Refactor exposure_spread function to include a new parameter for type_var, enabling sport-specific logic for player eligibility checks and enhancing the accuracy of player replacements based on game type.

global_func/exposure_spread.py

@@ -187,7 +187,7 @@ def check_position_eligibility(sport, column_name, player_positions):
         # Default fallback - assume exact position match
         return column_name in player_positions
 
-def exposure_spread(working_frame, exposure_player, exposure_target, exposure_stack_bool, projections_df, sport_var):
+def exposure_spread(working_frame, exposure_player, exposure_target, exposure_stack_bool, projections_df, sport_var, type_var):
     # Find comparable players in the projections
     comparable_players = projections_df[projections_df['player_names'] == exposure_player]
     
@@ -253,7 +253,11 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
                     replacement_player_positions = projections_df[projections_df['player_names'] == insert_player]['position'].iloc[0].split('/')
                     
                     # Check if the replacement player is eligible for this column
-                    if check_position_eligibility(sport_var, col, replacement_player_positions):
+                    if type_var == 'Classic':
+                        if check_position_eligibility(sport_var, col, replacement_player_positions):
+                            working_frame.at[row, col] = insert_player
+                            break
+                    else:
                         working_frame.at[row, col] = insert_player
                         break
             change_counter += 1