Refactor app.py to replace MongoDB data retrieval with Google Sheets API calls for the Game_Betting_Model. Commented out legacy MongoDB code and updated data processing to align with the new data source.

app.py

@@ -88,14 +88,19 @@ def init_baselines():
         hitter_stats['Hits + Runs + RBIs'] = hitter_stats['Hits'] + hitter_stats['Runs'] + hitter_stats['RBIs']
         hitter_stats = hitter_stats.drop_duplicates(subset='Player')
         
-        collection = db['Game_Betting_Model']
-        cursor = collection.find()
-        raw_display = pd.DataFrame(cursor)
+        # collection = db['Game_Betting_Model']
+        # cursor = collection.find()
+        # raw_display = pd.DataFrame(cursor)
+        # team_frame = raw_display.drop_duplicates(subset='Names')
+        # team_frame['Win Percentage'] = team_frame['Win Percentage'].str.replace('%', '').astype('float')/100
+        # team_frame['Cover Spread Percentage'] = team_frame['Cover Spread Percentage'].str.replace('%', '').astype('float')/100
+        # team_frame['ML_Value'] = team_frame['ML_Value'].str.replace('%', '').astype('float')/100
+        # team_frame['Spread_Value'] = team_frame['Spread_Value'].str.replace('%', '').astype('float')/100
+
+        sh = gc.open_by_url(master_hold)
+        worksheet = sh.worksheet('Game_Betting_Model')
+        raw_display = pd.DataFrame(worksheet.get_all_records())
         team_frame = raw_display.drop_duplicates(subset='Names')
-        team_frame['Win Percentage'] = team_frame['Win Percentage'].str.replace('%', '').astype('float')/100
-        team_frame['Cover Spread Percentage'] = team_frame['Cover Spread Percentage'].str.replace('%', '').astype('float')/100
-        team_frame['ML_Value'] = team_frame['ML_Value'].str.replace('%', '').astype('float')/100
-        team_frame['Spread_Value'] = team_frame['Spread_Value'].str.replace('%', '').astype('float')/100
         
         sh = gc.open_by_url(master_hold)
         worksheet = sh.worksheet('prop_frame')