots: http://images.google.fr/images?q=kcachegrind
Installation
On Debian ≥ 11, or derivatives such as Ubuntu ≥ 20.04, sudo apt install kcachegrind pyprof2calltree
.
Command line usage
Upon installation you should have a pyprof2calltree
script in your path::
$ pyprof2calltree --help usage: pyprof2calltree [-h] [-o output_file_path] [-i input_file_path] [-k] [-r scriptfile [args ...]]
optional arguments: -h, --help show this help message and exit -o output_file_path, --outfile output_file_path Save calltree stats to -i input_file_path, --infile input_file_path Read Python stats from -k, --kcachegrind Run the kcachegrind tool on the converted data -r scriptfile [args ...], --run-script scriptfile [args ...] Name of the Python script to run to collect profiling data -s {s,ms,us,ns}, --scale {s,ms,us,ns} Time scale
Python shell usage
pyprof2calltree
is also best used from an interactive Python shell such as
the default shell. For instance let us profile XML parsing::
from xml.etree import ElementTree from cProfile import Profile xml_content = '\n' + '\ttext\n' * 100 + '' profiler = Profile() profiler.runctx( ... "ElementTree.fromstring(xml_content)", ... locals(), globals())
from pyprof2calltree import convert, visualize visualize(profiler.getstats()) # run kcachegrind convert(profiler.getstats(), 'profiling_results.kgrind') # save for later
or with the ipython_::
In [1]: %doctest_mode Exception reporting mode: Plain Doctest mode is: ON
from xml.etree import ElementTree xml_content = '\n' + '\ttext\n' * 100 + '' %prun -D out.stats ElementTree.fromstring(xml_content)
*** Profile stats marshalled to file 'out.stats'
from pyprof2calltree import convert, visualize visualize('out.stats') convert('out.stats', 'out.kgrind')
results = %prun -r ElementTree.fromstring(xml_content) visualize(results)
.. _ipython: https://ipython.org/
Change log
- 1.4.4 - 2018-10-19: Numerous small improvements, drop support for EOL python versions
- 1.4.3 - 2017-07-28: Windows support (fixed is_installed check - #21)
- 1.4.2 - 2017-07-19: No feature or bug fixes, just license clarification (#20)
- 1.4.1 - 2017-05-20: No feature or bug fixes, just test distribution (#17)
- 1.4.0 - 2016-09-03: Support multiple functions with the same name, tick unit from millis to nanos, tests added (#15)
- 1.3.2 - 2014-07-05: Bugfix: correct source file paths (#12)
- 1.3.1 - 2013-11-27: Bugfix for broken output writing on Python 3 (#8)
- 1.3.0 - 2013-11-19: qcachegrind support
- 1.2.0 - 2013-11-09: Python 3 support
- 1.1.1 - 2013-09-25: Miscellaneous bugfixes
- 1.1.0 - 2008-12-21: integrate fix in conversion by David Glick
- 1.0.3 - 2008-10-16: fix typos in 1.0 release
- 1.0 - 2008-10-16: initial release under the pyprof2calltree name