mirror of
https://github.com/Sneed-Group/Poodletooth-iLand
synced 2024-12-25 04:32:33 -06:00
187 lines
7.9 KiB
Python
187 lines
7.9 KiB
Python
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from direct.directnotify.DirectNotifyGlobal import directNotify
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from direct.fsm.StatePush import FunctionCall
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from direct.showbase.PythonUtil import formatTimeExact, normalDistrib
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from direct.task import Task
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class FrameProfiler:
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notify = directNotify.newCategory('FrameProfiler')
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# because of precision requirements, all times related to the profile/log
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# schedule are stored as integers
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Minute = 60
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Hour = 60 * Minute
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Day = 24 * Hour
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def __init__(self):
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Hour = FrameProfiler.Hour
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# how long to wait between frame profiles
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self._period = 2 * FrameProfiler.Minute
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if config.GetBool('frequent-frame-profiles', 0):
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self._period = 1 * FrameProfiler.Minute
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# used to prevent profile from being taken exactly every 'period' seconds
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self._jitterMagnitude = self._period * .75
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# when to log output
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# each entry must be an integer multiple of all previous entries
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# as well as an integer multiple of the period
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self._logSchedule = [ 1 * FrameProfiler.Hour,
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4 * FrameProfiler.Hour,
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12 * FrameProfiler.Hour,
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1 * FrameProfiler.Day,
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] # day schedule proceeds as 1, 2, 4, 8 days, etc.
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if config.GetBool('frequent-frame-profiles', 0):
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self._logSchedule = [ 1 * FrameProfiler.Minute,
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4 * FrameProfiler.Minute,
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12 * FrameProfiler.Minute,
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24 * FrameProfiler.Minute,
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]
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for t in self._logSchedule:
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assert isInteger(t)
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# make sure the period is evenly divisible into each element of the log schedule
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assert (t % self._period) == 0
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# make sure each element of the schedule is evenly divisible into each subsequent element
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for i in xrange(len(self._logSchedule)):
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e = self._logSchedule[i]
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for j in xrange(i, len(self._logSchedule)):
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assert (self._logSchedule[j] % e) == 0
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assert isInteger(self._period)
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self._enableFC = FunctionCall(self._setEnabled, taskMgr.getProfileFramesSV())
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self._enableFC.pushCurrentState()
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def destroy(self):
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self._enableFC.set(False)
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self._enableFC.destroy()
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def _setEnabled(self, enabled):
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if enabled:
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self.notify.info('frame profiler started')
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self._startTime = globalClock.getFrameTime()
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self._profileCounter = 0
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self._jitter = None
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self._period2aggregateProfile = {}
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self._id2session = {}
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self._id2task = {}
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# don't profile process startup
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self._task = taskMgr.doMethodLater(self._period, self._scheduleNextProfileDoLater,
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'FrameProfilerStart-%s' % serialNum())
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else:
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self._task.remove()
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del self._task
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for session in self._period2aggregateProfile.itervalues:
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session.release()
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del self._period2aggregateProfile
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for task in self._id2task.itervalues():
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task.remove()
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del self._id2task
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for session in self._id2session.itervalues():
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session.release()
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del self._id2session
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self.notify.info('frame profiler stopped')
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def _scheduleNextProfileDoLater(self, task):
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self._scheduleNextProfile()
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return task.done
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def _scheduleNextProfile(self):
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self._profileCounter += 1
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self._timeElapsed = self._profileCounter * self._period
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assert isInteger(self._timeElapsed)
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time = self._startTime + self._timeElapsed
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# vary the actual delay between profiles by a random amount to prevent interaction
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# with periodic events
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jitter = self._jitter
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if jitter is None:
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jitter = normalDistrib(-self._jitterMagnitude, self._jitterMagnitude)
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time += jitter
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else:
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time -= jitter
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jitter = None
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self._jitter = jitter
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sessionId = serialNum()
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session = taskMgr.getProfileSession('FrameProfile-%s' % sessionId)
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self._id2session[sessionId] = session
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taskMgr.profileFrames(num=1, session=session, callback=Functor(
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self._analyzeResults, sessionId))
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# schedule the next profile
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delay = max(time - globalClock.getFrameTime(), 0.)
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self._task = taskMgr.doMethodLater(delay, self._scheduleNextProfileDoLater,
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'FrameProfiler-%s' % serialNum())
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def _analyzeResults(self, sessionId):
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# do the analysis in a task 1) to separate the processing from the profiled frame,
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# and 2) to get the processing to show up in a named task instead of in the taskMgr
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self._id2task[sessionId] = taskMgr.add(
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Functor(self._doAnalysis, sessionId), 'FrameProfilerAnalysis-%s' % sessionId)
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def _doAnalysis(self, sessionId, task):
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if hasattr(task, '_generator'):
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gen = task._generator
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else:
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gen = self._doAnalysisGen(sessionId)
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task._generator = gen
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result = gen.next()
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if result == Task.done:
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del task._generator
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return result
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def _doAnalysisGen(self, sessionId):
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# generator to limit max number of profile loggings per frame
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p2ap = self._period2aggregateProfile
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self._id2task.pop(sessionId)
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session = self._id2session.pop(sessionId)
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if session.profileSucceeded():
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# always add this profile to the first aggregated profile
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period = self._logSchedule[0]
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if period not in self._period2aggregateProfile:
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p2ap[period] = session.getReference()
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else:
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p2ap[period].aggregate(session)
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else:
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self.notify.warning('frame profile did not succeed')
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session.release()
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session = None
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counter = 0
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# log profiles when it's time, and aggregate them upwards into the
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# next-longer profile
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for pi in xrange(len(self._logSchedule)):
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period = self._logSchedule[pi]
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if (self._timeElapsed % period) == 0:
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if period in p2ap:
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# delay until the next frame if we've already processed N profiles this frame
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if counter >= 3:
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counter = 0
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yield Task.cont
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self.notify.info('aggregate profile of sampled frames over last %s\n%s' %
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(formatTimeExact(period), p2ap[period].getResults()))
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counter += 1
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# aggregate this profile into the next larger profile
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nextIndex = pi + 1
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if nextIndex >= len(self._logSchedule):
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# if we're adding a new period to the end of the log period table,
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# set it to double the duration of the current longest period
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nextPeriod = period * 2
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self._logSchedule.append(nextPeriod)
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else:
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nextPeriod = self._logSchedule[nextIndex]
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if nextPeriod not in p2ap:
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p2ap[nextPeriod] = p2ap[period].getReference()
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else:
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p2ap[nextPeriod].aggregate(p2ap[period])
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# this profile is now represented in the next larger profile
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# throw it out
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p2ap[period].release()
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del p2ap[period]
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else:
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# current time is not divisible evenly into selected period, and all higher
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# periods are multiples of this one
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break
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yield Task.done
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