cpython/Doc/lib/libhotshot.tex

\section{\module{hotshot} ---
         High performance logging profiler}

\declaremodule{standard}{hotshot}
\moduleauthor{Fred L. Drake, Jr.}{fdrake@acm.org}
\sectionauthor{Anthony Baxter}{anthony@interlink.com.au}


\versionadded{2.2}

\modulesynopsis{High performance logging profiler, mostly written in C.}


This module provides a nicer interface to the \code{_hotshot} C module.
Hotshot is a replacement for the existing \refmodule{profile} module. As it's
written mostly in C, it should result in a much smaller performance impact 
than the existing profile module.

\begin{classdesc}{Profile}{logfile, \optional{, lineevents=0, linetimings=1}}

The profiler object. The argument \var{logfile} is the name of a log file
to use for logged profile data. The argument \var{lineevents} specifies whether
to generate events for every source line, or just on function call/return. It
defaults to 0 (only log function call/return). The argument \var{linetimings}
specifies whether to record timing information. It defaults to 1 (store timing
information).

\end{classdesc}

\subsection{Profile Objects \label{hotshot-objects}}

Profile objects have the following methods:

\begin{methoddesc}{addinfo}{key, value}
Add an arbitrary labelled value to the profile output.
\end{methoddesc}

\begin{methoddesc}{close}{}
Close the logfile and terminate the profiler.
\end{methoddesc}
 
%
\begin{methoddesc}{fileno}{}
Return the file descriptor of the profiler's log file.
\end{methoddesc}

\begin{methoddesc}{run}{cmd}
Profile an exec-compatible string in the script environment.

The globals from the \module{__main__} module are used as 
both the globals and locals for the script.
\end{methoddesc}

\begin{methoddesc}{runcall}{func, *args, **keywords}
Profile a single call of a callable.

Additional positional and keyword arguments may be passed
along; the result of the call is returned, and exceptions are
allowed to propogate cleanly, while ensuring that profiling is
disabled on the way out.
\end{methoddesc}


\begin{methoddesc}{runctx}{cmd, globals, locals}
Evaluate an exec-compatible string in a specific environment.

The string is compiled before profiling begins.
\end{methoddesc}

\begin{methoddesc}{start}{}
Start the profiler.
\end{methoddesc}

\begin{methoddesc}{stop}{}
Stop the profiler.
\end{methoddesc}

\subsection{Using hotshot data}
\declaremodule{standard}{hotshot.stats}

\modulesynopsis{Statistical analysis for Hotshot}

\versionadded{2.2}

This module loads hotshot profiling data into the standard \module{pstats} 
Stats objects.

\begin{funcdesc}{load}{filename}
Load hotshot data from \var{filename}. Returns an instance 
of the \class{pstats.Stats} class.
\end{funcdesc}

\begin{seealso}
  \seemodule{profile}{The profile module's \class{Stats} class. }
\end{seealso}

\subsection{Example Usage \label{hotshot-example}}

Note that this example runs the python "benchmark" pystones. It can
take some time to run, and will produce large output files.

\begin{verbatim}

>>> import hotshot, hotshot.stats, test.pystone
>>> prof = hotshot.Profile("stones.prof")
>>> benchtime, stones = prof.runcall(test.pystone.pystones)
>>> prof.close()
>>> stats = hotshot.stats.load("stones.prof")
>>> stats.strip_dirs()
>>> stats.sort_stats('time', 'calls')
>>> stats.print_stats(20)
         850004 function calls in 10.090 CPU seconds

   Ordered by: internal time, call count

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    3.295    3.295   10.090   10.090 pystone.py:79(Proc0)
   150000    1.315    0.000    1.315    0.000 pystone.py:203(Proc7)
    50000    1.313    0.000    1.463    0.000 pystone.py:229(Func2)
 .
 .
 .

\end{verbatim}