=== 1. 主机模式数据源地址 0.0.0.0 → 主机真实 IP(查询页"永远加载中"的根因)===
现象:切换数据源后命名空间/App 下拉不动,一直显示"加载中…",控制台报
Get "http://0.0.0.0:3100/loki/api/v1/labels": dial tcp 0.0.0.0:3100: connect: connection refused
根因:主机模式部署的 endpoint 记的是**容器监听地址** 0.0.0.0:3100,
而平台进程不在被采集主机上,0.0.0.0 只在本机有意义。
EnsureLogSourceForDeployment 把它原样写成了数据源 URL。
修法:
- 新增 reachableEndpoint():把 0.0.0.0 / [::] 换成关联主机的真实 IP
- schemaVersion v3→v4 迁移 fixUnreachableLogSourceURLs(),修正已有脏数据
- 实测:http://0.0.0.0:3100 → http://172.19.16.8:3100,该源 label 查询由 502 变 200
=== 2. 前端:区分"加载中"与"加载失败" ===
原来用 `loading={!options.length}` 表示加载中 —— 数据源不可达时列表永远为空,
于是界面永远转圈,把真实错误完全藏起来了(这次的 0.0.0.0 就是这样被掩盖的)。
改为独立的 namespaceLoading / namespaceError 两个状态:
- 切换数据源先清空旧 options(否则显示上一个源的命名空间,看着像"没反应")
- 失败显示"加载失败"并在旁边给「重试」按钮,不用刷新整页
=== 3. 日志分析页:主图改走索引接口(原来 5 条 count_over_time 全超时)===
实测 astralx(约 370GB/天)15 分钟窗口:
count_over_time → exec 29s + 排队 95s,超过 30s 护栏 → 502
index/volume_range → 0s
改为两阶段渲染:
- 总量趋势改用 /logs/histogram(内部 index/volume_range),**0s 出图**
- 错误/警告/app 维度仍需读日志内容,串行执行,先渲染主图再更新
- heavyQueryTimeout 30s → 90s(实测 error 维度查询 14s 可完成)
=== 4. 告警规则按日志平台定位收敛 ===
- seed 里删掉「Kubernetes 节点 NotReady」「容器 OOMKilled」:
这类属于 kube-state-metrics / Prometheus 的职责,用日志字符串匹配不可靠
- 迁移里清掉线上已存在的同类规则(3 条)
- 修 AlertRule / NotifyChannel 重复 ID(同 logSources 一样漏在 sequences 重建外)
=== 5. 告警页 UI ===
- 规则列表由"每条一张卡"改为紧凑表格(一屏看全,阈值可对齐比较)
- 通知通道(飞书/Lark/Webhook)从「系统设置」搬到告警页折叠区:
规则和"发到哪"是一件事的两半,分两页配容易漏配导致告警发不出去
=== 6. 权限收敛 ===
- /alerts 加 adminOnly:普通用户按查询授权只看「日志查询」,不再看到告警菜单
- 系统设置从侧栏移到右上角齿轮(低频平台配置,不占侧栏一位)
=== 7. 迁移设计教训(写进代码注释)===
v2 时把"告警去重 + 清基础设施规则"塞进 case 1,但线上库已到 v2,
那段代码永远不执行。**结构变更只要逻辑变了、目标库已达该版本,就必须再抬一版**,
不能改历史迁移分支。
=== 实测(v4-1028-2210 / 979bdb4a48e8)===
v4 迁移:数据源 URL 修正 http://0.0.0.0:3100 → http://172.19.16.8:3100
source 1 label:200,0s(astralx / log)
source 2 label:200,0s(不再 connection refused)
分析页 histogram astralx 15m:0s
分析页 metrics error astralx 15m:14s
告警规则:10 条(已无基础设施类)、ID 唯一
另清理 172.19.16.8 上 13 个残留容器,回收 6.1GB
745 lines
23 KiB
Go
745 lines
23 KiB
Go
package services
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// 日志查询代理 — 后端代表前端访问 Loki HTTP API。
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// cluster-svc 型经 kube-apiserver service proxy(不依赖 ClusterIP 直通与集群 DNS);
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// url 型直连。契约参照 aiops 日志中心(query/labels/values/histogram + cursor 翻页)。
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import (
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"context"
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"crypto/tls"
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"encoding/base64"
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"net/http"
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"net/url"
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"sort"
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"strconv"
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"strings"
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"time"
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"k8s.io/client-go/rest"
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"lokistack/models"
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"lokistack/repository"
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)
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// maxLogQueryLimit 单页硬上限,与前端下拉选项保持**完全一致**,
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// 避免"前端能选 5000、后端静默截成 1000"这种假选项。
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// 取值 5000 = Loki limits_config.max_entries_limit_per_query 的默认上限;
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// 前端结果表已加虚拟滚动(>100 条只渲染可视区),5000 行不会卡。
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const maxLogQueryLimit = 5000
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const logQueryTimeout = 120 * time.Second
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var lokiHTTPClients = [2]*http.Client{
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{Timeout: logQueryTimeout, Transport: newLokiTransport(false)},
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{Timeout: logQueryTimeout, Transport: newLokiTransport(true)},
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}
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func newLokiTransport(skipTLSVerify bool) *http.Transport {
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transport := http.DefaultTransport.(*http.Transport).Clone()
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transport.TLSClientConfig = &tls.Config{InsecureSkipVerify: skipTLSVerify} //nolint:gosec // 数据源显式配置
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return transport
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}
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// ==================== Loki HTTP 访问 ====================
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// lokiProxyGET 对数据源执行 GET;cluster-svc 使用 client-go 的认证传输访问 API Server Service Proxy。
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func lokiProxyGET(ctx context.Context, src *models.LogSource, path string, query url.Values) ([]byte, int, error) {
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if src.TargetType == "cluster-svc" {
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db := repository.GetDB()
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db.RLock()
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var cluster *models.Cluster
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for i := range db.Clusters {
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if src.ClusterID != nil && db.Clusters[i].ID == *src.ClusterID {
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c := db.Clusters[i]
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cluster = &c
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break
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}
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}
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db.RUnlock()
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if cluster == nil {
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return nil, 500, fmt.Errorf("数据源关联的集群不存在")
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}
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if !kubernetesNamespacePattern.MatchString(src.Namespace) || !kubernetesNamespacePattern.MatchString(src.Service) || src.Port < 1 || src.Port > 65535 {
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return nil, 500, fmt.Errorf("Loki 数据源的命名空间、Service 或端口无效")
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}
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config, err := clusterRESTConfig(cluster, logQueryTimeout)
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if err != nil {
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return nil, 500, err
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}
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client, err := rest.HTTPClientFor(config)
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if err != nil {
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return nil, 500, fmt.Errorf("创建 Kubernetes API 客户端失败: %w", err)
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}
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full := strings.TrimRight(config.Host, "/") + fmt.Sprintf("/api/v1/namespaces/%s/services/%s:%d/proxy%s",
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src.Namespace, src.Service, src.Port, path)
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if qs := query.Encode(); qs != "" {
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full += "?" + qs
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}
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req, err := http.NewRequestWithContext(ctx, http.MethodGet, full, nil)
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if err != nil {
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return nil, 500, err
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}
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resp, err := client.Do(req)
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if err != nil {
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return nil, 502, fmt.Errorf("Kubernetes API 代理查询失败: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(io.LimitReader(resp.Body, 32<<20))
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if err != nil {
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return nil, 502, err
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}
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if resp.StatusCode >= 400 {
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return body, resp.StatusCode, fmt.Errorf("Kubernetes API 代理返回 HTTP %d: %s", resp.StatusCode, truncateStr(string(body), 300))
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}
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return body, resp.StatusCode, nil
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}
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// url 直连
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if src.URL == "" {
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return nil, 500, fmt.Errorf("数据源未配置访问地址")
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}
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full := strings.TrimSuffix(src.URL, "/") + path
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if qs := query.Encode(); qs != "" {
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full += "?" + qs
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}
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req, err := http.NewRequestWithContext(ctx, http.MethodGet, full, nil)
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if err != nil {
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return nil, 500, err
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}
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applyLokiAuth(req, src)
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client := lokiHTTPClients[0]
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if src.SkipTLSVerify {
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client = lokiHTTPClients[1]
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}
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resp, err := client.Do(req)
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if err != nil {
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return nil, 502, err
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(io.LimitReader(resp.Body, 32<<20))
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if err != nil {
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return nil, 502, err
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}
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if resp.StatusCode >= 400 {
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return body, resp.StatusCode, fmt.Errorf("Loki 返回 HTTP %d: %s", resp.StatusCode, truncateStr(string(body), 300))
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}
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return body, resp.StatusCode, nil
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}
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func applyLokiAuth(req *http.Request, src *models.LogSource) {
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switch src.AuthType {
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case "basic":
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if pass, err := DecryptCred(src.BasicPass); err == nil {
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req.Header.Set("Authorization", "Basic "+
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base64.StdEncoding.EncodeToString([]byte(src.BasicUser+":"+pass)))
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}
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case "bearer":
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if token, err := DecryptCred(src.BearerToken); err == nil {
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req.Header.Set("Authorization", "Bearer "+token)
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}
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}
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for name, encrypted := range src.Headers {
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if validSourceHeader(name) {
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if value, err := DecryptCred(encrypted); err == nil {
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req.Header.Set(name, value)
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}
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}
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}
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}
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func truncateStr(s string, n int) string {
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if len(s) <= n {
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return s
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}
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return s[:n] + "..."
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}
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// ==================== 查询实现(契约对齐 aiops) ====================
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type LogEntryRow struct {
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Timestamp string `json:"timestamp"`
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TimestampNs string `json:"timestampNs"`
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Level string `json:"level"`
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Message string `json:"message"`
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Labels map[string]string `json:"labels"`
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}
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type LogQueryResult struct {
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Entries []LogEntryRow `json:"entries"`
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HasMore bool `json:"hasMore"`
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NextCursor string `json:"nextCursor"`
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}
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// ContextLogSelector uses stable stream identity labels. Loki can add per-entry
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// labels such as detected_level to query results; matching those would hide
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// adjacent lines whose detected level differs from the selected line.
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func ContextLogSelector(labels map[string]string) (string, error) {
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for key := range labels {
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if !ValidLogLabelName(key) {
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return "", fmt.Errorf("标签名无效")
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}
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}
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keys := []string{"cluster", "namespace", "app", "pod", "container", "filename"}
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if labels["pod"] == "" {
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keys = append(keys, "job", "instance", "host")
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}
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parts := make([]string, 0, len(keys))
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for _, key := range keys {
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if value := labels[key]; value != "" {
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encoded, _ := json.Marshal(value)
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parts = append(parts, key+"="+string(encoded))
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}
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}
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if len(parts) == 0 {
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for key, value := range labels {
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if value == "" || key == "detected_level" || key == "level" || strings.HasPrefix(key, "__") {
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continue
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}
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encoded, _ := json.Marshal(value)
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parts = append(parts, key+"="+string(encoded))
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}
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sort.Strings(parts)
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}
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if len(parts) == 0 {
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return "", fmt.Errorf("缺少可用于定位日志流的标签")
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}
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return "{" + strings.Join(parts, ",") + "}", nil
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}
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// QueryLokiLogs 日志查询:flatten streams → 统一行;cursor(最后一条纳秒时间戳)向后翻页
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func QueryLokiLogs(ctx context.Context, src *models.LogSource, query string, start, end int64, limit int, direction, cursor string) (*LogQueryResult, error) {
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if limit <= 0 {
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limit = 200
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}
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if limit > maxLogQueryLimit {
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limit = maxLogQueryLimit
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}
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if direction == "" {
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direction = "backward"
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}
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if end <= 0 {
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end = time.Now().UnixNano()
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}
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if start <= 0 {
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start = end - int64(time.Hour) // 默认最近 1 小时
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}
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if cursor != "" {
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if c, err := strconv.ParseInt(cursor, 10, 64); err == nil {
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if direction == "forward" {
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start = c + 1
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} else {
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end = c - 1
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}
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}
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}
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q := url.Values{}
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q.Set("query", query)
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q.Set("start", strconv.FormatInt(start, 10))
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q.Set("end", strconv.FormatInt(end, 10))
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q.Set("limit", strconv.Itoa(limit))
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q.Set("direction", direction)
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body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/query_range", q)
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if err != nil {
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return nil, err
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}
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var resp struct {
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Status string `json:"status"`
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Data struct {
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ResultType string `json:"resultType"`
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Result []struct {
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Stream map[string]string `json:"stream"`
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Values [][2]string `json:"values"`
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} `json:"result"`
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} `json:"data"`
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}
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if err := json.Unmarshal(body, &resp); err != nil {
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return nil, fmt.Errorf("解析 Loki 响应失败: %w", err)
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}
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entries := make([]LogEntryRow, 0, limit)
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var lastTs string
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for _, stream := range resp.Data.Result {
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for _, v := range stream.Values {
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entries = append(entries, LogEntryRow{
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Timestamp: formatLokiTimestamp(v[0]),
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TimestampNs: v[0],
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Level: detectLevel(stream.Stream, v[1]),
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Message: v[1],
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Labels: stream.Stream,
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})
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}
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}
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sort.SliceStable(entries, func(i, j int) bool {
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a, _ := strconv.ParseInt(entries[i].TimestampNs, 10, 64)
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b, _ := strconv.ParseInt(entries[j].TimestampNs, 10, 64)
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if direction == "forward" {
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return a < b
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}
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return a > b
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})
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if len(entries) > limit {
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entries = entries[:limit]
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}
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if len(entries) > 0 {
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lastTs = entries[len(entries)-1].TimestampNs
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}
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nextCursor := ""
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if len(entries) >= limit && lastTs != "" {
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if ts, err := strconv.ParseInt(strings.Split(lastTs, ".")[0], 10, 64); err == nil {
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nextCursor = strconv.FormatInt(ts, 10)
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}
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}
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return &LogQueryResult{Entries: entries, HasMore: nextCursor != "", NextCursor: nextCursor}, nil
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}
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// formatLokiTimestamp Loki 时间串(纳秒字符串/科学计数法)→ RFC3339
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func formatLokiTimestamp(ts string) string {
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if i := strings.IndexAny(ts, ".eE"); i > 0 {
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ts = ts[:i]
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}
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n, err := strconv.ParseInt(ts, 10, 64)
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if err != nil {
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return ts
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}
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// 自适应纳秒/微秒/毫秒/秒
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switch {
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case n > 1e18:
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return time.Unix(0, n).Format(time.RFC3339)
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case n > 1e15:
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return time.Unix(0, n*1e3).Format(time.RFC3339)
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case n > 1e12:
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return time.Unix(0, n*1e6).Format(time.RFC3339)
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case n > 1e9:
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return time.Unix(0, n*1e9).Format(time.RFC3339)
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default:
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return time.Unix(n, 0).Format(time.RFC3339)
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}
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}
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// detectLevel 优先取 level 标签;否则按行内容推断
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func detectLevel(labels map[string]string, line string) string {
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if lv, ok := labels["level"]; ok && lv != "" {
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return strings.ToLower(lv)
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}
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l := strings.ToLower(line)
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for _, p := range []string{"error", "err", "fatal", "panic"} {
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if strings.Contains(l, p) {
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return "error"
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}
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}
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if strings.Contains(l, "warn") {
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return "warn"
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}
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return "info"
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}
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// LokiLabels 标签名列表
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func LokiLabels(ctx context.Context, src *models.LogSource, start, end int64) ([]string, error) {
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q := url.Values{}
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if end > 0 {
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q.Set("end", strconv.FormatInt(end, 10))
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}
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if start > 0 {
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q.Set("start", strconv.FormatInt(start, 10))
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}
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body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/labels", q)
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if err != nil {
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return nil, err
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}
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var resp struct {
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Data []string `json:"data"`
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}
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if err := json.Unmarshal(body, &resp); err != nil {
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return nil, err
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}
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// Loki 在某 label 无值时会返回 {"data":null},Go nil slice 序列化成 JSON null,
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// 前端 setState(null) 后 .map() 直接抛 "Cannot read properties of null"。
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// 统一归一化为空切片,前端拿到的永远是数组。
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if resp.Data == nil {
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resp.Data = []string{}
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}
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return resp.Data, nil
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}
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// LokiLabelValues 标签值列表(query 只取 {...} selector 部分)
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func LokiLabelValues(ctx context.Context, src *models.LogSource, name, selector string, start, end int64) ([]string, error) {
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q := url.Values{}
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if s := extractStreamSelector(selector); s != "" && s != "{}" {
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q.Set("query", s)
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}
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if end > 0 {
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q.Set("end", strconv.FormatInt(end, 10))
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}
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if start > 0 {
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q.Set("start", strconv.FormatInt(start, 10))
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}
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||
body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/label/"+url.PathEscape(name)+"/values", q)
|
||
if err != nil {
|
||
return nil, err
|
||
}
|
||
var resp struct {
|
||
Data []string `json:"data"`
|
||
}
|
||
if err := json.Unmarshal(body, &resp); err != nil {
|
||
return nil, err
|
||
}
|
||
// 同上:label 无值时 Loki 返回 {"data":null},归一化为空切片,
|
||
// 避免前端 .map() 遇到 null 崩溃(快捷 LogQL 报错的直接原因)。
|
||
if resp.Data == nil {
|
||
resp.Data = []string{}
|
||
}
|
||
return resp.Data, nil
|
||
}
|
||
|
||
// extractStreamSelector 从 LogQL 中提取 {...} 部分(labels API 仅接受 stream selector)
|
||
func extractStreamSelector(query string) string {
|
||
i := strings.Index(query, "{")
|
||
if i < 0 {
|
||
return ""
|
||
}
|
||
j := strings.Index(query[i:], "}")
|
||
if j < 0 {
|
||
return ""
|
||
}
|
||
return query[i : i+j+1]
|
||
}
|
||
|
||
// LokiHistogram 日志量直方图:服务端包 sum(count_over_time(q[step]))
|
||
// 重查询护栏。设计依据:
|
||
// - 单条 27 天的 count_over_time 曾把 Loki 打到 OOMKilled(2Gi),
|
||
// 进而 Pod 不 Ready → Service 无端点 → 全站查询 502。
|
||
// - 所以"算不完的查询"必须在入口就拒绝,而不是硬跑 120 秒把实例拖垮。
|
||
const (
|
||
// 日志量统计最多统计 7 天;更长跨度请分段查(前端会提示缩小范围)
|
||
maxHistogramRange = 7 * 24 * time.Hour
|
||
// 重查询(histogram/metrics)单独的更短超时,避免长时间占用 CPU
|
||
// 90s:实测 astralx(约 370GB/天)15 分钟窗口单条 count_over_time
|
||
// exec 约 29s、外加排队时间,30s 必超时 → 分析页 502。
|
||
// 索引类查询(index/volume_range、index/stats)不受此限制,仍是毫秒级。
|
||
heavyQueryTimeout = 90 * time.Second
|
||
// 全局并发重查询上限。取 4 而不是 2:
|
||
// 日志分析页一次会并发 5 条 count_over_time,限制 2 会让大部分请求拿不到令牌。
|
||
maxConcurrentHeavyQueries = 4
|
||
// 拿不到令牌时最多排队 10 秒再拒绝。
|
||
// 原来"立即 429"会把分析页 5 条并发里的 3 条直接打回,
|
||
// 用户看到的就是"当前有较多日志量统计在进行"。
|
||
heavyQueryWait = 10 * time.Second
|
||
)
|
||
|
||
// ErrTooManyQueries 并发重查询超限(handler 映射为 429)
|
||
var ErrTooManyQueries = errors.New("当前有较多日志量统计在进行,请稍后重试")
|
||
|
||
// heavyQuerySem 全局重查询信号量
|
||
var heavyQuerySem = make(chan struct{}, maxConcurrentHeavyQueries)
|
||
|
||
// acquireHeavyQuery 先尝试立即获取;拿不到则最多排队 heavyQueryWait。
|
||
// 突发(如分析页并发 5 条)会自然排队消化,只有持续超载才返回 429。
|
||
func acquireHeavyQuery() bool {
|
||
select {
|
||
case heavyQuerySem <- struct{}{}:
|
||
return true
|
||
default:
|
||
}
|
||
timer := time.NewTimer(heavyQueryWait)
|
||
defer timer.Stop()
|
||
select {
|
||
case heavyQuerySem <- struct{}{}:
|
||
return true
|
||
case <-timer.C:
|
||
return false
|
||
}
|
||
}
|
||
|
||
func releaseHeavyQuery() { <-heavyQuerySem }
|
||
|
||
func LokiHistogram(ctx context.Context, src *models.LogSource, query string, start, end int64) ([]map[string]interface{}, error) {
|
||
if end <= 0 {
|
||
end = time.Now().UnixNano()
|
||
}
|
||
if start <= 0 {
|
||
start = end - int64(time.Hour)
|
||
}
|
||
span := end - start
|
||
if span > int64(maxHistogramRange) {
|
||
return nil, fmt.Errorf("统计范围过大(%.1f 天),最多支持 %.0f 天;请缩小时间范围后重试",
|
||
float64(span)/float64(24*time.Hour), maxHistogramRange.Hours()/24)
|
||
}
|
||
// 并发护栏:拿不到令牌立刻返回,不排队(排队只会让用户等更久)
|
||
if !acquireHeavyQuery() {
|
||
return nil, ErrTooManyQueries
|
||
}
|
||
defer releaseHeavyQuery()
|
||
|
||
// 独立超时:Loki 侧再慢也不会超过 30s,防止单查询长期占用实例
|
||
ctx, cancel := context.WithTimeout(ctx, heavyQueryTimeout)
|
||
defer cancel()
|
||
|
||
step := pickHistogramStep(span)
|
||
|
||
// ── 首选:Loki 官方的 index/volume_range ──────────────────────────────
|
||
// 它只读 TSDB 索引里的 chunk 元数据(字节数),**不解码日志内容**。
|
||
// 实测同一条件 24 小时:count_over_time 53s 超时失败,volume_range 111ms。
|
||
// 返回单位是「字节」,所以 bucket 里带 unit=bytes,前端据此格式化为 KB/MB/GB。
|
||
q := url.Values{}
|
||
q.Set("query", query)
|
||
q.Set("start", strconv.FormatInt(start, 10))
|
||
q.Set("end", strconv.FormatInt(end, 10))
|
||
q.Set("step", step)
|
||
q.Set("limit", "50")
|
||
if body, status, err := lokiProxyGET(ctx, src, "/loki/api/v1/index/volume_range", q); err == nil && status < 400 {
|
||
if buckets, ok := parseVolumeBuckets(body); ok {
|
||
return buckets, nil
|
||
}
|
||
}
|
||
// 老版本 Loki 没有 volume_range(404/400)时回退到 count_over_time
|
||
return lokiHistogramByCount(ctx, src, query, step, start, end)
|
||
}
|
||
|
||
// parseVolumeBuckets 解析 index/volume_range 的 matrix 响应。
|
||
// 成功但无数据也返回 ok=true(空图),只有结构不对才 ok=false 触发回退。
|
||
func parseVolumeBuckets(body []byte) ([]map[string]interface{}, bool) {
|
||
var resp struct {
|
||
Data struct {
|
||
Result []struct {
|
||
Values [][2]interface{} `json:"values"`
|
||
} `json:"result"`
|
||
} `json:"data"`
|
||
}
|
||
if err := json.Unmarshal(body, &resp); err != nil {
|
||
return nil, false
|
||
}
|
||
buckets := []map[string]interface{}{}
|
||
if len(resp.Data.Result) > 0 {
|
||
for _, v := range resp.Data.Result[0].Values {
|
||
tsf, _ := strconv.ParseFloat(fmt.Sprintf("%v", v[0]), 64)
|
||
bytes, _ := strconv.ParseFloat(fmt.Sprintf("%v", v[1]), 64)
|
||
buckets = append(buckets, map[string]interface{}{
|
||
"timestamp": time.Unix(int64(tsf), 0).Format(time.RFC3339),
|
||
"count": int64(bytes),
|
||
"unit": "bytes",
|
||
})
|
||
}
|
||
}
|
||
return buckets, true
|
||
}
|
||
|
||
// lokiHistogramByCount 回退实现:count_over_time 逐点统计「条数」。
|
||
// 代价高(要真读 chunk),只在 volume_range 不可用时使用。
|
||
func lokiHistogramByCount(ctx context.Context, src *models.LogSource, query, step string, start, end int64) ([]map[string]interface{}, error) {
|
||
wrapped := fmt.Sprintf("sum(count_over_time(%s[%s]))", query, step)
|
||
q := url.Values{}
|
||
q.Set("query", wrapped)
|
||
q.Set("start", strconv.FormatInt(start, 10))
|
||
q.Set("end", strconv.FormatInt(end, 10))
|
||
q.Set("step", step)
|
||
body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/query_range", q)
|
||
if err != nil {
|
||
return nil, err
|
||
}
|
||
var resp struct {
|
||
Data struct {
|
||
Result []struct {
|
||
Values [][2]interface{} `json:"values"`
|
||
} `json:"result"`
|
||
} `json:"data"`
|
||
}
|
||
if err := json.Unmarshal(body, &resp); err != nil {
|
||
return nil, err
|
||
}
|
||
buckets := []map[string]interface{}{}
|
||
if len(resp.Data.Result) > 0 {
|
||
for _, v := range resp.Data.Result[0].Values {
|
||
tsf, _ := strconv.ParseFloat(fmt.Sprintf("%v", v[0]), 64)
|
||
cnt, _ := strconv.ParseFloat(fmt.Sprintf("%v", v[1]), 64)
|
||
buckets = append(buckets, map[string]interface{}{
|
||
"timestamp": time.Unix(int64(tsf), 0).Format(time.RFC3339),
|
||
"count": int64(cnt),
|
||
"unit": "entries",
|
||
})
|
||
}
|
||
}
|
||
return buckets, nil
|
||
}
|
||
|
||
// LokiStats 用官方 /loki/api/v1/index/stats 取「条数/字节/块数」。
|
||
//
|
||
// 为什么不数日志条数:index/stats 只读 TSDB 索引里的 chunk 元数据,
|
||
// 不解码日志内容。实测同一 app 24 小时:count_over_time 53s 失败,
|
||
// index/stats 1.3s。用它来算「共 N 条 / 共 M 页」成本可以忽略。
|
||
type LokiStats struct {
|
||
Streams int64 `json:"streams"`
|
||
Chunks int64 `json:"chunks"`
|
||
Bytes int64 `json:"bytes"`
|
||
Entries int64 `json:"entries"`
|
||
}
|
||
|
||
func LokiStatsFor(ctx context.Context, src *models.LogSource, query string, start, end int64) (*LokiStats, error) {
|
||
if end <= 0 {
|
||
end = time.Now().UnixNano()
|
||
}
|
||
if start <= 0 {
|
||
start = end - int64(time.Hour)
|
||
}
|
||
ctx, cancel := context.WithTimeout(ctx, 20*time.Second)
|
||
defer cancel()
|
||
|
||
q := url.Values{}
|
||
q.Set("query", query)
|
||
q.Set("start", strconv.FormatInt(start, 10))
|
||
q.Set("end", strconv.FormatInt(end, 10))
|
||
|
||
body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/index/stats", q)
|
||
if err != nil {
|
||
return nil, err
|
||
}
|
||
var st LokiStats
|
||
if err := json.Unmarshal(body, &st); err != nil {
|
||
return nil, err
|
||
}
|
||
return &st, nil
|
||
}
|
||
|
||
// MetricSeriesPoint 指标序列上的一个采样点
|
||
type MetricSeriesPoint struct {
|
||
Timestamp string `json:"timestamp"`
|
||
Value float64 `json:"value"`
|
||
}
|
||
|
||
// MetricSeries 一条按标签分组的指标序列(如 sum by (app)(...) 的每个 app 一条)
|
||
type MetricSeries struct {
|
||
Labels map[string]string `json:"labels"`
|
||
Points []MetricSeriesPoint `json:"points"`
|
||
}
|
||
|
||
// LokiMetrics 通用 LogQL 指标查询(日志分析页用):query 为完整指标表达式,
|
||
// 其中所有 [$step] 占位符替换为按时间跨度自适应的步长后走 query_range,
|
||
// 返回矩阵多序列(直方图只取单序列,这里按 by (...) 分组整表返回)
|
||
func LokiMetrics(ctx context.Context, src *models.LogSource, query string, start, end int64) ([]MetricSeries, error) {
|
||
if end <= 0 {
|
||
end = time.Now().UnixNano()
|
||
}
|
||
if start <= 0 {
|
||
start = end - int64(time.Hour)
|
||
}
|
||
// 与 histogram 共用护栏:并发限 2、单次 30s 超时,避免 analysis 页
|
||
// 多个卡片同时发起 count_over_time 把单实例 Loki 打满。
|
||
if !acquireHeavyQuery() {
|
||
return nil, ErrTooManyQueries
|
||
}
|
||
defer releaseHeavyQuery()
|
||
ctx, cancel := context.WithTimeout(ctx, heavyQueryTimeout)
|
||
defer cancel()
|
||
|
||
step := pickHistogramStep(end - start)
|
||
wrapped := strings.ReplaceAll(query, "[$step]", "["+step+"]")
|
||
|
||
q := url.Values{}
|
||
q.Set("query", wrapped)
|
||
q.Set("start", strconv.FormatInt(start, 10))
|
||
q.Set("end", strconv.FormatInt(end, 10))
|
||
q.Set("step", step)
|
||
body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/query_range", q)
|
||
if err != nil {
|
||
return nil, err
|
||
}
|
||
var resp struct {
|
||
Data struct {
|
||
Result []struct {
|
||
Metric map[string]string `json:"metric"`
|
||
Values [][2]interface{} `json:"values"`
|
||
} `json:"result"`
|
||
} `json:"data"`
|
||
}
|
||
if err := json.Unmarshal(body, &resp); err != nil {
|
||
return nil, err
|
||
}
|
||
series := make([]MetricSeries, 0, len(resp.Data.Result))
|
||
for _, item := range resp.Data.Result {
|
||
points := make([]MetricSeriesPoint, 0, len(item.Values))
|
||
for _, v := range item.Values {
|
||
// metric API 的 ts 为秒级浮点数(如 1.79e+09)
|
||
tsf, _ := strconv.ParseFloat(fmt.Sprintf("%v", v[0]), 64)
|
||
cnt, _ := strconv.ParseFloat(fmt.Sprintf("%v", v[1]), 64)
|
||
points = append(points, MetricSeriesPoint{
|
||
Timestamp: time.Unix(int64(tsf), 0).Format(time.RFC3339),
|
||
Value: cnt,
|
||
})
|
||
}
|
||
if len(points) == 0 {
|
||
continue
|
||
}
|
||
series = append(series, MetricSeries{Labels: item.Metric, Points: points})
|
||
}
|
||
return series, nil
|
||
}
|
||
|
||
// pickHistogramStep 按时间跨度自适应步长(aiops 同款)
|
||
func pickHistogramStep(spanNano int64) string {
|
||
span := time.Duration(spanNano)
|
||
switch {
|
||
case span <= 15*time.Minute:
|
||
return "30s"
|
||
case span <= time.Hour:
|
||
return "1m"
|
||
case span <= 6*time.Hour:
|
||
return "5m"
|
||
case span <= 24*time.Hour:
|
||
return "15m"
|
||
case span <= 7*24*time.Hour:
|
||
return "1h"
|
||
default:
|
||
return "6h"
|
||
}
|
||
}
|
||
|
||
// DeploymentReady 部署级就绪探测:按部署名匹配自动注册的数据源,经其访问 Loki /ready
|
||
func DeploymentReady(ctx context.Context, deploymentName string) (bool, string) {
|
||
if deploymentName == "" {
|
||
return false, ""
|
||
}
|
||
db := repository.GetDB()
|
||
db.RLock()
|
||
var src *models.LogSource
|
||
for i := range db.LogSources {
|
||
if db.LogSources[i].Name == deploymentName {
|
||
s := db.LogSources[i]
|
||
src = &s
|
||
break
|
||
}
|
||
}
|
||
db.RUnlock()
|
||
if src == nil {
|
||
return false, "未注册数据源"
|
||
}
|
||
if LokiReady(ctx, src) {
|
||
return true, ""
|
||
}
|
||
return false, "Loki 未就绪"
|
||
}
|
||
|
||
// LokiReady Loki /ready 探活(部署卡片/查询页状态点)
|
||
func LokiReady(ctx context.Context, src *models.LogSource) bool {
|
||
body, code, err := lokiProxyGET(ctx, src, "/ready", nil)
|
||
if err != nil || code != 200 {
|
||
return false
|
||
}
|
||
return strings.Contains(strings.ToLower(string(body)), "ready")
|
||
}
|
||
|
||
// TestLogSource 数据源连通性(/loki/api/v1/labels 探活)
|
||
func TestLogSource(ctx context.Context, src *models.LogSource) map[string]interface{} {
|
||
labels, err := LokiLabels(ctx, src, 0, 0)
|
||
if err != nil {
|
||
return map[string]interface{}{"success": false, "message": err.Error()}
|
||
}
|
||
return map[string]interface{}{
|
||
"success": true,
|
||
"message": fmt.Sprintf("连接成功,发现 %d 个标签", len(labels)),
|
||
"labels": labels,
|
||
}
|
||
}
|