Update player name reference in seed frame initialization functions

Changed the player name reference from 'Name' to 'Player' in the seed frame initialization functions for DraftKings and FanDuel. This adjustment ensures consistency with the data structure and improves the accuracy of player data retrieval. Additionally, removed redundant player validation calls from the lineup processing section to streamline the code.

app.py

@@ -63,7 +63,7 @@ def init_DK_seed_frames(load_size):
         # Get the valid players from the Range of Outcomes collection
         collection = db["Player_Range_Of_Outcomes"]
         cursor = collection.find({"site": "Draftkings", "slate": "Main Slate"})
-        valid_players = set(pd.DataFrame(list(cursor))['Name'].unique())
+        valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
     
         collection = db["DK_NBA_seed_frame"] 
         cursor = collection.find().limit(load_size)
@@ -94,7 +94,7 @@ def init_DK_secondary_seed_frames(load_size):
         # Get the valid players from the Range of Outcomes collection
         collection = db["Player_Range_Of_Outcomes"]
         cursor = collection.find({"site": "Draftkings", "slate": "Secondary Slate"})
-        valid_players = set(pd.DataFrame(list(cursor))['Name'].unique())
+        valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
     
         collection = db["DK_NBA_Secondary_seed_frame"] 
         cursor = collection.find().limit(load_size)
@@ -125,7 +125,7 @@ def init_FD_seed_frames(load_size):
         # Get the valid players from the Range of Outcomes collection
         collection = db["Player_Range_Of_Outcomes"]
         cursor = collection.find({"site": "Fanduel", "slate": "Main Slate"})
-        valid_players = set(pd.DataFrame(list(cursor))['Name'].unique())
+        valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
     
         collection = db["FD_NBA_seed_frame"] 
         cursor = collection.find().limit(load_size)
@@ -156,7 +156,7 @@ def init_FD_secondary_seed_frames(load_size):
         # Get the valid players from the Range of Outcomes collection
         collection = db["Player_Range_Of_Outcomes"]
         cursor = collection.find({"site": "Fanduel", "slate": "Secondary Slate"})
-        valid_players = set(pd.DataFrame(list(cursor))['Name'].unique())
+        valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
     
         collection = db["FD_NBA_Secondary_seed_frame"] 
         cursor = collection.find().limit(load_size)
@@ -297,11 +297,6 @@ with tab1:
                 dk_id_dict = dict(zip(dk_raw.Player, dk_raw.player_id))
                 fd_id_dict = dict(zip(fd_raw.Player, fd_raw.player_id))
 
-                DK_seed = validate_lineup_players(DK_seed, set(dk_raw.Player), ['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'FLEX'])
-                FD_seed = validate_lineup_players(FD_seed, set(fd_raw.Player), ['PG1', 'PG2', 'SG1', 'SG2', 'SF1', 'SF2', 'PF1', 'PF2', 'C1'])
-                DK_secondary = validate_lineup_players(DK_secondary, set(dk_secondary.Player), ['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'FLEX'])
-                FD_secondary = validate_lineup_players(FD_secondary, set(fd_secondary.Player), ['PG1', 'PG2', 'SG1', 'SG2', 'SF1', 'SF2', 'PF1', 'PF2', 'C1'])
-
         sim_slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Secondary Slate'), key='sim_slate_var1')
         sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')