feat: updated app.py

app.py

@@ -239,11 +239,11 @@ elif page == "Customer Analysis":
                     st.write(f"Shape of euros_proveedor: {euros_proveedor.shape}")
 
                     # Get percentage of units sold for each manufacturer
-                    customer_df = df[df["CLIENTE"] == str(customer_code)]
-                    all_manufacturers = customer_data.iloc[:, 1:].T  # Exclude CLIENTE column
+                    customer_df = df[df["CLIENTE"] == str(customer_code)]  # Get the customer data
+                    all_manufacturers = customer_df.iloc[:, 1:].T  # Exclude CLIENTE column (manufacturers are in columns)
                     all_manufacturers.index = all_manufacturers.index.astype(str)
 
-                    # Get total sales for each manufacturer
+                    # Get total sales for each manufacturer from euros_proveedor
                     customer_euros = euros_proveedor[euros_proveedor["CLIENTE"] == str(customer_code)]
                     sales_data = customer_euros.iloc[:, 1:].T  # Exclude CLIENTE column
                     sales_data.index = sales_data.index.astype(str)
@@ -306,10 +306,20 @@ elif page == "Customer Analysis":
                     else:
                         st.warning("No combined top manufacturers found.")
 
+                    # Ensure codigo_cliente in ventas_clientes is a string
+                    ventas_clientes['codigo_cliente'] = ventas_clientes['codigo_cliente'].astype(str).str.strip()
+
+                    # Ensure customer_code is a string and strip any spaces
+                    customer_code = str(customer_code).strip()
+
+                    if customer_code in ventas_clientes['codigo_cliente'].unique():
+                        st.write(f"Customer {customer_code} found in ventas_clientes")  
+                    else:
+                        st.write(f"Customer {customer_code} not found in ventas_clientes")
+
                     # Customer sales 2021-2024 (if data exists)
                     sales_columns = ['VENTA_2021', 'VENTA_2022', 'VENTA_2023']
                     if all(col in ventas_clientes.columns for col in sales_columns):
-                        years = ['2021', '2022', '2023']
                         customer_sales_data = ventas_clientes[ventas_clientes['codigo_cliente'] == customer_code]
                         
                         if not customer_sales_data.empty: