Refactor app.py to switch data retrieval from Google Sheets API to MongoDB for 'Prop_Trends' and 'Pick6_Trends', enhancing data processing efficiency while maintaining existing functionality.

app.py

@@ -93,19 +93,21 @@ def init_baselines():
         raw_display = pd.DataFrame(cursor)
         team_frame = raw_display.drop_duplicates(subset='Names')
         
-        sh = gc.open_by_url(master_hold)
-        worksheet = sh.worksheet('prop_frame')
-        raw_display = pd.DataFrame(worksheet.get_all_records())
+        collection = db['Prop_Trends']
+        cursor = collection.find()
+        raw_display = pd.DataFrame(cursor)
         raw_display.replace('', np.nan, inplace=True)
         prop_frame = raw_display.dropna(subset='Team')
         
+        sh = gc.open_by_url(master_hold)
         worksheet = sh.worksheet('Prop_results')
         raw_display = pd.DataFrame(worksheet.get_all_records())
         raw_display.replace('', np.nan, inplace=True)
         betsheet_frame = raw_display.dropna(subset='proj')
         
-        worksheet = sh.worksheet('Pick6_ingest')
-        raw_display = pd.DataFrame(worksheet.get_all_records())
+        collection = db['Pick6_Trends']
+        cursor = collection.find()
+        raw_display = pd.DataFrame(cursor)
         raw_display.replace('', np.nan, inplace=True)
         pick_frame = raw_display.dropna(subset='Player')