Refactor app.py: Removed unused CSS styling and validation steps for player lineups; adjusted indexing for team and stack filtering based on site selection.

app.py

@@ -20,34 +20,6 @@ freq_format = {'Exposure': '{:.2%}', 'Proj Own': '{:.2%}', 'Edge': '{:.2%}'}
 dk_columns = ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']
 fd_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']
 
-st.markdown("""
-<style>
-    /* Tab styling */
-    .stTabs [data-baseweb="tab-list"] {
-        gap: 8px;
-        padding: 4px;
-    }
-    .stTabs [data-baseweb="tab"] {
-        height: 50px;
-        white-space: pre-wrap;
-        background-color: #FFD700;
-        color: white;
-        border-radius: 10px;
-        gap: 1px;
-        padding: 10px 20px;
-        font-weight: bold;
-        transition: all 0.3s ease;
-    }
-    .stTabs [aria-selected="true"] {
-        background-color: #DAA520;
-        color: white;
-    }
-    .stTabs [data-baseweb="tab"]:hover {
-        background-color: #DAA520;
-        cursor: pointer;
-    }
-</style>""", unsafe_allow_html=True)
-
 @st.cache_data(ttl = 60)
 def init_DK_seed_frames(sharp_split):  
         
@@ -69,12 +41,6 @@ def init_DK_seed_frames(sharp_split):
         dict_columns = ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
         # Map names
         raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
-        
-        # Validate lineups against valid players
-        raw_display = validate_lineup_players(raw_display, valid_players, dict_columns)
-        
-        # Remove any remaining NaN values
-        raw_display = raw_display.dropna()
         DK_seed = raw_display.to_numpy()
 
         return DK_seed
@@ -101,9 +67,6 @@ def init_DK_secondary_seed_frames(sharp_split):
         # Map names
         raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
         
-        # Validate lineups against valid players
-        raw_display = validate_lineup_players(raw_display, valid_players, dict_columns)
-        
         # Remove any remaining NaN values
         raw_display = raw_display.dropna()
         DK_seed = raw_display.to_numpy()
@@ -128,13 +91,10 @@ def init_FD_seed_frames(sharp_split):
     
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
-        dict_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL']
+        dict_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
         # Map names
         raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
         
-        # Validate lineups against valid players
-        raw_display = validate_lineup_players(raw_display, valid_players, dict_columns)
-        
         # Remove any remaining NaN values
         raw_display = raw_display.dropna()
         FD_seed = raw_display.to_numpy()
@@ -159,13 +119,10 @@ def init_FD_secondary_seed_frames(sharp_split):
     
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
-        dict_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL']
+        dict_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
         # Map names
         raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
         
-        # Validate lineups against valid players
-        raw_display = validate_lineup_players(raw_display, valid_players, dict_columns)
-        
         # Remove any remaining NaN values
         raw_display = raw_display.dropna()
         FD_seed = raw_display.to_numpy()
@@ -683,8 +640,12 @@ with tab2:
 
         if st.button("Prepare data export", key='data_export'):
                 if 'working_seed' in st.session_state:
-                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
-                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 10], stack_var2)]
+                    if site_var1 == 'Draftkings':
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], team_var2)]
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 13], stack_var2)]
+                    elif site_var1 == 'Fanduel':
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                     st.session_state.data_export_display = st.session_state.working_seed[0:lineup_num_var]
                 elif 'working_seed' not in st.session_state:
                     if site_var1 == 'Draftkings':
@@ -714,8 +675,12 @@ with tab2:
                             fd_id_dict = dict(zip(fd_raw.Player, fd_raw.player_id))
                             raw_baselines = fd_raw
                             column_names = fd_columns
-                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
-                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 10], stack_var2)]
+                    if site_var1 == 'Draftkings':
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], team_var2)]
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 13], stack_var2)]
+                    elif site_var1 == 'Fanduel':
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
+                        st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                     st.session_state.data_export_display = st.session_state.working_seed[0:lineup_num_var]
                 data_export = st.session_state.working_seed.copy()
                 st.download_button(
@@ -730,8 +695,12 @@ with tab2:
     if st.button("Load Data", key='load_data'):
         if site_var1 == 'Draftkings':
             if 'working_seed' in st.session_state:
-                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
-                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 10], stack_var2)]
+                if site_var1 == 'Draftkings':
+                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], team_var2)]
+                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 13], stack_var2)]
+                elif site_var1 == 'Fanduel':
+                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
+                    st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
             elif 'working_seed' not in st.session_state:
                 if slate_var1 == 'Main Slate':
@@ -741,14 +710,14 @@ with tab2:
                     raw_baselines = dk_raw
                     column_names = dk_columns
             
-                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
-                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 10], stack_var2)]
+                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], team_var2)]
+                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 13], stack_var2)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
             
         elif site_var1 == 'Fanduel':
             if 'working_seed' in st.session_state:
                 st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
-                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 10], stack_var2)]
+                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
             elif 'working_seed' not in st.session_state:
                 if slate_var1 == 'Main Slate':
@@ -758,7 +727,7 @@ with tab2:
                     raw_baselines = fd_raw
                     column_names = fd_columns
                 st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
-                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 10], stack_var2)]
+                st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
             
     with st.container():