bprofile 1.1.1

bprofile Documentation
**********************

*bprofile* is a wrapper around profile/cProfile, gprof2dot and dot,
providing a simple context manager for profiling sections of Python
code and producing visual graphs of profiling results. It works on
Windows and Unix.

**View on PyPI**: http://pypi.python.org/pypi/bprofile

**Get the source from BitBucket**:
http://bitbucket.org/cbillington/bprofile

**Read the docs at readthedocs**: http://bprofile.readthedocs.org


Installation
============

to install *bprofile*, run:

$ pip install bprofile

or to install from source:

$ python setup.py install

Note: *bprofile* requires graphviz to be installed. *bprofile* looks
for it in "C:\Program Files" and "C:\Program Files (x86)" on
Windows, and in the PATH on unix.


Introduction
============

Every time I need to profile some Python code I go through the same
steps: looking up profile/cProfile's docs, and then reading about
gprof2dot and graphviz. And then it turns out the code I want to
profile is a GUI callback or something, and I don't want to profile
the whole program because it spends most of its time doing nothing.

profile/cProfile certainly has this functionality, which I took one
look at, and thought: *This should be a context manager, and when it
exits, it should call gprof2dot and graphviz automatically so I don't
have to remember their command line arguments, and so I don't
accidentally print a .png to standard output and have to listen to all
the ASCII beep characters.*

"BProfile" provides this functionality.


Example usage
=============

# example.py

import os
import time
import pylab as pl
from bprofile import BProfile

def do_some_stuff():
for i in range(100):
time.sleep(.01)

def do_some_stuff_that_wont_be_profiled():
os.system('ping -c 5 google.com')

def do_some_more_stuff(n):
x = pl.rand(100000)
for i in range(100):
time.sleep(.01)
x = pl.fft(x)


profiler = BProfile('example.png')

with profiler:
do_some_stuff()

do_some_stuff_that_wont_be_profiled()

with profiler:
do_some_more_stuff(5)

The above outputs the following image "example.png" in the current
working directory:

[image]

see "BProfile" for more information on usage.


Class reference
===============

class class bprofile.BProfile(output_path, threshold_percent=2.5, report_interval=5)

A profiling context manager.

A context manager that after it exits, outputs a .png file of a
graph made via profile/cProfile, gprof2dot and graphviz. The
context manager can be used multiple times, and if used repeatedly,
regularly updates its output to include cumulative results.

Parameters:
* **output_path** (*str*) -- The name of the .png report file
you would like to output. '.png' will be appended if not
present.

* **threshold_percent** (*int or float*) -- Nodes in which
execution spends less than this percentage of the total
profiled execution time will not be included in the output.

* **report_interval** (*int or float*) -- The minimum time, in
seconds, in between output file generation. If the context
manager exits and it has not been at least this long since the
last output was generated, output generation will be delayed
until it has been. More profiling can run in the meantime.
This is to decrease overhead on your program, (even though
this overhead will only be incurred when no code is being
profiled), while allowing you to have ongoing results of the
profiling while your code is still running. If you only use
the context manager once, then this argument has no effect. If
you set it to zero, output will be produced after every exit
of the context.

-[ Notes ]-

The profiler will return immediately after the context manager, and
will generate its .png report in a separate thread. If the same
context manager is used multiple times output will be generated at
most every "report_interval" seconds (default: 5). The delay is to
allow blocks to execute many times in between reports, rather than
slowing your program down with generating graphs all the time. This
means that if your profile block is running rapidly and repeatedly,
a new report will be produced every "report_interval" seconds.

Pending reports will be generated at interpreter shutdown.

Note that even if "report_interval" is short, reporting will not
interfere with the profiling results themselves, as a lock is
acquired that will prevent profiled code from running at the same
time as the report generation code. So the overhead produced by
report generation does not affect the results of profiling - this
overhead will only affect portions of your code that are not being
profiled.

The lock is shared between instances, and so you can freely
instantiate many Profile objects to profile different parts of your
code. Instances with the same output file name will share an
underlying profile/cProfile profiler, and so their reports will be
combined. Profile objects are thread safe, however, so a single
instance can be shared as well anywhere in your program.

Warning: Since only one profiler can be running at a time, two
profiled pieces of code waiting on each other in any way will
deadlock.

do_report()

Collect statistics and output a .png file of the profiling
report.

-[ Notes ]-

This occurs automatically at a rate of report_interval, but one
can call this method to report results sooner. The report will
include results from all BProfile instances that have the same
output filepath, and no more automatic reports (if further
profiling is done) will be produced until after the minimum
delay_interval of those instances.

This method can be called at any time and is threadsafe, but it
will acquire the class lock and so will block until any
profiling in other threads is complete. The lock is re-entrant,
so this method can be called during profiling in the current
thread. This is not advisable however, as the overhead incorred
will skew profiling results.