feat(cache): PG kv_cache ported from MP TTLCache, TMDB request and recognize caches

Migration 0042_cache adds UNLOGGED kv_cache. PgCache mirrors MP
runtime/cache.py (region, per-key TTL, TLRU maxsize eviction, @cached as
cachedCall); only the storage moves from memory to PG. TMDB request
responses (MP TMDb.request @cached) and recognize results (MP TmdbCache:
same key, {id:0} negative cache with EMPTY_RESULT_CACHE_TTL, type-conflict
checks, backfill after manual assignment) live in kv_cache, shared by all
processes. Settings cache.tmdbTtlHours / tmdbMaxSize / emptyResultTtlSec
map to META_CACHE_EXPIRE / CONF.tmdb / EMPTY_RESULT_CACHE_TTL. TMDB
details now also store posterPath / backdropPath.

Co-Authored-By: Claude Opus 5.5 <[email protected]>

packages/adapters/src/tmdb/client.ts

@@ -59,6 +59,8 @@ export interface MetadataCandidate {
   overview: string | null;
   /** TMDB poster_path(如 `/abc.jpg`),拼图片 CDN 用;没有为 null */
   posterPath: string | null;
+  /** TMDB backdrop_path;没有为 null(旧数据 / 测试构造可缺省) */
+  backdropPath?: string | null;
   seasons?: CandidateSeason[];
   externalIds?: { imdb?: string; tvdb?: string };
   /** 是否已拉过详情(别名/季信息只在详情中完整) */
@@ -98,12 +100,30 @@ export interface TmdbConfig {
   minIntervalMs?: number;
   /** 默认 max 1024、ttl 24h;空结果(搜索 0 条)用 emptyTtlMs,默认 30min(对照 MP EMPTY_RESULT_CACHE_TTL) */
   cache?: { max?: number; ttlMs?: number; emptyTtlMs?: number };
+  /**
+   * 跨进程共享的请求缓存(服务端传 PG 缓存);给了就不再用进程内 LRU。
+   * 语义对照 MP @cached(skip_none、业务失败不缓存、results 为空按 emptyTtlMs)。
+   */
+  sharedCache?: TmdbSharedCache;
   fetch?: typeof fetch;
   now?: () => number;
 }
 
 type Json = Record<string, unknown>;
 
+/**
+ * 共享请求缓存端口(对照 MP TMDb.request 的 @cached;服务端用 PG 实现):key 为 `path?query`(不含凭证);
+ * get 未命中返回 null;set 的 ttlMs 由客户端按 ttl / 空结果短 TTL 决定。
+ */
+export interface TmdbSharedCache {
+  get(key: string): Promise<unknown | null>;
+  set(key: string, value: unknown, ttlMs: number): Promise<void>;
+}
+
+/** 空结果(搜索 0 条)用短 TTL(对照 MP EMPTY_RESULT_CACHE_TTL) */
+const isEmptyResult = (v: unknown) =>
+  Array.isArray((v as Json | null)?.results) && ((v as Json).results as unknown[]).length === 0;
+
 const sleep = (ms: number) => new Promise((r) => setTimeout(r, ms));
 const s = (v: unknown): string | null => (typeof v === "string" && v !== "" ? v : null);
 const n = (v: unknown): number | null => (typeof v === "number" && Number.isFinite(v) ? v : null);
@@ -130,6 +150,11 @@ export class TmdbClient {
     return redactUrl(text, [this.cfg.apiKey, this.cfg.accessToken]);
   }
 
+  /** 首选查询语言(识别缓存键里的语言段,对照 MP TMDB_LOCALE) */
+  get language(): string {
+    return this.langs[0]!;
+  }
+
   cacheStats() {
     return { size: this.cache.size, hits: this.cache.hits, misses: this.cache.misses, coalesced: this.cache.coalesced };
   }
@@ -139,13 +164,21 @@ export class TmdbClient {
     for (const k of Object.keys(params).sort()) if (params[k] !== undefined) qs.set(k, params[k]!);
     const key = `${path}?${qs}`;
     const emptyTtl = this.cfg.cache?.emptyTtlMs ?? 30 * 60_000;
+    if (this.cfg.sharedCache) {
+      const shared = this.cfg.sharedCache;
+      const hit = await shared.get(key);
+      if (hit !== null && hit !== undefined) return hit as T;
+      // 网络错误 / 业务失败在 fetchWithRetry 抛出,不会走到写缓存(MP skip_none / skip_if)
+      const v = await this.limiter.run(() => this.fetchWithRetry(path, qs));
+      if (v !== null && v !== undefined) {
+        await shared.set(key, v, isEmptyResult(v) ? emptyTtl : (this.cfg.cache?.ttlMs ?? 24 * 3600_000));
+      }
+      return v as T;
+    }
     return this.cache.getOrLoad(
       key,
       () => this.limiter.run(() => this.fetchWithRetry(path, qs)),
-      (v) =>
-        Array.isArray((v as Json | null)?.results) && ((v as Json).results as unknown[]).length === 0
-          ? emptyTtl
-          : undefined,
+      (v) => (isEmptyResult(v) ? emptyTtl : undefined),
     ) as Promise<T>;
   }
 
@@ -269,6 +302,7 @@ export class TmdbClient {
       popularity: n(r.popularity),
       overview: s(r.overview),
       posterPath: s(r.poster_path),
+      backdropPath: s(r.backdrop_path),
       detailed: false,
     };
   }

packages/adapters/src/tmdb/tmdb.test.ts

@@ -110,6 +110,31 @@ describe("TmdbClient 缓存/限流/错误分类", () => {
     expect(mock.calls.length).toBe(n1 * 2);
   });
 
+  it("共享响应缓存:给了 sharedCache 就走它,key 不含凭证,空结果 30 分钟,其余按 ttlMs", async () => {
+    const store = new Map<string, { v: unknown; ttl: number }>();
+    const { mock, tmdb } = await setup({
+      cache: { ttlMs: 7 * 3600_000 },
+      sharedCache: {
+        get: async (key) => store.get(key)?.v ?? null,
+        set: async (key, v, ttl) => {
+          store.set(key, { v, ttl });
+        },
+      },
+    });
+    await tmdb.details("movie", 872585);
+    const n1 = mock.calls.length;
+    await tmdb.details("movie", 872585);
+    expect(mock.calls.length).toBe(n1);
+    await tmdb.search("不存在的片名xyz", { type: "movie" });
+    const keys = [...store.keys()];
+    expect(keys.some((k) => k.includes("test-tmdb-key"))).toBe(false);
+    const detailKey = keys.find((k) => k.startsWith("/movie/872585?"))!;
+    expect(store.get(detailKey)!.ttl).toBe(7 * 3600_000);
+    const emptyKey = keys.find((k) => k.startsWith("/search/movie?"))!;
+    expect(store.get(emptyKey)!.ttl).toBe(30 * 60_000);
+    expect(tmdb.cacheStats().size).toBe(0);
+  });
+
   it("并发合并:同一请求并发只发一次", async () => {
     const { mock, tmdb } = await setup();
     await Promise.all(Array.from({ length: 5 }, () => tmdb.season(100088, 1)));

packages/contracts/src/content.ts

@@ -189,6 +189,7 @@ export const EntityMetadataField = z.enum([
   "originalLanguage",
   "originCountry",
   "posterPath",
+  "backdropPath",
 ]);
 export type EntityMetadataField = z.infer<typeof EntityMetadataField>;
 

packages/contracts/src/search.ts

@@ -52,6 +52,8 @@ export const TmdbCandidate = z.object({
   year: z.number().int().nullable(),
   overview: z.string().nullable(),
   popularity: z.number().nullable(),
+  /** TMDB poster_path;前端经图片代理显示海报 */
+  posterPath: z.string().nullable().optional(),
   /** 已有本地作品接受了这个 TMDB 身份时给出(跟随合并跳转),前端显示"查看"而不是"订阅" */
   localEntityId: Id.nullable(),
 });

packages/contracts/src/settings.ts

@@ -24,6 +24,16 @@ const CacheShape = z.object({
   checkIntervalSec: z.number().int().min(10).max(3600),
   /** 缓存清理的目标使用率(低水位) */
   cleanupTargetPercent: Percent,
+  /** TMDB 缓存(请求响应 + 识别结果)保留小时数(对照 MP META_CACHE_EXPIRE,缺省 24) */
+  tmdbTtlHours: z.number().int().min(1).max(720),
+  /** TMDB 缓存每类条数上限,超出删最旧(对照 MP CONF.tmdb,缺省 256;大内存模式 1024) */
+  tmdbMaxSize: z.number().int().min(16).max(100_000),
+  /** 空结果 / 未识别的短缓存秒数(对照 MP EMPTY_RESULT_CACHE_TTL,缺省 1800) */
+  emptyResultTtlSec: z.number().int().min(0).max(86_400),
+  /** 图片代理落盘缓存(对照 MP GLOBAL_IMAGE_CACHE,缺省关闭;关闭时仍代理,只是不落盘) */
+  globalImageCache: z.boolean(),
+  /** 图片缓存保留天数,超过即清理(对照 MP GLOBAL_IMAGE_CACHE_DAYS,缺省 7) */
+  globalImageCacheDays: z.number().int().min(1).max(3650),
 });
 /** 下载缓存卷硬阈值与恢复水位(REQ §8.4.1) */
 export const CacheSettings = CacheShape.refine((v) => v.resumePercent < v.hardThresholdPercent, {
@@ -330,7 +340,17 @@ export type SettingsKey = z.infer<typeof SettingsKey>;
 /** 缺省设置(settings 表缺 key 或缺字段时使用) */
 export const DEFAULT_SETTINGS: GlobalSettings = {
   automation: { enabled: true, readOnlyReconcile: false },
-  cache: { hardThresholdPercent: 90, resumePercent: 85, checkIntervalSec: 60, cleanupTargetPercent: 80 },
+  cache: {
+    hardThresholdPercent: 90,
+    resumePercent: 85,
+    checkIntervalSec: 60,
+    cleanupTargetPercent: 80,
+    tmdbTtlHours: 24,
+    tmdbMaxSize: 256,
+    emptyResultTtlSec: 1800,
+    globalImageCache: false,
+    globalImageCacheDays: 7,
+  },
   organize: { defaultMode: "copy", allowCrossVolumeMove: true, minSizeBytes: 50 * 1024 * 1024 },
   retention: { seedRetentionDays: 7, logRetentionDays: 180 },
   pi: {
@@ -587,10 +607,22 @@ export const SETTINGS_SECTIONS: readonly SettingsSectionDef[] = [
   {
     id: "metadata",
     label: "元数据",
-    description: "TMDB API Key 与地址",
+    description: "TMDB API Key 与地址、TMDB 缓存、图片代理",
     legacyTabs: [],
-    anchors: [{ id: "tmdb", label: "TMDB" }],
-    fields: ["metadata.tmdbApiKeySecretRef", "metadata.tmdbBaseUrl"],
+    anchors: [
+      { id: "tmdb", label: "TMDB" },
+      { id: "tmdb-cache", label: "TMDB 缓存" },
+      { id: "images", label: "图片代理与缓存" },
+    ],
+    fields: [
+      "metadata.tmdbApiKeySecretRef",
+      "metadata.tmdbBaseUrl",
+      "cache.tmdbTtlHours",
+      "cache.tmdbMaxSize",
+      "cache.emptyResultTtlSec",
+      "cache.globalImageCache",
+      "cache.globalImageCacheDays",
+    ],
     resources: [],
   },
   {

packages/contracts/test/db-sync.test.ts

@@ -130,6 +130,9 @@ const INTERNAL_TABLES = [
   "SseEvent",
   // W9-C 命名模板版本登记(0032):服务端内部,经 /naming/* 暴露
   "NamingTemplateVersion",
+  // C2-A 跨进程限流桶(0041)与 PG 缓存(0042):服务端内部,缓存经 /cache/* 的专用 DTO 暴露
+  "RateLimitBucket",
+  "KvCache",
   // W9-I 进程心跳(0034):服务端内部,经 /system/health 的专用 DTO 暴露
   "ProcessHeartbeat",
   "ProcessHeartbeatSample",

packages/db/migrations/0042_cache.ts

@@ -0,0 +1,30 @@
+import type { Kysely } from "kysely";
+import { dropTables, execDdl } from "../src/migration-helpers.ts";
+
+// C2-A 缓存:移植 MP app/runtime/cache.py 的 TTLCache(cachetools TLRUCache:按 region 分区、每个 key 独立 TTL、
+// maxsize 超限先删过期再删最久未用),存储从进程内存换成 PG UNLOGGED 表(不写 WAL,崩溃后清空,正合缓存语义),三进程共享。
+// expires_at 过期即视为未命中;accessed_at 为最近读写时间(LRU 依据);定时任务 cache.sweep 每 10 分钟删过期行。
+
+// 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,
+    `
+create unlogged table kv_cache (
+  region text not null,
+  key text not null,
+  value jsonb not null,
+  expires_at timestamptz not null,
+  updated_at timestamptz not null default now(),
+  accessed_at timestamptz not null default now(),
+  primary key (region, key)
+);
+create index kv_cache_expires_idx on kv_cache (expires_at);
+`,
+  );
+}
+
+// biome-ignore lint/suspicious/noExplicitAny: 同上
+export async function down(db: Kysely<any>): Promise<void> {
+  await execDdl(db, dropTables(["kv_cache"]));
+}

packages/db/src/cache.ts

@@ -0,0 +1,175 @@
+import { type Kysely, sql } from "kysely";
+import type { DB } from "./types.ts";
+
+/**
+ * PG 缓存后端:移植 MP app/runtime/cache.py 的内存后端(MemoryBackend + _MemoryTLRUCache)与 @cached 装饰器语义,
+ * 只把存储从进程内存换成 PG UNLOGGED 表 kv_cache(迁移 0042),三进程共享。行为对照(docs/porting/moviepilot-tmdb-cache.md):
+ * - region 分区;set 时每个 key 独立 TTL(秒),ttl ≤ 0 = 删除该 key;未给 ttl 用后端缺省(DEFAULT_CACHE_TTL 365 天);
+ * - maxsize 按 region 计条数,超出时先删已过期、再删最久未用(TLRU);get 命中刷新"最近使用";
+ * - get 未命中 / 已过期返回 null;clear(region) 清一个区;items(region) 列出未过期条目;
+ * - cached():skipNone / skipEmpty / skipIf 不写缓存,emptyTtl + emptyIf 空结果短 TTL,fresh 跳过读缓存。
+ * 与 MP 的差异只在存储介质:值用 JSON(jsonb)而不是 pickle;过期行由定时任务 sweep() 物理删除。
+ */
+
+/** MP DEFAULT_CACHE_TTL(秒) */
+export const DEFAULT_CACHE_TTL = 365 * 24 * 60 * 60;
+/** MP DEFAULT_CACHE_SIZE */
+export const DEFAULT_CACHE_SIZE = 1024;
+
+// biome-ignore lint/suspicious/noExplicitAny: 测试会传入隔离 schema 的实例
+type AnyDb = Kysely<DB> | Kysely<any>;
+
+export interface SetOptions {
+  /** 秒;缺省 DEFAULT_CACHE_TTL;≤ 0 删除该 key */
+  ttl?: number;
+  /** region 条数上限;缺省 DEFAULT_CACHE_SIZE */
+  maxsize?: number;
+}
+
+export class PgCache {
+  constructor(private readonly db: AnyDb) {}
+
+  /** MemoryBackend.set */
+  async set(region: string, key: string, value: unknown, opts: SetOptions = {}): Promise<void> {
+    const ttl = opts.ttl ?? DEFAULT_CACHE_TTL;
+    if (ttl <= 0) {
+      await this.delete(region, key);
+      return;
+    }
+    await sql`insert into kv_cache (region, key, value, expires_at, updated_at, accessed_at)
+      values (${region}, ${key}, ${JSON.stringify(value ?? null)}::jsonb, now() + make_interval(secs => ${ttl}), now(), now())
+      on conflict (region, key) do update set value = excluded.value, expires_at = excluded.expires_at,
+        updated_at = excluded.updated_at, accessed_at = excluded.accessed_at`.execute(this.db);
+    await this.evict(region, opts.maxsize ?? DEFAULT_CACHE_SIZE);
+  }
+
+  /** TLRUCache 写入时的淘汰:先删已过期,再按最近使用从旧到新删到 maxsize */
+  private async evict(region: string, maxsize: number): Promise<void> {
+    await sql`delete from kv_cache where region = ${region} and expires_at <= now()`.execute(this.db);
+    await sql`delete from kv_cache where region = ${region} and key in (
+        select key from kv_cache where region = ${region}
+         order by accessed_at desc, updated_at desc offset ${Math.max(1, Math.floor(maxsize))})`.execute(this.db);
+  }
+
+  /** MemoryBackend.get:未命中 / 过期返回 null;命中刷新最近使用时间 */
+  async get<T = unknown>(region: string, key: string): Promise<T | null> {
+    const r = await sql<{ value: T }>`update kv_cache set accessed_at = now()
+      where region = ${region} and key = ${key} and expires_at > now() returning value`.execute(this.db);
+    return r.rows.length ? (r.rows[0]!.value as T) : null;
+  }
+
+  async exists(region: string, key: string): Promise<boolean> {
+    const r =
+      await sql`select 1 from kv_cache where region = ${region} and key = ${key} and expires_at > now()`.execute(
+        this.db,
+      );
+    return r.rows.length > 0;
+  }
+
+  async delete(region: string, key: string): Promise<void> {
+    await sql`delete from kv_cache where region = ${region} and key = ${key}`.execute(this.db);
+  }
+
+  /** 清一个区,返回删除行数 */
+  async clear(region: string): Promise<number> {
+    const r = await sql`delete from kv_cache where region = ${region}`.execute(this.db);
+    return Number(r.numAffectedRows ?? 0);
+  }
+
+  /** MemoryBackend.items:未过期条目(附过期时间与大小,管理界面用),按 key 排序 */
+  async items<T = unknown>(
+    region: string,
+    limit = 5000,
+  ): Promise<{ key: string; value: T; expiresAt: Date; updatedAt: Date; bytes: number }[]> {
+    const r = await sql<{ key: string; value: T; expires_at: Date; updated_at: Date; bytes: number }>`
+      select key, value, expires_at, updated_at, pg_column_size(value)::int as bytes
+        from kv_cache where region = ${region} and expires_at > now() order by key limit ${limit}`.execute(this.db);
+    return r.rows.map((x) => ({
+      key: x.key,
+      value: x.value,
+      expiresAt: x.expires_at,
+      updatedAt: x.updated_at,
+      bytes: Number(x.bytes),
+    }));
+  }
+
+  /** 未过期条目数(len(region_cache)) */
+  async count(region: string): Promise<number> {
+    const r = await sql<{ n: number }>`select count(*)::int as n from kv_cache
+      where region = ${region} and expires_at > now()`.execute(this.db);
+    return Number(r.rows[0]?.n ?? 0);
+  }
+
+  /** 删除全部过期行(存储换成 PG 后需要的物理清理;cache.sweep 定时任务) */
+  async sweep(): Promise<number> {
+    const r = await sql`delete from kv_cache where expires_at <= now()`.execute(this.db);
+    return Number(r.numAffectedRows ?? 0);
+  }
+}
+
+/** MP @cached 的参数 */
+export interface CachedOptions<T> {
+  region: string;
+  maxsize?: number;
+  /** 秒 */
+  ttl?: number;
+  /** 缺省 true:结果为 null / undefined 不缓存 */
+  skipNone?: boolean;
+  /** 缺省 false:结果为假值(空数组 / 空对象 / 空串…)不缓存 */
+  skipEmpty?: boolean;
+  /** 返回真值时不缓存(如业务失败的响应) */
+  skipIf?: (v: T) => boolean;
+  /** 空结果的独立 TTL(秒) */
+  emptyTtl?: number;
+  /** 判断空结果;缺省按假值 */
+  emptyIf?: (v: T) => boolean;
+  /** MP fresh():true 时不读缓存(仍写) */
+  fresh?: boolean;
+}
+
+const isFalsy = (v: unknown) =>
+  !v || (Array.isArray(v) && v.length === 0) || (typeof v === "object" && Object.keys(v as object).length === 0);
+
+/** MP @cached 的调用体:命中直接返回;否则执行 fn,按 should_cache / get_cache_ttl 写入 */
+export async function cachedCall<T>(
+  cache: PgCache,
+  key: string,
+  o: CachedOptions<T>,
+  fn: () => Promise<T>,
+): Promise<T> {
+  const should = (v: T | null | undefined) => {
+    if ((o.skipNone ?? true) && (v === null || v === undefined)) return false;
+    if (o.skipEmpty && isFalsy(v)) return false;
+    if (o.skipIf && v !== null && v !== undefined && o.skipIf(v)) return false;
+    return true;
+  };
+  if (!o.fresh) {
+    const hit = await cache.get<T>(o.region, key);
+    if (should(hit)) return hit as T;
+  }
+  const result = await fn();
+  if (!should(result)) return result;
+  let ttl = o.ttl;
+  if (o.emptyTtl !== undefined) {
+    if (result === null || result === undefined) ttl = o.emptyTtl;
+    else if (o.emptyIf) ttl = o.emptyIf(result) ? o.emptyTtl : o.ttl;
+    else ttl = isFalsy(result) ? o.emptyTtl : o.ttl;
+  }
+  await cache.set(o.region, key, result, {
+    ...(ttl !== undefined ? { ttl } : {}),
+    ...(o.maxsize ? { maxsize: o.maxsize } : {}),
+  });
+  return result;
+}
+
+const caches = new WeakMap<object, PgCache>();
+
+/** 同一个 Kysely 实例共用一个 PgCache */
+export function pgCacheFor(db: AnyDb): PgCache {
+  let c = caches.get(db);
+  if (!c) {
+    c = new PgCache(db);
+    caches.set(db, c);
+  }
+  return c;
+}

packages/db/src/index.ts

@@ -1,5 +1,14 @@
 // 统一从本包取 Kysely 与 sql,避免各包各装一份 kysely
 export { type Kysely, sql, type Transaction } from "kysely";
+export {
+  type CachedOptions,
+  cachedCall,
+  DEFAULT_CACHE_SIZE,
+  DEFAULT_CACHE_TTL,
+  PgCache,
+  pgCacheFor,
+  type SetOptions as CacheSetOptions,
+} from "./cache.ts";
 export { type CreateDbOptions, createDb } from "./client.ts";
 export { createMigrator, MIGRATIONS_DIR, type MigratorOptions, migrateToLatest, resetSchema } from "./migrator.ts";
 export {

packages/db/src/types.ts

@@ -827,6 +827,15 @@ export interface IdentityRevisionTable {
   updated_at: GeneratedTimestamptz;
 }
 
+export interface KvCacheTable {
+  region: string;
+  key: string;
+  value: Json;
+  expires_at: Timestamptz;
+  updated_at: GeneratedTimestamptz;
+  accessed_at: GeneratedTimestamptz;
+}
+
 export interface LibraryRootTable {
   id: Generated<string>;
   name: string;
@@ -1642,6 +1651,7 @@ export interface DB {
   identity_candidate: IdentityCandidateTable;
   identity_redirect: IdentityRedirectTable;
   identity_revision: IdentityRevisionTable;
+  kv_cache: KvCacheTable;
   library_root: LibraryRootTable;
   login_attempt: LoginAttemptTable;
   mcp_server_config: McpServerConfigTable;
@@ -1787,6 +1797,9 @@ export type IdentityRedirectUpdate = Updateable<IdentityRedirectTable>;
 export type IdentityRevisionRow = Selectable<IdentityRevisionTable>;
 export type NewIdentityRevision = Insertable<IdentityRevisionTable>;
 export type IdentityRevisionUpdate = Updateable<IdentityRevisionTable>;
+export type KvCacheRow = Selectable<KvCacheTable>;
+export type NewKvCache = Insertable<KvCacheTable>;
+export type KvCacheUpdate = Updateable<KvCacheTable>;
 export type LibraryRootRow = Selectable<LibraryRootTable>;
 export type NewLibraryRoot = Insertable<LibraryRootTable>;
 export type LibraryRootUpdate = Updateable<LibraryRootTable>;

packages/db/test/cache.test.ts

@@ -0,0 +1,110 @@
+import { Kysely, PostgresDialect, sql } from "kysely";
+import pg from "pg";
+import { afterAll, beforeAll, describe, expect, it } from "vitest";
+import { cachedCall, type DB, migrateToLatest, PgCache } from "../src/index.ts";
+
+// PG 缓存后端(0042 kv_cache,UNLOGGED;移植 MP runtime/cache.py 的 TTLCache / @cached 语义)。
+const url = process.env.DATABASE_URL ?? "postgres://umt:umt@localhost:55433/umt";
+const skip = process.env.UMT_SKIP_DB_TESTS === "1";
+const schema = `umt_cache_${process.pid}_${Date.now().toString(36)}`;
+
+describe.skipIf(skip)("PgCache(真实 PG)", () => {
+  let admin: Kysely<unknown>;
+  let db: Kysely<DB>;
+
+  beforeAll(async () => {
+    admin = new Kysely({ dialect: new PostgresDialect({ pool: new pg.Pool({ connectionString: url, max: 1 }) }) });
+    await sql.raw(`create schema ${schema}`).execute(admin);
+    db = new Kysely<DB>({
+      dialect: new PostgresDialect({
+        pool: new pg.Pool({ connectionString: url, max: 4, options: `-c search_path=${schema},public` }),
+      }),
+    });
+    await migrateToLatest(db, { migrationTableSchema: schema });
+  });
+
+  afterAll(async () => {
+    await db?.destroy();
+    await sql.raw(`drop schema if exists ${schema} cascade`).execute(admin);
+    await admin?.destroy();
+  });
+
+  it("kv_cache 是 UNLOGGED 表", async () => {
+    const r = await sql<{ p: string }>`select relpersistence as p from pg_class c
+      join pg_namespace n on n.oid = c.relnamespace where n.nspname = ${schema} and c.relname = 'kv_cache'`.execute(db);
+    expect(r.rows[0]?.p).toBe("u");
+  });
+
+  it("set/get 跨实例共享;每个 key 独立 TTL,过期即未命中;ttl ≤ 0 删除;clear / items / count / sweep", async () => {
+    const a = new PgCache(db);
+    const b = new PgCache(db);
+    await a.set("t", "k1", { x: 1, list: [1, 2] }, { ttl: 60 });
+    expect(await b.get("t", "k1")).toEqual({ x: 1, list: [1, 2] });
+    expect(await b.get("t", "nope")).toBeNull();
+    await a.set("t", "short", "v", { ttl: 0.05 });
+    await new Promise((r) => setTimeout(r, 120));
+    expect(await b.get("t", "short")).toBeNull();
+    expect(await a.exists("t", "k1")).toBe(true);
+    await a.set("t", "k1", "x", { ttl: 0 });
+    expect(await a.exists("t", "k1")).toBe(false);
+    await a.set("t", "k2", 2, { ttl: 60 });
+    expect((await a.items("t")).map((i) => i.key)).toEqual(["k2"]);
+    expect(await a.count("t")).toBe(1);
+    await sql`update kv_cache set expires_at = now() - interval '1 second' where region = 't'`.execute(db);
+    expect(await a.sweep()).toBe(1);
+    await a.set("t", "k3", 3, { ttl: 60 });
+    expect(await a.clear("t")).toBe(1);
+  });
+
+  it("maxsize:超限先删过期,再删最久未用(get 命中刷新最近使用,对照 TLRUCache)", async () => {
+    const c = new PgCache(db);
+    const tick = () => new Promise((r) => setTimeout(r, 5));
+    await c.set("cap", "expired", 0, { ttl: 0.01, maxsize: 3 });
+    await tick();
+    await tick();
+    for (const k of ["a", "b", "c"]) {
+      await c.set("cap", k, k, { ttl: 60, maxsize: 3 });
+      await tick();
+    }
+    await c.get("cap", "a"); // a 最近使用
+    await tick();
+    await c.set("cap", "d", "d", { ttl: 60, maxsize: 3 });
+    expect((await c.items("cap")).map((i) => i.key)).toEqual(["a", "c", "d"]);
+    const all = await sql<{ n: number }>`select count(*)::int as n from kv_cache where region = 'cap'`.execute(db);
+    expect(all.rows[0]!.n).toBe(3);
+  });
+
+  it("cachedCall(@cached):skipNone / skipIf 不写;空结果按 emptyTtl;fresh 跳过读", async () => {
+    const c = new PgCache(db);
+    let n = 0;
+    const o = {
+      region: "cc",
+      ttl: 3600,
+      emptyTtl: 1800,
+      emptyIf: (v: { results: unknown[] }) => v.results.length === 0,
+    };
+    const full = () =>
+      cachedCall(c, "full", o, async () => {
+        n++;
+        return { results: [1] };
+      });
+    await full();
+    await full();
+    expect(n).toBe(1);
+    await cachedCall(c, "empty", o, async () => ({ results: [] }));
+    const ttl = await sql<{ k: string; s: number }>`select key as k, extract(epoch from expires_at - now()) as s
+      from kv_cache where region = 'cc' order by key`.execute(db);
+    expect(Number(ttl.rows.find((r) => r.k === "empty")!.s)).toBeLessThanOrEqual(1800);
+    expect(Number(ttl.rows.find((r) => r.k === "full")!.s)).toBeGreaterThan(1800);
+    await cachedCall(c, "none", o, async () => null as unknown as { results: unknown[] });
+    await cachedCall(c, "fail", { ...o, skipIf: () => true }, async () => ({ results: [1] }));
+    expect(await c.exists("cc", "none")).toBe(false);
+    expect(await c.exists("cc", "fail")).toBe(false);
+    await cachedCall(c, "full", { ...o, fresh: true }, async () => {
+      n++;
+      return { results: [2] };
+    });
+    expect(n).toBe(2);
+    expect(await c.get("cc", "full")).toEqual({ results: [2] });
+  });
+});

packages/db/test/schema.test.ts

@@ -117,6 +117,8 @@ const EXPECTED_TABLES = [
   "webauthn_challenge",
   // C2-A 跨进程站点限流(0041)
   "rate_limit_bucket",
+  // C2-A PG 短期缓存(0042,UNLOGGED)
+  "kv_cache",
 ].sort();
 
 /** 不走 entityTable() 的表:追加型/引擎自有表,没有 uuid id + created_at/updated_at 三件套 */
@@ -143,6 +145,8 @@ const NON_ENTITY_TABLES = [
   "webauthn_challenge",
   // 限流桶:key 主键,只有 updated_at
   "rate_limit_bucket",
+  // 缓存:(region, key) 主键
+  "kv_cache",
 ];
 
 describe.skipIf(skip)("schema migrations (real PG)", () => {