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Update app.py
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app.py
CHANGED
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@@ -196,8 +196,32 @@ def create_leaderboard_component(dataframe, displayed_cols, hidden_cols=None, ca
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print(f"--- End Debugging Tab: {title} ---")
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# --- END DEBUG PRINTS ---
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return Leaderboard(
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value=filtered_df,
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datatype=[c.type for c in fields(AutoEvalColumn) if c.name in filtered_df.columns], # Ajustar datatype às colunas presentes
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select_columns=SelectColumns(
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default_selection=displayed_cols,
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print(f"--- End Debugging Tab: {title} ---")
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# --- END DEBUG PRINTS ---
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# --- Reordenar Colunas ---
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current_cols = filtered_df.columns.tolist()
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# Definir as colunas que devem vir primeiro
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first_cols_desired = [AutoEvalColumn.model_type_symbol.name, AutoEvalColumn.model.name]
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# Garantir que elas existem no dataframe atual
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first_cols_actual = [c for c in first_cols_desired if c in current_cols]
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# Obter as outras colunas
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other_cols = [c for c in current_cols if c not in first_cols_actual]
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# Priorizar as colunas que deveriam ser exibidas por padrão (exceto as primeiras)
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other_displayed_cols = [c for c in displayed_cols if c in other_cols]
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# Obter as colunas restantes (ocultas por padrão ou não especificadas em displayed_cols) e ordená-las
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remaining_cols = sorted([c for c in other_cols if c not in other_displayed_cols])
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# Montar a ordem final
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final_order = first_cols_actual + other_displayed_cols + remaining_cols
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# Aplicar a nova ordem
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filtered_df = filtered_df[final_order]
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# --- Fim Reordenar Colunas ---
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return Leaderboard(
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value=filtered_df, # Passar o DataFrame reordenado
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datatype=[c.type for c in fields(AutoEvalColumn) if c.name in filtered_df.columns], # Ajustar datatype às colunas presentes
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select_columns=SelectColumns(
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default_selection=displayed_cols,
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