Statistics: Added a graph for revenue over time

src/pretix/plugins/statistics/templates/pretixplugins/statistics/index.html

@@ -13,6 +13,14 @@
             <div id="obd_chart" style="height: 250px;"></div>
         </div>
     </div>
+    <div class="panel panel-default">
+        <div class="panel-heading">
+            <h3 class="panel-title">{% trans "Revenue over time" %}</h3>
+        </div>
+        <div class="panel-body">
+            <div id="rev_chart" style="height: 250px;"></div>
+        </div>
+    </div>
     <div class="panel panel-default">
         <div class="panel-heading">
             <h3 class="panel-title">{% trans "Orders by product" %}</h3>
@@ -32,6 +40,17 @@
             smooth: false,
             resize: true
         });
+        new Morris.Area({
+            element: 'rev_chart',
+            data: {{ rev_data|safe }},
+            xkey: 'date',
+            ykeys: ['revenue'],
+            labels: ['{% trans "Total revenue" %}'],
+            smooth: false,
+            resize: true,
+            fillOpacity: 0.5,
+            postUnits: ' {{ request.event.currency }}'
+        });
         new Morris.Bar({
             element: 'obp_chart',
             data: {{ obp_data|safe }},

src/pretix/plugins/statistics/views.py

@@ -1,9 +1,10 @@
 import datetime
 import json
+from decimal import Decimal
 
 import dateutil.parser
 import dateutil.rrule
-from django.db.models import Count
+from django.db.models import Count, Sum
 from django.views.generic import TemplateView
 
 from pretix.base.models import Item, Order, OrderPosition
@@ -77,4 +78,24 @@ class IndexView(EventPermissionRequiredMixin, TemplateView):
             } for item, cnt in num_ordered.items()
         ]
 
+        rev_by_day = {
+            o['payment_date'].date(): o['sum']
+            for o in
+            Order.objects.current.filter(event=self.request.event, payment_date__isnull=False).values(
+                'payment_date').annotate(sum=Sum('total'))
+            }
+        data = []
+        total = 0
+        for d in dateutil.rrule.rrule(
+                dateutil.rrule.DAILY,
+                dtstart=min(ordered_by_day.keys()),
+                until=max(max(ordered_by_day.keys()), max(paid_by_day.keys()))):
+            d = d.date()
+            total += float(rev_by_day.get(d, 0))
+            data.append({
+                'date': d.strftime('%Y-%m-%d'),
+                'revenue': round(total, 2),
+            })
+        ctx['rev_data'] = json.dumps(data)
+
         return ctx