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print profile stats as percentages, makes profile CPU-independent
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61d0f91617
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732b4f0067
@ -9,6 +9,61 @@ import pstats
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from StringIO import StringIO
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import marshal
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class PercentStats(pstats.Stats):
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# prints more useful output when sampled durations are shorter than a millisecond
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# lots of this is copied from Python's pstats.py
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def print_stats(self, *amount):
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for filename in self.files:
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print filename
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if self.files: print
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indent = ' ' * 8
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for func in self.top_level:
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print indent, func_get_function_name(func)
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print indent, self.total_calls, "function calls",
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if self.total_calls != self.prim_calls:
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print "(%d primitive calls)" % self.prim_calls,
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# DCR
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#print "in %.3f CPU seconds" % self.total_tt
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print "in %s CPU milliseconds" % (self.total_tt * 1000.)
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print
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width, list = self.get_print_list(amount)
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if list:
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self.print_title()
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for func in list:
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self.print_line(func)
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print
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print
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return self
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@staticmethod
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def f8(x):
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return "%7.2f%%" % (x*100.)
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@staticmethod
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def func_std_string(func_name): # match what old profile produced
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return "%s:%d(%s)" % func_name
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def print_line(self, func):
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cc, nc, tt, ct, callers = self.stats[func]
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c = str(nc)
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d = self.total_tt
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f8 = PercentStats.f8
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if nc != cc:
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c = c + '/' + str(cc)
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print c.rjust(9),
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print f8(tt/d),
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if nc == 0:
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print ' '*8,
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else:
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print f8((tt/nc)/d),
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print f8(ct/d),
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if cc == 0:
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print ' '*8,
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else:
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print f8((ct/cc)/d),
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print PercentStats.func_std_string(func)
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class ProfileSession:
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# class that encapsulates a profile of a single callable using Python's standard
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# 'profile' module
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@ -161,7 +216,7 @@ class ProfileSession:
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if self._stats is None:
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for filename in self._filenames:
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self._restoreRamFile(filename)
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self._stats = pstats.Stats(*self._filenames)
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self._stats = PercentStats(*self._filenames)
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self._statFileCounter = len(self._filenames)
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for filename in self._filenames:
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self._discardRamFile(filename)
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@ -34,23 +34,21 @@ class TaskTracker:
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def _checkSpike(self, session):
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duration = session.getDuration()
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isSpike = False
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# was it long enough to show up on a printout?
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if duration >= .001:
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# do we have enough samples?
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if self.getNumDurationSamples() > self.MinSamples:
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# was this a spike?
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if duration > (self.getAvgDuration() * self.SpikeThreshold):
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isSpike = True
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avgSession = self.getAvgSession()
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maxNSSession = self.getMaxNonSpikeSession()
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self.notify.info('task CPU spike profile (%s):\n'
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'== AVERAGE (%s seconds)\n%s\n'
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'== LONGEST NON-SPIKE (%s seconds)\n%s\n'
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'== SPIKE (%s seconds)\n%s' % (
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self._namePrefix,
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avgSession.getDuration(), avgSession.getResults(),
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maxNSSession.getDuration(), maxNSSession.getResults(),
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duration, session.getResults()))
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# do we have enough samples?
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if self.getNumDurationSamples() > self.MinSamples:
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# was this a spike?
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if duration > (self.getAvgDuration() * self.SpikeThreshold):
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isSpike = True
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avgSession = self.getAvgSession()
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maxNSSession = self.getMaxNonSpikeSession()
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self.notify.info('task CPU spike profile (%s):\n'
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'== AVERAGE\n%s\n'
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'== LONGEST NON-SPIKE\n%s\n'
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'== SPIKE\n%s' % (
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self._namePrefix,
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avgSession.getResults(),
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maxNSSession.getResults(),
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session.getResults()))
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return isSpike
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def addProfileSession(self, session):
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isSpike = self._checkSpike(session)
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@ -100,12 +98,10 @@ class TaskTracker:
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def log(self):
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if self._avgSession:
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self.notify.info('task CPU profile (%s):\n'
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'== AVERAGE (%s seconds)\n%s\n'
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'== LONGEST NON-SPIKE (%s seconds)\n%s' % (
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'== AVERAGE\n%s\n'
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'== LONGEST NON-SPIKE\n%s' % (
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self._namePrefix,
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self._avgSession.getDuration(),
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self._avgSession.getResults(),
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self._maxNonSpikeSession.getDuration(),
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self._maxNonSpikeSession.getResults(),
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))
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else:
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