explicitly defined all columns

src/streamlit_app.py

@@ -313,8 +313,8 @@ def get_unique_key(prefix, base_key):
     st.session_state[f"{prefix}_{base_key}"] += 1
     return f"{prefix}_{base_key}_{st.session_state[f'{prefix}_{base_key}']}"
 
-col1, col2 = st.columns([1, 9])
-with col1:
+app_load_reset_column, app_view_site_column = st.columns([1, 9])
+with app_load_reset_column:
     if st.button("Load/Reset Data", key='reset_data_button'):
         st.cache_data.clear()
         player_stats, dk_stacks_raw, fd_stacks_raw, dk_roo_raw, fd_roo_raw, dk_sd_roo_raw, fd_sd_roo_raw, dk_id_map, fd_id_map, dk_sd_id_map, fd_sd_id_map = init_baselines()
@@ -322,12 +322,12 @@ with col1:
         fd_lineups = init_FD_lineups('Regular', 'Main')
         for key in st.session_state.keys():
             del st.session_state[key]
-with col2:
+with app_view_site_column:
     with st.container():
-        col1, col2 = st.columns([3, 3])
-        with col1:
+        app_view_column, app_site_column = st.columns([3, 3])
+        with app_view_column:
             view_var = st.selectbox("Select view", ["Simple", "Advanced"], key='view_selectbox')
-        with col2:
+        with app_site_column:
             site_var = st.selectbox("What site do you want to view?", ('Draftkings', 'Fanduel'), key='site_selectbox')
 
 player_stats, dk_stacks_raw, fd_stacks_raw, dk_roo_raw, fd_roo_raw, dk_sd_roo_raw, fd_sd_roo_raw, dk_id_map, fd_id_map, dk_sd_id_map, fd_sd_id_map = init_baselines()
@@ -438,8 +438,8 @@ with optimals_tab:
     st.header("Optimals")
     with st.expander("Info and Filters"):
         st.info("These filters will display various optimals in the table below to pick from. If you want to export the entire set of 10,000 optimals, hit the 'Prepare full data export' button. If you would like to apply the filters here to the 10,000 optimals before you export, use the 'Prepare full data export (Filter)' button.")
-        col1, col2, col3, col4 = st.columns(4)
-        with col1:
+        optimals_site_col, optimals_macro_col, optimals_salary_col, optimals_stacks_col = st.columns(4)
+        with optimals_site_col:
             slate_type_var3 = st.radio("Which slate type are you loading?", ('Regular', 'Showdown'), key='slate_type_var3_radio')
             if slate_type_var3 == 'Regular':
                 if site_var == 'Draftkings':
@@ -462,21 +462,21 @@ with optimals_tab:
                     dk_lineups = init_DK_lineups(slate_type_var3, slate_var3)
                 elif site_var == 'Fanduel':
                     fd_lineups = init_FD_lineups(slate_type_var3, slate_var3)
-        with col2:
+        with optimals_macro_col:
             lineup_num_var = st.number_input("How many lineups do you want to display?", min_value=1, max_value=1000, value=150, step=1, key='lineup_num_var_input')
             player_var1 = st.radio("Do you want a frame with specific Players?", ('Full Slate', 'Specific Players'), key='player_var1_radio')
             if player_var1 == 'Specific Players':
                 player_var2 = st.multiselect('Which players do you want?', options = raw_baselines['Player'].unique(), key='player_var2_multiselect')
             elif player_var1 == 'Full Slate':
                     player_var2 = raw_baselines.Player.values.tolist()
-        with col3:
+        with optimals_salary_col:
             if site_var == 'Draftkings':
                 salary_min_var = st.number_input("Minimum salary used", min_value = 0, max_value = 50000, value = 49000, step = 100, key = 'salary_min_var_dk')
                 salary_max_var = st.number_input("Maximum salary used", min_value = 0, max_value = 50000, value = 50000, step = 100, key = 'salary_max_var_dk')
             elif site_var == 'Fanduel':
                 salary_min_var = st.number_input("Minimum salary used", min_value = 0, max_value = 60000, value = 59000, step = 100, key = 'salary_min_var_fd')
                 salary_max_var = st.number_input("Maximum salary used", min_value = 0, max_value = 60000, value = 60000, step = 100, key = 'salary_max_var_fd')
-        with col4:
+        with optimals_stacks_col:
             if site_var == 'Draftkings':
                 min_stacks_var = st.number_input("Minimum stacks used", min_value = 0, max_value = 5, value = 1, step = 1, key = 'min_stacks_var_dk')
                 max_stacks_var = st.number_input("Maximum stacks used", min_value = 0, max_value = 5, value = 5, step = 1, key = 'max_stacks_var_dk')
@@ -937,10 +937,10 @@ with optimals_tab:
                 )
 
 with handbuilder_tab:
-    col1, col2 = st.columns(2)
-    with col1:
+    handbuilder_header_column, handbuilder_slate_column = st.columns(2)
+    with handbuilder_header_column:
         st.header("Handbuilder")
-    with col2:
+    with handbuilder_slate_column:
         slate_var3 = st.selectbox("Slate Selection", options=['Main', 'Secondary', 'Auxiliary'], key='handbuilder_slate_selectbox')
         if site_var == 'Draftkings':
             if slate_var3 == 'Main':
@@ -995,10 +995,10 @@ with handbuilder_tab:
 
     # --- PLAYER FILTERS ---
     with st.expander("Player Filters"):
-        col1, col2 = st.columns(2)
-        with col1:
+        handbuilder_player_filters_column, handbuilder_player_filters_salary_column = st.columns(2)
+        with handbuilder_player_filters_column:
             pos_select3 = st.multiselect("Select your position(s)", options=['QB', 'RB', 'WR', 'TE', 'UTIL', 'DST'], key='pos_select3_multiselect')
-        with col2:
+        with handbuilder_player_filters_salary_column:
             salary_var = st.number_input("Salary Max", min_value = 0, max_value = 20000, value = 20000, step = 100, key='handbuilder_salary_max_input')
 
     # --- TEAM FILTER UI ---
@@ -1132,8 +1132,8 @@ with handbuilder_tab:
     # player_select_df = player_select_df[player_select_df.apply(is_player_eligible, axis=1)]
     print(player_select_df.head(10))
 
-    col1, col2 = st.columns([1, 2])
-    with col2:
+    handbuilder_lineup_build_column, handbuilder_player_select_column = st.columns([1, 2])
+    with handbuilder_player_select_column:
         st.subheader("Player Select")
         event = st.dataframe(
             player_select_df.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').background_gradient(cmap='RdYlGn_r', subset=['Salary', 'Own']).format(precision=2),
@@ -1174,7 +1174,7 @@ with handbuilder_tab:
                 st.rerun()
 
 
-    with col1:
+    with handbuilder_lineup_build_column:
         st.subheader("Lineup Build")
 
         # --- EXPLICIT LINEUP ORDER ---
@@ -1258,9 +1258,9 @@ with handbuilder_tab:
             })
             summary_row = summary_row[['Salary', 'Median', 'Own']].head(max_players)
             
-            col1, col3 = st.columns([2, 3])
+            handbuilder_lineup_build_salary_column, handbuilder_lineup_build_median_column = st.columns([2, 3])
 
-            with col1:
+            with handbuilder_lineup_build_salary_column:
                 if (max_players - len(filled_lineup)) > 0:
                     st.markdown(f"""
                             <div style='text-align: left; vertical-align: top; margin-top: 0; padding-top: 0;''>
@@ -1276,7 +1276,7 @@ with handbuilder_tab:
                             """,
                             unsafe_allow_html=True)
 
-            with col3:
+            with handbuilder_lineup_build_median_column:
                 if total_salary <= max_salary:
                     st.markdown(
                         f"""