Enhance error handling for lineup replacements in load_contest_file function

- Added try-except blocks to handle exceptions during lineup replacements, ensuring robustness across different sports.
- Implemented specific replacements for MLB, MMA, and GOLF to maintain data integrity and improve flexibility in player role assignments.
- Maintained existing functionality while enhancing error resilience in the contest file loading process.

global_func/load_contest_file.py

@@ -71,7 +71,15 @@ def load_contest_file(upload, helper = None, sport = None):
             
             # Create the cleaned dataframe with just the essential columns
             cleaned_df = df[['BaseName', 'Lineup']]
-            cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
+            try:
+                cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
+            except:
+                if sport == 'MLB':
+                    cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' P ', ' C ', '1B ', ' 2B ', ' 3B ', ' SS ', ' OF '], value=',', regex=True)
+                elif sport == 'MMA':
+                    cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' F ', 'F '], value=',', regex=True)
+                elif sport == 'GOLF':
+                    cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' G ', 'G '], value=',', regex=True)
             check_lineups = cleaned_df.copy()
             if sport == 'MLB':
                 cleaned_df[['Remove', '1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = cleaned_df['Lineup'].str.split(',', expand=True)