Add MMA stacking configuration and enhance error handling in position export logic in app.py. This update introduces new player positions for MMA and improves the robustness of the data processing by adding exception handling for sorting and deduplication operations.

app.py

@@ -38,6 +38,7 @@ stack_column_dict = {
             'NFL': ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX'],
             'LOL': ['TOP', 'JNG', 'MID', 'ADC', 'SUP', 'TEAM'],
             'NCAAF': ['QB', 'WR1', 'WR2', 'WR3', 'FLEX', 'SFLEX'],
+            'MMA': ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
         },
         'Showdown': {
             'MLB': ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
@@ -54,6 +55,7 @@ stack_column_dict = {
             'NFL': ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX'],
             'LOL': ['TOP', 'JNG', 'MID', 'ADC', 'SUP', 'TEAM'],
             'NCAAF': ['QB', 'WR1', 'WR2', 'WR3', 'SFLEX'],
+            'MMA': ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
         },
         'Showdown': {
             'MLB': ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
@@ -391,11 +393,19 @@ def create_position_export_dict(column_name, csv_file, site_var, type_var, sport
         
         # Create the export dictionary for this position
         if site_var == 'Draftkings':
-            filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Name'])
-            return dict(zip(filtered_df['Name'], filtered_df['Name + ID']))
+            try:
+                filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Name'])
+                return dict(zip(filtered_df['Name'], filtered_df['Name + ID']))
+            except:
+                filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Nickname'])
+                return dict(zip(filtered_df['Nickname'], filtered_df['Name + ID']))
         else:
-            filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Nickname'])
-            return dict(zip(filtered_df['Nickname'], filtered_df['Id']))
+            try:
+                filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Nickname'])
+                return dict(zip(filtered_df['Nickname'], filtered_df['Id']))
+            except:
+                filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Name'])
+                return dict(zip(filtered_df['Name'], filtered_df['Id']))
                 
     except Exception as e:
         st.error(f"Error creating position export dict for {column_name}: {str(e)}")