Enhance app.py with error handling for database queries and data retrieval. Added try-except blocks to ensure robustness when fetching player data from NFL and NBA datasets, preventing application crashes due to missing data. This update improves data integrity and user experience by providing fallback options for empty datasets.

app.py

@@ -51,25 +51,32 @@ def init_baselines():
     nba_dk_sd_raw = raw_display[raw_display['site'] == 'Draftkings']
     nba_fd_sd_raw = raw_display[raw_display['site'] == 'Fanduel']
     
-    collection = nfl_db["DK_SD_NFL_ROO"] 
-    cursor = collection.find()
+    try:
+        collection = nfl_db["DK_SD_NFL_ROO"] 
+        cursor = collection.find()
 
-    raw_display = pd.DataFrame(list(cursor))
-    raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
-                               'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-    raw_display = raw_display.loc[raw_display['Median'] > 0]
-    raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
-    nfl_dk_sd_raw = raw_display.sort_values(by='Median', ascending=False)
+        raw_display = pd.DataFrame(list(cursor))
+        raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
+                                'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
+        raw_display = raw_display.loc[raw_display['Median'] > 0]
+        raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
+        nfl_dk_sd_raw = raw_display.sort_values(by='Median', ascending=False)
+    except:
+        nfl_dk_sd_raw = pd.DataFrame()
     
-    collection = nfl_db["FD_SD_NFL_ROO"] 
-    cursor = collection.find()
+    try:
+        collection = nfl_db["FD_SD_NFL_ROO"] 
+        cursor = collection.find()
 
-    raw_display = pd.DataFrame(list(cursor))
-    raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
-                               'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-    raw_display = raw_display.loc[raw_display['Median'] > 0]
-    raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
-    nfl_fd_sd_raw = raw_display.sort_values(by='Median', ascending=False)
+        raw_display = pd.DataFrame(list(cursor))
+        raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
+                                'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
+        raw_display = raw_display.loc[raw_display['Median'] > 0]
+        raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
+        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:
@@ -80,10 +87,16 @@ def init_baselines():
     except:
         nfl_dk_timestamp = nfl_fd_sd_raw['timestamp'].values[0]
 
-    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']))
-    nba_fd_id_dict = dict(zip(nba_fd_sd_raw['Player'], nba_fd_sd_raw['player_id']))
-    nfl_fd_id_dict = dict(zip(nfl_fd_sd_raw['Player'], nfl_fd_sd_raw['player_id']))
+    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']))
+        nba_fd_id_dict = dict(zip(nba_fd_sd_raw['Player'], nba_fd_sd_raw['player_id']))
+        nfl_fd_id_dict = dict(zip(nfl_fd_sd_raw['Player'], nfl_fd_sd_raw['player_id']))
+    except:
+        nba_dk_id_dict = dict(zip(nba_dk_sd_raw['Player'], nba_dk_sd_raw['player_id']))
+        nfl_dk_id_dict = dict()
+        nba_fd_id_dict = dict(zip(nba_fd_sd_raw['Player'], nba_fd_sd_raw['player_id']))
+        nfl_fd_id_dict = dict()
     
     return nba_dk_sd_raw, nba_fd_sd_raw, nfl_dk_sd_raw, nfl_fd_sd_raw, nba_timestamp, nfl_dk_timestamp, nba_dk_id_dict, nfl_dk_id_dict, nba_fd_id_dict, nfl_fd_id_dict