Fixed prefix fraud_

app.py

@@ -505,8 +505,9 @@ async def llm_analyse(payload: LLMAnalysePayload):
         # Convert to DataFrame
         df = pd.DataFrame(transactions)
 
-        # Remove 'fraud_' from all column names
-        df.columns = [col.replace('fraud_', '') for col in df.columns]
+        # Remove 'fraud_' from all merchant names
+        if 'merchant' in df.columns:
+            df['merchant'] = df['merchant'].str.replace('fraud_', '', regex=False)
 
         # Convert 'score' (previously 'fraud_score') to percentage string if it exists
         if 'score' in df.columns: