fix: Refactors data aggregation for heatmap

Replaces count annotation with custom aggregation logic to
correctly count status entries per date in heatmap data.

Improves data processing by calculating occurrences manually.
Removes previous annotation and modifies output format.

This ensures data accuracy before encoding into JSON response.

mood/views.py

@@ -15,6 +15,7 @@ from django.utils import timezone
 from django.views.decorators.clickjacking import xframe_options_sameorigin
 from django.utils.decorators import method_decorator
 from django.db.models import Count
+from django.db.models.functions import TruncDate
 
 from .models import Status, Activity, Mood, StatusMedia, StatusActivity
 from .forms import StatusForm
@@ -561,17 +562,18 @@ class MoodCountHeatmapJSONView(LoginRequiredMixin, View):
         else:
             mindate = maxdate - relativedelta.relativedelta(years=1)
 
-        data = (
-            Status.objects.filter(
+        data = Status.objects.filter(
             user=request.user, timestamp__gte=mindate, timestamp__lte=maxdate
-        
-            )
-            .annotate(value=Count("id"))
         )
 
-        # TODO: Should eventually change this so that it returns a *color* as a value and the count as a tooltip
-        data = [{"date": d.timestamp.strftime("%Y-%m-%d"), "value": d.value} for d in data]
+        output = {}
 
-        res.write(json.dumps(data))
+        for entry in data:
+            date = entry.timestamp.strftime("%Y-%m-%d")
+            output[date] = output.get(date, 0) + 1
+
+        output = [{"date": key, "value": value} for key, value in output.items()]
+
+        res.write(json.dumps(output))
 
         return res