feat(system): retention cleanup jobs, storage panel API and health storage level (CACHE-2)
Co-Authored-By: Claude Opus 5.5 <[email protected]>
This commit is contained in:
rootandClaude Opus 5.5 committed
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@@ -28,6 +28,8 @@ export interface HealthDeps {
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checkRoot?: typeof checkRoot;
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/** 单个路径 IO 检查超时(ms),缺省 3000 */
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ioTimeoutMs?: number;
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/** 存储段(CACHE-2);不给时该段为 unknown */
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storage?: () => Promise<{ level: HealthLevel; alerts: string[] }>;
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}
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const LEVEL_ORDER: HealthLevel[] = ["ok", "warn", "critical"];
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@@ -384,7 +386,7 @@ export async function loadSchedules(db: Kysely<DB>, now: Date): Promise<SystemHe
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export async function buildHealth(d: HealthDeps): Promise<SystemHealth> {
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const now = d.now?.() ?? new Date();
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const [{ processes, retiredProcesses }, db, paths, engine, schedules] = await Promise.all([
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const [{ processes, retiredProcesses }, db, paths, engine, schedules, storage] = await Promise.all([
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loadProcesses(d.db, now).catch(() => ({
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processes: [] as SystemProcess[],
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retiredProcesses: [] as SystemProcess[],
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@@ -408,6 +410,10 @@ export async function buildHealth(d: HealthDeps): Promise<SystemHealth> {
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failing: [],
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failedRuns24h: 0,
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})),
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(d.storage?.() ?? Promise.resolve({ level: "unknown" as HealthLevel, alerts: [] })).catch(() => ({
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level: "unknown" as HealthLevel,
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alerts: [] as string[],
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})),
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]);
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// 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
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const selfCounted = processes.some((p) => !p.stale && p.instanceId === d.self.instanceId && p.sseConnections != null);
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@@ -423,6 +429,7 @@ export async function buildHealth(d: HealthDeps): Promise<SystemHealth> {
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mountLevel,
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engine.level,
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schedules.level,
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storage.level,
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]),
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checkedAt: now.toISOString(),
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api: {
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@@ -439,6 +446,7 @@ export async function buildHealth(d: HealthDeps): Promise<SystemHealth> {
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mounts: paths.mounts,
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engine,
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schedules,
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storage,
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};
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}
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@@ -130,11 +130,13 @@ export async function markHeartbeatStopped(db: Kysely<DB>, instanceId: string, a
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/** 裁剪:超过 24 小时没心跳的进程行、超过 7 天的采样;返回删除行数 */
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export async function pruneHeartbeats(
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db: Kysely<DB>,
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o: { now?: Date; rowRetentionMs?: number; sampleDays?: number } = {},
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o: { now?: Date; rowRetentionMs?: number; sampleDays?: number; sampleHours?: number } = {},
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): Promise<{ rows: number; samples: number }> {
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const now = o.now ?? new Date();
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const rowCutoff = new Date(now.getTime() - (o.rowRetentionMs ?? HEARTBEAT_ROW_RETENTION_MS));
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const sampleCutoff = new Date(now.getTime() - (o.sampleDays ?? SAMPLE_RETENTION_DAYS) * 24 * 3600_000);
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// CACHE-2:采样保留取 storage.retentionDays.heartbeatHours(调用方传 sampleHours);sampleDays 为旧参数
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const sampleHours = o.sampleHours ?? (o.sampleDays ?? SAMPLE_RETENTION_DAYS) * 24;
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const sampleCutoff = new Date(now.getTime() - sampleHours * 3600_000);
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const rows = await db.deleteFrom("process_heartbeat").where("last_beat_at", "<", rowCutoff).executeTakeFirst();
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const samples = await db.deleteFrom("process_heartbeat_sample").where("at", "<", sampleCutoff).executeTakeFirst();
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return { rows: Number(rows.numDeletedRows), samples: Number(samples.numDeletedRows) };
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@@ -1,9 +1,19 @@
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import { createRoute, type RouteConfig } from "@hono/zod-openapi";
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import { Api, apiResponse, DEFAULT_SETTINGS, type EndpointDef } from "@umt/contracts";
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import {
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type Actor,
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Api,
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apiResponse,
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DEFAULT_SETTINGS,
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type EndpointDef,
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type StorageCleanupTarget,
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} from "@umt/contracts";
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import { sql } from "@umt/db";
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import type { z } from "zod";
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import { dataPaths } from "../../config.ts";
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import { requireScope } from "../../http/auth.ts";
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import { ApiException } from "../../http/errors.ts";
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import { sseConnectionCount } from "../../http/sse.ts";
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import { storageSettings } from "../../shared-cache.ts";
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import { registerScheduledJob } from "../schedules/registry.ts";
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import type { ModuleApp, ServerContext, ServerModule } from "../types.ts";
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import { buildHealth, type HealthDeps, loadHistory } from "./health.ts";
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@@ -15,6 +25,8 @@ import {
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safeHostname,
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startHeartbeatWriter,
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} from "./heartbeat.ts";
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import { type BatchOptions, CLEANUP_JOB_IDS, RETENTION_JOBS } from "./retention.ts";
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import { buildStorage, type StoragePaths, storageHealth } from "./storage.ts";
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export { HEARTBEAT_STALE_MS, HEARTBEAT_WRITE_MS, startHeartbeatWriter } from "./heartbeat.ts";
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@@ -23,7 +35,13 @@ export { HEARTBEAT_STALE_MS, HEARTBEAT_WRITE_MS, startHeartbeatWriter } from "./
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* - GET /system/health:进程心跳 / 事件循环延迟 / SSE 连接 / DB / 磁盘 / 挂载根 / 引擎 / 定时任务,仅 admin;
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* - GET /system/health/history?hours=:心跳采样时间序列。
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* 心跳写入:worker 进程在 worker/index.ts 里起写入器;纯 api 进程(role=api)在注册路由时起(role=all 由 worker 写 kind=all)。
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* 清理:定时任务 system.heartbeat_cleanup(维护组,1 小时)删 24 小时没心跳的进程行与 7 天前的采样。
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* 清理:定时任务 system.heartbeat_cleanup(维护组,1 小时)删 24 小时没心跳的进程行与超过
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* storage.retentionDays.heartbeatHours 的采样。
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*
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* CACHE-2 存储(docs/runbook/storage.md):
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* - GET /system/storage:表体积 top 15、库体积、kv_cache 各 region、图片 / 备份 / 会话与证据对照预算、DATA_DIR 分目录、清理任务;
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* - POST /system/storage/cleanup/{target}:把对应的维护任务排入立即执行(同 schedules run_now 语义);
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* - 保留清理任务 storage.retention.* 与每周 storage.analyze(维护组,各自开关与周期在定时任务看板改)。
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*/
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export interface SystemModuleOptions {
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/** 引擎 schema(测试覆盖);缺省 openworkflow */
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@@ -34,6 +52,12 @@ export interface SystemModuleOptions {
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apiHeartbeat?: boolean;
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/** 定时任务 system.heartbeat_cleanup 的默认周期,默认 1 小时;<=0 不登记 */
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cleanupIntervalMs?: number;
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/** 存储面板路径(测试覆盖);缺省按 DATA_DIR / AGENT_SESSION_DIR */
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storagePaths?: StoragePaths;
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/** false 时不登记保留清理任务(测试);缺省 true */
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retentionJobs?: boolean;
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/** 保留清理的分批参数(测试) */
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retentionBatch?: BatchOptions;
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}
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type Infer<T> = T extends z.ZodType ? z.infer<T> : Record<string, never>;
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@@ -41,10 +65,11 @@ type Infer<T> = T extends z.ZodType ? z.infer<T> : Record<string, never>;
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function route<D extends EndpointDef>(
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app: ModuleApp,
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def: D,
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handler: (i: { query: Infer<D["query"]> }) => Promise<unknown>,
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handler: (i: { query: Infer<D["query"]>; params: Infer<D["params"]>; actor: Actor | undefined }) => Promise<unknown>,
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) {
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const request: RouteConfig["request"] = {};
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if (def.query) request.query = def.query as never;
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if (def.params) request.params = def.params as never;
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const r = createRoute({
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method: def.method,
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path: def.path,
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@@ -58,7 +83,13 @@ function route<D extends EndpointDef>(
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});
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// biome-ignore lint/suspicious/noExplicitAny: 路由泛型在封装里擦除,入参已由 zod-openapi 校验
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app.openapi(r, (async (c: any) => {
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const data = def.response.parse(await handler({ query: def.query ? c.req.valid("query") : {} } as never));
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const data = def.response.parse(
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await handler({
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query: def.query ? c.req.valid("query") : {},
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params: def.params ? c.req.valid("param") : {},
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actor: c.get("actor"),
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} as never),
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);
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return c.json({ ok: true, data }, 200);
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// biome-ignore lint/suspicious/noExplicitAny: 同上
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}) as any);
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@@ -84,6 +115,11 @@ export function createSystemModule(opts: SystemModuleOptions = {}): ServerModule
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}
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const selfKind = ctx.role === "all" ? "all" : ctx.role === "api" ? "api" : null;
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const selfId = selfKind ? instanceIdOf(selfKind, safeHostname(), Deno.pid) : undefined;
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const paths = (): StoragePaths => {
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if (opts.storagePaths) return opts.storagePaths;
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const p = dataPaths(ctx.config);
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return { dataDir: opts.healthDeps?.dataDir ?? p.dataDir, sessionDir: p.sessionDir };
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};
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route(app, Api.system.healthDetail, async () => {
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const cache = await ctx.settings.get("cache").catch(() => DEFAULT_SETTINGS.cache);
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@@ -98,25 +134,89 @@ export function createSystemModule(opts: SystemModuleOptions = {}): ServerModule
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...(selfId ? { instanceId: selfId } : {}),
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},
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thresholds: { warnPercent: cache.resumePercent, criticalPercent: cache.hardThresholdPercent },
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storage: async () =>
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await storageHealth({ db: ctx.db, paths: paths(), settings: await storageSettings(ctx) }),
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...(opts.healthDeps ?? {}),
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});
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});
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route(app, Api.system.healthHistory, async ({ query }) => await loadHistory(ctx.db, query.hours));
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route(app, Api.system.storage, async () =>
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buildStorage({
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db: ctx.db,
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paths: paths(),
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settings: await storageSettings(ctx),
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engineSchema: opts.engineSchema ?? "openworkflow",
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}),
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);
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route(app, Api.system.storageCleanup, async ({ params, actor }) => {
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const target = params.target as StorageCleanupTarget;
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const jobId = CLEANUP_JOB_IDS[target];
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const job = await ctx.db
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.selectFrom("scheduled_job")
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.select(["id", "available"])
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.where("id", "=", jobId)
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.executeTakeFirst();
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if (!job) throw new ApiException("not_found", `清理任务 ${jobId} 还没登记（调度器未同步）`);
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if (!job.available) throw new ApiException("conflict", "任务未配置，不能执行");
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// 同 schedules 的立即执行:只置 run_requested_at,已在排队或运行中则合并
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const r = await sql`update scheduled_job set run_requested_at = now()
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where id = ${jobId} and run_requested_at is null and running_since is null`.execute(ctx.db);
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const queued = Number(r.numAffectedRows ?? 0) > 0;
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if (queued) {
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await ctx.db
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.insertInto("audit_event")
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.values({
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actor_type: actor?.type === "api_key" ? "api_key" : actor ? "user" : "system",
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actor_id: actor?.id ?? null,
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action: "storage.cleanup",
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target_type: "scheduled_job",
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target_id: jobId,
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payload: JSON.stringify({ target }),
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})
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.execute()
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.catch((err) => ctx.logger.warn({ err }, "审计写入失败"));
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}
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return { target, jobId, queued };
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});
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},
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registerTasks() {},
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start(ctx) {
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if (opts.retentionJobs !== false) {
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for (const j of RETENTION_JOBS) {
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registerScheduledJob(ctx, {
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key: j.jobId,
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defaults: {
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name: j.name,
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description: j.description,
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group: "maintain",
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schedule: { type: "interval", everyMs: j.everyMs },
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firstRun: "after_interval",
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},
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run: async ({ now }) => ({
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summary: await j.run({
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db: ctx.db,
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engineSchema: opts.engineSchema ?? "openworkflow",
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settings: await storageSettings(ctx),
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now,
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...(opts.retentionBatch ? { batch: opts.retentionBatch } : {}),
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}),
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}),
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});
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}
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}
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const everyMs = opts.cleanupIntervalMs ?? 3600_000;
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if (everyMs <= 0) return;
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registerScheduledJob(ctx, {
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key: "system.heartbeat_cleanup",
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defaults: {
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name: "进程心跳清理",
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description: "删除 24 小时没有心跳的进程行和 7 天前的心跳采样",
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description: "删除 24 小时没有心跳的进程行和超过保留期（存储设置，缺省 24 小时）的心跳采样",
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group: "maintain",
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schedule: { type: "interval", everyMs },
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},
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run: async ({ now }) => {
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const r = await pruneHeartbeats(ctx.db, { now });
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const sampleHours = (await storageSettings(ctx)).retentionDays.heartbeatHours;
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const r = await pruneHeartbeats(ctx.db, { now, sampleHours });
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return { summary: `删除 ${r.rows} 个进程行、${r.samples} 条采样` };
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},
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});
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@@ -0,0 +1,273 @@
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import type { StorageCleanupTarget, StorageSettings } from "@umt/contracts";
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import { type DB, type Kysely, type RawBuilder, sql } from "@umt/db";
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// CACHE-2 保留策略清理(docs/runbook/storage.md):按表按时间列分批删除流水数据。
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// - 每批:单独事务,`set local statement_timeout / lock_timeout` 限时,按 ctid 取一批再删,不做整表长事务;
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// - 每次运行有总时限,到点就停,剩下的留给下次;批与批之间让出一小段时间给业务写入;
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// - 只删已结束的数据(任务 / Agent 会话 / 能力调用看状态),进行中的不动。
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// 待识别池不删:unmatched 条目到期归档(与 sources-identity archiveStalePool 同一条件)。
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export interface BatchOptions {
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/** 每批行数,缺省 5000 */
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batchSize?: number;
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/** 每批语句超时(ms),缺省 15000 */
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statementTimeoutMs?: number;
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/** 等锁超时(ms),缺省 3000 */
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lockTimeoutMs?: number;
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/** 本次运行总时限(ms),缺省 5 分钟 */
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budgetMs?: number;
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/** 批间停顿(ms),缺省 50 */
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pauseMs?: number;
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/** 测试注入 */
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now?: () => number;
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}
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export interface BatchResult {
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deleted: number;
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batches: number;
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/** 到总时限还没删完 */
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truncated: boolean;
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}
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const sleep = (ms: number) => new Promise((r) => setTimeout(r, ms));
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/**
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* 分批删除 `table` 中满足 `where` 的行:每批 `delete … where ctid = any(array(select ctid … limit n))`,
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* 单独事务 + 语句 / 锁超时。某批超时(57014)或等锁超时(55P03)时停止本次运行,不抛错。
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*/
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export async function deleteInBatches(
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db: Kysely<DB>,
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table: RawBuilder<unknown>,
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where: RawBuilder<unknown>,
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o: BatchOptions = {},
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): Promise<BatchResult> {
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const size = o.batchSize ?? 5000;
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const now = o.now ?? Date.now;
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const deadline = now() + (o.budgetMs ?? 5 * 60_000);
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let deleted = 0;
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let batches = 0;
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for (;;) {
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let n: number;
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try {
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n = await db.transaction().execute(async (trx) => {
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await sql`select set_config('statement_timeout', ${String(o.statementTimeoutMs ?? 15_000)}, true),
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set_config('lock_timeout', ${String(o.lockTimeoutMs ?? 3000)}, true)`.execute(trx);
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const r = await sql`delete from ${table} where ctid = any(array(
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select ctid from ${table} where ${where} limit ${size}))`.execute(trx);
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return Number(r.numAffectedRows ?? 0);
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});
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} catch (e) {
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const code = (e as { code?: string }).code;
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if (code === "57014" || code === "55P03") return { deleted, batches, truncated: true };
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throw e;
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}
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batches++;
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deleted += n;
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if (n < size) return { deleted, batches, truncated: false };
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if (now() >= deadline) return { deleted, batches, truncated: true };
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if ((o.pauseMs ?? 50) > 0) await sleep(o.pauseMs ?? 50);
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}
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}
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export interface RetentionJob {
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target: StorageCleanupTarget;
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/** scheduled_job key */
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jobId: string;
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name: string;
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description: string;
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everyMs: number;
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/** 保留期说明(存储面板) */
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retention(s: StorageSettings): string | null;
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run(c: RetentionRunContext): Promise<string>;
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}
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export interface RetentionRunContext {
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db: Kysely<DB>;
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engineSchema: string;
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settings: StorageSettings;
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now: Date;
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batch?: BatchOptions;
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}
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const DAY_MS = 86_400_000;
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const cutoffOf = (now: Date, days: number) => new Date(now.getTime() - days * DAY_MS);
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const t = (name: string) => sql.raw(`"${name}"`);
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const summaryOf = (label: string, r: BatchResult) =>
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`${label}删除 ${r.deleted} 行（${r.batches} 批）${r.truncated ? "，未删完，下次继续" : ""}`;
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const HOUR = 3600_000;
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/**
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* 保留清理任务(维护组;heartbeat 目标由 system.heartbeat_cleanup 承担,images / kv_cache 由 cache 模块承担)。
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* 顺序即存储面板的展示顺序。
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*/
|
||||
export const RETENTION_JOBS: RetentionJob[] = [
|
||||
{
|
||||
target: "observation",
|
||||
jobId: "storage.retention.observation",
|
||||
name: "观察记录清理",
|
||||
description: "删除超过保留期的 Feed 观察记录（observation，按 created_at）",
|
||||
everyMs: 6 * HOUR,
|
||||
retention: (s) => `${s.retentionDays.observation} 天`,
|
||||
async run(c) {
|
||||
const cutoff = cutoffOf(c.now, c.settings.retentionDays.observation);
|
||||
const r = await deleteInBatches(c.db, t("observation"), sql`created_at < ${cutoff}`, c.batch);
|
||||
return summaryOf("观察记录", r);
|
||||
},
|
||||
},
|
||||
{
|
||||
target: "sse_event",
|
||||
jobId: "storage.retention.sse_event",
|
||||
name: "SSE 事件清理",
|
||||
description: "删除超过保留期的 SSE 补读事件（sse_event，按 at；发布方另按条数裁剪）",
|
||||
everyMs: HOUR,
|
||||
retention: (s) => `${s.retentionDays.sseEvent} 天`,
|
||||
async run(c) {
|
||||
const cutoff = cutoffOf(c.now, c.settings.retentionDays.sseEvent);
|
||||
const r = await deleteInBatches(c.db, t("sse_event"), sql`at < ${cutoff}`, c.batch);
|
||||
return summaryOf("SSE 事件", r);
|
||||
},
|
||||
},
|
||||
{
|
||||
target: "task_run",
|
||||
jobId: "storage.retention.task_run",
|
||||
name: "任务运行清理",
|
||||
description: "删除超过保留期、已结束的业务任务（task）与引擎 run（含步骤、运行元数据）",
|
||||
everyMs: 6 * HOUR,
|
||||
retention: (s) => `${s.retentionDays.taskRun} 天`,
|
||||
async run(c) {
|
||||
const cutoff = cutoffOf(c.now, c.settings.retentionDays.taskRun);
|
||||
const e = (n: string) => sql.raw(`"${c.engineSchema}"."${n}"`);
|
||||
const task = await deleteInBatches(
|
||||
c.db,
|
||||
t("task"),
|
||||
sql`created_at < ${cutoff} and status in ('succeeded', 'failed', 'cancelled', 'dead')`,
|
||||
c.batch,
|
||||
);
|
||||
// 引擎 run:step_attempts 随 run 级联删除
|
||||
const runs = await deleteInBatches(
|
||||
c.db,
|
||||
e("workflow_runs"),
|
||||
sql`created_at < ${cutoff} and status in ('completed', 'succeeded', 'failed', 'canceled')`,
|
||||
c.batch,
|
||||
);
|
||||
// 运行元数据与 run 同时写入:早于保留期的 run 已结束(上一步删掉了),元数据按时间直接删
|
||||
const meta = await deleteInBatches(c.db, t("tasks_run_meta"), sql`created_at < ${cutoff}`, c.batch);
|
||||
const facts = await deleteInBatches(c.db, t("tasks_fact"), sql`created_at < ${cutoff}`, c.batch);
|
||||
const ledger = await deleteInBatches(
|
||||
c.db,
|
||||
t("tasks_op_ledger"),
|
||||
sql`status = 'succeeded' and started_at < ${cutoff}`,
|
||||
c.batch,
|
||||
);
|
||||
const truncated = [task, runs, meta, facts, ledger].some((x) => x.truncated);
|
||||
return `业务任务 ${task.deleted}、引擎 run ${runs.deleted}、运行元数据 ${meta.deleted + facts.deleted + ledger.deleted} 行已删除${truncated ? "，未删完，下次继续" : ""}`;
|
||||
},
|
||||
},
|
||||
{
|
||||
target: "agent_event",
|
||||
jobId: "storage.retention.agent_event",
|
||||
name: "Agent 事件清理",
|
||||
description: "删除超过保留期、会话已结束的 Agent 事件流与消息（agent_run_event / agent_run_message；会话本身保留）",
|
||||
everyMs: 6 * HOUR,
|
||||
retention: (s) => `${s.retentionDays.agentEvent} 天`,
|
||||
async run(c) {
|
||||
const cutoff = cutoffOf(c.now, c.settings.retentionDays.agentEvent);
|
||||
const ended = sql`exists (select 1 from agent_run r where r.id = run_id
|
||||
and r.status in ('succeeded', 'failed', 'cancelled', 'budget_exceeded'))`;
|
||||
const ev = await deleteInBatches(c.db, t("agent_run_event"), sql`at < ${cutoff} and ${ended}`, c.batch);
|
||||
const msg = await deleteInBatches(
|
||||
c.db,
|
||||
t("agent_run_message"),
|
||||
sql`created_at < ${cutoff} and status = 'consumed' and ${ended}`,
|
||||
c.batch,
|
||||
);
|
||||
return `Agent 事件 ${ev.deleted}、消息 ${msg.deleted} 行已删除${ev.truncated || msg.truncated ? "，未删完，下次继续" : ""}`;
|
||||
},
|
||||
},
|
||||
{
|
||||
target: "audit",
|
||||
jobId: "storage.retention.audit",
|
||||
name: "审计清理",
|
||||
description: "删除超过保留期的审计事件（audit_event，能力调用审计按能力统计的保留期另算）",
|
||||
everyMs: 24 * HOUR,
|
||||
retention: (s) => `${s.retentionDays.audit} 天`,
|
||||
async run(c) {
|
||||
const cutoff = cutoffOf(c.now, c.settings.retentionDays.audit);
|
||||
const r = await deleteInBatches(
|
||||
c.db,
|
||||
t("audit_event"),
|
||||
sql`at < ${cutoff} and target_type is distinct from 'capability'`,
|
||||
c.batch,
|
||||
);
|
||||
return summaryOf("审计事件", r);
|
||||
},
|
||||
},
|
||||
{
|
||||
target: "capability_stats",
|
||||
jobId: "storage.retention.capability_stats",
|
||||
name: "能力统计清理",
|
||||
description: "删除超过保留期的能力调用审计（audit_event target_type=capability）与已结束的能力调用记录",
|
||||
everyMs: 24 * HOUR,
|
||||
retention: (s) => `${s.retentionDays.capabilityStats} 天`,
|
||||
async run(c) {
|
||||
const cutoff = cutoffOf(c.now, c.settings.retentionDays.capabilityStats);
|
||||
const a = await deleteInBatches(
|
||||
c.db,
|
||||
t("audit_event"),
|
||||
sql`at < ${cutoff} and target_type = 'capability'`,
|
||||
c.batch,
|
||||
);
|
||||
const inv = await deleteInBatches(
|
||||
c.db,
|
||||
t("capability_invocation"),
|
||||
sql`created_at < ${cutoff} and status <> 'running'`,
|
||||
c.batch,
|
||||
);
|
||||
return `能力审计 ${a.deleted}、调用记录 ${inv.deleted} 行已删除${a.truncated || inv.truncated ? "，未删完，下次继续" : ""}`;
|
||||
},
|
||||
},
|
||||
{
|
||||
target: "identity_pool",
|
||||
jobId: "storage.retention.identity_pool",
|
||||
name: "待识别池归档",
|
||||
description: "待识别池里 unmatched 条目超过保留期没有新证据就归档（不删除，仍可按状态筛出）",
|
||||
everyMs: 6 * HOUR,
|
||||
retention: (s) => `${s.retentionDays.identityPoolArchive} 天`,
|
||||
async run(c) {
|
||||
const cutoff = cutoffOf(c.now, c.settings.retentionDays.identityPoolArchive);
|
||||
let archived = 0;
|
||||
const size = c.batch?.batchSize ?? 5000;
|
||||
for (;;) {
|
||||
const r = await sql`update identity_candidate set status = 'archived', next_review_at = null
|
||||
where id in (select id from identity_candidate where status = 'pending' and reason = 'unmatched'
|
||||
and coalesce(last_attempt_at, created_at) < ${cutoff} limit ${size})`.execute(c.db);
|
||||
const n = Number(r.numAffectedRows ?? 0);
|
||||
archived += n;
|
||||
if (n < size) break;
|
||||
}
|
||||
return `归档 ${archived} 条待识别条目`;
|
||||
},
|
||||
},
|
||||
{
|
||||
target: "analyze",
|
||||
jobId: "storage.analyze",
|
||||
name: "统计信息更新",
|
||||
description: "对全库执行 ANALYZE，刷新查询规划用的统计信息（每周）",
|
||||
everyMs: 7 * 24 * HOUR,
|
||||
retention: () => null,
|
||||
async run(c) {
|
||||
const started = Date.now();
|
||||
await sql`analyze`.execute(c.db);
|
||||
return `ANALYZE 完成，用时 ${Math.round((Date.now() - started) / 100) / 10} 秒`;
|
||||
},
|
||||
},
|
||||
];
|
||||
|
||||
/** 清理目标 → 定时任务 key(heartbeat / images / kv_cache 由其它任务承担) */
|
||||
export const CLEANUP_JOB_IDS: Record<StorageCleanupTarget, string> = {
|
||||
...(Object.fromEntries(RETENTION_JOBS.map((j) => [j.target, j.jobId])) as Record<string, string>),
|
||||
heartbeat: "system.heartbeat_cleanup",
|
||||
images: "cache.images_lru",
|
||||
kv_cache: "cache.sweep",
|
||||
} as Record<StorageCleanupTarget, string>;
|
||||
@@ -0,0 +1,347 @@
|
||||
import { promises as fs } from "node:fs";
|
||||
import { join, relative } from "node:path";
|
||||
import type { HealthLevel, StorageBudgetUsage, StorageSettings, SystemStorage } from "@umt/contracts";
|
||||
import { type DB, type Kysely, sql } from "@umt/db";
|
||||
import { worst } from "./health.ts";
|
||||
import { CLEANUP_JOB_IDS, RETENTION_JOBS } from "./retention.ts";
|
||||
|
||||
// CACHE-2 存储面板(GET /system/storage)与 health 的存储档位。
|
||||
// 目录遍历可能很慢(图片缓存几十万个文件),结果按目录集合缓存 5 分钟;health 只用缓存值,过期时后台刷新,不等。
|
||||
|
||||
const GB = 1024 ** 3;
|
||||
const DIR_TTL_MS = 5 * 60_000;
|
||||
|
||||
export interface StoragePaths {
|
||||
dataDir: string;
|
||||
/** Agent 会话目录(可能在 DATA_DIR 之外) */
|
||||
sessionDir: string;
|
||||
/** 图片缓存目录;缺省 DATA_DIR/cache/images */
|
||||
imagesDir?: string;
|
||||
}
|
||||
|
||||
export interface DirUsage {
|
||||
name: string;
|
||||
path: string;
|
||||
usedBytes: number;
|
||||
files: number;
|
||||
error: string | null;
|
||||
}
|
||||
|
||||
interface DirScan {
|
||||
at: Date;
|
||||
dirs: DirUsage[];
|
||||
images: DirUsage;
|
||||
sessions: DirUsage;
|
||||
evidence: DirUsage;
|
||||
backups: DirUsage & { count: number };
|
||||
}
|
||||
|
||||
async function walk(path: string): Promise<{ bytes: number; files: number; error: string | null }> {
|
||||
let bytes = 0;
|
||||
let files = 0;
|
||||
const go = async (d: string, top: boolean): Promise<string | null> => {
|
||||
let names: string[];
|
||||
try {
|
||||
names = await fs.readdir(d);
|
||||
} catch (e) {
|
||||
const code = (e as { code?: string }).code;
|
||||
// 目录不存在按 0 计
|
||||
return top && code !== "ENOENT" ? (code ?? (e as Error).message) : null;
|
||||
}
|
||||
for (const n of names) {
|
||||
const p = join(d, n);
|
||||
const st = await fs.lstat(p).catch(() => null);
|
||||
if (!st) continue;
|
||||
if (st.isDirectory()) await go(p, false);
|
||||
else {
|
||||
bytes += st.size;
|
||||
files++;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
};
|
||||
const error = await go(path, true);
|
||||
return { bytes, files, error };
|
||||
}
|
||||
|
||||
const usageOf = async (name: string, path: string): Promise<DirUsage> => {
|
||||
const w = await walk(path);
|
||||
return { name, path, usedBytes: w.bytes, files: w.files, error: w.error };
|
||||
};
|
||||
|
||||
/** DATA_DIR 一级目录(cache / tmp 再细分一层)+ 会话目录 + 备份份数 */
|
||||
export async function scanDirs(p: StoragePaths): Promise<DirScan> {
|
||||
const dirs: DirUsage[] = [];
|
||||
const top = await fs.readdir(p.dataDir, { withFileTypes: true }).catch(() => []);
|
||||
for (const e of top.sort((a, b) => a.name.localeCompare(b.name))) {
|
||||
if (!e.isDirectory()) continue;
|
||||
const path = join(p.dataDir, e.name);
|
||||
if (e.name === "cache" || e.name === "tmp") {
|
||||
const sub = await fs.readdir(path, { withFileTypes: true }).catch(() => []);
|
||||
for (const s of sub.sort((a, b) => a.name.localeCompare(b.name))) {
|
||||
if (s.isDirectory()) dirs.push(await usageOf(`${e.name}/${s.name}`, join(path, s.name)));
|
||||
}
|
||||
continue;
|
||||
}
|
||||
dirs.push(await usageOf(e.name, path));
|
||||
}
|
||||
const find = async (path: string, name: string) => dirs.find((d) => d.path === path) ?? (await usageOf(name, path));
|
||||
const imagesDir = p.imagesDir ?? join(p.dataDir, "cache", "images");
|
||||
const backupsDir = join(p.dataDir, "backups");
|
||||
const backupNames = await fs.readdir(backupsDir, { withFileTypes: true }).catch(() => []);
|
||||
const sessionsInData = !relative(p.dataDir, p.sessionDir).startsWith("..");
|
||||
const sessions = await find(p.sessionDir, "agent-sessions");
|
||||
if (!sessionsInData) dirs.push(sessions);
|
||||
return {
|
||||
at: new Date(),
|
||||
dirs,
|
||||
images: await find(imagesDir, "cache/images"),
|
||||
sessions,
|
||||
evidence: await find(join(p.dataDir, "tmp", "evidence"), "tmp/evidence"),
|
||||
backups: {
|
||||
...(await find(backupsDir, "backups")),
|
||||
count: backupNames.filter((b) => b.isDirectory() && !b.name.startsWith(".")).length,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
const scans = new Map<string, { at: number; value: Promise<DirScan>; last: DirScan | null }>();
|
||||
|
||||
/**
|
||||
* 目录用量(缓存 5 分钟)。wait=false 时不等遍历:有旧值返回旧值(过期则后台刷新),没有返回 null。
|
||||
*/
|
||||
export async function dirScan(p: StoragePaths, o: { wait: boolean; force?: boolean }): Promise<DirScan | null> {
|
||||
const key = `${p.dataDir}\u0000${p.sessionDir}\u0000${p.imagesDir ?? ""}`;
|
||||
const cur = scans.get(key);
|
||||
if (!cur || o.force || Date.now() - cur.at > DIR_TTL_MS) {
|
||||
const value = scanDirs(p);
|
||||
const entry = { at: Date.now(), value, last: cur?.last ?? null };
|
||||
scans.set(key, entry);
|
||||
value.then(
|
||||
(v) => {
|
||||
entry.last = v;
|
||||
},
|
||||
() => {
|
||||
if (scans.get(key) === entry) scans.delete(key);
|
||||
},
|
||||
);
|
||||
if (o.wait) return await value;
|
||||
return entry.last;
|
||||
}
|
||||
if (o.wait) return await cur.value;
|
||||
return cur.last;
|
||||
}
|
||||
|
||||
/** 测试用 */
|
||||
export function resetDirScans(): void {
|
||||
scans.clear();
|
||||
}
|
||||
|
||||
/** 用量对照预算:≥ budget critical,≥ warn warn */
|
||||
export function budgetLevel(used: number | null, budget: number | null, warn: number | null): HealthLevel {
|
||||
if (used === null) return "unknown";
|
||||
if (budget !== null && used >= budget) return "critical";
|
||||
if (warn !== null && used >= warn) return "warn";
|
||||
return "ok";
|
||||
}
|
||||
|
||||
const gb = (v: number) => Math.round(v * GB);
|
||||
|
||||
function usage(used: number | null, budgetGb: number, warnGb: number, error: string | null = null): StorageBudgetUsage {
|
||||
const budgetBytes = gb(budgetGb);
|
||||
const warnBytes = gb(warnGb);
|
||||
return {
|
||||
usedBytes: used,
|
||||
budgetBytes,
|
||||
warnBytes,
|
||||
level: error ? "unknown" : budgetLevel(used, budgetBytes, warnBytes),
|
||||
error,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* 图片缓存有容量 LRU(到预算就按最久未访问删),接近预算是常态:超过预算 10% 才告警(说明 LRU 没跟上),不给 critical。
|
||||
*/
|
||||
function imagesUsage(used: number | null, budgetGb: number, error: string | null): StorageBudgetUsage {
|
||||
const budgetBytes = gb(budgetGb);
|
||||
const warnBytes = Math.round(budgetBytes * 1.1);
|
||||
return {
|
||||
usedBytes: used,
|
||||
budgetBytes,
|
||||
warnBytes,
|
||||
level: error ? "unknown" : used === null ? "unknown" : used >= warnBytes ? "warn" : "ok",
|
||||
error,
|
||||
};
|
||||
}
|
||||
|
||||
const fmtGb = (b: number | null) => (b === null ? "?" : `${Math.round((b / GB) * 10) / 10} GB`);
|
||||
|
||||
export interface StorageDeps {
|
||||
db: Kysely<DB>;
|
||||
paths: StoragePaths;
|
||||
settings: StorageSettings;
|
||||
}
|
||||
|
||||
async function dbSize(db: Kysely<DB>): Promise<number> {
|
||||
const r = await sql<{ n: string }>`select pg_database_size(current_database())::text as n`.execute(db);
|
||||
return Number(r.rows[0]?.n ?? 0);
|
||||
}
|
||||
|
||||
/** 汇总档位 + 告警文案(health 与存储面板共用) */
|
||||
function levelsOf(
|
||||
s: StorageSettings,
|
||||
dbBytes: number | null,
|
||||
scan: DirScan | null,
|
||||
): {
|
||||
db: StorageBudgetUsage;
|
||||
images: StorageBudgetUsage;
|
||||
backups: StorageBudgetUsage;
|
||||
sessionsEvidence: StorageBudgetUsage;
|
||||
level: HealthLevel;
|
||||
alerts: string[];
|
||||
} {
|
||||
const b = s.budgets;
|
||||
const db = usage(dbBytes, b.pgDataGb, b.pgDataWarnGb, dbBytes === null ? "db_unavailable" : null);
|
||||
const images = imagesUsage(scan ? scan.images.usedBytes : null, b.imagesGb, scan?.images.error ?? null);
|
||||
const backups = usage(
|
||||
scan ? scan.backups.usedBytes : null,
|
||||
b.backupsGb,
|
||||
b.backupsGb * 0.8,
|
||||
scan?.backups.error ?? null,
|
||||
);
|
||||
const se = scan ? scan.sessions.usedBytes + scan.evidence.usedBytes : null;
|
||||
const sessionsEvidence = usage(
|
||||
se,
|
||||
b.sessionsEvidenceGb,
|
||||
b.sessionsEvidenceGb * 0.8,
|
||||
scan?.sessions.error ?? scan?.evidence.error ?? null,
|
||||
);
|
||||
const alerts: string[] = [];
|
||||
const say = (label: string, u: StorageBudgetUsage) => {
|
||||
if (u.level === "warn" || u.level === "critical") {
|
||||
alerts.push(
|
||||
`${label} ${fmtGb(u.usedBytes)}，${u.level === "critical" ? "已超过预算" : "超过告警线"} ${fmtGb(u.level === "critical" ? u.budgetBytes : u.warnBytes)}`,
|
||||
);
|
||||
}
|
||||
};
|
||||
say("数据库", db);
|
||||
say("图片缓存", images);
|
||||
say("备份", backups);
|
||||
say("会话与证据", sessionsEvidence);
|
||||
return {
|
||||
db,
|
||||
images,
|
||||
backups,
|
||||
sessionsEvidence,
|
||||
level: worst([db.level, images.level, backups.level, sessionsEvidence.level]),
|
||||
alerts,
|
||||
};
|
||||
}
|
||||
|
||||
/** health 的存储段:库体积实时取,目录用量只用缓存(不等遍历) */
|
||||
export async function storageHealth(d: StorageDeps): Promise<{ level: HealthLevel; alerts: string[] }> {
|
||||
const [bytes, scan] = await Promise.all([
|
||||
dbSize(d.db).catch(() => null),
|
||||
dirScan(d.paths, { wait: false }).catch(() => null),
|
||||
]);
|
||||
const l = levelsOf(d.settings, bytes, scan);
|
||||
return { level: l.level, alerts: l.alerts };
|
||||
}
|
||||
|
||||
export async function buildStorage(
|
||||
d: StorageDeps & { engineSchema: string; refresh?: boolean },
|
||||
): Promise<SystemStorage> {
|
||||
const [bytes, scan, tables, kv, jobs] = await Promise.all([
|
||||
dbSize(d.db).catch(() => null),
|
||||
dirScan(d.paths, { wait: true, force: d.refresh ?? false }).catch(() => null),
|
||||
sql<{
|
||||
schema: string;
|
||||
name: string;
|
||||
total: string;
|
||||
tbl: string;
|
||||
idx: string;
|
||||
rows: number | null;
|
||||
dead: number | null;
|
||||
vac: Date | null;
|
||||
ana: Date | null;
|
||||
}>`select n.nspname as schema, c.relname as name,
|
||||
pg_total_relation_size(c.oid)::text as total, pg_relation_size(c.oid)::text as tbl,
|
||||
pg_indexes_size(c.oid)::text as idx,
|
||||
case when c.reltuples < 0 then null else c.reltuples::bigint end as rows,
|
||||
s.n_dead_tup as dead, s.last_autovacuum as vac,
|
||||
greatest(s.last_analyze, s.last_autoanalyze) as ana
|
||||
from pg_class c join pg_namespace n on n.oid = c.relnamespace
|
||||
left join pg_stat_all_tables s on s.relid = c.oid
|
||||
where c.relkind in ('r', 'm', 'p') and n.nspname not in ('pg_catalog', 'information_schema')
|
||||
and n.nspname not like 'pg_toast%'
|
||||
order by pg_total_relation_size(c.oid) desc limit 15`.execute(d.db),
|
||||
sql<{ region: string; entries: number; expired: number; bytes: string }>`
|
||||
select region, count(*)::int as entries, count(*) filter (where expires_at <= now())::int as expired,
|
||||
coalesce(sum(pg_column_size(value) + pg_column_size(key)), 0)::text as bytes
|
||||
from kv_cache group by region order by region`
|
||||
.execute(d.db)
|
||||
.catch(() => ({ rows: [] })),
|
||||
d.db
|
||||
.selectFrom("scheduled_job")
|
||||
.select(["id", "enabled", "last_run_at", "last_status", "next_run_at"])
|
||||
.where("id", "in", Object.values(CLEANUP_JOB_IDS))
|
||||
.execute()
|
||||
.catch(() => []),
|
||||
]);
|
||||
const lastSummaries = new Map<string, string | null>();
|
||||
if (jobs.length) {
|
||||
const r = await sql<{ job_id: string; summary: string | null; error: string | null }>`
|
||||
select distinct on (job_id) job_id, summary, error from scheduled_job_run
|
||||
where job_id in (${sql.join(jobs.map((j) => j.id))}) and status <> 'running'
|
||||
order by job_id, started_at desc`
|
||||
.execute(d.db)
|
||||
.catch(() => ({ rows: [] as { job_id: string; summary: string | null; error: string | null }[] }));
|
||||
for (const x of r.rows) lastSummaries.set(x.job_id, x.summary ?? x.error);
|
||||
}
|
||||
const l = levelsOf(d.settings, bytes, scan);
|
||||
const s = d.settings;
|
||||
const retentionOf: Record<string, string | null> = {
|
||||
...Object.fromEntries(RETENTION_JOBS.map((j) => [j.target, j.retention(s)])),
|
||||
heartbeat: `${s.retentionDays.heartbeatHours} 小时`,
|
||||
images: `容量 ${s.budgets.imagesGb} GB`,
|
||||
kv_cache: null,
|
||||
};
|
||||
const iso = (v: Date | string | null) => (v ? new Date(v).toISOString() : null);
|
||||
return {
|
||||
level: l.level,
|
||||
checkedAt: new Date().toISOString(),
|
||||
dirsScannedAt: scan ? scan.at.toISOString() : null,
|
||||
db: {
|
||||
...l.db,
|
||||
tables: tables.rows.map((t) => ({
|
||||
schema: t.schema,
|
||||
name: t.name,
|
||||
totalBytes: Number(t.total),
|
||||
tableBytes: Number(t.tbl),
|
||||
indexBytes: Number(t.idx),
|
||||
rowsEstimate: t.rows === null ? null : Number(t.rows),
|
||||
deadRows: t.dead === null ? null : Number(t.dead),
|
||||
lastAutovacuumAt: iso(t.vac),
|
||||
lastAnalyzeAt: iso(t.ana),
|
||||
})),
|
||||
},
|
||||
kvCache: kv.rows.map((r) => ({ region: r.region, entries: r.entries, expired: r.expired, bytes: Number(r.bytes) })),
|
||||
images: { ...l.images, files: scan ? scan.images.files : null },
|
||||
backups: { ...l.backups, count: scan ? scan.backups.count : null },
|
||||
sessionsEvidence: l.sessionsEvidence,
|
||||
dataDir: scan?.dirs ?? [],
|
||||
cleanup: (Object.entries(CLEANUP_JOB_IDS) as [keyof typeof CLEANUP_JOB_IDS, string][]).map(([target, jobId]) => {
|
||||
const j = jobs.find((x) => x.id === jobId);
|
||||
return {
|
||||
target,
|
||||
jobId,
|
||||
retention: retentionOf[target] ?? null,
|
||||
enabled: j ? j.enabled : null,
|
||||
lastRunAt: iso(j?.last_run_at ?? null),
|
||||
lastStatus: j?.last_status ?? null,
|
||||
lastSummary: lastSummaries.get(jobId) ?? null,
|
||||
nextRunAt: iso(j?.next_run_at ?? null),
|
||||
};
|
||||
}),
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,320 @@
|
||||
import { mkdirSync, mkdtempSync, rmSync, writeFileSync } from "node:fs";
|
||||
import { tmpdir } from "node:os";
|
||||
import { join } from "node:path";
|
||||
import { DEFAULT_STORAGE_SETTINGS, SystemHealth, SystemStorage } from "@umt/contracts";
|
||||
import { type RawBuilder, sql } from "@umt/db";
|
||||
import { afterAll, beforeAll, describe, expect, it } from "vitest";
|
||||
import { scheduleRegistry } from "../../src/modules/schedules/registry.ts";
|
||||
import { createSystemModule } from "../../src/modules/system/index.ts";
|
||||
import { CLEANUP_JOB_IDS, deleteInBatches, RETENTION_JOBS } from "../../src/modules/system/retention.ts";
|
||||
import { budgetLevel, resetDirScans } from "../../src/modules/system/storage.ts";
|
||||
import { bearer, createHarness, type Harness, pgAvailable } from "../auth-settings/harness.ts";
|
||||
import { DEV_KEY, json } from "../helpers.ts";
|
||||
|
||||
// CACHE-2 存储预算与保留:保留清理分批与边界、存储面板形状、health 存储档位、手动触发清理。
|
||||
|
||||
const hasPg = await pgAvailable();
|
||||
const DAY = 86_400_000;
|
||||
|
||||
describe("预算档位", () => {
|
||||
it("≥ 预算 critical,≥ 告警线 warn,取不到 unknown", () => {
|
||||
expect(budgetLevel(null, 100, 80)).toBe("unknown");
|
||||
expect(budgetLevel(79, 100, 80)).toBe("ok");
|
||||
expect(budgetLevel(80, 100, 80)).toBe("warn");
|
||||
expect(budgetLevel(100, 100, 80)).toBe("critical");
|
||||
});
|
||||
|
||||
it("每个清理目标都对应一个定时任务", () => {
|
||||
expect(Object.keys(CLEANUP_JOB_IDS).sort()).toEqual(
|
||||
[
|
||||
"observation",
|
||||
"sse_event",
|
||||
"heartbeat",
|
||||
"task_run",
|
||||
"agent_event",
|
||||
"audit",
|
||||
"capability_stats",
|
||||
"identity_pool",
|
||||
"analyze",
|
||||
"images",
|
||||
"kv_cache",
|
||||
].sort(),
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe.skipIf(!hasPg)("CACHE-2 存储(真实 PG)", () => {
|
||||
let h: Harness;
|
||||
let admin: ReturnType<typeof bearer>;
|
||||
const dir = mkdtempSync(join(tmpdir(), "umt-cache2-"));
|
||||
|
||||
beforeAll(async () => {
|
||||
h = await createHarness({ engine: true });
|
||||
const { createApp } = await import("../../src/http/app.ts");
|
||||
const { createAuthSettingsModule } = await import("../../src/modules/auth-settings/index.ts");
|
||||
const sys = createSystemModule({
|
||||
engineSchema: h.engineSchema,
|
||||
apiHeartbeat: false,
|
||||
storagePaths: { dataDir: dir, sessionDir: join(dir, "agent-sessions") },
|
||||
retentionBatch: { batchSize: 3, pauseMs: 0 },
|
||||
healthDeps: {
|
||||
dataDir: dir,
|
||||
diskUsage: async (path) => ({
|
||||
status: "ok",
|
||||
path,
|
||||
totalBytes: 1000,
|
||||
freeBytes: 500,
|
||||
availableBytes: 500,
|
||||
usedBytes: 500,
|
||||
usedRatio: 0.5,
|
||||
}),
|
||||
},
|
||||
});
|
||||
h.app = createApp({
|
||||
config: h.ctx.config,
|
||||
logger: h.ctx.logger,
|
||||
bus: h.bus,
|
||||
db: h.db,
|
||||
role: "all",
|
||||
version: "0.0.0-test",
|
||||
modules: [createAuthSettingsModule({ setupTokenOnStart: false, engineSchema: h.engineSchema }), sys],
|
||||
ctx: h.ctx,
|
||||
}) as Harness["app"];
|
||||
admin = bearer(h.app, DEV_KEY);
|
||||
await sys.start?.(h.ctx);
|
||||
// 目录:图片 3 KB、备份 2 份、会话 1 KB、证据 1 KB
|
||||
mkdirSync(join(dir, "cache", "images", "t", "p", "w92"), { recursive: true });
|
||||
writeFileSync(join(dir, "cache", "images", "t", "p", "w92", "a.jpg"), new Uint8Array(3072));
|
||||
for (const b of ["20260901T000000Z", "20260902T000000Z", ".20260903T000000Z.partial"]) {
|
||||
mkdirSync(join(dir, "backups", b), { recursive: true });
|
||||
writeFileSync(join(dir, "backups", b, "db.dump"), new Uint8Array(1024));
|
||||
}
|
||||
mkdirSync(join(dir, "agent-sessions"), { recursive: true });
|
||||
writeFileSync(join(dir, "agent-sessions", "s.jsonl"), new Uint8Array(1024));
|
||||
mkdirSync(join(dir, "tmp", "evidence"), { recursive: true });
|
||||
writeFileSync(join(dir, "tmp", "evidence", "e.jpg"), new Uint8Array(1024));
|
||||
resetDirScans();
|
||||
}, 60_000);
|
||||
afterAll(async () => {
|
||||
await h?.close();
|
||||
rmSync(dir, { recursive: true, force: true });
|
||||
});
|
||||
|
||||
const job = (target: string) => {
|
||||
const j = RETENTION_JOBS.find((x) => x.target === target)!;
|
||||
return (now = new Date(), settings = DEFAULT_STORAGE_SETTINGS) =>
|
||||
j.run({ db: h.db, engineSchema: h.engineSchema, settings, now, batch: { batchSize: 3, pauseMs: 0 } });
|
||||
};
|
||||
const count = async (q: RawBuilder<{ n: number }>) => Number((await q.execute(h.db)).rows[0]!.n);
|
||||
|
||||
it("保留任务登记在维护组,各自一个 key", () => {
|
||||
const reg = scheduleRegistry(h.ctx);
|
||||
for (const j of RETENTION_JOBS) {
|
||||
expect(reg.get(j.jobId)?.defaults, j.jobId).toMatchObject({ group: "maintain" });
|
||||
}
|
||||
expect(reg.get("storage.analyze")?.defaults.schedule).toMatchObject({ everyMs: 7 * DAY });
|
||||
expect(reg.get("system.heartbeat_cleanup")?.defaults.group).toBe("maintain");
|
||||
});
|
||||
|
||||
it("deleteInBatches:按批删除,只删满足条件的行;总时限到了停在中途,下次接着删", async () => {
|
||||
await sql`insert into sse_event (type, at) select 'x', now() - interval '30 days' from generate_series(1, 10)`.execute(
|
||||
h.db,
|
||||
);
|
||||
await sql`insert into sse_event (type, at) values ('keep', now())`.execute(h.db);
|
||||
// 时钟每次调用前进 1 秒,预算 1.5 秒:删完 2 批就停
|
||||
let t = 0;
|
||||
const r1 = await deleteInBatches(h.db, sql.raw("sse_event"), sql`at < now() - interval '7 days'`, {
|
||||
batchSize: 3,
|
||||
pauseMs: 0,
|
||||
budgetMs: 1500,
|
||||
now: () => (t += 1000),
|
||||
});
|
||||
expect(r1).toEqual({ deleted: 6, batches: 2, truncated: true });
|
||||
const r2 = await deleteInBatches(h.db, sql.raw("sse_event"), sql`at < now() - interval '7 days'`, {
|
||||
batchSize: 3,
|
||||
pauseMs: 0,
|
||||
});
|
||||
expect(r2).toEqual({ deleted: 4, batches: 2, truncated: false });
|
||||
expect(await count(sql<{ n: number }>`select count(*)::int as n from sse_event`)).toBe(1);
|
||||
});
|
||||
|
||||
it("每批语句超时:停止本次运行,不抛错", async () => {
|
||||
await sql`insert into sse_event (type, at) values ('slow', now() - interval '30 days')`.execute(h.db);
|
||||
const r = await deleteInBatches(
|
||||
h.db,
|
||||
sql.raw("sse_event"),
|
||||
sql`at < now() - interval '7 days' and pg_sleep(0.3) is not null`,
|
||||
{ batchSize: 3, statementTimeoutMs: 50 },
|
||||
);
|
||||
expect(r).toEqual({ deleted: 0, batches: 0, truncated: true });
|
||||
await sql`delete from sse_event where type = 'slow'`.execute(h.db);
|
||||
});
|
||||
|
||||
it("观察记录:保留边界(90 天前一刻删,之后保留)", async () => {
|
||||
const feed = (
|
||||
await sql<{
|
||||
id: string;
|
||||
}>`insert into feed_source (name, url_display) values ('rss', 'https://x/rss') returning id`.execute(h.db)
|
||||
).rows[0]!.id;
|
||||
const now = new Date();
|
||||
const ins = (guid: string, at: Date) =>
|
||||
sql`insert into observation (feed_id, guid, content_digest, title, created_at)
|
||||
values (${feed}, ${guid}, ${guid}, ${guid}, ${at})`.execute(h.db);
|
||||
for (let i = 0; i < 5; i++) await ins(`old${i}`, new Date(now.getTime() - 90 * DAY - 60_000 - i));
|
||||
await ins("edge", new Date(now.getTime() - 90 * DAY + 60_000));
|
||||
await ins("new", now);
|
||||
expect(await job("observation")(now)).toMatch(/删除 5 行（2 批）/);
|
||||
const left = await sql<{ guid: string }>`select guid from observation order by guid`.execute(h.db);
|
||||
expect(left.rows.map((r) => r.guid)).toEqual(["edge", "new"]);
|
||||
});
|
||||
|
||||
it("任务运行:只删过期且已结束的业务任务与引擎 run", async () => {
|
||||
const now = new Date();
|
||||
const old = new Date(now.getTime() - 61 * DAY);
|
||||
const ins = (key: string, status: string, at: Date) =>
|
||||
sql`insert into task (kind, idempotency_key, status, created_at) values ('k', ${key}, ${status}, ${at})`.execute(
|
||||
h.db,
|
||||
);
|
||||
await ins("t1", "succeeded", old);
|
||||
await ins("t2", "failed", old);
|
||||
await ins("t3", "running", old);
|
||||
await ins("t4", "succeeded", now);
|
||||
const t = (n: string) => sql.raw(`"${h.engineSchema}".${n}`);
|
||||
const run = (id: string, status: string, at: Date) =>
|
||||
sql`insert into ${t("workflow_runs")} (namespace_id, id, workflow_name, version, status, config, attempts, created_at, updated_at)
|
||||
values ('default', ${id}, 'w', 'v1', ${status}, '{}'::jsonb, 1, ${at}, ${at})`.execute(h.db);
|
||||
await run("r-old-done", "completed", old);
|
||||
await run("r-old-running", "running", old);
|
||||
await run("r-new", "completed", now);
|
||||
expect(await job("task_run")(now)).toMatch(/业务任务 2、引擎 run 1/);
|
||||
expect(
|
||||
(await sql<{ idempotency_key: string }>`select idempotency_key from task order by 1`.execute(h.db)).rows.map(
|
||||
(r) => r.idempotency_key,
|
||||
),
|
||||
).toEqual(["t3", "t4"]);
|
||||
expect(
|
||||
(await sql<{ id: string }>`select id from ${t("workflow_runs")} order by id`.execute(h.db)).rows.map((r) => r.id),
|
||||
).toEqual(expect.arrayContaining(["r-old-running", "r-new"]));
|
||||
expect(
|
||||
await count(sql<{ n: number }>`select count(*)::int as n from ${t("workflow_runs")} where id = 'r-old-done'`),
|
||||
).toBe(0);
|
||||
});
|
||||
|
||||
it("Agent 事件:只删已结束会话里过期的事件;审计与能力统计分开保留", async () => {
|
||||
const now = new Date();
|
||||
const runs = await sql<{ id: string; status: string }>`insert into agent_run (trigger, goal, status)
|
||||
values ('user', 'g', 'succeeded'), ('user', 'g', 'running') returning id, status`.execute(h.db);
|
||||
const done = runs.rows.find((r) => r.status === "succeeded")!.id;
|
||||
const live = runs.rows.find((r) => r.status === "running")!.id;
|
||||
const old = new Date(now.getTime() - 91 * DAY);
|
||||
await sql`insert into agent_run_event (run_id, seq, type, at) values
|
||||
(${done}, 1, 'run_started', ${old}), (${done}, 2, 'run_started', ${now}), (${live}, 1, 'run_started', ${old})`.execute(
|
||||
h.db,
|
||||
);
|
||||
expect(await job("agent_event")(now)).toMatch(/Agent 事件 1、/);
|
||||
expect(await count(sql<{ n: number }>`select count(*)::int as n from agent_run_event`)).toBe(2);
|
||||
|
||||
await sql`delete from audit_event`.execute(h.db);
|
||||
const a = (days: number, targetType: string | null) =>
|
||||
sql`insert into audit_event (actor_type, action, target_type, at)
|
||||
values ('system', 'x', ${targetType}, ${new Date(now.getTime() - days * DAY)})`.execute(h.db);
|
||||
await a(181, null);
|
||||
await a(179, null);
|
||||
await a(100, "capability");
|
||||
await a(80, "capability");
|
||||
await a(181, "capability");
|
||||
expect(await job("audit")(now)).toMatch(/审计事件删除 1 行/);
|
||||
expect(await job("capability_stats")(now)).toMatch(/能力审计 2、/);
|
||||
const left = await sql<{ t: string | null; d: number }>`select target_type as t,
|
||||
round(extract(epoch from now() - at) / 86400)::int as d from audit_event order by d`.execute(h.db);
|
||||
expect(left.rows).toEqual([
|
||||
{ t: "capability", d: 80 },
|
||||
{ t: null, d: 179 },
|
||||
]);
|
||||
});
|
||||
|
||||
it("待识别池:unmatched 超过保留期没有新证据的归档,其余不动", async () => {
|
||||
const site = (
|
||||
await sql<{ id: string }>`insert into site (key, name, adapter, base_url)
|
||||
values ('s-cache2', 'S', 'nexusphp', 'https://s.example') returning id`.execute(h.db)
|
||||
).rows[0]!.id;
|
||||
const now = new Date();
|
||||
const cand = async (rid: string, reason: string, lastAttemptDays: number) => {
|
||||
const sr = (
|
||||
await sql<{ id: string }>`insert into source_release (site_id, site_release_id, title)
|
||||
values (${site}, ${rid}, ${rid}) returning id`.execute(h.db)
|
||||
).rows[0]!.id;
|
||||
await sql`insert into identity_candidate (source_release_id, reason, evidence_version, last_attempt_at)
|
||||
values (${sr}, ${reason}, 'v1', ${new Date(now.getTime() - lastAttemptDays * DAY)})`.execute(h.db);
|
||||
};
|
||||
await cand("r1", "unmatched", 31);
|
||||
await cand("r2", "unmatched", 29);
|
||||
await cand("r3", "ambiguous", 31);
|
||||
expect(await job("identity_pool")(now)).toBe("归档 1 条待识别条目");
|
||||
const st = await sql<{ t: string; s: string }>`select sr.title as t, c.status as s from identity_candidate c
|
||||
join source_release sr on sr.id = c.source_release_id order by sr.title`.execute(h.db);
|
||||
expect(st.rows).toEqual([
|
||||
{ t: "r1", s: "archived" },
|
||||
{ t: "r2", s: "pending" },
|
||||
{ t: "r3", s: "pending" },
|
||||
]);
|
||||
});
|
||||
|
||||
it("ANALYZE 任务", async () => {
|
||||
expect(await job("analyze")()).toMatch(/ANALYZE 完成/);
|
||||
});
|
||||
|
||||
it("GET /system/storage:表体积 top 15、库体积对照预算、kv_cache、目录用量、清理任务", async () => {
|
||||
await sql`insert into kv_cache (region, key, value, expires_at) values
|
||||
('tmdb.request', 'a', '{}'::jsonb, now() + interval '1 day'),
|
||||
('tmdb.request', 'b', '{}'::jsonb, now() - interval '1 day')`.execute(h.db);
|
||||
const res = await admin("GET", "/system/storage");
|
||||
expect(res.status).toBe(200);
|
||||
const d = SystemStorage.parse((await json(res)).data);
|
||||
expect(d.db.tables.length).toBeGreaterThan(0);
|
||||
expect(d.db.tables.length).toBeLessThanOrEqual(15);
|
||||
expect(d.db.usedBytes).toBeGreaterThan(0);
|
||||
expect(d.db.budgetBytes).toBe(25 * 1024 ** 3);
|
||||
expect(d.db.warnBytes).toBe(20 * 1024 ** 3);
|
||||
expect(d.kvCache.find((r) => r.region === "tmdb.request")).toMatchObject({ entries: 2, expired: 1 });
|
||||
expect(d.images).toMatchObject({ usedBytes: 3072, files: 1, level: "ok", budgetBytes: 20 * 1024 ** 3 });
|
||||
expect(d.backups).toMatchObject({ usedBytes: 3072, count: 2, level: "ok" });
|
||||
expect(d.sessionsEvidence).toMatchObject({ usedBytes: 2048, level: "ok" });
|
||||
expect(d.dataDir.map((x) => x.name)).toEqual(
|
||||
expect.arrayContaining(["agent-sessions", "backups", "cache/images", "tmp/evidence"]),
|
||||
);
|
||||
const obs = d.cleanup.find((c) => c.target === "observation")!;
|
||||
expect(obs).toMatchObject({ jobId: "storage.retention.observation", retention: "90 天" });
|
||||
expect(d.cleanup.find((c) => c.target === "heartbeat")?.retention).toBe("24 小时");
|
||||
expect(d.level).toBe("ok");
|
||||
});
|
||||
|
||||
it("预算超了:存储面板与 health 都报出来", async () => {
|
||||
const r = await admin("PATCH", "/settings", {
|
||||
storage: { budgets: { pgDataWarnGb: 0.01, pgDataGb: 50 } },
|
||||
});
|
||||
expect(r.status).toBe(200);
|
||||
// 把 PG 告警线压到库体积之下验证 db warn
|
||||
const d = SystemStorage.parse((await json(await admin("GET", "/system/storage"))).data);
|
||||
expect(d.db.level).toBe("warn");
|
||||
expect(d.level).toBe("warn");
|
||||
const hl = SystemHealth.parse((await json(await admin("GET", "/system/health"))).data);
|
||||
expect(hl.storage.level).toBe("warn");
|
||||
expect(hl.storage.alerts.join("")).toMatch(/数据库/);
|
||||
expect(["warn", "critical"]).toContain(hl.level);
|
||||
await admin("PATCH", "/settings", { storage: { budgets: { pgDataWarnGb: 20, pgDataGb: 25 } } });
|
||||
});
|
||||
|
||||
it("POST /system/storage/cleanup/{target}:排入对应定时任务;重复请求合并;未知目标 422", async () => {
|
||||
await sql`insert into scheduled_job (id, name, board_group, kind, enabled, default_enabled, schedule, default_schedule)
|
||||
values ('storage.retention.audit', '审计清理', 'maintain', 'task', true, true,
|
||||
'{"type":"interval","everyMs":86400000}'::jsonb, '{"type":"interval","everyMs":86400000}'::jsonb)
|
||||
on conflict (id) do nothing`.execute(h.db);
|
||||
const r1 = await json(await admin("POST", "/system/storage/cleanup/audit"));
|
||||
expect(r1.data).toEqual({ target: "audit", jobId: "storage.retention.audit", queued: true });
|
||||
const r2 = await json(await admin("POST", "/system/storage/cleanup/audit"));
|
||||
expect(r2.data.queued).toBe(false);
|
||||
expect((await admin("POST", "/system/storage/cleanup/nope")).status).toBe(422);
|
||||
expect((await admin("POST", "/system/storage/cleanup/observation")).status).toBe(404);
|
||||
});
|
||||
});
|
||||
@@ -2017,6 +2017,21 @@ export const Api = {
|
||||
query: ops.SystemHealthHistoryQuery,
|
||||
response: ops.SystemHealthHistory,
|
||||
}),
|
||||
storage: ep({
|
||||
method: "get",
|
||||
path: "/system/storage",
|
||||
scope: "admin",
|
||||
summary: "存储：表体积前 15、库总体积、各缓存用量与预算、备份占用、DATA_DIR 分目录用量、清理任务状态",
|
||||
response: ops.SystemStorage,
|
||||
}),
|
||||
storageCleanup: ep({
|
||||
method: "post",
|
||||
path: "/system/storage/cleanup/{target}",
|
||||
scope: "admin",
|
||||
summary: "立即执行某个存储清理任务（排入对应定时任务，已在排队或运行中则合并）",
|
||||
params: ops.StorageCleanupParam,
|
||||
response: ops.StorageCleanupResult,
|
||||
}),
|
||||
},
|
||||
|
||||
// ── 引擎面板(仅 admin) ──
|
||||
|
||||
@@ -481,9 +481,110 @@ export const SystemHealth = z.object({
|
||||
),
|
||||
failedRuns24h: NonNegInt,
|
||||
}),
|
||||
/** 存储预算(CACHE-2):PG 库体积、图片缓存、备份、会话与证据对照 settings.storage.budgets;明细见 GET /system/storage */
|
||||
storage: z.object({
|
||||
level: HealthLevel,
|
||||
/** 超出告警线 / 预算的项(人读文案) */
|
||||
alerts: z.array(z.string()),
|
||||
}),
|
||||
});
|
||||
export type SystemHealth = z.infer<typeof SystemHealth>;
|
||||
|
||||
// ── 存储预算与保留(CACHE-2;GET /system/storage、POST /system/storage/cleanup/{target},仅 admin) ──
|
||||
|
||||
/** 手动触发的清理目标;每个对应一个维护组定时任务 */
|
||||
export const StorageCleanupTarget = z.enum([
|
||||
"observation",
|
||||
"sse_event",
|
||||
"heartbeat",
|
||||
"task_run",
|
||||
"agent_event",
|
||||
"audit",
|
||||
"capability_stats",
|
||||
"identity_pool",
|
||||
"analyze",
|
||||
"images",
|
||||
"kv_cache",
|
||||
]);
|
||||
export type StorageCleanupTarget = z.infer<typeof StorageCleanupTarget>;
|
||||
export const StorageCleanupParam = z.object({ target: StorageCleanupTarget });
|
||||
export const StorageCleanupResult = z.object({
|
||||
target: StorageCleanupTarget,
|
||||
/** 对应的定时任务 key */
|
||||
jobId: z.string(),
|
||||
/** false = 已在排队或运行中(请求被合并) */
|
||||
queued: z.boolean(),
|
||||
});
|
||||
export type StorageCleanupResult = z.infer<typeof StorageCleanupResult>;
|
||||
|
||||
/** 一项占用对照预算 */
|
||||
export const StorageBudgetUsage = z.object({
|
||||
usedBytes: NonNegInt.nullable(),
|
||||
/** 预算(critical 线);无预算为 null */
|
||||
budgetBytes: NonNegInt.nullable(),
|
||||
/** 告警线;无单独告警线时为预算的 80% */
|
||||
warnBytes: NonNegInt.nullable(),
|
||||
level: HealthLevel,
|
||||
error: z.string().nullable(),
|
||||
});
|
||||
export type StorageBudgetUsage = z.infer<typeof StorageBudgetUsage>;
|
||||
|
||||
export const SystemStorage = z.object({
|
||||
/** 各项最差档(unknown 不参与) */
|
||||
level: HealthLevel,
|
||||
checkedAt: Timestamp,
|
||||
/** 目录用量的统计时间(目录遍历结果缓存 5 分钟) */
|
||||
dirsScannedAt: Timestamp.nullable(),
|
||||
db: StorageBudgetUsage.extend({
|
||||
/** 体积前 15 的表(含索引与 TOAST) */
|
||||
tables: z.array(
|
||||
z.object({
|
||||
schema: z.string(),
|
||||
name: z.string(),
|
||||
totalBytes: NonNegInt,
|
||||
tableBytes: NonNegInt,
|
||||
indexBytes: NonNegInt,
|
||||
/** 估算行数(pg_class.reltuples);未 ANALYZE 为 null */
|
||||
rowsEstimate: NonNegInt.nullable(),
|
||||
deadRows: NonNegInt.nullable(),
|
||||
lastAutovacuumAt: Timestamp.nullable(),
|
||||
lastAnalyzeAt: Timestamp.nullable(),
|
||||
}),
|
||||
),
|
||||
}),
|
||||
/** PG kv_cache 各 region(条数含未清理的过期行) */
|
||||
kvCache: z.array(z.object({ region: z.string(), entries: NonNegInt, expired: NonNegInt, bytes: NonNegInt })),
|
||||
images: StorageBudgetUsage.extend({ files: NonNegInt.nullable() }),
|
||||
backups: StorageBudgetUsage.extend({ count: NonNegInt.nullable() }),
|
||||
sessionsEvidence: StorageBudgetUsage,
|
||||
/** DATA_DIR 下各一级目录(cache 再细分一层)的用量 */
|
||||
dataDir: z.array(
|
||||
z.object({
|
||||
name: z.string(),
|
||||
path: z.string(),
|
||||
usedBytes: NonNegInt,
|
||||
files: NonNegInt,
|
||||
error: z.string().nullable(),
|
||||
}),
|
||||
),
|
||||
/** 各清理任务的当前设置与最近运行 */
|
||||
cleanup: z.array(
|
||||
z.object({
|
||||
target: StorageCleanupTarget,
|
||||
jobId: z.string(),
|
||||
/** 保留期说明(如 "90 天"、"24 小时"、"容量 20 GB") */
|
||||
retention: z.string().nullable(),
|
||||
/** 定时任务不存在(未登记 / 调度器未同步)时为 null */
|
||||
enabled: z.boolean().nullable(),
|
||||
lastRunAt: Timestamp.nullable(),
|
||||
lastStatus: z.string().nullable(),
|
||||
lastSummary: z.string().nullable(),
|
||||
nextRunAt: Timestamp.nullable(),
|
||||
}),
|
||||
),
|
||||
});
|
||||
export type SystemStorage = z.infer<typeof SystemStorage>;
|
||||
|
||||
export const SystemHealthHistoryQuery = z.object({
|
||||
/** 回看小时数,1–168,缺省 6 */
|
||||
hours: z.coerce.number().int().min(1).max(168).default(6),
|
||||
|
||||
@@ -0,0 +1,79 @@
|
||||
import type { Kysely } from "kysely";
|
||||
import { execDdl } from "../src/migration-helpers.ts";
|
||||
|
||||
// CACHE-2 存储保留(docs/runbook/storage.md):
|
||||
// - 保留清理按时间列分批删除,给还没有时间索引的高流水表补上(已有:task_created_idx、agent_run_event_at_idx、
|
||||
// process_heartbeat_sample_at_idx);
|
||||
// - 按表设置 autovacuum:批量删除 / 追加为主的大表降低触发比例,频繁原地更新的小表更激进,避免死元组堆积。
|
||||
// 引擎 schema(openworkflow)的表由引擎自己建,这里不动。
|
||||
|
||||
const INDEXES: [name: string, ddl: string][] = [
|
||||
["observation_created_idx", "observation (created_at)"],
|
||||
["sse_event_at_idx", "sse_event (at)"],
|
||||
["audit_event_at_idx", "audit_event (at)"],
|
||||
["capability_invocation_created_idx", "capability_invocation (created_at)"],
|
||||
["agent_run_message_created_idx", "agent_run_message (created_at)"],
|
||||
["tasks_fact_created_idx", "tasks_fact (created_at)"],
|
||||
["tasks_run_meta_created_idx", "tasks_run_meta (created_at)"],
|
||||
["tasks_op_ledger_started_idx", "tasks_op_ledger (started_at) where status = 'succeeded'"],
|
||||
];
|
||||
|
||||
/** 追加 + 批量删除为主的大表 */
|
||||
const APPEND_TABLES = [
|
||||
"observation",
|
||||
"sse_event",
|
||||
"audit_event",
|
||||
"agent_run_event",
|
||||
"process_heartbeat_sample",
|
||||
"capability_invocation",
|
||||
"task",
|
||||
"tasks_fact",
|
||||
"tasks_run_meta",
|
||||
];
|
||||
const APPEND_OPTS = {
|
||||
autovacuum_vacuum_scale_factor: "0.05",
|
||||
autovacuum_analyze_scale_factor: "0.02",
|
||||
autovacuum_vacuum_insert_scale_factor: "0.1",
|
||||
};
|
||||
|
||||
/** 频繁原地更新的小表(心跳 15 秒一次、令牌桶、调度状态、缓存命中刷新 accessed_at) */
|
||||
const HOT_TABLES = ["process_heartbeat", "rate_limit_bucket", "scheduled_job", "kv_cache", "outbox_event"];
|
||||
const HOT_OPTS = {
|
||||
autovacuum_vacuum_scale_factor: "0.02",
|
||||
autovacuum_vacuum_threshold: "100",
|
||||
autovacuum_analyze_scale_factor: "0.05",
|
||||
};
|
||||
|
||||
const setOpts = (tables: string[], o: Record<string, string>) =>
|
||||
tables
|
||||
.map(
|
||||
(t) =>
|
||||
`alter table ${t} set (${Object.entries(o)
|
||||
.map(([k, v]) => `${k} = ${v}`)
|
||||
.join(", ")});`,
|
||||
)
|
||||
.join("\n");
|
||||
const resetOpts = (tables: string[], o: Record<string, string>) =>
|
||||
tables.map((t) => `alter table ${t} reset (${Object.keys(o).join(", ")});`).join("\n");
|
||||
|
||||
// biome-ignore lint/suspicious/noExplicitAny: 迁移不依赖应用表类型
|
||||
export async function up(db: Kysely<any>): Promise<void> {
|
||||
await execDdl(
|
||||
db,
|
||||
`${INDEXES.map(([n, d]) => `create index if not exists ${n} on ${d};`).join("\n")}
|
||||
${setOpts(APPEND_TABLES, APPEND_OPTS)}
|
||||
${setOpts(HOT_TABLES, HOT_OPTS)}
|
||||
`,
|
||||
);
|
||||
}
|
||||
|
||||
// biome-ignore lint/suspicious/noExplicitAny: 同上
|
||||
export async function down(db: Kysely<any>): Promise<void> {
|
||||
await execDdl(
|
||||
db,
|
||||
`${resetOpts(HOT_TABLES, HOT_OPTS)}
|
||||
${resetOpts(APPEND_TABLES, APPEND_OPTS)}
|
||||
${INDEXES.map(([n]) => `drop index if exists ${n};`).join("\n")}
|
||||
`,
|
||||
);
|
||||
}
|
||||
Reference in new issue
Block a user