pyprof2calltree 1.0.2

Help visualize profiling data from cProfile with kcachegrind

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:
http://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

Authors
=======

- David Allouche (original author)
- Jp Calderone
- Itamar Shtull-Trauring
- Johan Dahlin
- Olivier Grisel (repackaging and pstats support)


Command line usage
==================

Upon installation you shoould 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 defaulft 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)

.. _ipython: http://ipython.scipy.org


Change log
==========

- 1.0.2 - 2008-10-16: fix typos in 1.0 release
- 1.0 - 2008-10-16: initial release under the pyprof2calltree name