support LearnedTimestamps and flipped cards
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@ -2,22 +2,33 @@
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# Copyright: Andreas Klauer <Andreas.Klauer@metamorpher.de>
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# License: BSD-3
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import gzip, math, random
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import gzip, math, random, time
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import xml.etree.ElementTree as ET
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from anki.importing.noteimp import NoteImporter, ForeignNote, ForeignCard
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from anki.stdmodels import addBasicModel
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from anki.stdmodels import addForwardReverse
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ONE_DAY = 60*60*24
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class PaukerImporter(NoteImporter):
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'''Import Pauker 1.8 Lesson (*.pau.gz)'''
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needMapper = False
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def run(self):
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model = addForwardReverse(self.col)
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model['name'] = "Pauker"
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self.col.models.save(model)
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self.col.models.setCurrent(model)
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self.model = model
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self.initMapping()
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NoteImporter.run(self)
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def fields(self):
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'''Pauker is Front/Back'''
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print "pauker", "fields", self
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return 2
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def foreignNotes(self):
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'''Build and return a list of notes.'''
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print "pauker", "foreignNotes", self
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notes = []
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try:
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@ -29,41 +40,36 @@ class PaukerImporter(NoteImporter):
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f.close()
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index = -4
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ivlmax = -1
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for batch in lesson.findall('./Batch'):
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index += 1
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if index >= 0:
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ivlmin = ivlmax+1
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ivlmax = int(math.exp(index))
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for card in batch.findall('./Card'):
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# Create a note for this card.
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front = card.findtext('./FrontSide/Text')
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back = card.findtext('./ReverseSide/Text')
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note = ForeignNote()
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note.fields = [x.strip().replace('\n','<br>') for x in [front, back]]
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note.tags.append("Pauker%+d" % (index,))
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notes.append(note)
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if index == -3:
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# new cards
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continue
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# Determine due date for cards.
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frontdue = card.find('./FrontSide[@LearnedTimestamp]')
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backdue = card.find('./ReverseSide[@Batch][@LearnedTimestamp]')
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for tmpl in self.model['tmpls']:
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fc = ForeignCard()
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if index >= 0:
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# due cards
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fc.ivl = random.randint(ivlmin,ivlmax)
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fc.due = self.col.sched.today+random.randint(ivlmin,ivlmax)
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fc.factor = 2500 * fc.ivl / ivlmax
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fc.reps = index * fc.ivl / ivlmax
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else:
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# shortterm cards
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fc.ivl = 0
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fc.due = self.col.sched.today
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fc.factor = random.randint(2000, 2500)
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fc.reps = random.randint(0,3)
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note.cards[tmpl['ord']] = fc
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if frontdue is not None:
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note.cards[0] = self._learnedCard(index, int(frontdue.attrib['LearnedTimestamp']))
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if backdue is not None:
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note.cards[1] = self._learnedCard(int(backdue.attrib['Batch']), int(backdue.attrib['LearnedTimestamp']))
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return notes
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def _learnedCard(self, batch, timestamp):
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ivl = math.exp(batch)
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now = time.time()
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due = ivl - (now - timestamp/1000.0)/ONE_DAY
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fc = ForeignCard()
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fc.due = self.col.sched.today + int(due+0.5)
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fc.ivl = random.randint(int(ivl*0.90), int(ivl+0.5))
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fc.factor = random.randint(1500,2500)
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return fc
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