Refactor app.py to improve error handling for timestamp retrieval in NFL and NBA datasets. Enhanced the robustness of data processing by adding nested try-except blocks to ensure fallback options for missing timestamps, thereby preventing potential application crashes and improving data integrity.

app.py

@@ -76,17 +76,19 @@ def init_baselines():
         nfl_fd_sd_raw = raw_display.sort_values(by='Median', ascending=False)
     except:
         nfl_fd_sd_raw = pd.DataFrame()
-        
+    
+    
     try:
         nba_timestamp = nba_dk_sd_raw['timestamp'].values[0]
     except:
         nba_timestamp = nba_fd_sd_raw['timestamp'].values[0]
-    
     try:
-        nfl_dk_timestamp = nfl_dk_sd_raw['timestamp'].values[0]
+        try:
+            nfl_dk_timestamp = nfl_dk_sd_raw['timestamp'].values[0]
+        except:
+            nfl_dk_timestamp = nfl_fd_sd_raw['timestamp'].values[0]
     except:
-        nfl_dk_timestamp = nfl_fd_sd_raw['timestamp'].values[0]
-
+        pass
     try:
         nba_dk_id_dict = dict(zip(nba_dk_sd_raw['Player'], nba_dk_sd_raw['player_id']))
         nfl_dk_id_dict = dict(zip(nfl_dk_sd_raw['Player'], nfl_dk_sd_raw['player_id']))