- 资源用量弹窗:删除 applyPrometheus/promQueryValue 与峰值/限流字段 (LOKI_USAGE_PROMETHEUS_URL 从未内置,代码恒走降级),统一提示 「未接入 Prometheus:暂无峰值/限流数据」;扩容建议改基于 metrics-server 实时值 - 移除「平台监控」菜单页与 /api/v1/system/metrics-summary; 原始指标保留在标准 /api/v1/metrics(Prometheus 文本格式)可自行抓取 - 手册/落地页/CHANGELOG 同步(去除备份恢复与监控页宣传,指标端点表述中性化)
414 lines
14 KiB
Go
414 lines
14 KiB
Go
package services
|
|
|
|
import (
|
|
"context"
|
|
"encoding/json"
|
|
"fmt"
|
|
"strconv"
|
|
"strings"
|
|
"time"
|
|
|
|
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
|
|
|
|
"lokistack/models"
|
|
)
|
|
|
|
// ResourceUsage 是页面上「资源」弹框的数据。
|
|
//
|
|
// 三种部署模式都能采集:
|
|
// - k8s-yaml : StatefulSet resources + metrics-server(实时用量)
|
|
// - host-docker : docker stats / docker inspect(容器限额未设则按宿主机内存做参考)
|
|
// - host-binary : ps 采集进程 CPU%/RSS(无 cgroup 限额)
|
|
//
|
|
// 权限兼容:集群 token 常是最小权限,可能没有 metrics.k8s.io。
|
|
// 这时**不报错**,照样返回 limits/就绪/重启,并把原因写进 MetricsNote 让页面提示。
|
|
type ResourceUsage struct {
|
|
Mode string `json:"mode"`
|
|
Source string `json:"source"`
|
|
Namespace string `json:"namespace,omitempty"`
|
|
Pod string `json:"pod,omitempty"`
|
|
Node string `json:"node,omitempty"`
|
|
Ready bool `json:"ready"`
|
|
Restarts int32 `json:"restarts"`
|
|
|
|
CPUCurrentMilli int64 `json:"cpuCurrentMilli"`
|
|
CPURequestMilli int64 `json:"cpuRequestMilli"`
|
|
CPULimitMilli int64 `json:"cpuLimitMilli"`
|
|
|
|
MemCurrentBytes int64 `json:"memCurrentBytes"`
|
|
MemRequestBytes int64 `json:"memRequestBytes"`
|
|
MemLimitBytes int64 `json:"memLimitBytes"`
|
|
|
|
// 限额是否真的配置了(docker 未加 --memory 时为 false,页面不画百分比)
|
|
LimitsConfigured bool `json:"limitsConfigured"`
|
|
|
|
// 采集受限说明(如缺 metrics.k8s.io 权限、未装 metrics-server、docker 无历史数据)
|
|
MetricsNote string `json:"metricsNote,omitempty"`
|
|
|
|
CPUSuggest string `json:"cpuSuggest,omitempty"`
|
|
MemSuggest string `json:"memSuggest,omitempty"`
|
|
Summary string `json:"summary"`
|
|
}
|
|
|
|
type podMetricsResponse struct {
|
|
Containers []struct {
|
|
Name string `json:"name"`
|
|
Usage struct {
|
|
CPU string `json:"cpu"`
|
|
Memory string `json:"memory"`
|
|
} `json:"usage"`
|
|
} `json:"containers"`
|
|
}
|
|
|
|
// GetUsage 采集某个 Loki 部署的资源用量(按部署模式分派)。
|
|
func (s *DeploymentService) GetUsage(ctx context.Context, id uint) (*ResourceUsage, error) {
|
|
d, err := s.Get(id)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
switch d.Mode {
|
|
case "k8s-yaml":
|
|
return s.k8sUsage(ctx, d)
|
|
case "host-docker":
|
|
return s.dockerUsage(ctx, d)
|
|
case "host-binary":
|
|
return s.processUsage(ctx, d)
|
|
default:
|
|
return nil, fmt.Errorf("不支持的部署模式:%s", d.Mode)
|
|
}
|
|
}
|
|
|
|
// ---------- Kubernetes ----------
|
|
|
|
func (s *DeploymentService) k8sUsage(ctx context.Context, d *models.LokiDeployment) (*ResourceUsage, error) {
|
|
if d.Cluster == nil {
|
|
return nil, fmt.Errorf("部署未关联 Kubernetes 集群")
|
|
}
|
|
client, err := clusterClient(d.Cluster, 20*time.Second)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ctx, cancel := context.WithTimeout(ctx, 15*time.Second)
|
|
defer cancel()
|
|
|
|
ns := d.Namespace
|
|
if ns == "" {
|
|
ns = "log"
|
|
}
|
|
usage := &ResourceUsage{Mode: d.Mode, Source: "kubernetes", Namespace: ns, Pod: "loki-0"}
|
|
|
|
// 1) limits/requests 取线上 StatefulSet(以运行态为准,不信部署记录)
|
|
if sts, err := client.AppsV1().StatefulSets(ns).Get(ctx, "loki", metav1.GetOptions{}); err == nil &&
|
|
len(sts.Spec.Template.Spec.Containers) > 0 {
|
|
res := sts.Spec.Template.Spec.Containers[0].Resources
|
|
usage.CPULimitMilli = parseQuantityMilli(res.Limits.Cpu().String())
|
|
usage.CPURequestMilli = parseQuantityMilli(res.Requests.Cpu().String())
|
|
usage.MemLimitBytes = parseQuantityBytes(res.Limits.Memory().String())
|
|
usage.MemRequestBytes = parseQuantityBytes(res.Requests.Memory().String())
|
|
usage.LimitsConfigured = usage.CPULimitMilli > 0 && usage.MemLimitBytes > 0
|
|
}
|
|
|
|
// 2) Pod 状态
|
|
if pod, err := client.CoreV1().Pods(ns).Get(ctx, usage.Pod, metav1.GetOptions{}); err == nil {
|
|
usage.Node = pod.Spec.NodeName
|
|
for _, cs := range pod.Status.ContainerStatuses {
|
|
if cs.Name == "loki" {
|
|
usage.Ready = cs.Ready
|
|
usage.Restarts = cs.RestartCount
|
|
}
|
|
}
|
|
}
|
|
|
|
// 3) 实时用量:metrics-server(最小权限 token 常常没有这个 API 组,要降级而不是报错)
|
|
raw, err := client.Discovery().RESTClient().Get().
|
|
AbsPath("/apis/metrics.k8s.io/v1beta1/namespaces/" + ns + "/pods/" + usage.Pod).
|
|
DoRaw(ctx)
|
|
switch {
|
|
case err != nil:
|
|
usage.MetricsNote = explainMetricsError(err)
|
|
case json.Unmarshal(raw, &podMetricsResponse{}) == nil:
|
|
var pm podMetricsResponse
|
|
if json.Unmarshal(raw, &pm) == nil {
|
|
for _, c := range pm.Containers {
|
|
if c.Name == "loki" {
|
|
usage.CPUCurrentMilli = parseQuantityMilli(c.Usage.CPU)
|
|
usage.MemCurrentBytes = parseQuantityBytes(c.Usage.Memory)
|
|
}
|
|
}
|
|
}
|
|
default:
|
|
usage.MetricsNote = "无法解析 metrics-server 返回"
|
|
}
|
|
|
|
usage.buildHints()
|
|
return usage, nil
|
|
}
|
|
|
|
// explainMetricsError 把 RBAC/安装问题翻译成可执行的提示。
|
|
func explainMetricsError(err error) string {
|
|
msg := strings.ToLower(err.Error())
|
|
switch {
|
|
case strings.Contains(msg, "forbidden") || strings.Contains(msg, "cannot get resource"):
|
|
return "当前集群凭证缺少 metrics.k8s.io 权限,看不到实时用量。需要给该 ServiceAccount 增加:" +
|
|
"apiGroups=[\"metrics.k8s.io\"] resources=[\"pods\"] verbs=[\"get\",\"list\"](其余限额/就绪数据仍可正常显示)"
|
|
case strings.Contains(msg, "not found") || strings.Contains(msg, "could not find the requested resource"):
|
|
return "集群未安装 metrics-server,无法获取实时 CPU/内存用量(限额与就绪状态仍可显示)"
|
|
default:
|
|
return "读取实时用量失败:" + err.Error()
|
|
}
|
|
}
|
|
|
|
// ---------- host-docker ----------
|
|
|
|
func (s *DeploymentService) dockerUsage(ctx context.Context, d *models.LokiDeployment) (*ResourceUsage, error) {
|
|
if d.Host == nil {
|
|
return nil, fmt.Errorf("部署未关联主机")
|
|
}
|
|
client, err := NewSSHClientWithAuth(HostSSHAuth(d.Host))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("连接部署主机失败:%w", err)
|
|
}
|
|
defer client.Close()
|
|
|
|
ctx, cancel := context.WithTimeout(ctx, 20*time.Second)
|
|
defer cancel()
|
|
|
|
name := dockerContainerName(d.ID)
|
|
usage := &ResourceUsage{Mode: d.Mode, Source: "docker", Pod: name, Node: d.Host.HostIP}
|
|
|
|
// 容器状态 + 限额(docker run 未指定 --memory/--cpus 时限额为 0 = 不限制)
|
|
inspectFmt := "{{.State.Status}}|{{.RestartCount}}|{{.HostConfig.NanoCpus}}|{{.HostConfig.Memory}}"
|
|
out, stderr, err := client.Execute(ctx, fmt.Sprintf("docker inspect -f '%s' %s 2>&1", inspectFmt, name))
|
|
if err != nil || strings.Contains(out, "No such object") {
|
|
return nil, fmt.Errorf("容器 %s 不存在或主机无法访问:%s", name, strings.TrimSpace(stderr))
|
|
}
|
|
parts := strings.Split(strings.TrimSpace(out), "|")
|
|
if len(parts) >= 4 {
|
|
usage.Ready = parts[0] == "running"
|
|
if n, err := strconv.Atoi(parts[1]); err == nil {
|
|
usage.Restarts = int32(n)
|
|
}
|
|
if nano, err := strconv.ParseInt(parts[2], 10, 64); err == nil && nano > 0 {
|
|
usage.CPULimitMilli = nano / 1e6
|
|
}
|
|
if mem, err := strconv.ParseInt(parts[3], 10, 64); err == nil && mem > 0 {
|
|
usage.MemLimitBytes = mem
|
|
}
|
|
usage.LimitsConfigured = usage.CPULimitMilli > 0 && usage.MemLimitBytes > 0
|
|
}
|
|
|
|
// 实时用量:docker stats(一次采样)
|
|
statsFmt := "{{.CPUPerc}}|{{.MemUsage}}"
|
|
out, _, err = client.Execute(ctx, fmt.Sprintf("docker stats --no-stream --format '%s' %s 2>/dev/null", statsFmt, name))
|
|
if err == nil {
|
|
if fields := strings.Split(strings.TrimSpace(out), "|"); len(fields) >= 2 {
|
|
usage.CPUCurrentMilli = int64(parsePercent(fields[0]) * 10) // 1% = 10m
|
|
used, limit := parseDockerMemUsage(fields[1])
|
|
usage.MemCurrentBytes = used
|
|
if usage.MemLimitBytes == 0 {
|
|
usage.MemLimitBytes = limit // 未设限额时 docker 报宿主机内存,作为参考上限
|
|
}
|
|
}
|
|
} else {
|
|
usage.MetricsNote = "docker stats 读取失败:" + err.Error()
|
|
}
|
|
if usage.MetricsNote == "" {
|
|
usage.MetricsNote = "未接入 Prometheus:暂无峰值/限流数据"
|
|
}
|
|
|
|
usage.buildHints()
|
|
return usage, nil
|
|
}
|
|
|
|
// ---------- host-binary ----------
|
|
|
|
func (s *DeploymentService) processUsage(ctx context.Context, d *models.LokiDeployment) (*ResourceUsage, error) {
|
|
if d.Host == nil {
|
|
return nil, fmt.Errorf("部署未关联主机")
|
|
}
|
|
client, err := NewSSHClientWithAuth(HostSSHAuth(d.Host))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("连接部署主机失败:%w", err)
|
|
}
|
|
defer client.Close()
|
|
|
|
ctx, cancel := context.WithTimeout(ctx, 15*time.Second)
|
|
defer cancel()
|
|
|
|
usage := &ResourceUsage{Mode: d.Mode, Source: "binary", Pod: "loki", Node: d.Host.HostIP}
|
|
out, _, err := client.Execute(ctx, "ps -eo pcpu,rss,comm --no-headers | awk '$3==\"loki\"{print $1\"|\"$2; exit}'")
|
|
if err != nil || strings.TrimSpace(out) == "" {
|
|
return nil, fmt.Errorf("主机上未找到 loki 进程")
|
|
}
|
|
if fields := strings.Split(strings.TrimSpace(out), "|"); len(fields) >= 2 {
|
|
usage.CPUCurrentMilli = int64(parseFloatSafe(fields[0]) * 10) // %CPU → millicores(单核百分比)
|
|
rssKB, _ := strconv.ParseInt(strings.TrimSpace(fields[1]), 10, 64)
|
|
usage.MemCurrentBytes = rssKB * 1024
|
|
usage.Ready = true
|
|
}
|
|
usage.MetricsNote = "裸进程部署没有 cgroup 限额,只能看实时占用(无峰值/限额对比)"
|
|
|
|
usage.buildHints()
|
|
return usage, nil
|
|
}
|
|
|
|
// ---------- 共用:扩容建议 ----------
|
|
|
|
func (u *ResourceUsage) buildHints() {
|
|
// 峰值需 Prometheus,平台不接入:扩容建议基于 metrics-server 实时值
|
|
cpuRef := u.CPUCurrentMilli
|
|
memRef := u.MemCurrentBytes
|
|
|
|
var notes []string
|
|
if u.CPULimitMilli > 0 {
|
|
ratio := float64(cpuRef) / float64(u.CPULimitMilli)
|
|
switch {
|
|
case ratio >= 0.9:
|
|
u.CPUSuggest = fmt.Sprintf("CPU 峰值已达 limit 的 %.0f%%,建议把 CPU limit 提升到 %s 核", ratio*100, formatMilli(nextCPU(u.CPULimitMilli)))
|
|
notes = append(notes, "CPU 打满")
|
|
case ratio >= 0.7:
|
|
u.CPUSuggest = fmt.Sprintf("CPU 峰值占 limit 的 %.0f%%,接近上限,可考虑提前扩容", ratio*100)
|
|
notes = append(notes, "CPU 偏高")
|
|
}
|
|
}
|
|
if u.MemLimitBytes > 0 {
|
|
ratio := float64(memRef) / float64(u.MemLimitBytes)
|
|
switch {
|
|
case ratio >= 0.9:
|
|
u.MemSuggest = fmt.Sprintf("内存峰值已达 limit 的 %.0f%%,有 OOMKilled 风险,建议提升到 %s", ratio*100, formatBytesShort(nextMem(u.MemLimitBytes)))
|
|
notes = append(notes, "内存吃紧")
|
|
case ratio >= 0.75:
|
|
u.MemSuggest = fmt.Sprintf("内存峰值占 limit 的 %.0f%%,接近上限,可考虑提前扩容", ratio*100)
|
|
notes = append(notes, "内存偏高")
|
|
}
|
|
}
|
|
if !u.Ready {
|
|
notes = append(notes, "实例未就绪")
|
|
}
|
|
|
|
if len(notes) == 0 {
|
|
if u.LimitsConfigured {
|
|
u.Summary = "资源充足:CPU / 内存均低于 limit 的 70%"
|
|
} else {
|
|
u.Summary = "未配置资源限额(建议设置 CPU / 内存上限,便于判断扩容时机)"
|
|
}
|
|
} else {
|
|
u.Summary = "需要关注:" + strings.Join(notes, "、")
|
|
}
|
|
}
|
|
|
|
// ---------- 单位解析 ----------
|
|
|
|
// parseQuantityMilli 解析 CPU 用量/限额为毫核。
|
|
//
|
|
// 注意 metrics-server 返回的 CPU 常常是**纳核**(如 "194533645n" = 194.5 毫核),
|
|
// 早先只处理了 "m" 后缀,导致 "194533645" 被当成 194 亿核,
|
|
// 页面出现「CPU 已达 limit 的 4863341125%」这种荒谬结论。
|
|
func parseQuantityMilli(s string) int64 {
|
|
s = strings.TrimSpace(s)
|
|
if s == "" || s == "0" {
|
|
return 0
|
|
}
|
|
switch {
|
|
case strings.HasSuffix(s, "n"): // 纳核
|
|
return int64(parseFloatSafe(strings.TrimSuffix(s, "n")) / 1e6)
|
|
case strings.HasSuffix(s, "u"): // 微核
|
|
return int64(parseFloatSafe(strings.TrimSuffix(s, "u")) / 1e3)
|
|
case strings.HasSuffix(s, "m"): // 毫核
|
|
return int64(parseFloatSafe(strings.TrimSuffix(s, "m")))
|
|
default: // 整核
|
|
return int64(parseFloatSafe(s) * 1000)
|
|
}
|
|
}
|
|
|
|
func parseQuantityBytes(s string) int64 {
|
|
s = strings.TrimSpace(s)
|
|
if s == "" {
|
|
return 0
|
|
}
|
|
units := []struct {
|
|
suffix string
|
|
mul float64
|
|
}{
|
|
{"Gi", 1024 * 1024 * 1024}, {"Mi", 1024 * 1024}, {"Ki", 1024},
|
|
{"G", 1e9}, {"M", 1e6}, {"K", 1e3},
|
|
}
|
|
for _, u := range units {
|
|
if strings.HasSuffix(s, u.suffix) {
|
|
return int64(parseFloatSafe(strings.TrimSuffix(s, u.suffix)) * u.mul)
|
|
}
|
|
}
|
|
return int64(parseFloatSafe(s))
|
|
}
|
|
|
|
func parseFloatSafe(s string) float64 {
|
|
var f float64
|
|
if _, err := fmt.Sscanf(strings.TrimSpace(s), "%g", &f); err != nil {
|
|
return 0
|
|
}
|
|
return f
|
|
}
|
|
|
|
// parsePercent 解析 "0.15%" / "12.5%" → 数值百分比
|
|
func parsePercent(s string) float64 {
|
|
return parseFloatSafe(strings.TrimSuffix(strings.TrimSpace(s), "%"))
|
|
}
|
|
|
|
// parseDockerMemUsage 解析 docker stats 的 "120MiB / 7.6GiB" → (used, limit)
|
|
func parseDockerMemUsage(s string) (int64, int64) {
|
|
parts := strings.Split(s, "/")
|
|
if len(parts) != 2 {
|
|
return 0, 0
|
|
}
|
|
return parseDockerSize(parts[0]), parseDockerSize(parts[1])
|
|
}
|
|
|
|
func parseDockerSize(s string) int64 {
|
|
s = strings.TrimSpace(s)
|
|
units := []struct {
|
|
suffix string
|
|
mul float64
|
|
}{
|
|
{"GiB", 1024 * 1024 * 1024}, {"MiB", 1024 * 1024}, {"KiB", 1024},
|
|
{"GB", 1e9}, {"MB", 1e6}, {"KB", 1e3}, {"B", 1},
|
|
}
|
|
for _, u := range units {
|
|
if strings.HasSuffix(s, u.suffix) {
|
|
return int64(parseFloatSafe(strings.TrimSuffix(s, u.suffix)) * u.mul)
|
|
}
|
|
}
|
|
return int64(parseFloatSafe(s))
|
|
}
|
|
|
|
func nextCPU(currentMilli int64) int64 {
|
|
for _, c := range []int64{1000, 2000, 4000, 6000, 8000, 16000} {
|
|
if c > currentMilli {
|
|
return c
|
|
}
|
|
}
|
|
return currentMilli * 2
|
|
}
|
|
|
|
func nextMem(currentBytes int64) int64 {
|
|
for _, g := range []int64{2, 4, 8, 16, 32, 64} {
|
|
if g*1024*1024*1024 > currentBytes {
|
|
return g * 1024 * 1024 * 1024
|
|
}
|
|
}
|
|
return currentBytes * 2
|
|
}
|
|
|
|
func formatMilli(milli int64) string {
|
|
if milli%1000 == 0 {
|
|
return fmt.Sprintf("%d", milli/1000)
|
|
}
|
|
return fmt.Sprintf("%.1f", float64(milli)/1000)
|
|
}
|
|
|
|
func formatBytesShort(b int64) string {
|
|
if b >= 1024*1024*1024 {
|
|
return fmt.Sprintf("%dGi", b/(1024*1024*1024))
|
|
}
|
|
return fmt.Sprintf("%dMi", b/(1024*1024))
|
|
}
|