feat(k8s): M13 多集群资源对比看板 — GetMultiClusterComparison handler + ClusterComparePage (柱状图/雷达图/饼图/详细对比表)

backend/internal/api/handlers/kubernetes.go

@@ -3608,3 +3608,139 @@ func (h *KubernetesHandler) uploadPodFileWithNS(c *gin.Context, ns string) {
 		},
 	})
 }
+
+// ============================================================================
+// M13: 多集群资源对比看板 (Multi-Cluster Comparison Dashboard) // Logan.Li
+// ============================================================================
+
+// GetMultiClusterComparison 聚合所有集群的资源数据进行对比
+func (h *KubernetesHandler) GetMultiClusterComparison(c *gin.Context) {
+	// 1. 获取所有集群
+	var clusters []models.KubernetesCluster
+	h.db.Find(&clusters)
+
+	type ClusterComparison struct {
+		ID             uint    `json:"id"`
+		Name           string  `json:"name"`
+		Code           string  `json:"code"`
+		Status         string  `json:"status"`
+		Version        string  `json:"version"`
+		NodeCount      int     `json:"node_count"`
+		PodCount       int     `json:"pod_count"`
+		DeploymentCount int    `json:"deployment_count"`
+		ServiceCount   int     `json:"service_count"`
+		CPUUsage       float64 `json:"cpu_usage"`
+		MemoryUsage    float64 `json:"memory_usage"`
+		APIServer      string  `json:"api_server"`
+		LastSyncAt     *time.Time `json:"last_sync_at"`
+
+		// Node-level aggregated data from kubernetes_nodes table
+		TotalCPUCores  int     `json:"total_cpu_cores"`
+		TotalMemoryMB  int64   `json:"total_memory_mb"`
+		MasterCount    int     `json:"master_count"`
+		WorkerCount    int     `json:"worker_count"`
+		HealthyNodes   int     `json:"healthy_nodes"`
+		UnhealthyNodes int     `json:"unhealthy_nodes"`
+	}
+
+	// 2. 获取所有节点的聚合数据（按 cluster_id 分组）
+	type NodeAgg struct {
+		ClusterID      uint
+		NodeCount      int
+		MasterCount    int
+		WorkerCount    int
+		HealthyNodes   int
+		UnhealthyNodes int
+		TotalCPU       int
+		TotalMemory    int64
+		AvgCPUUsage    float64
+		AvgMemUsage    float64
+	}
+	nodeAggMap := map[uint]*NodeAgg{}
+	{
+		var nodes []models.KubernetesNode
+		h.db.Find(&nodes)
+		for _, n := range nodes {
+			agg, ok := nodeAggMap[n.ClusterID]
+			if !ok {
+				agg = &NodeAgg{ClusterID: n.ClusterID}
+				nodeAggMap[n.ClusterID] = agg
+			}
+			agg.NodeCount++
+			agg.TotalCPU += n.CPU
+			agg.TotalMemory += n.Memory
+			if n.CPUUsage > 0 || n.MemoryUsage > 0 {
+				if agg.AvgCPUUsage == 0 { agg.AvgCPUUsage = n.CPUUsage } else { agg.AvgCPUUsage = (agg.AvgCPUUsage*float64(agg.NodeCount-1) + n.CPUUsage) / float64(agg.NodeCount) }
+				if agg.AvgMemUsage == 0 { agg.AvgMemUsage = n.MemoryUsage } else { agg.AvgMemUsage = (agg.AvgMemUsage*float64(agg.NodeCount-1) + n.MemoryUsage) / float64(agg.NodeCount) }
+			}
+			if n.Role == "master" {
+				agg.MasterCount++
+			} else {
+				agg.WorkerCount++
+			}
+			if n.Status == "Ready" {
+				agg.HealthyNodes++
+			} else {
+				agg.UnhealthyNodes++
+			}
+		}
+	}
+
+	// 3. 构建对比数据
+	comparisons := []ClusterComparison{}
+	totalNodes, totalPods, totalDeployments, totalServices := 0, 0, 0, 0
+	for _, cl := range clusters {
+		cc := ClusterComparison{
+			ID:              cl.ID,
+			Name:            cl.Name,
+			Code:            cl.Code,
+			Status:          cl.Status,
+			Version:         cl.Version,
+			NodeCount:       cl.NodeCount,
+			PodCount:        cl.PodCount,
+			DeploymentCount: cl.DeploymentCount,
+			ServiceCount:    cl.ServiceCount,
+			CPUUsage:        cl.CPUUsage,
+			MemoryUsage:     cl.MemoryUsage,
+			APIServer:       cl.APIServer,
+			LastSyncAt:      cl.LastSyncAt,
+		}
+		// 优先用 node 级别的实时聚合数据
+		if agg, ok := nodeAggMap[cl.ID]; ok && agg.NodeCount > 0 {
+			cc.TotalCPUCores = agg.TotalCPU
+			cc.TotalMemoryMB = agg.TotalMemory
+			cc.MasterCount = agg.MasterCount
+			cc.WorkerCount = agg.WorkerCount
+			cc.HealthyNodes = agg.HealthyNodes
+			cc.UnhealthyNodes = agg.UnhealthyNodes
+			// 如果集群级别的 cpu_usage 为 0，使用节点平均值
+			if cc.CPUUsage == 0 && agg.AvgCPUUsage > 0 {
+				cc.CPUUsage = agg.AvgCPUUsage
+			}
+			if cc.MemoryUsage == 0 && agg.AvgMemUsage > 0 {
+				cc.MemoryUsage = agg.AvgMemUsage
+			}
+		}
+		totalNodes += cc.NodeCount
+		totalPods += cc.PodCount
+		totalDeployments += cc.DeploymentCount
+		totalServices += cc.ServiceCount
+		comparisons = append(comparisons, cc)
+	}
+
+	// 4. 返回结果
+	c.JSON(200, models.Response{
+		Code:    200,
+		Message: "success",
+		Data: gin.H{
+			"clusters": comparisons,
+			"totals": gin.H{
+				"cluster_count":    len(clusters),
+				"node_count":       totalNodes,
+				"pod_count":        totalPods,
+				"deployment_count": totalDeployments,
+				"service_count":    totalServices,
+			},
+		},
+	})
+}

backend/internal/api/routes/routes.go

@@ -432,6 +432,9 @@ func Register(r *gin.Engine, db *gorm.DB, log *zap.Logger, cfg *config.Config, c
 		kubernetesRouter.GET("/:clusterCode/namespace/:namespace/:resource/:name/yaml", k8sHandler.GetResourceYAMLNS)
 		kubernetesRouter.PUT("/:clusterCode/namespace/:namespace/:resource/:name/yaml", k8sHandler.UpdateResourceYAMLNS)
 		kubernetesRouter.DELETE("/:clusterCode/namespace/:namespace/:resource/:name/yaml", k8sHandler.DeleteResourceYAMLNS)
+
+		// 🆕 M13: 多集群资源对比看板
+		kubernetesRouter.GET("/compare", k8sHandler.GetMultiClusterComparison)
 	}
 
 	// 告警路由