Refactor init_team_data and init_player_data functions in app.py to accept game_count as a parameter. This change improves function clarity and ensures consistent handling of game count across team and player data initialization. Updated function calls in the simulation logic to reflect this modification.

app.py

@@ -164,8 +164,8 @@ def simulate_stats(row, num_sims=1000):
     return pd.Series(results)
 
 @st.cache_data(ttl = 60)
-def init_team_data(team, opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date):  
-        game_count = len(kill_predictions)
+def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date):  
+        game_count = game_count
         overall_team_data = pd.DataFrame(columns = ['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj'])
         # Convert date objects to datetime strings in the correct format
         start_datetime = datetime.combine(start_date, datetime.min.time()).strftime("%Y-%m-%d %H:%M:%S")
@@ -376,8 +376,8 @@ def init_team_data(team, opponent, win_loss_settings, kill_predictions, death_pr
         return overall_team_data.dropna().set_index('playername'), opp_boosts, results_dict
 
 @st.cache_data(ttl = 60)
-def init_player_data(players, opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date):  
-        game_count = len(kill_predictions)
+def init_player_data(game_count, players, opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date):  
+        game_count = game_count
         overall_team_data = pd.DataFrame(columns = ['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj'])
         # Convert date objects to datetime strings in the correct format
         start_datetime = datetime.combine(start_date, datetime.min.time()).strftime("%Y-%m-%d %H:%M:%S")
@@ -592,9 +592,9 @@ if st.button("Load/Reset Data", key='reset1'):
                   
 if st.button("Run"):
     if data_type == "Team":
-        team_data, opp_boost, results_dict = init_team_data(selected_team, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
+        team_data, opp_boost, results_dict = init_team_data(game_count, selected_team, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
     else:
-        team_data, opp_boost, results_dict = init_player_data(selected_players, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
+        team_data, opp_boost, results_dict = init_player_data(game_count, selected_players, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
 
     player_summary = pd.DataFrame()
     for game_num in range(game_count):