Update app.py

app.py

@@ -174,6 +174,28 @@ def create_leaderboard_component(dataframe, displayed_cols, hidden_cols=None, ca
     # Filtrar Nones da lista de filtros
     final_filter_columns = [f for f in raw_filter_columns if f is not None]
 
+    # --- DEBUG PRINTS ---
+    if title == "Área Médica": # Only print for the problematic tab for clarity
+        print(f"--- Debugging Tab: {title} ---")
+        # Check columns before filtering for the tab
+        print(f"dataframe cols IN: {dataframe.columns.tolist()}") 
+        print(f"displayed_cols: {displayed_cols}")
+        print(f"hidden_cols: {hidden_cols}")
+        print(f"cant_deselect_cols: {cant_deselect_cols}")
+        # Check columns used to create filtered_df
+        print(f"all_required_cols for filter: {sorted(list(all_required_cols))}") 
+        print(f"available_cols from dataframe: {sorted(available_cols)}") 
+        # Check columns AFTER filtering for the tab
+        print(f"filtered_df cols OUT: {filtered_df.columns.tolist()}") 
+        # Check columns passed to Leaderboard config
+        print(f"Leaderboard - default_selection: {displayed_cols}")
+        print(f"Leaderboard - hide_columns: {[c for c in hidden_cols if c in filtered_df.columns]}")
+        print(f"Leaderboard - cant_deselect: {cant_deselect_cols}")
+        combined_checked_cols = set(displayed_cols) | set([c for c in hidden_cols if c in filtered_df.columns]) | set(cant_deselect_cols)
+        print(f"Leaderboard - combined checked cols: {sorted(list(combined_checked_cols))}")
+        print(f"--- End Debugging Tab: {title} ---")
+    # --- END DEBUG PRINTS ---
+
     return Leaderboard(
         value=filtered_df,
         datatype=[c.type for c in fields(AutoEvalColumn) if c.name in filtered_df.columns], # Ajustar datatype às colunas presentes