def update_summary(self,
last_tracker_pk=0, newest_tracker_pk=0, # range of tracker ids to process
last_points_pk=0, newest_points_pk=0 # range of points ids to process
):
first_tracker = (last_tracker_pk == 0)
first_points = (last_points_pk == 0)
t = time.time()
selfTrackers = Tracker.objects.filter(user=self.user, course=self.course, pk__gt=last_tracker_pk, pk__lte=newest_tracker_pk)
### Add the values that are directly obtained from the last pks
self.total_activity = (0 if first_tracker else self.total_activity) + selfTrackers.count()
self.total_downloads = (0 if first_tracker else self.total_downloads) + selfTrackers.filter(type='download').count()
new_points = Points.objects
if newest_points_pk > 0:
new_points = new_points.filter(pk__gt=last_points_pk, pk__lte=newest_points_pk, course=self.course,user=self.user)
else:
new_points = new_points.filter(pk__gt=last_points_pk, course=self.course,user=self.user)
new_points = new_points.aggregate(total=Sum('points'))['total']
if new_points:
self.points = (0 if first_points else self.points) + new_points
### Values that need to be recalculated (as the course digests may vary)
self.pretest_score = Course.get_pre_test_score(self.course, self.user)
self.quizzes_passed = Course.get_no_quizzes_completed(self.course, self.user)
self.badges_achieved = Course.get_badges(self.course, self.user)
self.completed_activities = Course.get_activities_completed(self.course, self.user)
### Update the data in the database
self.save()
elapsed_time = time.time() - t
print('took %.2f seconds' % elapsed_time)
