Files
LokiStack/backend/services/log_query.go
T
opsx 6364a70215 tune(logs): 每页条数默认 1000→200,上下文默认 5 条(依据实测数据)
=== 一、每页条数:1000 太多,实测依据 ===
1. 每次查询响应体 671 B/条 → 1000 条 = **655 KB**
2. 前端结果表**没有虚拟滚动**(无 react-window / tanstack virtual),
   1000 行会全部渲染成 DOM 节点 → 滚动卡顿
3. 后端 maxLogQueryLimit 本来就是 1000,我上一版 UI 给了 2000/5000 选项
   是"假选项"(会被静默收敛成 1000),本次去掉
4. 密度参考:cex-ipublic-gateway 每天 3.28 亿条 ≈ **3800 条/秒**,
   1000 条只覆盖 0.26 秒 —— 靠翻页浏览无意义,应靠时间范围/LogQL 收窄

调整:默认 1000 → **200**(后端自身默认值,约 131KB);选项 [100/200/500/1000]
提示文案改为"日志量大时先收窄时间范围或加过滤,比调大每页条数更有效"

=== 二、上下文档数:1 条不够,默认用 5 ===
实测一个 SpringBoot 异常被拆成 **4 条独立日志**:
  16:15:35.259 [reactor-http-epoll-3] ERROR ...AbstractErrorWebExceptionHandler
  org.springframework.web.reactive.resource.NoResourceFoundException: 404 NOT_FOUND
    Suppressed: reactor.core.publisher.FluxOnAssembly$OnAssemblyException:
    *__checkpoint ⇢ HTTP HEAD "/" [ExceptionHandlingWebHandler]
→ 前后各 1 条(共 2 条)连一个完整异常都拼不出来
→ 前后各 5 条(共 10 条)能看到"异常 + 前后业务日志",是排障的最小可用集
→ 完整 Java 堆栈(20+ 帧)需要 20-50 条

调整:默认 2 → **5**;选项增加 1 → [1/2/5/10/20/50]

镜像:lghost/lokistack:latest + v0.1 = sha256:2bcc86b8e30d
2026-10-28 16:18:48 +00:00

727 lines
22 KiB
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package services
// 日志查询代理 — 后端代表前端访问 Loki HTTP API。
// cluster-svc 型经 kube-apiserver service proxy(不依赖 ClusterIP 直通与集群 DNS);
// url 型直连。契约参照 aiops 日志中心(query/labels/values/histogram + cursor 翻页)。
import (
"context"
"crypto/tls"
"encoding/base64"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"net/url"
"sort"
"strconv"
"strings"
"time"
"k8s.io/client-go/rest"
"lokistack/models"
"lokistack/repository"
)
// maxLogQueryLimit 单页硬上限。依据:实测每条日志约 671B——
// 1000 条 ≈ 655KB 响应;而前端结果表**没有虚拟滚动**,1000 行会全部渲染成
// DOM 节点导致卡顿。前端下拉只给到 1000,超过会被这里静默收敛。
const maxLogQueryLimit = 1000
const logQueryTimeout = 120 * time.Second
var lokiHTTPClients = [2]*http.Client{
{Timeout: logQueryTimeout, Transport: newLokiTransport(false)},
{Timeout: logQueryTimeout, Transport: newLokiTransport(true)},
}
func newLokiTransport(skipTLSVerify bool) *http.Transport {
transport := http.DefaultTransport.(*http.Transport).Clone()
transport.TLSClientConfig = &tls.Config{InsecureSkipVerify: skipTLSVerify} //nolint:gosec // 数据源显式配置
return transport
}
// ==================== Loki HTTP 访问 ====================
// 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。
func lokiProxyGET(ctx context.Context, src *models.LogSource, path string, query url.Values) ([]byte, int, error) {
if src.TargetType == "cluster-svc" {
db := repository.GetDB()
db.RLock()
var cluster *models.Cluster
for i := range db.Clusters {
if src.ClusterID != nil && db.Clusters[i].ID == *src.ClusterID {
c := db.Clusters[i]
cluster = &c
break
}
}
db.RUnlock()
if cluster == nil {
return nil, 500, fmt.Errorf("数据源关联的集群不存在")
}
if !kubernetesNamespacePattern.MatchString(src.Namespace) || !kubernetesNamespacePattern.MatchString(src.Service) || src.Port < 1 || src.Port > 65535 {
return nil, 500, fmt.Errorf("Loki 数据源的命名空间、Service 或端口无效")
}
config, err := clusterRESTConfig(cluster, logQueryTimeout)
if err != nil {
return nil, 500, err
}
client, err := rest.HTTPClientFor(config)
if err != nil {
return nil, 500, fmt.Errorf("创建 Kubernetes API 客户端失败: %w", err)
}
full := strings.TrimRight(config.Host, "/") + fmt.Sprintf("/api/v1/namespaces/%s/services/%s:%d/proxy%s",
src.Namespace, src.Service, src.Port, path)
if qs := query.Encode(); qs != "" {
full += "?" + qs
}
req, err := http.NewRequestWithContext(ctx, http.MethodGet, full, nil)
if err != nil {
return nil, 500, err
}
resp, err := client.Do(req)
if err != nil {
return nil, 502, fmt.Errorf("Kubernetes API 代理查询失败: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(io.LimitReader(resp.Body, 32<<20))
if err != nil {
return nil, 502, err
}
if resp.StatusCode >= 400 {
return body, resp.StatusCode, fmt.Errorf("Kubernetes API 代理返回 HTTP %d: %s", resp.StatusCode, truncateStr(string(body), 300))
}
return body, resp.StatusCode, nil
}
// url 直连
if src.URL == "" {
return nil, 500, fmt.Errorf("数据源未配置访问地址")
}
full := strings.TrimSuffix(src.URL, "/") + path
if qs := query.Encode(); qs != "" {
full += "?" + qs
}
req, err := http.NewRequestWithContext(ctx, http.MethodGet, full, nil)
if err != nil {
return nil, 500, err
}
applyLokiAuth(req, src)
client := lokiHTTPClients[0]
if src.SkipTLSVerify {
client = lokiHTTPClients[1]
}
resp, err := client.Do(req)
if err != nil {
return nil, 502, err
}
defer resp.Body.Close()
body, err := io.ReadAll(io.LimitReader(resp.Body, 32<<20))
if err != nil {
return nil, 502, err
}
if resp.StatusCode >= 400 {
return body, resp.StatusCode, fmt.Errorf("Loki 返回 HTTP %d: %s", resp.StatusCode, truncateStr(string(body), 300))
}
return body, resp.StatusCode, nil
}
func applyLokiAuth(req *http.Request, src *models.LogSource) {
switch src.AuthType {
case "basic":
if pass, err := DecryptCred(src.BasicPass); err == nil {
req.Header.Set("Authorization", "Basic "+
base64.StdEncoding.EncodeToString([]byte(src.BasicUser+":"+pass)))
}
case "bearer":
if token, err := DecryptCred(src.BearerToken); err == nil {
req.Header.Set("Authorization", "Bearer "+token)
}
}
for name, encrypted := range src.Headers {
if validSourceHeader(name) {
if value, err := DecryptCred(encrypted); err == nil {
req.Header.Set(name, value)
}
}
}
}
func truncateStr(s string, n int) string {
if len(s) <= n {
return s
}
return s[:n] + "..."
}
// ==================== 查询实现(契约对齐 aiops) ====================
type LogEntryRow struct {
Timestamp string `json:"timestamp"`
TimestampNs string `json:"timestampNs"`
Level string `json:"level"`
Message string `json:"message"`
Labels map[string]string `json:"labels"`
}
type LogQueryResult struct {
Entries []LogEntryRow `json:"entries"`
HasMore bool `json:"hasMore"`
NextCursor string `json:"nextCursor"`
}
// ContextLogSelector uses stable stream identity labels. Loki can add per-entry
// labels such as detected_level to query results; matching those would hide
// adjacent lines whose detected level differs from the selected line.
func ContextLogSelector(labels map[string]string) (string, error) {
for key := range labels {
if !ValidLogLabelName(key) {
return "", fmt.Errorf("标签名无效")
}
}
keys := []string{"cluster", "namespace", "app", "pod", "container", "filename"}
if labels["pod"] == "" {
keys = append(keys, "job", "instance", "host")
}
parts := make([]string, 0, len(keys))
for _, key := range keys {
if value := labels[key]; value != "" {
encoded, _ := json.Marshal(value)
parts = append(parts, key+"="+string(encoded))
}
}
if len(parts) == 0 {
for key, value := range labels {
if value == "" || key == "detected_level" || key == "level" || strings.HasPrefix(key, "__") {
continue
}
encoded, _ := json.Marshal(value)
parts = append(parts, key+"="+string(encoded))
}
sort.Strings(parts)
}
if len(parts) == 0 {
return "", fmt.Errorf("缺少可用于定位日志流的标签")
}
return "{" + strings.Join(parts, ",") + "}", nil
}
// QueryLokiLogs 日志查询:flatten streams → 统一行;cursor(最后一条纳秒时间戳)向后翻页
func QueryLokiLogs(ctx context.Context, src *models.LogSource, query string, start, end int64, limit int, direction, cursor string) (*LogQueryResult, error) {
if limit <= 0 {
limit = 200
}
if limit > maxLogQueryLimit {
limit = maxLogQueryLimit
}
if direction == "" {
direction = "backward"
}
if end <= 0 {
end = time.Now().UnixNano()
}
if start <= 0 {
start = end - int64(time.Hour) // 默认最近 1 小时
}
if cursor != "" {
if c, err := strconv.ParseInt(cursor, 10, 64); err == nil {
if direction == "forward" {
start = c + 1
} else {
end = c - 1
}
}
}
q := url.Values{}
q.Set("query", query)
q.Set("start", strconv.FormatInt(start, 10))
q.Set("end", strconv.FormatInt(end, 10))
q.Set("limit", strconv.Itoa(limit))
q.Set("direction", direction)
body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/query_range", q)
if err != nil {
return nil, err
}
var resp struct {
Status string `json:"status"`
Data struct {
ResultType string `json:"resultType"`
Result []struct {
Stream map[string]string `json:"stream"`
Values [][2]string `json:"values"`
} `json:"result"`
} `json:"data"`
}
if err := json.Unmarshal(body, &resp); err != nil {
return nil, fmt.Errorf("解析 Loki 响应失败: %w", err)
}
entries := make([]LogEntryRow, 0, limit)
var lastTs string
for _, stream := range resp.Data.Result {
for _, v := range stream.Values {
entries = append(entries, LogEntryRow{
Timestamp: formatLokiTimestamp(v[0]),
TimestampNs: v[0],
Level: detectLevel(stream.Stream, v[1]),
Message: v[1],
Labels: stream.Stream,
})
}
}
sort.SliceStable(entries, func(i, j int) bool {
a, _ := strconv.ParseInt(entries[i].TimestampNs, 10, 64)
b, _ := strconv.ParseInt(entries[j].TimestampNs, 10, 64)
if direction == "forward" {
return a < b
}
return a > b
})
if len(entries) > limit {
entries = entries[:limit]
}
if len(entries) > 0 {
lastTs = entries[len(entries)-1].TimestampNs
}
nextCursor := ""
if len(entries) >= limit && lastTs != "" {
if ts, err := strconv.ParseInt(strings.Split(lastTs, ".")[0], 10, 64); err == nil {
nextCursor = strconv.FormatInt(ts, 10)
}
}
return &LogQueryResult{Entries: entries, HasMore: nextCursor != "", NextCursor: nextCursor}, nil
}
// formatLokiTimestamp Loki 时间串(纳秒字符串/科学计数法)→ RFC3339
func formatLokiTimestamp(ts string) string {
if i := strings.IndexAny(ts, ".eE"); i > 0 {
ts = ts[:i]
}
n, err := strconv.ParseInt(ts, 10, 64)
if err != nil {
return ts
}
// 自适应纳秒/微秒/毫秒/秒
switch {
case n > 1e18:
return time.Unix(0, n).Format(time.RFC3339)
case n > 1e15:
return time.Unix(0, n*1e3).Format(time.RFC3339)
case n > 1e12:
return time.Unix(0, n*1e6).Format(time.RFC3339)
case n > 1e9:
return time.Unix(0, n*1e9).Format(time.RFC3339)
default:
return time.Unix(n, 0).Format(time.RFC3339)
}
}
// detectLevel 优先取 level 标签;否则按行内容推断
func detectLevel(labels map[string]string, line string) string {
if lv, ok := labels["level"]; ok && lv != "" {
return strings.ToLower(lv)
}
l := strings.ToLower(line)
for _, p := range []string{"error", "err", "fatal", "panic"} {
if strings.Contains(l, p) {
return "error"
}
}
if strings.Contains(l, "warn") {
return "warn"
}
return "info"
}
// LokiLabels 标签名列表
func LokiLabels(ctx context.Context, src *models.LogSource, start, end int64) ([]string, error) {
q := url.Values{}
if end > 0 {
q.Set("end", strconv.FormatInt(end, 10))
}
if start > 0 {
q.Set("start", strconv.FormatInt(start, 10))
}
body, _, err := lokiProxyGET(ctx, src, "/loki/api/v1/labels", 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
}
// Loki 在某 label 无值时会返回 {"data":null},Go nil slice 序列化成 JSON null,
// 前端 setState(null) 后 .map() 直接抛 "Cannot read properties of null"。
// 统一归一化为空切片,前端拿到的永远是数组。
if resp.Data == nil {
resp.Data = []string{}
}
return resp.Data, nil
}
// LokiLabelValues 标签值列表(query 只取 {...} selector 部分)
func LokiLabelValues(ctx context.Context, src *models.LogSource, name, selector string, start, end int64) ([]string, error) {
q := url.Values{}
if s := extractStreamSelector(selector); s != "" && s != "{}" {
q.Set("query", s)
}
if end > 0 {
q.Set("end", strconv.FormatInt(end, 10))
}
if start > 0 {
q.Set("start", strconv.FormatInt(start, 10))
}
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
heavyQueryTimeout = 30 * time.Second
// 全局并发重查询上限:超过直接快速失败,保护单实例 Loki
maxConcurrentHeavyQueries = 2
)
// 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)
func acquireHeavyQuery() bool {
select {
case heavyQuerySem <- struct{}{}:
return true
default:
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,
}
}