def next_repetition_per_grade(self, reviewed_at=None):
#FIXME disable fuzzing
if not reviewed_at:
reviewed_at = datetime.utcnow()
reps = {}
for grade in ALL_GRADES:
repetition_algo = repetition_algo_dispatcher(
self, grade, reviewed_at=reviewed_at)
reps[grade] = repetition_algo.next_repetition()
return reps
def next_repetition_per_grade(self, reviewed_at=None):
#FIXME disable fuzzing
if not reviewed_at:
reviewed_at = datetime.utcnow()
reps = {}
for grade in ALL_GRADES:
repetition_algo = repetition_algo_dispatcher(
self, grade, reviewed_at=reviewed_at)
reps[grade] = repetition_algo.next_repetition()
return reps
def review(self, grade, duration=None, question_duration=None):
'''
Commits a review rated with `grade`.
`question_duration` is an optional parameter which contains the
time (in seconds, floating point) that the user spent looking at the
question/front side of the card, before hitting "Show Answer" to
see the back. It is in effect the time spent thinking of the answer.
`duration` is the same, but for each entire duration of viewing
this card (so, the time taken for the front and back of the card.)
'''
from manabi.apps.flashcards.signals import pre_card_reviewed, post_card_reviewed
pre_card_reviewed.send(self, instance=self)
reviewed_at = datetime.utcnow()
was_new = self.is_new
# Update this card's statistics
card_history_item = self._update_statistics(
grade,
reviewed_at,
duration=duration,
question_duration=question_duration)
# Create Undo stack item
UndoCardReview.objects.add_undo(card_history_item)
# Compute and apply updated card repetition values.
repetition_algo = repetition_algo_dispatcher(self,
grade,
reviewed_at=reviewed_at)
repetition_algo.next_repetition.delete_cache(repetition_algo)
next_repetition = repetition_algo.next_repetition()
self._apply_updated_schedule(next_repetition)
self.last_review_grade = grade
self.last_reviewed_at = reviewed_at
if grade == GRADE_NONE:
self.last_failed_at = reviewed_at
# Finish up the card history item record
card_history_item.ease_factor = self.ease_factor
card_history_item.interval = self.interval
card_history_item.save()
self.save()
# self.redis.after_review()
post_card_reviewed.send(self, instance=self)
def review(self, grade, duration=None, question_duration=None):
'''
Commits a review rated with `grade`.
`question_duration` is an optional parameter which contains the
time (in seconds, floating point) that the user spent looking at the
question/front side of the card, before hitting "Show Answer" to
see the back. It is in effect the time spent thinking of the answer.
`duration` is the same, but for each entire duration of viewing
this card (so, the time taken for the front and back of the card.)
'''
from manabi.apps.flashcards.signals import pre_card_reviewed, post_card_reviewed
pre_card_reviewed.send(self, instance=self)
reviewed_at = datetime.utcnow()
was_new = self.is_new
# Update this card's statistics
card_history_item = self._update_statistics(
grade, reviewed_at,
duration=duration, question_duration=question_duration)
# Create Undo stack item
UndoCardReview.objects.add_undo(card_history_item)
# Compute and apply updated card repetition values.
repetition_algo = repetition_algo_dispatcher(
self, grade, reviewed_at=reviewed_at)
repetition_algo.next_repetition.delete_cache(repetition_algo)
next_repetition = repetition_algo.next_repetition()
self._apply_updated_schedule(next_repetition)
self.last_review_grade = grade
self.last_reviewed_at = reviewed_at
if grade == GRADE_NONE:
self.last_failed_at = reviewed_at
# Finish up the card history item record
card_history_item.ease_factor = self.ease_factor
card_history_item.interval = self.interval
card_history_item.save()
self.save()
# self.redis.after_review()
post_card_reviewed.send(self, instance=self)
