Refactor app.py to improve FD seed frame initialization by removing unnecessary table displays and adding a mapping for player names using a dictionary from the database. This enhances data handling and visibility during contest simulations, ensuring player names are correctly represented in the output DataFrame.

app.py

@@ -52,8 +52,6 @@ def init_FD_seed_frames(sharp_split):
     cursor = collection.find()
     raw_data = pd.DataFrame(list(cursor))
     names_dict = dict(zip(raw_data['key'], raw_data['value']))
-
-    st.table(names_dict)
     
     collection = db["FD_NFL_seed_frame"] 
     cursor = collection.find().limit(sharp_split)
@@ -70,12 +68,21 @@ def init_FD_seed_frames(sharp_split):
 
 @st.cache_data(ttl = 599)
 def init_FD_Secondary_seed_frames(sharp_split):  
+
+    collection = db['FD_Secondary_NFL_name_map']
+    cursor = collection.find()
+    raw_data = pd.DataFrame(list(cursor))
+    names_dict = dict(zip(raw_data['key'], raw_data['value']))
     
     collection = db["FD_NFL_Secondary_seed_frame"] 
     cursor = collection.find().limit(sharp_split)
 
     raw_display = pd.DataFrame(list(cursor))
     raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
+    dict_columns = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST']
+    st.write("converting names")
+    for col in dict_columns:
+        raw_display[col] = raw_display[col].map(names_dict)
     FD_seed = raw_display.to_numpy()
 
     return FD_seed
@@ -337,12 +344,10 @@ with tab1:
                         'Team_map':dict(zip(raw_baselines.Player,raw_baselines.Team)),
                         'STDev_map':dict(zip(raw_baselines.Player,raw_baselines.STDev))
                         }
-                st.table(pd.DataFrame(st.session_state.working_seed[:100], columns=column_names))
+                
                 Sim_Winners = sim_contest(1000, st.session_state.working_seed, st.session_state.maps_dict, Contest_Size)
                 Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners))
                 
-                
-                            
                 # Initial setup
                 Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners), columns=column_names + ['Fantasy'])
                 Sim_Winner_Frame['GPP_Proj'] = (Sim_Winner_Frame['proj'] + Sim_Winner_Frame['Fantasy']) / 2
@@ -388,7 +393,7 @@ with tab1:
                         'Team_map':dict(zip(raw_baselines.Player,raw_baselines.Team)),
                         'STDev_map':dict(zip(raw_baselines.Player,raw_baselines.STDev))
                         }
-                st.table(pd.DataFrame(st.session_state.working_seed[:100], columns=column_names))
+                
                 Sim_Winners = sim_contest(1000, st.session_state.working_seed, st.session_state.maps_dict, Contest_Size)
                 Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners))