Refactor DICOM image div indentation for improved readability in exam review template

anatomy/views.py

@@ -347,7 +347,15 @@ def exam_review_question_summary(request, pk: int, q_index: int):
         pass
 
     # simpler: compute via values and normalise unmarked -> 'empty'
-    score_counts = {str(row["score"]) if row["score"] is not None else "empty": row["count"] for row in ua_qs.values("score").annotate(count=Count("id"))}
+    def _norm_score_key(v):
+        # Treat None or empty-string scores as the 'empty' bucket
+        if v is None:
+            return "empty"
+        if isinstance(v, str) and v.strip() == "":
+            return "empty"
+        return str(v)
+
+    score_counts = {_norm_score_key(row["score"]): row["count"] for row in ua_qs.values("score").annotate(count=Count("id"))}
 
     # top submitted answers (by answer_compare) with dominant score per answer
     # First, get counts grouped by answer_compare and score
@@ -357,7 +365,7 @@ def exam_review_question_summary(request, pk: int, q_index: int):
     answer_map = {}
     for row in grouped:
         ans = row["answer_compare"]
-        sc = str(row["score"]) if row["score"] is not None else "empty"
+        sc = _norm_score_key(row["score"])
         cnt = row["count"]
         if ans not in answer_map:
             answer_map[ans] = {"total": 0, "score_counts": {}}
@@ -372,7 +380,14 @@ def exam_review_question_summary(request, pk: int, q_index: int):
         # sort by (count desc, score desc) where 'empty' maps to -1
         def score_key(item):
             s, c = item
-            s_val = -1 if s == "empty" else int(s)
+            # Map 'empty' (or any non-numeric key) to a low value so numeric scores win ties
+            if s == "empty":
+                s_val = -1
+            else:
+                try:
+                    s_val = int(s)
+                except Exception:
+                    s_val = -1
             return (c, s_val)
 
         dominant = max(score_counts.items(), key=score_key)[0]