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feat(k8s): M10 Node 详情页 — PID/容器运行时/分配率

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- 后端: GetNodeDetail handler — 获取单个节点完整信息
  * 系统信息: container_runtime/architecture/kubelet/os/kernel
  * 资源分配率: 遍历 Pod 计算 CPU/Memory/Pods requested vs allocatable
  * metrics-server 数据注入 (cpu_usage_m/mem_usage_mi)
  * 全量 conditions/taints/labels + 节点上的 Pod 列表
- 后端: K8s 客户端扩展
  * NodeTaint/NodeCondition 扩展字段 (reason/message)
  * NodeInfo 增加 architecture/operatingSystem
  * GetNode(name) 单节点查询方法
  * parseCpuToMilli()/parseMemToMi() 资源解析辅助函数
- 后端: 注册路由
  * GET /kubernetes/:clusterCode/nodes/:name (Kuboard code)
  * GET /kubernetes-clusters/:id/nodes/:name (ID)
- 前端: NodeDetailPage.tsx (~330行)
  * 系统信息卡片 + 资源分配率卡片(进度条)
  * 条件卡片 + 污点卡片 + 标签卡片 + Pod 列表
- 前端: 节点名称可点击跳转 (ClusterOverviewPage)
- 验证: API/SPA/TS/Vite 全部通过
This commit is contained in:
attacker committed 2026-06-23 17:57:09 +08:00
1 parent 28dfc519e1
commit 87b7755094
16 files changed
+921 -52
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frontend/src/components/kubernetes/KubernetesClusterDetail.tsx
+9 -10
View File
@@ -30,15 +30,14 @@ export function KubernetesClusterDetail({ cluster, onClose }: { cluster: any; on
if (!nodes || nodes.length === 0) return { cpuPct: 0, memPct: 0 };
let totalCpuPct = 0, totalMemPct = 0, validNodes = 0;
for (const n of nodes) {
// ClusterOverviewPage 读的是 cpu_usage_m / mem_usage_mi（实时路径）
// ClusterDetail 的 nodes 从 getNodes API 获取，也有这些字段
// 后端 ListNodes 返回 cpu_usage_m (如 "122m"), mem_usage_mi (如 "2105Mi"), cpu (核数), memory_mb (MB)
const cpuCores = n.cpu || 0;
const cpuUsageM = n.cpu_usage_m ? parseFloat(String(n.cpu_usage_m).replace('m', '')) : 0;
const cpuPct = cpuCores > 0 ? (cpuUsageM / 1000 / cpuCores) * 100 : (n.cpu_usage || 0);
const memMb = n.memory_mb || n.memory || 0;
const cpuPct = cpuCores > 0 ? (cpuUsageM / 1000 / cpuCores) * 100 : 0;
const memMb = n.memory_mb || 0;
const memUsageMi = n.mem_usage_mi ? parseFloat(String(n.mem_usage_mi).replace('Mi', '').replace('Ki', '')) : 0;
const memUsageNorm = n.mem_usage_mi?.includes?.('Ki') ? memUsageMi / 1024 : n.mem_usage_mi?.includes?.('Gi') ? memUsageMi * 1024 : memUsageMi;
const memPct = memMb > 0 ? (memUsageNorm / memMb) * 100 : (n.memory_usage || 0);
const memPct = memMb > 0 ? (memUsageNorm / memMb) * 100 : 0;
if (cpuPct > 0 || memPct > 0) {
totalCpuPct += cpuPct;
totalMemPct += memPct;
@@ -264,12 +263,12 @@ export function KubernetesClusterDetail({ cluster, onClose }: { cluster: any; on
</Badge>
</td>
<td className="px-4 py-3 text-sm text-slate-300">
{Number(node.cpu_usage || 0).toFixed(1)}% / {node.cpu}核
{node.cpu_usage_m || '0m'} / {node.cpu}核
</td>
<td className="px-4 py-3 text-sm text-slate-300">
{Number(node.memory_usage || 0).toFixed(1)}% / {node.memory}GB
{node.mem_usage_mi || '0Mi'} / {node.memory_mb ? (node.memory_mb / 1024).toFixed(0) + 'GB' : '-'}
</td>
<td className="px-4 py-3 text-sm text-slate-300">{node.pods ?? node.pod_count ?? 0}</td>
<td className="px-4 py-3 text-sm text-slate-300">{node.max_pods ?? 0}</td>
<td className="px-4 py-3 text-sm text-slate-400">{node.os}</td>
</tr>
))
@@ -322,8 +321,8 @@ export function KubernetesClusterDetail({ cluster, onClose }: { cluster: any; on
</Badge>
</td>
<td className="px-4 py-3 text-sm text-slate-300">{pod.restart_count ?? 0}</td>
<td className="px-4 py-3 text-sm text-slate-300">{Number(pod.cpu_usage || 0).toFixed(1)}m</td>
<td className="px-4 py-3 text-sm text-slate-300">{Number(pod.memory_usage || 0).toFixed(0)}Mi</td>
<td className="px-4 py-3 text-sm text-slate-300">{pod.cpu_usage_m || '0m'}</td>
<td className="px-4 py-3 text-sm text-slate-300">{pod.mem_usage_mi || '0Mi'}</td>
<td className="px-4 py-3 text-sm text-slate-400">{pod.node_name}</td>
</tr>
))