feat: 优化GUI推荐方案选择和用户交互

gui.py

@@ -2,6 +2,7 @@ import os
 import sys
 import io
 import contextlib
+import tempfile
 import matplotlib.pyplot as plt
 from nicegui import ui, events
 from main import (
@@ -35,7 +36,7 @@ state = {
     "results": [],
     "substation": None,
     "turbines": None,
-    "temp_dir": ".gemini/tmp/gui_uploads",
+    "temp_dir": os.path.join(tempfile.gettempdir(), "windfarm_gui_uploads"),
 }
 
 # 确保临时目录存在
@@ -45,6 +46,13 @@ if not os.path.exists(state["temp_dir"]):
 
 @ui.page("/")
 def index():
+    # 注入 CSS 隐藏表格自带的复选框列，并定义选中行的高亮背景色
+    ui.add_head_html("""
+        <style>
+            .hide-selection-column .q-table__selection { display: none; }
+            .hide-selection-column .q-table tr.selected { background-color: #e3f2fd !important; }
+        </style>
+    """)
     ui.query("body").style(
         'background-color: #f0f2f5; font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;'
     )
@@ -57,7 +65,6 @@ def index():
         "export_row": None,
         "status_label": None,
         "upload_widget": None,
-        "clusters_input": None,
         "run_btn": None,
         "current_file_label": None,
     }
@@ -170,29 +177,36 @@ def index():
                         ax=ax,
                     )
 
-    def handle_row_click(e):
+    async def handle_row_click(e):
-        # ui.table row-click args: [evt, row, index]
+        # 获取被点击行的数据
-        row = None
+        row = e.args[1] if len(e.args) > 1 else None
-        if e.args and isinstance(e.args, list) and len(e.args) > 1:
+        if not row:
-            row = e.args[1]
+            return
-
+
-        if not row or "name" not in row:
+        # 识别方案名称
+        row_name = row.get("original_name", row.get("name"))
+        if not row_name:
             return
 
-        row_name = row["name"]
         selected_res = next(
             (r for r in state["results"] if r["name"] == row_name), None
         )
         if selected_res:
+            # 1. 更新拓扑图
             update_plot(selected_res)
-            ui.notify(f"已切换至方案: {row_name}")
+            ui.notify(f"已切换至方案: {selected_res['name']}")
+
+            # 2. 通过设置 table 的 selected 属性来实现背景高亮 (监听点击事件驱动)
+            if refs["results_table"]:
+                refs["results_table"].selected = [row]
 
     from nicegui import run
     import queue
 
-    async def run_analysis(n_clusters):
+    async def run_analysis():
         if not state["excel_path"]:
             ui.notify("请先上传 Excel 坐标文件！", type="warning")
+            return
         if refs["log_box"]:
             refs["log_box"].clear()
         log_queue = queue.Queue()
@@ -233,7 +247,7 @@ def index():
                 with contextlib.redirect_stdout(QueueLogger()):
                     return compare_design_methods(
                         excel_path=state["excel_path"],
-                        n_clusters_override=n_clusters,
+                        n_clusters_override=None,
                         interactive=False,
                         plot_results=False,
                     )
@@ -248,28 +262,48 @@ def index():
                         n_turbines=30, layout="grid", spacing=800
                     )
 
-            # 更新结果表格
-            if refs["results_table"]:
-                table_data = []
-                for res in results:
-                    table_data.append(
-                        {
-                            "name": res["name"],
-                            "cost_wan": round(res["cost"] / 10000, 2),
-                            "loss_kw": round(res["loss"], 2),
-                        }
-                    )
-                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
+            best_res = None
             if results:
-                best_res = min(results, key=lambda x: x["cost"])
+                # 默认推荐 Scenario 1 中成本最低的方案
+                scenario1_results = [r for r in results if "Scenario 1" in r["name"]]
+                if scenario1_results:
+                     best_res = min(scenario1_results, key=lambda x: x["cost"])
+                else:
+                     # 如果没有 Scenario 1，则回退到全局最优
+                     best_res = min(results, key=lambda x: x["cost"])
+                
                 update_plot(best_res)
                 ui.notify(
                     f'计算完成！已自动加载推荐方案: {best_res["name"]}', type="positive"
                 )
 
+            # 更新结果表格
+            if refs["results_table"]:
+                table_data = []
+                best_row = None
+                for res in results:
+                    name_display = res["name"]
+                    is_best = False
+                    if best_res and res["name"] == best_res["name"]:
+                        name_display = f"(推荐) {name_display}"
+                        is_best = True
+
+                    row_dict = {
+                        "name": name_display,
+                        "cost_wan": round(res["cost"] / 10000, 2),
+                        "loss_kw": round(res["loss"], 2),
+                        "original_name": res["name"],
+                    }
+                    table_data.append(row_dict)
+                    if is_best:
+                        best_row = row_dict
+
+                refs["results_table"].rows = table_data
+                # 初始选中推荐方案，实现自动高亮
+                if best_row:
+                    refs["results_table"].selected = [best_row]
+
             update_export_buttons()
             if refs["status_label"]:
                 refs["status_label"].text = "计算完成！"
@@ -313,14 +347,10 @@ def index():
             ).classes("w-full mb-2")
             # refs['current_file_label'] = ui.label('未选择文件').classes('text-xs text-gray-500 mb-4 italic')
 
-            ui.label("2. 参数设置").classes("font-medium mt-4")
-            refs["clusters_input"] = ui.number(
-                "指定回路数 (可选)", value=None, format="%d", placeholder="自动计算"
-            ).classes("w-full mb-4")
             refs["run_btn"] = (
                 ui.button(
                     "运行方案对比",
-                    on_click=lambda: run_analysis(refs["clusters_input"].value),
+                    on_click=run_analysis,
                 )
                 .classes("w-full mt-4 py-4")
                 .props("icon=play_arrow color=secondary")
@@ -352,10 +382,14 @@ def index():
                         "sortable": True,
                     },
                 ]
-                # 移除 selection='single'，改为纯行点击交互
+                # 使用内置的 selection='single' 结合行点击事件实现背景高亮
-                refs["results_table"] = ui.table(columns=columns, rows=[]).classes(
+                # 这样可以完全由 Python 事件逻辑控制，不依赖 CSS 伪类
-                    "w-full"
+                refs["results_table"] = ui.table(
-                )
+                    columns=columns,
+                    rows=[],
+                    selection="single",
+                    row_key="original_name",
+                ).classes("w-full hide-selection-column")
                 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")