feat: 新增日志中心、功能优化与代码重构

- 新增 log_datasource.go / log_proxy.go / user_api_token.go 后端控制器
- 新增 log_datasource.go model
- 新增 monitor/log-center.ts API 模块
- 新增 LogCenter 前端组件及页面
- 重构 deployment 相关组件 (HPDA/UpdateImageModal/bundle-yaml 等)
- 新增 ResetPasswordDialog / code-snippet-block / copy-button 等 UI 组件
- 重构多个 k8s 相关组件 (TopologyView/ResourceVisualEditor/PodFileBrowser 等)
- 更新多个 API 和工具函数 (auth.ts/monitor/index.ts/request.ts 等)
- 更新静态资源 (index.html + 新 JS/CSS bundle)
- 删除废弃静态资源文件

frontend/src/components/kubernetes/KubernetesClusterDetail.tsx

@@ -3,7 +3,7 @@ import { Card, CardContent, CardHeader, CardTitle, CardDescription } from '@/com
 import { Button } from '@/components/ui/button';
 import { Badge } from '@/components/ui/badge';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
-import { Cloud, XCircle } from 'lucide-react';
+import { Cloud, XCircle, RefreshCw } from 'lucide-react';
 import { kubernetesApi } from '@/api';
 import {
   AreaChart,
@@ -15,8 +15,9 @@ import {
   ResponsiveContainer,
 } from 'recharts';
 
-// 资源使用趋势数据 — 从节点 metrics 实时计算（不再用硬编码 mock） // Logan.Li
-// 由于当前无 time-series 存储，用当前快照展示一个合理的汇总值
+// 资源使用趋势数据
+// 由于当前无持久化时序存储，这里基于当前节点 metrics 构造一个简短的模拟趋势（最近几分钟变化）
+// 真正历史数据需要后端记录指标快照后才能实现 // Logan.Li
 
 export function KubernetesClusterDetail({ cluster, onClose }: { cluster: any; onClose: () => void }) {
   const [nodes, setNodes] = useState<any[]>([]);
@@ -50,6 +51,21 @@ export function KubernetesClusterDetail({ cluster, onClose }: { cluster: any; on
     };
   }, [nodes]);
 
+  // 构造趋势数据（多点），避免单点导致“光点”效果 // Logan.Li
+  const trendData = useMemo(() => {
+    const cpu = Math.max(0, Math.min(100, Number(clusterMetrics.cpuPct.toFixed(1))));
+    const mem = Math.max(0, Math.min(100, Number(clusterMetrics.memPct.toFixed(1))));
+
+    // 模拟最近 5 个时间点的趋势（基于当前值轻微回溯）
+    return [
+      { time: '10m前', cpu: Math.max(0, cpu * 0.72), memory: Math.max(0, mem * 0.78) },
+      { time: '7m前',  cpu: Math.max(0, cpu * 0.82), memory: Math.max(0, mem * 0.85) },
+      { time: '4m前',  cpu: Math.max(0, cpu * 0.90), memory: Math.max(0, mem * 0.93) },
+      { time: '2m前',  cpu: Math.max(0, cpu * 0.96), memory: Math.max(0, mem * 0.97) },
+      { time: '现在',  cpu, memory: mem },
+    ];
+  }, [clusterMetrics]);
+
   const loadClusterDetail = async (clusterId: string) => {
     try {
       // 后端 ListNodes/ListPods/etc 返回 data 直接为数组（非 {list,total}）
@@ -132,49 +148,63 @@ export function KubernetesClusterDetail({ cluster, onClose }: { cluster: any; on
             <div className="grid grid-cols-1 lg:grid-cols-2 gap-4">
               <Card className="bg-slate-800/50 border-slate-700">
                 <CardHeader className="pb-2">
-                  <CardTitle className="text-sm text-slate-400">资源使用趋势</CardTitle>
+                  <div className="flex items-center justify-between w-full">
+                    <CardTitle className="text-sm text-slate-400">资源使用趋势（模拟最近变化）</CardTitle>
+                    <Button
+                      variant="ghost"
+                      size="sm"
+                      className="h-6 w-6 p-0 text-slate-400 hover:text-slate-200"
+                      onClick={() => cluster?.id && loadClusterDetail(cluster.id)}
+                      title="刷新节点指标"
+                    >
+                      <RefreshCw className="h-3.5 w-3.5" />
+                    </Button>
+                  </div>
                 </CardHeader>
                 <CardContent>
                   <div className="h-[200px]">
                     <ResponsiveContainer width="100%" height="100%">
-                      <AreaChart data={[
-                        { time: 'CPU', cpu: Number(clusterMetrics.cpuPct.toFixed(1)), memory: Number(clusterMetrics.memPct.toFixed(1)) },
-                      ]}>
+                      <AreaChart data={trendData} margin={{ top: 5, right: 10, left: 0, bottom: 5 }}>
                         <defs>
                           <linearGradient id="colorCpu" x1="0" y1="0" x2="0" y2="1">
-                            <stop offset="5%" stopColor="#3b82f6" stopOpacity={0.3} />
-                            <stop offset="95%" stopColor="#3b82f6" stopOpacity={0} />
+                            <stop offset="5%" stopColor="#3b82f6" stopOpacity={0.35} />
+                            <stop offset="95%" stopColor="#3b82f6" stopOpacity={0.05} />
                           </linearGradient>
                           <linearGradient id="colorMemory" x1="0" y1="0" x2="0" y2="1">
-                            <stop offset="5%" stopColor="#10b981" stopOpacity={0.3} />
-                            <stop offset="95%" stopColor="#10b981" stopOpacity={0} />
+                            <stop offset="5%" stopColor="#10b981" stopOpacity={0.35} />
+                            <stop offset="95%" stopColor="#10b981" stopOpacity={0.05} />
                           </linearGradient>
                         </defs>
-                        <CartesianGrid strokeDasharray="3 3" stroke="#1e293b" />
-                        <XAxis dataKey="time" stroke="#475569" fontSize={12} />
-                        <YAxis stroke="#475569" fontSize={12} domain={[0, 100]} />
+                        <CartesianGrid strokeDasharray="2 2" stroke="#1e293b" />
+                        <XAxis dataKey="time" stroke="#475569" fontSize={11} tickLine={false} />
+                        <YAxis stroke="#475569" fontSize={11} domain={[0, 100]} unit="%" tickLine={false} />
                         <Tooltip
                           contentStyle={{
                             backgroundColor: '#0f172a',
                             border: '1px solid #1e293b',
                             borderRadius: '6px',
                             color: '#f8fafc',
+                            fontSize: '12px',
                           }}
                         />
                         <Area
                           type="monotone"
                           dataKey="cpu"
                           stroke="#3b82f6"
-                          fillOpacity={1}
+                          strokeWidth={2}
                           fill="url(#colorCpu)"
+                          dot={false}
+                          activeDot={{ r: 3, fill: '#3b82f6' }}
                           name="CPU(%)"
                         />
                         <Area
                           type="monotone"
                           dataKey="memory"
                           stroke="#10b981"
-                          fillOpacity={1}
+                          strokeWidth={2}
                           fill="url(#colorMemory)"
+                          dot={false}
+                          activeDot={{ r: 3, fill: '#10b981' }}
                           name="内存(%)"
                         />
                       </AreaChart>