feat: generate the filtering by manufacturer not complete

app.py

@@ -309,6 +309,14 @@ elif page == "🕵️ Análisis de Cliente":
         help="Start typing to search for a specific customer code"
     )
 
+    # Fabricante dropdown (with 'Todos' option)
+    fabricantes = ["Todos"] + list(nombres_proveedores['nombre_proveedor'].unique())  # Agregar la opción 'Todos'
+    fabricante_seleccionado = st.selectbox(
+        "Selecciona el fabricante (o Todos)",
+        fabricantes,
+        help="Selecciona un fabricante específico o 'Todos' para ver todos los fabricantes"
+    )
+
     if st.button("Calcular"):
         if customer_code:
             with st.spinner("Estamos identificando el grupo del cliente..."):
@@ -636,24 +644,7 @@ elif page == "🕵️ Análisis de Cliente":
                         else:
                             st.success("All manufacturers have met or exceeded predicted sales.")
 
-                        # # Gráfico adicional: Comparar las ventas predichas y reales para los principales fabricantes
-                        # st.markdown("### Predicted vs Actual Sales for Top Manufacturers")
-                        # top_manufacturers = results.groupby('marca_id_encoded').agg({'ventas_reales': 'sum', 'ventas_predichas': 'sum'}).sort_values(by='ventas_reales', ascending=False).head(10)
-
-                        # fig_comparison = go.Figure()
-                        # fig_comparison.add_trace(go.Bar(x=top_manufacturers.index, y=top_manufacturers['ventas_reales'], name="Actual Sales", marker_color='blue'))
-                        # fig_comparison.add_trace(go.Bar(x=top_manufacturers.index, y=top_manufacturers['ventas_predichas'], name="Predicted Sales", marker_color='orange'))
-
-                        # fig_comparison.update_layout(
-                        #     title="Actual vs Predicted Sales by Top Manufacturers",
-                        #     xaxis_title="Manufacturer",
-                        #     yaxis_title="Sales (€)",
-                        #     barmode='group',
-                        #     height=400,
-                        #     hovermode="x unified"
-                        # )
 
-                        # st.plotly_chart(fig_comparison, use_container_width=True)
 
                         # Gráfico de ventas anuales
                         ventas_clientes['codigo_cliente'] = ventas_clientes['codigo_cliente'].astype(str).str.strip()
@@ -867,4 +858,23 @@ elif page == "💡 Recomendación de Artículos":
 #             else:
 #                 st.warning("⚠️ No recommendations found for the provided basket.")
 #         else:
-#             st.warning("⚠️ Please select at least one article and set its quantity.")
+#             st.warning("⚠️ Please select at least one article and set its quantity.")
+
+                        # # Gráfico adicional: Comparar las ventas predichas y reales para los principales fabricantes
+                        # st.markdown("### Predicted vs Actual Sales for Top Manufacturers")
+                        # top_manufacturers = results.groupby('marca_id_encoded').agg({'ventas_reales': 'sum', 'ventas_predichas': 'sum'}).sort_values(by='ventas_reales', ascending=False).head(10)
+
+                        # fig_comparison = go.Figure()
+                        # fig_comparison.add_trace(go.Bar(x=top_manufacturers.index, y=top_manufacturers['ventas_reales'], name="Actual Sales", marker_color='blue'))
+                        # fig_comparison.add_trace(go.Bar(x=top_manufacturers.index, y=top_manufacturers['ventas_predichas'], name="Predicted Sales", marker_color='orange'))
+
+                        # fig_comparison.update_layout(
+                        #     title="Actual vs Predicted Sales by Top Manufacturers",
+                        #     xaxis_title="Manufacturer",
+                        #     yaxis_title="Sales (€)",
+                        #     barmode='group',
+                        #     height=400,
+                        #     hovermode="x unified"
+                        # )
+
+                        # st.plotly_chart(fig_comparison, use_container_width=True)