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Change reading for mastery_model #3362

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Merged
rtibbles merged 5 commits into from
May 19, 2022
Merged

Change reading for mastery_model #3362

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1998184
Change reading for mastery_model
AtKristijan Apr 11, 2022
d312d30
Change reading for mastery_model
AtKristijan Apr 11, 2022
2efc343
Fixes, changed mastery models.
AtKristijan Apr 26, 2022
dad846a
Fix mastery model
AtKristijan May 12, 2022
6927ef0
Change "or" to "and"
AtKristijan May 17, 2022
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18 changes: 14 additions & 4 deletions contentcuration/contentcuration/management/commands/fix_exercise_complete.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,18 +20,28 @@ class Command(BaseCommand):

def handle(self, *args, **options):
start = time.time()

reset_time = time.time()

mastery_model_exercise_count = ContentNode.objects.filter(kind_id=content_kinds.EXERCISE)\
mastery_model_exercise_count = ContentNode.objects.filter(kind_id=content_kinds.EXERCISE) \
.filter(Q(extra_fields__has_key='mastery_model')).order_by().count()

i = 0

while i < mastery_model_exercise_count:
chunk_time = time.time()
update_ids = ContentNode.objects.filter(kind_id=content_kinds.EXERCISE)\
.filter(Q(extra_fields__has_key='mastery_model')).order_by("id").values_list("id", flat=True)[i: i + CHUNKSIZE]
update_ids = ContentNode.objects.filter(kind_id=content_kinds.EXERCISE) \
.filter(Q(extra_fields__has_key='mastery_model')).order_by("id").values_list("id", flat=True)[i: i + CHUNKSIZE]
ContentNode.objects.filter(pk__in=update_ids).update(complete=True)
logging.info('Marked {} nodes as complete=True in {} seconds'.format(CHUNKSIZE, time.time() - chunk_time))
i += CHUNKSIZE

mastery_model_exercise_count = ContentNode.objects.filter(kind_id=content_kinds.EXERCISE) \
.filter(Q(extra_fields__has_key='option.completion_criteria.mastery_model')).order_by().count()

while i < mastery_model_exercise_count:
chunk_time = time.time()
update_ids = ContentNode.objects.filter(kind_id=content_kinds.EXERCISE) \
.filter(Q(extra_fields__has_key='option.completion_criteria.mastery_model')).order_by("id").values_list("id", flat=True)[i: i + CHUNKSIZE]
ContentNode.objects.filter(pk__in=update_ids).update(complete=True)
logging.info('Marked {} nodes as complete=True in {} seconds'.format(CHUNKSIZE, time.time() - chunk_time))
i += CHUNKSIZE
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6 changes: 6 additions & 0 deletions contentcuration/contentcuration/management/commands/mark_incomplete.py
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Expand Up @@ -118,6 +118,12 @@ def handle(self, *args, **options):
logging.info('Marking mastery_model less exercises...')
count = ContentNode.objects.exclude(complete=False).filter(kind_id=content_kinds.EXERCISE).filter(~Q(extra_fields__has_key='mastery_model')) \
.order_by().update(complete=False)

logging.info('Marked {} mastery_model less exercises(finished in {})'.format(count, time.time() - exercisestart))

count = ContentNode.objects.exclude(complete=False).filter(kind_id=content_kinds.EXERCISE).filter(~Q(extra_fields__has_key='mastery_model') & ~Q(extra_fields__has_key='option.completion_criteria.mastery_model')) \
.order_by().update(complete=False)

logging.info('Marked {} mastery_model less exercises(finished in {})'.format(count, time.time() - exercisestart))

exercisestart = time.time()
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8 changes: 7 additions & 1 deletion contentcuration/contentcuration/utils/publish.py
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Expand Up @@ -403,7 +403,13 @@ def process_assessment_metadata(ccnode, kolibrinode):
randomize = exercise_data.get('randomize') if exercise_data.get('randomize') is not None else True
assessment_item_ids = [a.assessment_id for a in assessment_items]

mastery_model = {'type': exercise_data.get('mastery_model') or exercises.M_OF_N}
exercise_data_type = ""
if exercise_data.get('mastery_model'):
exercise_data_type = exercise_data.get('mastery_model')
if exercise_data.get('option') and exercise_data.get('option').get('completion_criteria') and exercise_data.get('option').get('completion_criteria').get('mastery_model'):
exercise_data_type = exercise_data.get('option').get('completion_criteria').get('mastery_model')

mastery_model = {'type': exercise_data_type or exercises.M_OF_N}
if mastery_model['type'] == exercises.M_OF_N:
mastery_model.update({'n': exercise_data.get('n') or min(5, assessment_items.count()) or 1})
mastery_model.update({'m': exercise_data.get('m') or min(5, assessment_items.count()) or 1})
Expand Down