Add debug prints to grab_contest_data for improved traceability

- Introduced print statements to display examples of lineup_hash, player_ids, and formatted results, aiding in debugging and understanding data transformations.
- Enhanced visibility of player ID mappings by printing the first three entries of pid_map, facilitating easier verification of data integrity.
- These changes support ongoing efforts to improve data handling and user experience within the application.

global_func/grab_contest_data.py

@@ -14,16 +14,22 @@ def grab_contest_data(sport, contest_name, contest_id_map, contest_date):
         # Remove the leading colon and split by the remaining colons
         player_ids = lineup_hash.lstrip(':').split(':')
         
+        # Print example of what we're working with
+        print(f"Example lineup_hash: {lineup_hash}")
+        print(f"Split player_ids: {player_ids}")
+        
         # Check if the number of IDs matches the number of positions
         if len(player_ids) != len(positions):
             print(f"Warning: Mismatch for hash {lineup_hash}. IDs: {len(player_ids)}, Positions: {len(positions)}")
             return lineup_hash
 
-        # Combine positions and player IDs, ensuring spaces around player IDs
-        combined_parts = [f"{pos}{pid} " for pos, pid in zip(positions, player_ids)]
+        # Combine positions and player IDs
+        combined_parts = [pos + pid for pos, pid in zip(positions, player_ids)]
+        result = "".join(combined_parts)
         
-        # Join them into a single string and strip trailing space
-        return "".join(combined_parts).rstrip()
+        # Print example of the result
+        print(f"Formatted result: {result}")
+        return result
 
     lineups_json = requests.get(lineups_url).json()
     data_json = requests.get(data_url).json()
@@ -47,6 +53,10 @@ def grab_contest_data(sport, contest_name, contest_id_map, contest_date):
     players_df = players_df.sort_values(by='ownership', ascending=False).reset_index(drop=True)
     players_df = players_df.rename(columns={'fullName': 'Player', 'rosterPosition': 'Roster Position', 'ownership': '%Drafted', 'actualPoints': 'FPTS', 'salary': 'Salary', 'currentTeam': 'Team'})
     pid_map = dict(zip(players_df['playerId'].astype(str).apply(lambda x: f" {x} "), players_df['Player']))
+    print("Example pid_map entries:")
+    for i, (pid, name) in enumerate(pid_map.items()):
+        if i < 3:  # Print first 3 entries
+            print(f"ID: '{pid}' -> Name: '{name}'")
 
     for lineup_hash, lineup_info in lineups_json['lineups'].items():
         lineup_data.append({
@@ -65,7 +75,12 @@ def grab_contest_data(sport, contest_name, contest_id_map, contest_date):
     lineups_df = lineups_df.rename(columns={'index': 'Rank', 'points': 'Points', 'entryNameList': 'EntryName', 'lineupHash': 'Lineup'})
     lineups_df['EntryName'] = lineups_df['EntryName'] + ' (1/1)'
     lineups_df['Lineup'] = lineups_df['Lineup'].apply(lambda x: format_lineup_string(x, position_inserts))
+    # Print example before and after replacement
+    print("\nExample before replacement:")
+    print(lineups_df['Lineup'].iloc[0])
     lineups_df['Lineup'] = lineups_df['Lineup'].replace(pid_map, regex=False)
+    print("\nExample after replacement:")
+    print(lineups_df['Lineup'].iloc[0])
     lineups_df = lineups_df[['Rank', 'EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup']]
 
     total_data = lineups_df.merge(players_df, how='left', left_index=True, right_index=True)