Fix field mapping for inference engine compatibility

app.py

@@ -183,8 +183,28 @@ def predict(request: PredictionRequest):
                 detail=f"Missing required fields: {missing_en}"
             )
 
+        # Map fields to match inference engine expectations
+        mapped_data = {
+            'INDUSTRY': incoming['INDUSTRY'],
+            'EMPLOYEE_RANGE': incoming['EMPLOYEE_RANGE'],
+            'FRIDGE_RANGE': incoming['FRIDGE_RANGE'],
+            'PAYMENT_METHOD': incoming['PAYMENT_METHOD'],
+            'PREFECTURE': incoming['PREFECTURE'],
+            'FIRST_YEAR': incoming['FIRST_YEAR'],
+            'FIRST_MONTH': incoming['FIRST_MONTH'],
+            'LAT': incoming['LAT'],
+            'LONG': incoming['LONG'],
+            'DELIVERY_NUM': incoming['DELIVERY_NUM'],
+            'TOTAL_VOLUME': incoming['DELIVERY_NUM'],  # Map DELIVERY_NUM to TOTAL_VOLUME
+            'MEDIAN_GENDER_RATIO': incoming['MEDIAN_GENDER_RATIO'],
+            'MODE_TOP_AGE_RANGE_1': incoming['MODE_TOP_AGE_RANGE_1'],
+            'MODE_TOP_AGE_RANGE_2': incoming['MODE_TOP_AGE_RANGE_2'],
+            'MODE_TOP_AGE_RANGE_3': incoming['MODE_TOP_AGE_RANGE_3'],
+            'topK': incoming.get('topK', 30)
+        }
+
         # Predict
-        recommendations = engine.predict(incoming)
+        recommendations = engine.predict(mapped_data)
         requested_k = int(incoming.get("topK", 30))
         if len(recommendations) > requested_k:
             recommendations = recommendations[:requested_k]