Add auxiliary seed frame functions for NFL and NBA in app.py

This commit introduces two new functions, init_DK_auxiliary_seed_frames and init_FD_auxiliary_seed_frames, to retrieve and process auxiliary seed data for DraftKings and FanDuel, respectively. The functions include caching for performance optimization and enhance the data handling capabilities by allowing users to select 'Auxiliary Showdown' in the UI. This change improves the overall functionality and flexibility of the application for contest simulations.

app.py

@@ -87,6 +87,23 @@ def init_DK_secondary_seed_frames(sport):
         DK_second_seed = raw_display.to_numpy()
 
         return DK_second_seed
+
+@st.cache_data(ttl = 599)
+def init_DK_auxiliary_seed_frames(sport):  
+        
+        if sport == 'NFL':
+            db = client["NFL_Database"]
+        elif sport == 'NBA':
+            db = client["NBA_DFS"]
+    
+        collection = db[f"DK_{sport}_Auxiliary_SD_seed_frame"] 
+        cursor = collection.find()
+    
+        raw_display = pd.DataFrame(list(cursor))
+        raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
+        DK_auxiliary_seed = raw_display.to_numpy()
+
+        return DK_auxiliary_seed
     
 @st.cache_data(ttl = 599)
 def init_FD_seed_frames(sport):  
@@ -122,6 +139,23 @@ def init_FD_secondary_seed_frames(sport):
 
         return FD_second_seed
 
+@st.cache_data(ttl = 599)
+def init_FD_auxiliary_seed_frames(sport):  
+        
+        if sport == 'NFL':
+            db = client["NFL_Database"]
+        elif sport == 'NBA':
+            db = client["NBA_DFS"]
+    
+        collection = db[f"FD_{sport}_Auxiliary_SD_seed_frame"] 
+        cursor = collection.find()
+    
+        raw_display = pd.DataFrame(list(cursor))
+        raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
+        FD_auxiliary_seed = raw_display.to_numpy()
+
+        return FD_auxiliary_seed
+
 @st.cache_data(ttl = 599)
 def init_baselines(sport):
     if sport == 'NFL':
@@ -263,7 +297,7 @@ with tab2:
         
         sport_var1 = st.radio("What sport are you working with?", ('NFL', 'NBA'), key='sport_var1')
         dk_raw, fd_raw = init_baselines(sport_var1)
-        slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown'), key='slate_var1')
+        slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown', 'Auxiliary Showdown'), key='slate_var1')
             
         site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='site_var1')
         if site_var1 == 'Draftkings':
@@ -279,6 +313,12 @@ with tab2:
                     export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
                 elif sport_var1 == 'NBA':
                     export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
+            elif slate_var1 == 'Auxiliary Showdown':
+                DK_seed = init_DK_auxiliary_seed_frames(sport_var1)
+                if sport_var1 == 'NFL':
+                    export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
+                elif sport_var1 == 'NBA':
+                    export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
             raw_baselines = dk_raw
             column_names = dk_columns
             
@@ -307,6 +347,12 @@ with tab2:
                     export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
                 elif sport_var1 == 'NBA':
                     export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
+            elif slate_var1 == 'Auxiliary Showdown':
+                FD_seed = init_FD_auxiliary_seed_frames(sport_var1)
+                if sport_var1 == 'NFL':
+                    export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
+                elif sport_var1 == 'NBA':
+                    export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
             raw_baselines = fd_raw
             column_names = fd_columns
             
@@ -371,7 +417,7 @@ with tab1:
               dk_raw, fd_raw = init_baselines('NFL')
         sim_sport_var1 = st.radio("What sport are you working with?", ('NFL', 'NBA'), key='sim_sport_var1')
         dk_raw, fd_raw = init_baselines(sim_sport_var1)
-        sim_slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown'), key='sim_slate_var1')
+        sim_slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown', 'Auxiliary Showdown'), key='sim_slate_var1')
         sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')
         if sim_site_var1 == 'Draftkings':
             if sim_slate_var1 == 'Showdown':
@@ -386,6 +432,12 @@ with tab1:
                     export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
                 elif sport_var1 == 'NBA':
                     export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
+            elif sim_slate_var1 == 'Auxiliary Showdown':
+                DK_seed = init_DK_auxiliary_seed_frames(sim_sport_var1)
+                if sport_var1 == 'NFL':
+                    export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
+                elif sport_var1 == 'NBA':
+                    export_id_dict = dict(zip(dk_raw['Player'], dk_raw['player_id']))
             raw_baselines = dk_raw
             column_names = dk_columns
         elif sim_site_var1 == 'Fanduel':
@@ -401,6 +453,12 @@ with tab1:
                     export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
                 elif sport_var1 == 'NBA':
                     export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
+            elif sim_slate_var1 == 'Auxiliary Showdown':
+                FD_seed = init_FD_auxiliary_seed_frames(sim_sport_var1)
+                if sport_var1 == 'NFL':
+                    export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
+                elif sport_var1 == 'NBA':
+                    export_id_dict = dict(zip(fd_raw['Player'], fd_raw['player_id']))
             raw_baselines = fd_raw
             column_names = fd_columns