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profile.py
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profile.py
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#
# parse the output of "dracut --profile" and produce profiling information
#
# Copyright 2011 Harald Hoyer <[email protected]>
# Copyright 2011 Red Hat, Inc. All rights reserved.
#
# 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 2 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/>.
#
import sys
import operator
import re
loglines = sys.stdin
logpats = r'[+]+[ \t]+([^ \t]+)[ \t]+([^ \t:]+):[ ]+.*'
logpat = re.compile(logpats)
groups = (logpat.match(line) for line in loglines)
tuples = (g.groups() for g in groups if g)
def gen_times(t):
oldx=None
for x in t:
fx=float(x[0])
if oldx:
#print fx - float(oldx[0]), x[0], x[1], oldx[0], oldx[1]
if ((fx - float(oldx[0])) > 0):
yield (fx - float(oldx[0]), oldx[1])
oldx = x
colnames = ('time','line')
log = (dict(zip(colnames,t)) for t in gen_times(tuples))
if __name__ == '__main__':
e={}
for x in log:
if not x['line'] in e:
e[x['line']] = x['time']
else:
e[x['line']] += x['time']
sorted_x = sorted(e.iteritems(), key=operator.itemgetter(1), reverse=True)
for x in sorted_x:
print x[0], x[1]