kermitting soon

util/helper.py

@@ -908,11 +908,6 @@ def calculate_champion_loyalty(df):
     
     def get_loyalty_scores(row):
         try:
-            # Convert potentially non-numeric values to numbers !!!!!!!!!!!!!! chatGPT EDITED 
-            # row['W_1'] = pd.to_numeric(row['W_1'], errors='coerce') if 'W_1' in row else 0
-            # row['L_1'] = pd.to_numeric(row['L_1'], errors='coerce') if 'L_1' in row else 0
-            # row['W_2'] = pd.to_numeric(row['W_2'], errors='coerce') if 'W_2' in row else 0
-            # row['L_2'] = pd.to_numeric(row['L_2'], errors='coerce') if 'L_2' in row else 0
 
             # Get champions lists, handle potential NaN/None values (only top 2)
             recent_champs = [
@@ -956,18 +951,21 @@ def calculate_champion_loyalty(df):
             print(f"row['W_1'] value: {repr(row['W_1'])}, type: {type(row['W_1'])}")
             print(f"row['L_1'] value: {repr(row['L_1'])}, type: {type(row['L_1'])}")
 
-            print(".... END calculate games played for recent champions (only top 2)\n")
+            print(".... END calculate games played for recent champions (only top 2)\n \n \n")
 
             recent_games = [
                 (int(row['W_1']) + int(row['L_1'])) if pd.notna(row['most_champ_1']) else 0,
                 (int(row['W_2']) + int(row['L_2'])) if pd.notna(row['most_champ_2']) else 0
             ]
+
             print(f"recent_games was: {recent_games}, types: {[type(x) for x in recent_games]}")
             
-            print("Summing recent games... \n")
+            print("\n \n Summing recent games... \n")
             total_recent_games = sum(recent_games)
+            print("total_recent_games: ", total_recent_games, "\n")
             total_season_games = sum(season_games)
-            print("End of summing recent games... \n Total recent_games = ", total_recent_games, "\n total_season_games: ", total_season_games, "\n")
+            print("total_season_games: ", total_season_games, "\n")
+            print("End of summing recent games... \n Total recent_games = ", total_recent_games, "\n total_season_games: ", total_season_games, "\n \n \n")
             
             if total_recent_games == 0:
                 return {