Update app.py

app.py

@@ -485,8 +485,19 @@ def analyze_composite(msg1, date1, msg2, date2, msg3, date3, *answers_and_none):
     darvo_scores = [r[0][5] for r in results]
     dates_used = [r[1] or "Undated" for r in results]  # Store dates for future mapping
 
-    composite_abuse = int(round(sum(abuse_scores) / len(abuse_scores)))
-    top_label = f"{top_labels[0]} – {int(round(top_scores[0] * 100))}%"
+    # Use weighted pattern scoring
+    composite_abuse_scores = []
+    for score_dict in results:
+        weighted_score = 0
+        for label, score in score_dict["pattern_scores"].items():
+            if label == "aggression":
+                weighted_score += score * 1.5
+            else:
+                weighted_score += score
+    composite_abuse_scores.append(weighted_score)
+
+    # Average across all messages
+    composite_abuse = int(round(sum(composite_abuse_scores) / len(composite_abuse_scores) * 100))
 
     most_common_stage = max(set(stages), key=stages.count)
     stage_text = RISK_STAGE_LABELS[most_common_stage]