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Cached and fixed statistics
This commit is contained in:
Raphael Michel
@@ -18,80 +18,91 @@ class IndexView(EventPermissionRequiredMixin, TemplateView):
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def get_context_data(self, **kwargs):
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ctx = super().get_context_data(**kwargs)
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cache = self.request.event.get_cache()
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# Orders by day
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ordered_by_day = {}
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for o in Order.objects.current.filter(event=self.request.event).values('datetime'):
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day = o['datetime'].date()
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ordered_by_day[day] = ordered_by_day.get(day, 0) + 1
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paid_by_day = {}
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for o in Order.objects.current.filter(event=self.request.event,
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payment_date__isnull=False).values('payment_date'):
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day = o['payment_date'].date()
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paid_by_day[day] = paid_by_day.get(day, 0) + 1
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ctx['obd_data'] = cache.get('statistics_obd_data')
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if not ctx['obd_data']:
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ordered_by_day = {}
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for o in Order.objects.current.filter(event=self.request.event).values('datetime'):
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day = o['datetime'].date()
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ordered_by_day[day] = ordered_by_day.get(day, 0) + 1
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paid_by_day = {}
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for o in Order.objects.current.filter(event=self.request.event,
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payment_date__isnull=False).values('payment_date'):
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day = o['payment_date'].date()
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paid_by_day[day] = paid_by_day.get(day, 0) + 1
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data = []
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for d in dateutil.rrule.rrule(
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dateutil.rrule.DAILY,
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dtstart=min(ordered_by_day.keys() if ordered_by_day else datetime.date.today()),
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until=max(
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max(ordered_by_day.keys() if paid_by_day else [datetime.date.today()]),
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max(paid_by_day.keys() if paid_by_day else [datetime.date(1970, 1, 1)])
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)):
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d = d.date()
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data.append({
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'date': d.strftime('%Y-%m-%d'),
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'ordered': ordered_by_day.get(d, 0),
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'paid': paid_by_day.get(d, 0)
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})
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data = []
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for d in dateutil.rrule.rrule(
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dateutil.rrule.DAILY,
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dtstart=min(ordered_by_day.keys() if ordered_by_day else datetime.date.today()),
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until=max(
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max(ordered_by_day.keys() if paid_by_day else [datetime.date.today()]),
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max(paid_by_day.keys() if paid_by_day else [datetime.date(1970, 1, 1)])
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)):
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d = d.date()
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data.append({
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'date': d.strftime('%Y-%m-%d'),
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'ordered': ordered_by_day.get(d, 0),
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'paid': paid_by_day.get(d, 0)
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})
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ctx['obd_data'] = json.dumps(data)
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ctx['obd_data'] = json.dumps(data)
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cache.set('statistics_obd_data', ctx['obd_data'])
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# Orders by product
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num_ordered = {
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p['item']: p['cnt']
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for p in (OrderPosition.objects.current
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.filter(order__event=self.request.event)
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.values('item', 'variation')
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.annotate(cnt=Count('id')))
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}
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num_paid = {
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p['item']: p['cnt']
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for p in (OrderPosition.objects.current
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.filter(order__event=self.request.event, order__status=Order.STATUS_PAID)
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.values('item', 'variation')
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.annotate(cnt=Count('id')))
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}
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item_names = {
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i.identity: str(i.name)
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for i in Item.objects.current.filter(event=self.request.event)
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}
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ctx['obp_data'] = [
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{
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'item': item_names[item],
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'ordered': cnt,
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'paid': num_paid.get(item, 0)
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} for item, cnt in num_ordered.items()
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]
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ctx['obp_data'] = cache.get('statistics_obp_data')
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if not ctx['obp_data']:
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num_ordered = {
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p['item']: p['cnt']
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for p in (OrderPosition.objects.current
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.filter(order__event=self.request.event)
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.values('item', 'variation')
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.annotate(cnt=Count('id')))
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}
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num_paid = {
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p['item']: p['cnt']
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for p in (OrderPosition.objects.current
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.filter(order__event=self.request.event, order__status=Order.STATUS_PAID)
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.values('item', 'variation')
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.annotate(cnt=Count('id')))
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}
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item_names = {
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i.identity: str(i.name)
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for i in Item.objects.current.filter(event=self.request.event)
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}
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ctx['obp_data'] = [
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{
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'item': item_names[item],
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'ordered': cnt,
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'paid': num_paid.get(item, 0)
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} for item, cnt in num_ordered.items()
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]
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cache.set('statistics_obp_data', ctx['obp_data'])
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rev_by_day = {}
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for o in Order.objects.current.filter(event=self.request.event,
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status=Order.STATUS_PAID,
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payment_date__isnull=False).values('payment_date', 'total'):
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day = o['payment_date'].date()
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rev_by_day[day] = rev_by_day.get(day, 0) + o['total']
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ctx['rev_data'] = cache.get('statistics_rev_data')
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if not ctx['rev_data']:
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rev_by_day = {}
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for o in Order.objects.current.filter(event=self.request.event,
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status=Order.STATUS_PAID,
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payment_date__isnull=False).values('payment_date', 'total'):
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day = o['payment_date'].date()
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rev_by_day[day] = rev_by_day.get(day, 0) + o['total']
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data = []
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total = 0
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for d in dateutil.rrule.rrule(
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dateutil.rrule.DAILY,
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dtstart=min(rev_by_day.keys() if rev_by_day else [datetime.date.today()]),
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until=max(rev_by_day.keys() if rev_by_day else [datetime.date.today()])):
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d = d.date()
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total += float(rev_by_day.get(d, 0))
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data.append({
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'date': d.strftime('%Y-%m-%d'),
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'revenue': round(total, 2),
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})
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ctx['rev_data'] = json.dumps(data)
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data = []
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total = 0
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for d in dateutil.rrule.rrule(
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dateutil.rrule.DAILY,
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dtstart=min(rev_by_day.keys() if rev_by_day else [datetime.date.today()]),
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until=max(rev_by_day.keys() if rev_by_day else [datetime.date.today()])):
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d = d.date()
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total += float(rev_by_day.get(d, 0))
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data.append({
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'date': d.strftime('%Y-%m-%d'),
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'revenue': round(total, 2),
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})
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ctx['rev_data'] = json.dumps(data)
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cache.set('statistics_rev_data', ctx['rev_data'])
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return ctx
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