Source code for eWRT.util.profile

#!/usr/bin/env python

''' @package eWRT.util.profile
    google like profiling :)

    @warning
    this library is still a draft and might change considerable
'''

# (C)opyrights 2008-2015 by Albert Weichselbraun <albert@weichselbraun.net>
# 
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# 
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

__author__ = "Albert Weichselbraun"
__copyright__ = "GPL"

import __main__
import cProfile, pstats
try:
    from StringIO import StringIO
except ImportError:
    from io import StringIO


[docs]def profile(fn, logfile='profile.awi'): ''' profile function ''' prof = cProfile.Profile() is_unittest = __main__.__file__.endswith('nosetests') or \ __main__.__file__.endswith('py.test') or \ __main__.__file__.endswith('py.test-3') if is_unittest: prof = prof.runctx("{}()".format(fn.__name__), globals(), locals()) else: prof = prof.runctx("{}()".format(fn.__name__), __main__.__dict__, __main__.__dict__) stream = StringIO() stats = pstats.Stats(prof, stream=stream) stats.sort_stats('time') # Or cumulative stats.print_stats(80) # 80 = how many to print # The rest is optional. stats.print_callees() stats.print_callers() open(logfile, 'w').write(stream.getvalue())
# ---------------------------------------------------------------------------- # unit testing # ----------------------------------------------------------------------------
[docs]def profileFunction(): ''' function to profile ''' for a in range(1000): for b in range(1000): c = a * b return c
[docs]def testProfile(): ''' test the profiling ''' profile(profileFunction)