show karma graph with date-based X range

this is way more interesting of a graph than delta-based, which just
ends up being a linear slope. dunno what i was thinking yesterday

dr_botzo/karma/models.py

@@ -1,5 +1,6 @@
 """Karma logging models."""
 
+from datetime import timedelta
 import logging
 import pytz
 
@@ -7,11 +8,19 @@ from irc.client import NickMask
 
 from django.conf import settings
 from django.db import models
-
+from django.utils import timezone
 
 log = logging.getLogger('karma.models')
 
 
+def perdelta(start, end, delta):
+    curr = start
+    while curr < end:
+        yield curr
+        curr += delta
+    yield end
+
+
 class KarmaKeyManager(models.Manager):
 
     """Manage handy queries for KarmaKey."""
@@ -52,18 +61,37 @@ class KarmaKey(models.Model):
                 return rank+1
         return None
 
-    def history(self):
+    def history(self, mode='delta'):
         """Determine the score for this karma entry at every delta."""
 
         history = []
 
-        entries = KarmaLogEntry.objects.filter(key=self).order_by('created')
-        for entry in entries:
-            timestamp = entry.created
-            delta = entry.delta
-            score = KarmaLogEntry.objects.filter(key=self).filter(created__lte=entry.created).aggregate(models.Sum('delta'))['delta__sum']
+        if mode == 'delta':
+            entries = KarmaLogEntry.objects.filter(key=self).order_by('created')
+            for entry in entries:
+                timestamp = entry.created
+                delta = entry.delta
+                score = KarmaLogEntry.objects.filter(key=self).filter(created__lte=entry.created).aggregate(
+                    models.Sum('delta'))['delta__sum']
 
-            history.append((timestamp, delta, score))
+                history.append((timestamp, delta, score))
+        elif mode == 'date':
+            first_entry = KarmaLogEntry.objects.filter(key=self).order_by('created')[0]
+            slice_begin = first_entry.created.date()
+            slice_end = timezone.now().date()
+            for timeslice in perdelta(slice_begin, slice_end, timedelta(days=1)):
+                score = KarmaLogEntry.objects.filter(key=self).filter(
+                    created__lte=timeslice+timedelta(days=1)).aggregate(models.Sum('delta'))['delta__sum']
+                if not score:
+                    score = 0
+                try:
+                    prev_score = history[-1][2]
+                except IndexError:
+                    prev_score = 0
+
+                delta = score - prev_score
+
+                history.append((timeslice, delta, score))
 
         return history
 

dr_botzo/karma/views.py

@@ -14,4 +14,4 @@ def key_detail(request, karma_key):
 
     entry = get_object_or_404(KarmaKey, key=karma_key)
 
-    return render(request, 'karma/karma_key.html', {'entry': entry, 'entry_history': entry.history()})
+    return render(request, 'karma/karma_key.html', {'entry': entry, 'entry_history': entry.history(mode='date')})