Use native sorting for consistency table

app.py

@@ -509,6 +509,7 @@ def dataframe_table(
     page_size: int = 8,
     max_height: str = "520px",
     sort_action: str = "native",
+    sort_by: list[dict] | None = None,
 ) -> dash_table.DataTable:
     return dash_table.DataTable(
         id=table_id,
@@ -517,6 +518,7 @@ def dataframe_table(
         page_size=page_size,
         sort_action=sort_action,
         sort_mode="single",
+        sort_by=sort_by or [],
         cell_selectable=True,
         style_as_list_view=True,
         fixed_rows={"headers": True},
@@ -1284,7 +1286,12 @@ app.layout = html.Div(
                                 [
                                     html.Div(
                                         [
-                                            dataframe_table("consistency-table", page_size=23, max_height="520px", sort_action="custom"),
+                                            dataframe_table(
+                                                "consistency-table",
+                                                page_size=23,
+                                                max_height="520px",
+                                                sort_by=[{"column_id": "alignment_score", "direction": "desc"}],
+                                            ),
                                             html.P("Click a method to update the 3D latent view.", className="table-hint"),
                                         ],
                                         className="consistency-table-wrap",
@@ -1431,13 +1438,12 @@ def update_leaderboard(dataset: str, sort_by: list[dict] | None):
     Output("consistency-heatmap", "figure"),
     Input("dataset-filter", "value"),
     Input("consistency-table", "active_cell"),
-    Input("consistency-table", "sort_by"),
 )
-def update_consistency(dataset: str, active_cell: dict | None, sort_by: list[dict] | None):
+def update_consistency(dataset: str, active_cell: dict | None):
     df = consistency_frame(dataset, None)
     model = selected_consistency_model(df, active_cell)
     visible_cols = ["rank", "method", "alignment_score", "n_sessions", "latent_dim", "n_pairwise"]
-    sorted_df = sort_table(df, sort_by, [("alignment_score", False), ("model_order", True)])
+    sorted_df = sort_table(df, None, [("alignment_score", False), ("model_order", True)])
     table_df = sorted_df[[c for c in visible_cols + ["id", "model"] if c in sorted_df.columns]]
     return (
         column_defs([c for c in visible_cols if c in table_df.columns]),