Help visualize profiling data from cProfile with kcachegrind and qcachegrind
Project description
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.
Command line usage
Upon installation you should have a pyprof2calltree script in your path:
$ pyprof2calltree --help Usage: /usr/bin/pyprof2calltree [-k] [-o output_file_path] [-i input_file_path] [-r scriptfile [args]] Options: -h, --help show this help message and exit -o OUTFILE, --outfile=OUTFILE Save calltree stats to <outfile> -i INFILE, --infile=INFILE Read python stats from <infile> -r SCRIPT, --run-script=SCRIPT Name of the python script to run to collect profiling data -k, --kcachegrind Run the kcachegrind tool on the converted data
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 = '<a>\n' + '\t<b/><c><d>text</d></c>\n' * 100 + '</a>' >>> 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 = '<a>\n' + '\t<b/><c><d>text</d></c>\n' * 100 + '</a>' >>> %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)
Change log
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
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