from minwii.logfilereader import LogFileReader
from pprint import pprint
from minwii.musicxml import musicXml2Song
+from minwii.globals import PLAYING_MODES
from statlib import stats
from datetime import timedelta
+from xml.etree import ElementTree
+import os.path
-DEFAULT_STATS = ('geometricmean',
- 'harmonicmean',
- 'mean',
- 'median',
- 'medianscore',
+PLAYING_MODES = dict(PLAYING_MODES)
+
+DEFAULT_STATS = (#'geometricmean',
+ ('harmonicmean', 'Moyenne harmonique'),
+ ('mean', 'Moyenne '),
+ ('median', 'Médiane'),
+ #'medianscore',
#'mode',
- 'moment',
- 'variation',
- 'skew',
- 'kurtosis',
+ #'moment',
+ ('variation', 'Variation'),
+ #'skew',
+ ('kurtosis', 'Kurtosis'),
#'itemfreq',
#'histogram',
#'cumfreq',
def statsresults(m) :
def computeList(self):
l = m(self)
- ret = {}
- for name in DEFAULT_STATS :
- ret[name] = getattr(stats, name)(l)
- return ret
+ results = []
+ for name, label in DEFAULT_STATS :
+ results.append('%s : %s' % (label, getattr(stats, name)(l)))
+ return '\n'.join(results)
+ computeList.__name__ = m.__name__
+ computeList.__doc__ = m.__doc__
return computeList
+def timebased(m) :
+ m.timebased = True
+ return m
+
class LogFileAnalyser(LogFileReader) :
POSSIBLE_ANALYSES = {'BEGINNER' : ('songDuration',
'playingDuration',
'noteEndNoteOnLatency',
'realisationRate')
+
,'EASY' : ('songDuration',
'playingDuration',
'noteEndNoteOnLatency',
'realisationRate',
- 'missCount')
+ 'missCount',
+ 'getMissPerTimeFrame')
+
,'NORMAL' : ('songDuration',
'playingDuration',
'realisationRate',
- 'missCount')
+ 'missCount',
+ 'getMissPerTimeFrame')
+
,'ADVANCED' : ('songDuration',
'playingDuration',
'realisationRate',
- 'missCount')
+ 'missCount',
+ 'getMissPerTimeFrame')
+
,'EXPERT' : ('songDuration',
'playingDuration',
'realisationRate',
- 'missCount')
+ 'missCount',
+ 'getMissPerTimeFrame')
}
def analyse(self) :
try :
self.mode = mode = self.getMode()
- results.append(('Mode de jeu', mode))
+ results.append(('Mode de jeu', PLAYING_MODES.get(mode, mode), False))
+
+ self.songTitle = LogFileAnalyser.getSongTitle(self.getSongFile())
+ results.append(('Chanson', self.songTitle, False))
+
for name in self.POSSIBLE_ANALYSES[mode] :
meth = getattr(self, name)
- results.append((meth.__doc__, meth()))
+ results.append( (meth.__doc__, meth(), getattr(meth, 'timebased', False)) )
except :
raise
return results
+ @staticmethod
+ def getSongTitle(file) :
+ if os.path.exists(file) :
+ it = ElementTree.iterparse(file, ['start', 'end'])
+ creditFound = False
+
+ for evt, el in it :
+ if el.tag == 'credit' :
+ creditFound = True
+ if el.tag == 'credit-words' and creditFound:
+ return el.text
+ if el.tag == 'part-list' :
+ # plus de chance de trouver un titre
+ return os.path.basename(file)
+ else :
+ return os.path.basename(file)
+
def _toTimeDelta(self, milliseconds) :
duration = milliseconds / 1000.
duration = int(round(duration, 0))
miss = miss + 1
return miss
+
+ @timebased
+ def getMissPerTimeFrame(self, timeFrame=10000) :
+ "Nombre d'erreurs en fonction du temps"
+ eIter = self.getEventsIterator()
+ firstTicks = self.getFirstEventTicks()
+ frames = [0]
+
+ if self.mode in ('EASY', 'NORMAL') :
+ catchColUp = False
+ for ticks, eventName, message in eIter :
+ if ticks - firstTicks > timeFrame :
+ firstTicks = ticks
+ frames.append(0)
+
+ if eventName == 'COLDOWN' :
+ colState = message.split(None, 2)[1]
+ colState = colState == 'True'
+ if colState :
+ catchColUp = False
+ continue
+ else :
+ catchColUp = True
+ elif eventName == 'NOTEON' :
+ catchColUp = False
+ elif eventName == 'COLUP' and catchColUp :
+ frames[-1] = frames[-1] + 1
+ else :
+ for ticks, eventName, message in eIter :
+ if ticks - firstTicks > timeFrame :
+ firstTicks = ticks
+ frames.append(0)
+
+ if eventName == 'COLDOWN' :
+ colState = message.split(None, 2)[1]
+ colState = colState == 'True'
+ if not colState :
+ frames[-1] = frames[-1] + 1
+
+ return frames