fix: 修复GUI界面图表显示和事件处理问题

gui.py

@@ -113,15 +113,23 @@ def index():
         if refs['plot_container']:
             refs['plot_container'].clear()
             with refs['plot_container']:
+                # 使用 ui.pyplot 上下文自动管理 figure 生命周期
                 with ui.pyplot(figsize=(10, 8)) as plot:
                     title = f"{result['name']}\nCost: ¥{result['cost']/10000:.2f}万 | Loss: {result['loss']:.2f} kW"
-                    # 获取当前 ui.pyplot 创建的 axes
+                    # 显式获取当前 ui.pyplot 创建的 axes，并传递给绘图函数
+                    # 确保绘图发生在正确的 figure 上
                     ax = plt.gca()
                     visualize_design(result['turbines'], state['substation'], result['eval']['details'], title, ax=ax)
 
     def handle_row_click(e):
-        if not e.args or 'data' not in e.args: return
+        # ui.table row-click args: [evt, row, index]
-        row_name = e.args['data']['name']
+        row = None
+        if e.args and isinstance(e.args, list) and len(e.args) > 1:
+            row = e.args[1]
+        
+        if not row or 'name' not in row: return
+        
+        row_name = row['name']
         selected_res = next((r for r in state['results'] if r['name'] == row_name), None)
         if selected_res:
             update_plot(selected_res)
@@ -161,18 +169,24 @@ def index():
             # 2. 定义在线程中运行的任务
             def task():
                 # 捕获 stdout 到我们的 QueueLogger
+                # 禁止 main.py 中的后台绘图，避免线程安全问题
                 with contextlib.redirect_stdout(QueueLogger()):
                     return compare_design_methods(
                         excel_path=state['excel_path'], 
                         n_clusters_override=n_clusters, 
                         interactive=False,
-                        plot_results=False # 禁止后台绘图，避免线程安全问题
+                        plot_results=False 
                     )
+            
+            # 在后台线程运行计算任务
             results = await run.io_bound(task)
+            
             state['results'] = results
             if not state['excel_path'] and results:
                 if state['substation'] is None:
                     _, state['substation'] = generate_wind_farm_data(n_turbines=30, layout='grid', spacing=800)
+            
+            # 更新结果表格
             if refs['results_table']:
                 table_data = []
                 for res in results:
@@ -180,7 +194,7 @@ def index():
                 refs['results_table'].rows = table_data
                 refs['results_table'].update()
             
-            # 计算完成后，自动寻找并显示最佳方案的拓扑图 (不再显示4合1大图)
+            # 计算完成后，自动寻找并显示最佳方案的拓扑图
             if results:
                 best_res = min(results, key=lambda x: x['cost'])
                 update_plot(best_res)
@@ -190,6 +204,8 @@ def index():
             if refs['status_label']: refs['status_label'].text = "计算完成！"
         except Exception as ex:
             ui.notify(f'运行出错: {ex}', type='negative')
+            import traceback
+            traceback.print_exc()
         finally:
             log_timer.cancel()
             process_log_queue()
@@ -227,7 +243,7 @@ def index():
                 ]
                 # 移除 selection='single'，改为纯行点击交互
                 refs['results_table'] = ui.table(columns=columns, rows=[]).classes('w-full')
-                refs['results_table'].on('rowClick', handle_row_click)
+                refs['results_table'].on('row-click', handle_row_click)
             with ui.card().classes('w-full p-4 shadow-md'):
                 ui.label('拓扑可视化').classes('text-xl font-semibold mb-2')
                 refs['plot_container'] = ui.column().classes('w-full items-center')