bugfix: Manufacturers Alerts

app.py

@@ -472,8 +472,14 @@ elif page == "Customer Analysis":
                         st.subheader("This looks great!")
                         st.info("Your customer did exceed predicted sales from the following brands:")
 
+                        # Group results by manufacturer to calculate the total predicted and actual sales
+                        grouped_results = results.groupby('marca_id_encoded').agg({
+                            'ventas_reales': 'sum',
+                            'ventas_predichas': 'sum'
+                        }).reset_index()
+
                         # Identify manufacturers that exceeded predicted sales
-                        overperforming_manufacturers = results[results['ventas_reales'] > results['ventas_predichas']].copy()
+                        overperforming_manufacturers = grouped_results[grouped_results['ventas_reales'] > grouped_results['ventas_predichas']].copy()
 
                         if not overperforming_manufacturers.empty:
                             # Calculate the extra amount (difference between actual and predicted sales)
@@ -554,8 +560,14 @@ elif page == "Customer Analysis":
                         st.subheader("You might need to check this!")
                         st.warning("Your customer was expected to buy more products from the following brands:")
 
+                        # Group results by manufacturer to calculate the total predicted and actual sales
+                        grouped_results = results.groupby('marca_id_encoded').agg({
+                            'ventas_reales': 'sum',
+                            'ventas_predichas': 'sum'
+                        }).reset_index()
+
                         # Identify manufacturers that didn't meet predicted sales
-                        underperforming_manufacturers = results[results['ventas_reales'] < results['ventas_predichas']].copy()
+                        underperforming_manufacturers = grouped_results[grouped_results['ventas_reales'] < grouped_results['ventas_predichas']].copy()
 
                         if not underperforming_manufacturers.empty:
                             # Calculate the missed amount