The data for the studies per weekday charts, which also drill down to studies per hour in each weekday, is calculated in view.py using a nested FOR loop:
studiesPerHourInWeekdays = [[0 for x in range(24)] for x in range(7)] for day in range(7): studyTimesOnThisWeekday = f.qs.filter(study_date__week_day=day+1).values('study_time') if studyTimesOnThisWeekday: for hour in range(24): try: studiesPerHourInWeekdays[day][hour] = studyTimesOnThisWeekday.filter(study_time__gte = str(hour)+':00').filter(study_time__lte = str(hour)+':59').values('study_time').count() except: studiesPerHourInWeekdays[day][hour] = 0
I think it should be possible to replace the inner loop, which runs 24 times for each day of the week, with a single qsstats time_series query per weekday. The results of this time_series query could then be used to populate the hourly data for that day. I strongly suspect that this will be faster than the current loop.
This isn't possible at the moment because qsstats requires input in the form of a datetime.datetime variable, and at the moment we only have separate study_date (datetime.date) and study_time (datetime.time) fields. If these two fields could be combined into a new study_datetime field using datetime.combine, and then my proposed improvement would work.
I've tried adding a new study_datetime property (calculated field) to the GeneralStudyModuleAttr table, but unfortunately the qsstats time_series has to have an actual data field, and won't work on a calculated field.