added functionality for id exporting with the optimals

app.py

@@ -104,7 +104,7 @@ def load_overall_stats():
 
     raw_display = pd.DataFrame(list(cursor))
     raw_display = raw_display[['Player', 'Minutes Proj', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '4x%', '5x%', '6x%', 'GPP%',
-                               'Own', 'Small_Own', 'Large_Own', 'Cash_Own', 'CPT_Own', 'LevX', 'ValX', 'site', 'version', 'slate', 'timestamp']]
+                               'Own', 'Small_Own', 'Large_Own', 'Cash_Own', 'CPT_Own', 'LevX', 'ValX', 'site', 'version', 'slate', 'timestamp', 'player_ID']]
     raw_display = raw_display.loc[raw_display['Median'] > 0]
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
     roo_raw = raw_display.sort_values(by='Median', ascending=False)
@@ -155,6 +155,7 @@ def convert_df(array):
     return array.to_csv().encode('utf-8')
 
 dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp, roo_backlog = load_overall_stats()
+
 try:
     dk_lineups = init_DK_lineups()
     fd_lineups = init_FD_lineups()
@@ -269,6 +270,7 @@ with tab1:
         if st.button("Load/Reset Data", key='reset1'):
             st.cache_data.clear()
             dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp, roo_backlog = load_overall_stats()
+            id_dict = dict(zip(roo_raw.Player, roo_raw.player_ID))
             dk_lineups = init_DK_lineups()
             fd_lineups = init_FD_lineups()
             t_stamp = f"Last Update: " + str(timestamp) + f" CST"
@@ -315,6 +317,8 @@ with tab1:
         elif view_var2 == 'Simple':
             display_proj = display_proj[['Player', 'Team', 'Position', 'Median', 'GPP%', 'ValX']]
         export_data = display_proj.copy()
+
+
         display_proj = display_proj.set_index('Player')
         st.session_state.display_proj = display_proj
             
@@ -355,6 +359,7 @@ with tab2:
 
         if site_var1 == 'Draftkings':
             raw_baselines = dk_raw
+            id_dict = dict(zip(raw_baselines.Player, raw_baselines.player_ID))
             # Get the minimum and maximum ownership values from dk_lineups
             min_own = np.min(dk_lineups[:,14])
             max_own = np.max(dk_lineups[:,14])
@@ -368,6 +373,7 @@ with tab2:
                     
         elif site_var1 == 'Fanduel':
             raw_baselines = fd_raw
+            id_dict = dict(zip(raw_baselines.Player, raw_baselines.player_ID))
             min_own = np.min(fd_lineups[:,15])
             max_own = np.max(fd_lineups[:,15])
             column_names = fd_columns
@@ -380,6 +386,12 @@ with tab2:
 
         if st.button("Prepare data export", key='data_export'):
             data_export = st.session_state.working_seed.copy()
+            if site_var1 == 'Draftkings':
+                for col in data_export.iloc[:, 0:8].columns:
+                    data_export[col] = data_export[col].map(id_dict)
+            elif site_var1 == 'Fanduel':
+                for col in data_export.iloc[:, 0:9].columns:
+                    data_export[col] = data_export[col].map(id_dict)
             st.download_button(
                 label="Export optimals set",
                 data=convert_df(data_export),