#! /usr/bin/python2.7

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"""Python interface for the 'lsprof' profiler.

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Compatible with the 'profile' module.

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"""

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__all__ = ["run", "runctx", "help", "Profile"]

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import _lsprof

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# ____________________________________________________________

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# Simple interface

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def run(statement, filename=None, sort=-1):

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"""Run statement under profiler optionally saving results in filename

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This function takes a single argument that can be passed to the

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"exec" statement, and an optional file name. In all cases this

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routine attempts to "exec" its first argument and gather profiling

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statistics from the execution. If no file name is present, then this

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function automatically prints a simple profiling report, sorted by the

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standard name string (file/line/function-name) that is presented in

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each line.

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"""

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prof = Profile()

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result = None

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try:

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try:

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prof = prof.run(statement)

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except SystemExit:

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pass

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finally:

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if filename is not None:

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prof.dump_stats(filename)

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else:

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result = prof.print_stats(sort)

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return result

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def runctx(statement, globals, locals, filename=None, sort=-1):

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"""Run statement under profiler, supplying your own globals and locals,

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optionally saving results in filename.

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statement and filename have the same semantics as profile.run

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"""

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prof = Profile()

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result = None

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try:

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try:

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prof = prof.runctx(statement, globals, locals)

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except SystemExit:

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pass

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finally:

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if filename is not None:

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prof.dump_stats(filename)

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else:

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result = prof.print_stats(sort)

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return result

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# Backwards compatibility.

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def help():

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print "Documentation for the profile/cProfile modules can be found "

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print "in the Python Library Reference, section 'The Python Profiler'."

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# ____________________________________________________________

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class Profile(_lsprof.Profiler):

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"""Profile(timer=None, timeunit=None, subcalls=True, builtins=True)

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Builds a profiler object using the specified timer function.

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The default timer is a fast built-in one based on real time.

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For custom timer functions returning integers, timeunit can

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be a float specifying a scale (i.e. how long each integer unit

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is, in seconds).

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"""

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# Most of the functionality is in the base class.

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# This subclass only adds convenient and backward-compatible methods.

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def print_stats(self, sort=-1):

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import pstats

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pstats.Stats(self).strip_dirs().sort_stats(sort).print_stats()

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def dump_stats(self, file):

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import marshal

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f = open(file, 'wb')

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self.create_stats()

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marshal.dump(self.stats, f)

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f.close()

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def create_stats(self):

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self.disable()

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self.snapshot_stats()

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def snapshot_stats(self):

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entries = self.getstats()

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self.stats = {}

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callersdicts = {}

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# call information

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for entry in entries:

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func = label(entry.code)

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nc = entry.callcount # ncalls column of pstats (before '/')

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cc = nc - entry.reccallcount # ncalls column of pstats (after '/')

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tt = entry.inlinetime # tottime column of pstats

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ct = entry.totaltime # cumtime column of pstats

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callers = {}

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callersdicts[id(entry.code)] = callers

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self.stats[func] = cc, nc, tt, ct, callers

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# subcall information

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for entry in entries:

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if entry.calls:

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func = label(entry.code)

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for subentry in entry.calls:

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try:

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callers = callersdicts[id(subentry.code)]

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except KeyError:

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continue

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nc = subentry.callcount

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cc = nc - subentry.reccallcount

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tt = subentry.inlinetime

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ct = subentry.totaltime

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if func in callers:

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prev = callers[func]

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nc += prev[0]

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cc += prev[1]

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tt += prev[2]

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ct += prev[3]

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callers[func] = nc, cc, tt, ct

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# The following two methods can be called by clients to use

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# a profiler to profile a statement, given as a string.

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def run(self, cmd):

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import __main__

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dict = __main__.__dict__

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return self.runctx(cmd, dict, dict)

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def runctx(self, cmd, globals, locals):

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self.enable()

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try:

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exec cmd in globals, locals

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finally:

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self.disable()

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return self

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# This method is more useful to profile a single function call.

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def runcall(self, func, *args, **kw):

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self.enable()

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try:

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return func(*args, **kw)

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finally:

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self.disable()

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# ____________________________________________________________

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def label(code):

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if isinstance(code, str):

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return ('~', 0, code) # built-in functions ('~' sorts at the end)

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else:

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return (code.co_filename, code.co_firstlineno, code.co_name)

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# ____________________________________________________________

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def main():

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import os, sys, pstats

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from optparse import OptionParser

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usage = "cProfile.py [-o output_file_path] [-s sort] scriptfile [arg] ..."

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parser = OptionParser(usage=usage)

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parser.allow_interspersed_args = False

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parser.add_option('-o', '--outfile', dest="outfile",

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help="Save stats to <outfile>", default=None)

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parser.add_option('-s', '--sort', dest="sort",

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help="Sort order when printing to stdout, based on pstats.Stats class",

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default=-1,

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choices=sorted(pstats.Stats.sort_arg_dict_default))

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if not sys.argv[1:]:

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parser.print_usage()

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sys.exit(2)

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(options, args) = parser.parse_args()

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sys.argv[:] = args

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if len(args) > 0:

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progname = args[0]

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sys.path.insert(0, os.path.dirname(progname))

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with open(progname, 'rb') as fp:

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code = compile(fp.read(), progname, 'exec')

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globs = {

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'__file__': progname,

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'__name__': '__main__',

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'__package__': None,

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}

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runctx(code, globs, None, options.outfile, options.sort)

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else:

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parser.print_usage()

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return parser

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# When invoked as main program, invoke the profiler on a script

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if __name__ == '__main__':

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main()

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