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', PLAYING_MODES.get(mode, mode)))
+ results.append(('Mode de jeu', PLAYING_MODES.get(mode, mode), False))
self.songTitle = LogFileAnalyser.getSongTitle(self.getSongFile())
- results.append(('Chanson', self.songTitle))
+ 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
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
self.patientName = StringVar()
self.createWidgets()
- #def setFileName(self, name) :
- # self.fileName.set(name)
-
def refresh(self, lfa) :
filename = basename(lfa.logfile.name)
self.fileName.set(filename)
def layResults(self, lfa) :
results = lfa.analyse()
if results :
- for i, kv in enumerate(results) :
- k, v = kv
+ for i, kvt in enumerate(results) :
+ k, v, timeBased = kvt
kl = Label(self, text='%s :' % k)
kl.grid(row=i, column=0, sticky=E)
-
- vl = Label(self, text=v)
- vl.grid(row=i, column=1, sticky=W)
+
+ if not timeBased :
+ vl = Label(self, text=v)
+ vl.grid(row=i, column=1, sticky=W)
+ else :
+ maxv = max(v)
+ if maxv :
+ cw, ch = 200, 100
+ c = Canvas(self, background='#fff', width=cw, height=ch)
+ rectW = int(float(cw) / len(v))
+ unitRectH = float(ch) / maxv
+ for j, fv in enumerate(v) :
+ if not fv : continue
+ x0 = j * rectW
+ y0 = ch - int(unitRectH * fv)
+ x1 = (j + 1) * rectW
+ y1 = ch
+ c.create_rectangle(x0, y0, x1, y1, fill="#9085ba")
+ c.grid(row=i, column=1, sticky=W)
+
+ else :
+ vl = Label(self, text='—')
+ vl.grid(row=i, column=1, sticky=W)
else :
msg = Label(self, text="Pas de données exploitables.")
msg.grid()