Added the ability to check portfolio for players not present in projections and adjust them accordingly

app.py

@@ -1747,6 +1747,36 @@ if selected_tab == 'Projections Management':
         # Get the current projections dataframe
         projections_editor_df = st.session_state['projections_df'].copy()
         
+        # Check for portfolio players not in projections and add them
+        if 'origin_portfolio' in st.session_state and 'map_dict' in st.session_state:
+            # Get all portfolio player names
+            portfolio_df = pd.read_parquet(io.BytesIO(st.session_state['origin_portfolio']))
+            portfolio_players = set(get_portfolio_names(portfolio_df))
+            projection_players = set(projections_editor_df['player_names'].tolist())
+            
+            # Find missing players
+            missing_players = portfolio_players - projection_players
+            
+            if missing_players:
+                # Create rows for missing players using map_dict data
+                missing_rows = []
+                for player in missing_players:
+                    missing_rows.append({
+                        'player_names': player,
+                        'position': st.session_state['map_dict']['pos_map'].get(player, 'FLEX'),
+                        'team': st.session_state['map_dict']['team_map'].get(player, 'Unknown'),
+                        'salary': st.session_state['map_dict']['salary_map'].get(player, 0),
+                        'median': st.session_state['map_dict']['proj_map'].get(player, 0.0),
+                        'ownership': st.session_state['map_dict']['own_map'].get(player, 0.0),
+                        'captain ownership': st.session_state['map_dict'].get('cpt_own_map', {}).get(player, 0.0)
+                    })
+                
+                # Add missing players to the editor dataframe
+                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.")
+        
         # Define column configuration for the data editor
         column_config = {
             'player_names': st.column_config.TextColumn(
@@ -1840,9 +1870,22 @@ if selected_tab == 'Projections Management':
                     # Find and update the original projections_df
                     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], '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']
+                    else:
+                        # Player is new (from portfolio but not in projections) - add new row
+                        new_row = pd.DataFrame([{
+                            'player_names': player_name,
+                            'position': row['position'],
+                            'team': row['team'],
+                            'salary': row['salary'],
+                            'median': row['median'],
+                            'ownership': row['ownership'],
+                            'captain ownership': row['captain ownership']
+                        }])
+                        st.session_state['projections_df'] = pd.concat([st.session_state['projections_df'], new_row], ignore_index=True)
                     
                     # Update map_dict entries
                     if 'map_dict' in st.session_state: