Updated projections management to include default values of 0 for missing players and adjusted change detection to include team information.

app.py

@@ -1775,7 +1775,7 @@ if selected_tab == 'Projections Management':
                 missing_df = pd.DataFrame(missing_rows)
                 projections_editor_df = pd.concat([projections_editor_df, missing_df], ignore_index=True)
                 
-                st.info(f"📌 Found {len(missing_players)} player(s) in portfolio not in projections. They have been added below with default values.")
+                st.info(f"📌 Found {len(missing_players)} player(s) in portfolio not in projections. They have been added below with values of 0 for median, ownership, and captain ownership.")
         
         # Define column configuration for the data editor
         column_config = {
@@ -1791,7 +1791,6 @@ if selected_tab == 'Projections Management':
             ),
             'team': st.column_config.TextColumn(
                 'Team',
-                disabled=True,
                 width='small'
             ),
             'salary': st.column_config.NumberColumn(
@@ -1859,7 +1858,7 @@ if selected_tab == 'Projections Management':
         # Check for changes and update
         if not edited_df.equals(filtered_df):
             # Find which rows changed
-            changed_mask = ~(edited_df[['median', 'ownership', 'captain ownership']] == filtered_df[['median', 'ownership', 'captain ownership']]).all(axis=1)
+            changed_mask = ~(edited_df[['team', 'median', 'ownership', 'captain ownership']] == filtered_df[['team', 'median', 'ownership', 'captain ownership']]).all(axis=1)
             changed_rows = edited_df[changed_mask]
             
             if len(changed_rows) > 0:
@@ -1871,6 +1870,7 @@ if selected_tab == 'Projections Management':
                     orig_idx = st.session_state['projections_df'][st.session_state['projections_df']['player_names'] == player_name].index
                     if len(orig_idx) > 0:
                         # Player exists in projections_df - update existing row
+                        st.session_state['projections_df'].loc[orig_idx[0], 'team'] = row['team']
                         st.session_state['projections_df'].loc[orig_idx[0], 'median'] = row['median']
                         st.session_state['projections_df'].loc[orig_idx[0], 'ownership'] = row['ownership']
                         st.session_state['projections_df'].loc[orig_idx[0], 'captain ownership'] = row['captain ownership']
@@ -1889,6 +1889,7 @@ if selected_tab == 'Projections Management':
                     
                     # Update map_dict entries
                     if 'map_dict' in st.session_state:
+                        st.session_state['map_dict']['team_map'][player_name] = str(row['team'])
                         st.session_state['map_dict']['proj_map'][player_name] = float(row['median'])
                         st.session_state['map_dict']['own_map'][player_name] = float(row['ownership'])