wrong collection

database_queries.py

@@ -1238,7 +1238,7 @@ def init_mma_baselines(type_var: str, site_var: str, slate_var: str):
         slate_var = 'Late Slate'
 
     if type_var == 'Showdown':
-        collection = nhl_db["Player_Level_SD_ROO"]
+        collection = mma_db["Player_Level_SD_ROO"]
         cursor = collection.find()
 
         raw_display = pd.DataFrame(list(cursor))
@@ -1267,7 +1267,7 @@ def init_mma_baselines(type_var: str, site_var: str, slate_var: str):
         fd_id_map = None
 
     else:
-        collection = nhl_db["Player_Level_ROO"]
+        collection = mma_db["Player_Level_ROO"]
         cursor = collection.find()
 
         raw_display = pd.DataFrame(list(cursor))
@@ -1303,12 +1303,12 @@ def init_DK_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
     
     if type_var == 'Classic':
         if slate_var == 'Main':
-            collection = nhl_db['DK_MMA_name_map']
+            collection = mma_db['DK_MMA_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
-            collection = nhl_db['DK_MMA_seed_frame_Main Slate']
+            collection = mma_db['DK_MMA_seed_frame_Main Slate']
             if prio_var == None:
                 if player_var2 != []:
                     player_columns = ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6']
@@ -1343,12 +1343,12 @@ def init_DK_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
             # Map names
             raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
         elif slate_var == 'Secondary':
-            collection = nhl_db['DK_MMA_Secondary_name_map']
+            collection = mma_db['DK_MMA_Secondary_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
             
-            collection = nhl_db['DK_MMA_seed_frame_Secondary Slate']
+            collection = mma_db['DK_MMA_seed_frame_Secondary Slate']
             if prio_var == None:
                 if player_var2 != []:
                     player_columns = ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6']
@@ -1383,12 +1383,12 @@ def init_DK_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
             # Map names
             raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
         elif slate_var == 'Auxiliary':
-            collection = nhl_db['DK_MMA_Late_name_map']
+            collection = mma_db['DK_MMA_Late_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
             
-            collection = nhl_db['DK_MMA_seed_frame_Late Slate']
+            collection = mma_db['DK_MMA_seed_frame_Late Slate']
             if prio_var == None:
                 if player_var2 != []:
                     player_columns = ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6']
@@ -1423,7 +1423,7 @@ def init_DK_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
             # Map names
             raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
     elif type_var == 'Showdown':
-        collection = nhl_db[mma_db_translation[slate_var]]
+        collection = mma_db[mma_db_translation[slate_var]]
         if prio_var == None:
             if player_var2 != []:
                 player_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']
@@ -1466,13 +1466,13 @@ def init_FD_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
     
     if type_var == 'Classic':
         if slate_var == 'Main':
-            collection = nhl_db['FD_MMA_name_map']
+            collection = mma_db['FD_MMA_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
 
-            collection = nhl_db['FD_MMA_seed_frame_Main Slate']
+            collection = mma_db['FD_MMA_seed_frame_Main Slate']
             if prio_var == None:
                 if player_var2 != []:
                     player_columns = ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6']
@@ -1507,12 +1507,12 @@ def init_FD_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
             # Map names
             raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
         elif slate_var == 'Secondary':
-            collection = nhl_db['FD_MMA_Secondary_name_map']
+            collection = mma_db['FD_MMA_Secondary_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
-            collection = nhl_db['FD_MMA_Secondary_seed_frame_Secondary Slate']
+            collection = mma_db['FD_MMA_Secondary_seed_frame_Secondary Slate']
             if prio_var == None:
                 if player_var2 != []:
                     player_columns = ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6']
@@ -1547,12 +1547,12 @@ def init_FD_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
             # Map names
             raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
         elif slate_var == 'Auxiliary':
-            collection = nhl_db['FD_MMA_Late_name_map']
+            collection = mma_db['FD_MMA_Late_name_map']
             cursor = collection.find()
             raw_data = pd.DataFrame(list(cursor))
             names_dict = dict(zip(raw_data['key'], raw_data['value']))
 
-            collection = nhl_db['FD_MMA_Late_seed_frame_Late Slate']
+            collection = mma_db['FD_MMA_Late_seed_frame_Late Slate']
             if prio_var == None:
                 if player_var2 != []:
                     player_columns = ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6']
@@ -1588,7 +1588,7 @@ def init_FD_MMA_lineups(type_var, slate_var, prio_var, prio_mix, mma_db_translat
             raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
 
     elif type_var == 'Showdown':
-        collection = nhl_db[mma_db_translation[slate_var]]
+        collection = mma_db[mma_db_translation[slate_var]]
         if prio_var == None:
             if player_var2 != []:
                 player_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']