Refactor lineup replacement logic in load_contest_file function

- Simplified the lineup replacement process by removing try-except blocks and directly implementing sport-specific replacements for MLB, MMA, and GOLF.
- Enhanced the clarity and maintainability of the code while ensuring consistent handling of player roles across different sports.
- Maintained existing functionality while improving the robustness of the contest file loading process.

global_func/load_contest_file.py

@@ -71,15 +71,12 @@ def load_contest_file(upload, helper = None, sport = None):
             
             # Create the cleaned dataframe with just the essential columns
             cleaned_df = df[['BaseName', 'Lineup']]
-            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)
+            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([' P ', ' C ', '1B ', ' 2B ', ' 3B ', ' SS ', ' OF ', ' F ', 'F '], value=',', regex=True)
+            elif sport == 'GOLF':
+                cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' P ', ' C ', '1B ', ' 2B ', ' 3B ', ' SS ', ' OF ', ' G ', 'G '], value=',', regex=True)
             print(sport)
             print(cleaned_df.head(10))
             check_lineups = cleaned_df.copy()