def addItemToCards(self,item):
"This method actually do conversion"
# new anki card
card = ForeignCard()
# clean Q and A
card.fields.append(self._fudgeText(self._decode_htmlescapes(item.Question)))
card.fields.append(self._fudgeText(self._decode_htmlescapes(item.Answer)))
card.tags = u""
# pre-process scheduling data
tLastrep = time.mktime(time.strptime(item.LastRepetition, '%d.%m.%Y'))
tToday = time.time()
# convert learning data
if not self.META.resetLearningData:
# migration of LearningData algorithm
card.interval = item.Interval
card.successive = item.Repetitions
##card.due = tToday + (float(item.Interval) * 86400.0) - tLastrep
card.due = tLastrep + (float(item.Interval) * 86400.0)
card.lastDue = 0
card.factor = float(item.AFactor.replace(',','.'))
card.lastFactor = float(item.AFactor.replace(',','.'))
# SM is not exporting all the information Anki keeps track off, so it
# needs to be fudged
card.youngEase0 = item.Lapses
card.youngEase3 = item.Repetitions + item.Lapses
card.yesCount = item.Repetitions
card.noCount = item.Lapses
card.reps = card.yesCount + card.noCount
card.spaceUntil = card.due
card.combinedDue = card.due
# categories & tags
# it's worth to have every theme (tree structure of sm collection) stored in tags, but sometimes not
# you can deceide if you are going to tag all toppics or just that containing some pattern
tTaggTitle = False
for pattern in self.META.pathsToBeTagged:
if item.lTitle != None and pattern.lower() in u" ".join(item.lTitle).lower():
tTaggTitle = True
break
if tTaggTitle or self.META.tagAllTopics:
# normalize - remove diacritic punctuation from unicode chars to ascii
item.lTitle = [ self._unicode2ascii(topic) for topic in item.lTitle]
# Transfrom xyz / aaa / bbb / ccc on Title path to Tag xyzAaaBbbCcc
# clean things like [999] or [111-2222] from title path, example: xyz / [1000-1200] zyx / xyz
# clean whitespaces
# set Capital letters for first char of the word
tmp = list(set([ re.sub('(\[[0-9]+\])' , ' ' , i ).replace('_',' ') for i in item.lTitle ]))
tmp = list(set([ re.sub('(\W)',' ', i ) for i in tmp ]))
tmp = list(set([ re.sub( '^[0-9 ]+$','',i) for i in tmp ]))
tmp = list(set([ capwords(i).replace(' ','') for i in tmp ]))
tags = [ j[0].lower() + j[1:] for j in tmp if j.strip() <> '']
card.tags += u" ".join(tags)
if self.META.tagMemorizedItems and item.Interval >0:
card.tags += " Memorized"
self.logger(u'Element tags\t- ' + card.tags, level=3)
self.cards.append(card)
def addItemToCards(self,item):
"This method actually do conversion"
# new anki card
card = ForeignCard()
# clean Q and A
card.fields.append(self._fudgeText(self._decode_htmlescapes(item.Question)))
card.fields.append(self._fudgeText(self._decode_htmlescapes(item.Answer)))
card.tags = u""
# pre-process scheduling data
tLastrep = time.mktime(time.strptime(item.LastRepetition, '%d.%m.%Y'))
tToday = time.time()
# convert learning data
if not self.META.resetLearningData:
# migration of LearningData algorithm
card.interval = item.Interval
card.successive = item.Repetitions
##card.due = tToday + (float(item.Interval) * 86400.0) - tLastrep
card.due = tLastrep + (float(item.Interval) * 86400.0)
card.lastDue = 0
card.factor = float(item.AFactor.replace(',','.'))
card.lastFactor = float(item.AFactor.replace(',','.'))
# SM is not exporting all the information Anki keeps track off, so it
# needs to be fudged
card.youngEase0 = item.Lapses
card.youngEase3 = item.Repetitions + item.Lapses
card.yesCount = item.Repetitions
card.noCount = item.Lapses
card.reps = card.yesCount + card.noCount
card.spaceUntil = card.due
card.combinedDue = card.due
# categories & tags
# it's worth to have every theme (tree structure of sm collection) stored in tags, but sometimes not
# you can deceide if you are going to tag all toppics or just that containing some pattern
tTaggTitle = False
for pattern in self.META.pathsToBeTagged:
if item.lTitle != None and pattern.lower() in u" ".join(item.lTitle).lower():
tTaggTitle = True
break
if tTaggTitle or self.META.tagAllTopics:
# normalize - remove diacritic punctuation from unicode chars to ascii
item.lTitle = [ self._unicode2ascii(topic) for topic in item.lTitle]
# Transfrom xyz / aaa / bbb / ccc on Title path to Tag xyzAaaBbbCcc
# clean things like [999] or [111-2222] from title path, example: xyz / [1000-1200] zyx / xyz
# clean whitespaces
# set Capital letters for first char of the word
tmp = list(set([ re.sub('(\[[0-9]+\])' , ' ' , i ).replace('_',' ') for i in item.lTitle ]))
tmp = list(set([ re.sub('(\W)',' ', i ) for i in tmp ]))
tmp = list(set([ re.sub( '^[0-9 ]+$','',i) for i in tmp ]))
tmp = list(set([ capwords(i).replace(' ','') for i in tmp ]))
tags = [ j[0].lower() + j[1:] for j in tmp if j.strip() <> '']
card.tags += u" ".join(tags)
if self.META.tagMemorizedItems and item.Interval >0:
card.tags += " Memorized"
self.logger(u'Element tags\t- ' + card.tags, level=3)
self.cards.append(card)
