Refactor exposure_spread function and 'Manage Portfolio' logic to replace stack management with an option to ignore specific stacks, enhancing user control in exposure calculations.

app.py

@@ -1513,9 +1513,7 @@ if selected_tab == 'Manage Portfolio':
                     exposure_player = st.selectbox("Player", options=sorted(list(set(st.session_state['projections_df']['player_names'].unique()))), key='exposure_player')
                     exposure_target = st.number_input("Target Exposure", value=.50, min_value=0.0, max_value=1.0, step=0.01)
                     if 'Stack' in st.session_state['working_frame'].columns:
-                        exposure_stack_bool = st.selectbox("Maintain Stacks?", options=['Yes', 'No'], index=0)
-                    else:
-                        exposure_stack_bool = 'No'
+                        ignore_stacks = st.selectbox("Ignore Specific Stacks?", options=sorted(list(set(st.session_state['projections_df']['team'].unique()))), default=[])
                     remove_teams_exposure = st.multiselect("Removed/Locked teams?", options=sorted(list(set(st.session_state['projections_df']['team'].unique()))), default=[])
                     specific_replacements = st.multiselect("Specific Replacements?", options=sorted(list(set(st.session_state['projections_df']['player_names'].unique()))), default=[])
                     submitted_col, export_col = st.columns(2)
@@ -1527,7 +1525,7 @@ if selected_tab == 'Manage Portfolio':
                     if reg_submitted:
                         st.session_state['settings_base'] = False
                         prior_frame = st.session_state['working_frame'].copy()
-                        parsed_frame = exposure_spread(st.session_state['working_frame'], st.session_state['exposure_player'], exposure_target, exposure_stack_bool, remove_teams_exposure, specific_replacements, st.session_state['projections_df'], sport_var, type_var, salary_max, stacking_sports)
+                        parsed_frame = exposure_spread(st.session_state['working_frame'], st.session_state['exposure_player'], exposure_target, ignore_stacks, remove_teams_exposure, specific_replacements, st.session_state['projections_df'], sport_var, type_var, salary_max, stacking_sports)
                         
                         if type_var == 'Classic':
                             if sport_var == 'CS2' or sport_var == 'LOL':
@@ -1620,7 +1618,7 @@ if selected_tab == 'Manage Portfolio':
                     elif exp_submitted:
                         st.session_state['settings_base'] = False
                         prior_frame = st.session_state['export_base'].copy()
-                        parsed_frame = exposure_spread(st.session_state['export_base'], st.session_state['exposure_player'], exposure_target, exposure_stack_bool, remove_teams_exposure, specific_replacements, st.session_state['projections_df'], sport_var, type_var, salary_max, stacking_sports)
+                        parsed_frame = exposure_spread(st.session_state['export_base'], st.session_state['exposure_player'], exposure_target, ignore_stacks, remove_teams_exposure, specific_replacements, st.session_state['projections_df'], sport_var, type_var, salary_max, stacking_sports)
                         
                         if type_var == 'Classic':
                             if sport_var == 'CS2' or sport_var == 'LOL':

global_func/exposure_spread.py

@@ -148,14 +148,10 @@ 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, remove_teams, specific_replacements, projections_df, sport_var, type_var, salary_max, stacking_sports):
+def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stacks, remove_teams, specific_replacements, projections_df, sport_var, type_var, salary_max, stacking_sports):
     comparable_players = projections_df[projections_df['player_names'] == exposure_player]
     
     comparable_players = comparable_players.reset_index(drop=True)
-    if exposure_stack_bool == 'Yes':
-        comparable_stack = comparable_players['team'][0]
-    else:
-        comparable_stack = 0
     comp_salary_high = comparable_players['salary'][0]
     comp_salary_low = comparable_players['salary'][0] - 500
     comp_projection_high = comparable_players['median'][0]
@@ -196,9 +192,9 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
     # isolate the rows that contain the player
     player_rows = working_frame[player_mask]
     replace_rows = working_frame[replace_mask]
-    if comparable_stack != 0:
-        player_rows = player_rows[player_rows['Stack'] != comparable_stack]
-        replace_rows = replace_rows[replace_rows['Stack'] != comparable_stack]
+    if ignore_stacks != []:
+        player_rows = player_rows[~player_rows['Stack'].isin(ignore_stacks)]
+        replace_rows = replace_rows[~replace_rows['Stack'].isin(ignore_stacks)]
     
     change_counter = 0