Simplify game rotation timeline plot and update data rendering

app.py

@@ -700,30 +700,13 @@ with tab5:
             game_rot_stats = check_rotation.reindex(game_rot_cols,axis="columns")
             game_rot_stats = game_rot_stats.drop_duplicates(subset='backlog_lookup')
 
-            # Create proper time segments
-            check_rotation['TimeSegment'] = check_rotation.apply(
-                lambda row: {
-                    'Start': row['Start'],
-                    'Total': row['Finish'] - row['Start']
-                }, axis=1
-            )
-            
-            fig = px.timeline(data_frame=check_rotation, 
-                            x_start='Start', 
-                            x_end='Finish', 
-                            y='Resource',
-                            range_x=[0, 48],  # Full game length
-                            text='Task')
+            fig = px.timeline(data_frame=check_rotation, x_start='Start', x_end='Finish', y='Resource', range_x=[0,check_rotation["Finish"].max()], text='Task')
             
             fig.layout.xaxis.type = 'linear'
-            fig.update_yaxes(categoryorder='category ascending')
-            
-            # Update traces to show proper time segments
-            for i in range(len(fig.data)):
-                fig.data[i].x = [
-                    (seg['Start'], seg['Start'] + seg['Total']) 
-                    for seg in check_rotation['TimeSegment']
-                ] 
+            fig.data[0].x_start = check_rotation.Start.tolist()
+            fig.data[0].x_end = check_rotation.Finish.tolist()
+            fig.data[0].y = check_rotation.Task.tolist()
+            fig.update_yaxes(autorange="reversed") 
 
             # Create a color map for each unique player
             player_colors = px.colors.qualitative.Plotly[:len(check_rotation['PLAYER_NAME'].unique())]