Update hedging_preset function to include 'sport' parameter in small_field_preset and large_field_preset calls for enhanced lineup management flexibility. This change aligns with recent updates to improve sport-specific logic in lineup strategies.

global_func/hedging_preset.py

@@ -59,11 +59,11 @@ def hedging_preset(portfolio: pd.DataFrame, lineup_target: int, projections_file
             removed_df = working_df[remove_mask]
             locked_df = working_df[lock_mask]
 
-            removed_lineups = small_field_preset(removed_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols)
+            removed_lineups = small_field_preset(removed_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols, sport)
             print(len(removed_lineups))
             # Check if locked_df is empty before calling large_field_preset
             if not locked_df.empty:
-                locked_lineups = large_field_preset(locked_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols)
+                locked_lineups = large_field_preset(locked_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols, sport)
                 print(len(locked_lineups))
                 concat_portfolio = pd.concat([concat_portfolio, removed_lineups, locked_lineups])
             else:
@@ -77,10 +77,10 @@ def hedging_preset(portfolio: pd.DataFrame, lineup_target: int, projections_file
                 removed_df = working_df[working_df['Stack'] != team]
                 teams_df = working_df[working_df['Stack'] == team]
 
-                removed_lineups = small_field_preset(removed_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols)
+                removed_lineups = small_field_preset(removed_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols, sport)
                 # Check if teams_df is empty before calling large_field_preset
                 if not teams_df.empty:
-                    team_lineups = large_field_preset(teams_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols)
+                    team_lineups = large_field_preset(teams_df, math.ceil(lineup_target / (list_size * init_counter)), excluded_cols, sport)
                     concat_portfolio = pd.concat([concat_portfolio, removed_lineups, team_lineups])
                 else:
                     # If no lineups have this team stacked, just add the removed lineups