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UHD_Media_Tool/apps/server/src/modules/system/health.ts
T

490 lines
18 KiB
TypeScript

import { readdir, stat } from "node:fs/promises";
import { checkRoot, DEFAULT_ROOT_SENTINEL, type DiskUsage, diskUsage } from "@umt/adapters";
import type {
HealthLevel,
SystemDisk,
SystemHealth,
SystemHealthHistory,
SystemMount,
SystemProcess,
} from "@umt/contracts";
import { type DB, type Kysely, type Selectable, sql } from "@umt/db";
import { CURRENT_HOST_WINDOW_MS, HEARTBEAT_ROW_RETENTION_MS, HEARTBEAT_STALE_MS } from "./heartbeat.ts";
// GET /system/health 各段的取数(W9-I)。每段独立 try/catch:一段失败只把该段标 unknown,不让整页 500。
// 慢 IO(statfs / 哨兵检查)都带超时:挂载卡死时只标 timeout,不拖住请求。
export interface HealthDeps {
db: Kysely<DB>;
engineSchema: string;
dataDir: string;
/** 本进程(处理请求的 api)信息 */
self: { version: string; startedAt: Date; sseConnections: number; instanceId?: string };
/** 磁盘阈值(百分比):warn / critical */
thresholds: { warnPercent: number; criticalPercent: number };
/** 测试注入 */
now?: () => Date;
diskUsage?: (path: string) => Promise<DiskUsage>;
checkRoot?: typeof checkRoot;
/** 单个路径 IO 检查超时(ms),缺省 3000 */
ioTimeoutMs?: number;
/** 存储段(CACHE-2);不给时该段为 unknown */
storage?: () => Promise<{ level: HealthLevel; alerts: string[] }>;
}
const LEVEL_ORDER: HealthLevel[] = ["ok", "warn", "critical"];
export function worst(levels: HealthLevel[]): HealthLevel {
let w: HealthLevel = "ok";
for (const l of levels) if (l !== "unknown" && LEVEL_ORDER.indexOf(l) > LEVEL_ORDER.indexOf(w)) w = l;
return w;
}
class Timeout extends Error {}
function withTimeout<T>(p: Promise<T>, ms: number): Promise<T> {
let t: ReturnType<typeof setTimeout> | undefined;
return Promise.race([
p,
new Promise<T>((_, reject) => {
t = setTimeout(() => reject(new Timeout("timeout")), ms);
}),
]).finally(() => clearTimeout(t));
}
const toDate = (v: Date | string) => (v instanceof Date ? v : new Date(v));
const num = (v: unknown) => (v == null ? null : Number(v));
// ── 进程 ──
type HeartbeatRow = Selectable<DB["process_heartbeat"]>;
function toProcess(r: HeartbeatRow, now: Date): SystemProcess {
const beat = toDate(r.last_beat_at);
const age = Math.max(0, now.getTime() - beat.getTime());
const extra = (r.extra ?? {}) as Record<string, unknown>;
const conc = (r.concurrency ?? {}) as { io?: number; agent?: number };
const sse = extra.sseConnections;
return {
instanceId: r.instance_id,
processKind: r.process_kind,
pid: r.pid,
host: r.host,
version: r.version,
startedAt: toDate(r.started_at).toISOString(),
lastBeatAt: beat.toISOString(),
beatAgeSec: Math.round(age / 100) / 10,
stale: age > HEARTBEAT_STALE_MS,
stoppedAt: r.stopped_at ? toDate(r.stopped_at).toISOString() : null,
eventLoopLagMs: r.event_loop_lag_ms,
eventLoopLagMaxMs: r.event_loop_lag_max_ms,
concurrency: {
...(typeof conc.io === "number" ? { io: conc.io } : {}),
...(typeof conc.agent === "number" ? { agent: conc.agent } : {}),
},
runningRuns: r.running_runs,
sseConnections: typeof sse === "number" ? sse : null,
extra,
};
}
/**
* 把心跳行分成当前实例与已下线实例:
* - 当前 host = 最近 10 分钟内有心跳且没标 stopped_at 的行所在 host(容器重建后 host 会变);
* - 当前实例 = 当前 host 上、没标 stopped_at、且是同 host 同 kind 里最新启动的那一行;
* - 其余(已正常退出、host 已不在、被同 host 新进程替换)都算已下线实例,不参与 stale 判定与告警。
*/
export function splitProcesses(
ps: SystemProcess[],
now: Date,
): { processes: SystemProcess[]; retiredProcesses: SystemProcess[] } {
const alive = ps.filter((p) => !p.stoppedAt);
const hosts = new Set(
alive.filter((p) => now.getTime() - Date.parse(p.lastBeatAt) <= CURRENT_HOST_WINDOW_MS).map((p) => p.host),
);
const newest = new Map<string, SystemProcess>();
for (const p of alive) {
if (!hosts.has(p.host)) continue;
const k = `${p.host}\u0000${p.processKind}`;
const cur = newest.get(k);
if (!cur || Date.parse(p.startedAt) > Date.parse(cur.startedAt)) newest.set(k, p);
}
const current = new Set([...newest.values()].map((p) => p.instanceId));
const processes = ps.filter((p) => current.has(p.instanceId));
const retiredProcesses = ps
.filter((p) => !current.has(p.instanceId))
.sort((a, b) => Date.parse(b.lastBeatAt) - Date.parse(a.lastBeatAt));
return { processes, retiredProcesses };
}
export async function loadProcesses(
db: Kysely<DB>,
now: Date,
): Promise<{ processes: SystemProcess[]; retiredProcesses: SystemProcess[] }> {
const rows = await db
.selectFrom("process_heartbeat")
.selectAll()
.where("last_beat_at", ">", new Date(now.getTime() - HEARTBEAT_ROW_RETENTION_MS))
.orderBy("process_kind")
.orderBy("instance_id")
.execute();
return splitProcesses(
rows.map((r) => toProcess(r, now)),
now,
);
}
/** 进程段的档位(只看当前实例):有 stale 或延迟 ≥ 1s 为 warn;延迟 ≥ 5s 为 critical;没有任何 worker 心跳为 warn */
export function processLevel(ps: SystemProcess[]): HealthLevel {
const live = ps.filter((p) => !p.stale);
const levels: HealthLevel[] = [];
if (ps.some((p) => p.stale)) levels.push("warn");
if (!live.some((p) => p.processKind !== "api")) levels.push("warn");
for (const p of live) {
if (p.eventLoopLagMaxMs >= 5000) levels.push("critical");
else if (p.eventLoopLagMaxMs >= 1000) levels.push("warn");
}
return worst(levels);
}
// ── DB ──
export async function loadDb(db: Kysely<DB>): Promise<SystemHealth["db"]> {
try {
const t0 = performance.now();
await sql`select 1`.execute(db);
const latencyMs = Math.round((performance.now() - t0) * 10) / 10;
const size = await sql<{ size: string }>`select pg_database_size(current_database())::text as size`.execute(db);
const conns = await sql<{ total: number; active: number; idle: number; iit: number; max: number }>`
select count(*)::int as total,
count(*) filter (where state = 'active')::int as active,
count(*) filter (where state = 'idle')::int as idle,
count(*) filter (where state like 'idle in transaction%')::int as iit,
current_setting('max_connections')::int as max
from pg_stat_activity where datname = current_database()`.execute(db);
const c = conns.rows[0]!;
const usage = c.max > 0 ? c.total / c.max : 0;
const level: HealthLevel =
latencyMs >= 500 || usage >= 0.9 ? "critical" : latencyMs >= 100 || usage >= 0.75 || c.iit > 5 ? "warn" : "ok";
return {
level,
latencyMs,
sizeBytes: Number(size.rows[0]?.size ?? 0),
connections: { total: c.total, active: c.active, idle: c.idle, idleInTransaction: c.iit, max: c.max },
error: null,
};
} catch (err) {
return { level: "critical", latencyMs: null, sizeBytes: null, connections: null, error: (err as Error).message };
}
}
// ── 磁盘与挂载根 ──
interface PathTarget {
scope: SystemDisk["scope"];
id: string | null;
name: string;
path: string;
}
export async function loadPathTargets(db: Kysely<DB>) {
const roots = await db
.selectFrom("library_root")
.select(["id", "name", "local_path", "sentinel_file"])
.where("enabled", "=", true)
.orderBy("name")
.execute();
const maps = await db
.selectFrom("path_mapping")
.leftJoin("downloader_instance", "downloader_instance.id", "path_mapping.downloader_instance_id")
.select([
"path_mapping.id as id",
"path_mapping.remote_prefix as remote",
"path_mapping.local_prefix as local",
"downloader_instance.name as downloader",
])
.where("path_mapping.enabled", "=", true)
.where("path_mapping.view_kind", "=", "downloader")
.orderBy("path_mapping.local_prefix")
.execute();
return { roots, maps };
}
export function diskLevel(ratio: number, t: HealthDeps["thresholds"]): HealthLevel {
const pct = ratio * 100;
return pct >= t.criticalPercent ? "critical" : pct >= t.warnPercent ? "warn" : "ok";
}
export async function loadDisksAndMounts(d: HealthDeps): Promise<{ disks: SystemDisk[]; mounts: SystemMount[] }> {
const usage = d.diskUsage ?? diskUsage;
const check = d.checkRoot ?? checkRoot;
const ms = d.ioTimeoutMs ?? 3000;
const { roots, maps } = await loadPathTargets(d.db);
const targets: PathTarget[] = [
{ scope: "data_dir", id: null, name: "DATA_DIR", path: d.dataDir },
...roots.map((r) => ({ scope: "library_root" as const, id: r.id, name: r.name, path: r.local_path })),
...maps.map((m) => ({
scope: "download_dir" as const,
id: m.id,
name: m.downloader ? `${m.downloader} ${m.remote}` : m.remote,
path: m.local,
})),
];
const disks = await Promise.all(
targets.map(async (t): Promise<SystemDisk> => {
const base = { scope: t.scope, id: t.id, name: t.name, path: t.path };
try {
const u = await withTimeout(usage(t.path), ms);
if (u.status !== "ok")
return {
...base,
level: "unknown",
totalBytes: null,
usedBytes: null,
availableBytes: null,
usedRatio: null,
error: u.code,
};
return {
...base,
level: diskLevel(u.usedRatio, d.thresholds),
totalBytes: u.totalBytes,
usedBytes: u.usedBytes,
availableBytes: u.availableBytes,
usedRatio: Math.min(1, Math.max(0, u.usedRatio)),
error: null,
};
} catch (err) {
return {
...base,
level: err instanceof Timeout ? "critical" : "unknown",
totalBytes: null,
usedBytes: null,
availableBytes: null,
usedRatio: null,
error: err instanceof Timeout ? "timeout" : (err as Error).message,
};
}
}),
);
const mounts = await Promise.all([
...roots.map(async (r): Promise<SystemMount> => {
const base = { kind: "library_root" as const, id: r.id, name: r.name, path: r.local_path, sentinelChecked: true };
try {
const h = await withTimeout(check(r.local_path, r.sentinel_file ?? DEFAULT_ROOT_SENTINEL), ms);
return h.kind === "online"
? { ...base, status: "online", reason: null }
: { ...base, status: "offline", reason: h.reason };
} catch (err) {
return err instanceof Timeout
? { ...base, status: "timeout", reason: "timeout" }
: { ...base, status: "offline", reason: "error" };
}
}),
...maps.map(async (m): Promise<SystemMount> => {
const base = {
kind: "path_mapping" as const,
id: m.id,
name: m.downloader ? `${m.downloader} ${m.remote}` : m.remote,
path: m.local,
sentinelChecked: false,
};
try {
await withTimeout(
(async () => {
const st = await stat(m.local);
if (!st.isDirectory()) throw Object.assign(new Error("不是目录"), { code: "ENOTDIR" });
await readdir(m.local);
})(),
ms,
);
return { ...base, status: "online", reason: null };
} catch (err) {
if (err instanceof Timeout) return { ...base, status: "timeout", reason: "timeout" };
const code = (err as { code?: string }).code;
const reason =
code === "ENOENT" ? "root_missing" : code === "EACCES" || code === "EPERM" ? "permission_denied" : "error";
return { ...base, status: "offline", reason };
}
}),
]);
return { disks, mounts };
}
// ── 引擎 ──
const schemaTable = (schema: string, table: string) => {
if (!/^[a-z_][a-z0-9_]*$/.test(schema)) throw new Error(`非法 schema 名 ${schema}`);
return sql.raw(`"${schema}".${table}`);
};
export async function loadEngine(db: Kysely<DB>, schema: string, now: Date): Promise<SystemHealth["engine"]> {
const t = schemaTable(schema, "workflow_runs");
const since = new Date(now.getTime() - 24 * 3600_000);
const r = await sql<{
pending: number;
running: number;
oldest: Date | null;
finished: number;
failed: number;
}>`select
count(*) filter (where status = 'pending')::int as pending,
count(*) filter (where status = 'running' and worker_id is not null)::int as running,
min(coalesce(available_at, created_at)) filter (where status = 'pending' and coalesce(available_at, created_at) <= ${now}) as oldest,
count(*) filter (where status in ('completed', 'succeeded', 'failed') and finished_at >= ${since})::int as finished,
count(*) filter (where status = 'failed' and finished_at >= ${since})::int as failed
from ${t} where namespace_id = 'default'`.execute(db);
const row = r.rows[0]!;
const oldestAge = row.oldest ? Math.max(0, (now.getTime() - toDate(row.oldest).getTime()) / 1000) : null;
const rate = row.finished > 0 ? row.failed / row.finished : null;
const level: HealthLevel = worst([
oldestAge != null && oldestAge >= 1800 ? "critical" : oldestAge != null && oldestAge >= 300 ? "warn" : "ok",
rate != null && row.finished >= 10 && rate >= 0.3 ? "critical" : rate != null && rate >= 0.1 ? "warn" : "ok",
]);
return {
level,
pending: row.pending,
running: row.running,
oldestPendingAgeSec: oldestAge == null ? null : Math.round(oldestAge),
finished24h: row.finished,
failed24h: row.failed,
failureRate24h: rate,
};
}
// ── 定时任务 ──
export async function loadSchedules(db: Kysely<DB>, now: Date): Promise<SystemHealth["schedules"]> {
const jobs = await db
.selectFrom("scheduled_job")
.select(["id", "name", "enabled", "available", "last_status", "last_run_at", "last_error", "running_since"])
.orderBy("id")
.execute();
const failedRuns = await sql<{ n: number }>`
select count(*)::int as n from scheduled_job_run
where status = 'failed' and started_at >= ${new Date(now.getTime() - 24 * 3600_000)}`.execute(db);
const enabled = jobs.filter((j) => j.enabled && j.available);
const failing = enabled
.filter((j) => j.last_status === "failed")
.map((j) => ({
id: j.id,
name: j.name,
lastRunAt: j.last_run_at ? toDate(j.last_run_at).toISOString() : null,
lastError: j.last_error,
}));
return {
level: failing.length ? "warn" : "ok",
total: jobs.length,
enabled: enabled.length,
running: jobs.filter((j) => j.running_since).length,
failing,
failedRuns24h: failedRuns.rows[0]?.n ?? 0,
};
}
// ── 汇总 ──
export async function buildHealth(d: HealthDeps): Promise<SystemHealth> {
const now = d.now?.() ?? new Date();
const [{ processes, retiredProcesses }, db, paths, engine, schedules, storage] = await Promise.all([
loadProcesses(d.db, now).catch(() => ({
processes: [] as SystemProcess[],
retiredProcesses: [] as SystemProcess[],
})),
loadDb(d.db),
loadDisksAndMounts(d).catch(() => ({ disks: [] as SystemDisk[], mounts: [] as SystemMount[] })),
loadEngine(d.db, d.engineSchema, now).catch((): SystemHealth["engine"] => ({
level: "unknown",
pending: 0,
running: 0,
oldestPendingAgeSec: null,
finished24h: 0,
failed24h: 0,
failureRate24h: null,
})),
loadSchedules(d.db, now).catch((): SystemHealth["schedules"] => ({
level: "unknown",
total: 0,
enabled: 0,
running: 0,
failing: [],
failedRuns24h: 0,
})),
(d.storage?.() ?? Promise.resolve({ level: "unknown" as HealthLevel, alerts: [] })).catch(() => ({
level: "unknown" as HealthLevel,
alerts: [] as string[],
})),
]);
// SSE:存活的 api/all 进程上报的连接数合计;本进程若还没写过心跳,用实时值
const selfCounted = processes.some((p) => !p.stale && p.instanceId === d.self.instanceId && p.sseConnections != null);
const sse =
processes.filter((p) => !p.stale).reduce((s, p) => s + (p.sseConnections ?? 0), 0) +
(selfCounted ? 0 : d.self.sseConnections);
const mountLevel: HealthLevel = paths.mounts.some((m) => m.status !== "online") ? "critical" : "ok";
return {
level: worst([
processLevel(processes),
db.level,
...paths.disks.map((x) => x.level),
mountLevel,
engine.level,
schedules.level,
storage.level,
]),
checkedAt: now.toISOString(),
api: {
version: d.self.version,
startedAt: d.self.startedAt.toISOString(),
uptimeSec: Math.max(0, Math.round((now.getTime() - d.self.startedAt.getTime()) / 1000)),
},
processes,
retiredProcesses,
sse: { connections: sse },
db,
disks: paths.disks,
diskThresholds: d.thresholds,
mounts: paths.mounts,
engine,
schedules,
storage,
};
}
// ── 历史 ──
export async function loadHistory(db: Kysely<DB>, hours: number, now = new Date()): Promise<SystemHealthHistory> {
const from = new Date(now.getTime() - hours * 3600_000);
// 约 360 个点;最细 15s(一个心跳周期)
const bucketSec = Math.max(15, Math.ceil((hours * 3600) / 360 / 15) * 15);
const r = await sql<{
instance_id: string;
process_kind: string;
bucket: Date;
lag: number;
lag_max: number;
running: number | null;
sse: number | null;
}>`select instance_id, max(process_kind) as process_kind,
date_bin(make_interval(secs => ${bucketSec}), at, timestamptz 'epoch') as bucket,
avg(event_loop_lag_ms)::float8 as lag, max(event_loop_lag_max_ms)::float8 as lag_max,
max(running_runs)::float8 as running, max(sse_connections)::float8 as sse
from process_heartbeat_sample where at >= ${from} and at <= ${now}
group by instance_id, bucket order by instance_id, bucket`.execute(db);
const series = new Map<string, SystemHealthHistory["series"][number]>();
for (const row of r.rows) {
let s = series.get(row.instance_id);
if (!s) {
s = { instanceId: row.instance_id, processKind: row.process_kind, points: [] };
series.set(row.instance_id, s);
}
s.points.push({
at: toDate(row.bucket).toISOString(),
lagMs: Math.round(Number(row.lag) * 10) / 10,
lagMaxMs: Number(row.lag_max),
runningRuns: num(row.running),
sseConnections: num(row.sse),
});
}
return { from: from.toISOString(), to: now.toISOString(), bucketSec, series: [...series.values()] };
}