perf(ai-moderation): naikkan cache hit dgn guard akurasi
- Fase-1 exact-cache lookup: N query serial -> SATU query ANY($1::text[]) - Global reuse utk bare key legacy, HANYA verdict non-actionable (clean/flagless/action=none, conf>=0.85, umur<=72h) — flagged/warn tetap context-scoped - Semantic cache dua-band: clean band 0.92 default, actionable tetap 0.97; di antara band -> LLM (fail-open ke akurasi) - hit_count kini di-increment (bulk UPDATE per batch) -> hit-rate terukur - Cache hasil wikipediaSearch di Redis (6h, hanya hasil non-kosong) - Memoize fetchUrlSafely utk type=text (LRU 30m + in-flight dedupe) - makeImageCacheKey strip query CDN Discord (?ex/is/hm, format/width) -> attachment sama = satu key vision, skip re-download+re-vision Spec: .hermes/plans/2026-08-24-ai-analysis-cache-optimization.md Tests: +33 (cacheGuards, discordImageKeyNormalize, cacheBatchLookup)
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// ═══════════════════════════════════════════════════════════════════════════
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// Semantic two-band acceptance + global exact-cache reuse guard
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// ═══════════════════════════════════════════════════════════════════════════
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// Design (2026-08-24): cache hits may be served MORE aggressively for
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// verdicts that cannot trigger enforcement actions, and NEVER more
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// aggressively for actionable ones. Two layers enforce this:
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// - isSemanticBandAccepted: similarity thresholds differ by verdict class
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// (clean band 0.92 default vs strict actionable band 0.97 default).
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// - isGloballyReusableCleanVerdict: context-free (cross-channel) reuse of
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// the legacy bare key only for clean / flagless / action=none verdicts
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// with high confidence and bounded age.
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import { describe, expect, it } from "vitest";
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import {
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isGloballyReusableCleanVerdict,
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type StoredModerationVerdict,
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} from "../src/modules/ai-moderation/textCacheStore.js";
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function makeVerdict(
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overrides: Partial<StoredModerationVerdict> = {},
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): StoredModerationVerdict {
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return {
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status: "clean",
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flags: [],
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score: 0,
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analysis: "",
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categories: [],
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severity: "none",
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confidence: 0.95,
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recommendedAction: "none",
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...overrides,
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};
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}
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describe("isSemanticBandAccepted", () => {
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it("accepts a non-actionable clean verdict at the loose clean band", () => {
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// Default AI_LLM_EMBEDDING_MIN_SIMILARITY_CLEAN = 0.92.
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expect(isBandAccept(makeVerdict(), 0.93)).toBe(true);
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});
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it("accepts a clean verdict exactly at the clean band boundary", () => {
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expect(isBandAccept(makeVerdict({ confidence: 0.99 }), 0.92)).toBe(true);
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});
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it("rejects a clean verdict below the clean band", () => {
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expect(isBandAccept(makeVerdict(), 0.91)).toBe(false);
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});
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it("rejects an actionable flagged verdict between the bands", () => {
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// 0.93 >= clean band BUT < strict band → must NOT be served.
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expect(
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isBandAccept(
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makeVerdict({ status: "flagged", flags: ["hate_speech"] }),
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0.93,
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),
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).toBe(false);
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});
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it("accepts a flagged verdict at the strict band", () => {
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expect(
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isBandAccept(
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makeVerdict({ status: "flagged", flags: ["hate_speech"] }),
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0.98,
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),
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).toBe(true);
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});
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it("rejects a warn verdict below the strict band", () => {
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expect(
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isBandAccept(
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makeVerdict({ status: "warn", recommendedAction: "warn" }),
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0.96,
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),
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).toBe(false);
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});
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it("treats a clean verdict WITH flags as actionable (strict band)", () => {
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expect(isBandAccept(makeVerdict({ flags: ["borderline"] }), 0.93)).toBe(
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false,
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);
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});
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it("treats a clean verdict with a non-none action as actionable", () => {
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expect(
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isBandAccept(makeVerdict({ recommendedAction: "review" }), 0.93),
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).toBe(false);
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});
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});
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// Import indirection so the describe block reads cleanly.
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import { isSemanticBandAccepted as isBandAccept } from "../src/modules/ai-moderation/textCacheStore.js";
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describe("isGloballyReusableCleanVerdict", () => {
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it("accepts a fresh, confident, flagless clean verdict", () => {
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const v = makeVerdict({ confidence: 0.9 });
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expect(isGloballyReusableCleanVerdict(v, Date.now() - 60_000)).toBe(true);
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});
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it("rejects flagged / warn verdicts outright", () => {
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expect(
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isGloballyReusableCleanVerdict(
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makeVerdict({ status: "flagged", flags: ["harassment"] }),
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Date.now(),
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),
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).toBe(false);
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expect(
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isGloballyReusableCleanVerdict(
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makeVerdict({ status: "warn", flags: ["mild"] }),
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Date.now(),
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),
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).toBe(false);
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});
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it("rejects clean verdicts carrying flags", () => {
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expect(
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isGloballyReusableCleanVerdict(makeVerdict({ flags: ["x"] }), Date.now()),
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).toBe(false);
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});
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it("rejects verdicts whose recommended action is not none", () => {
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expect(
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isGloballyReusableCleanVerdict(
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makeVerdict({ recommendedAction: "delete" }),
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Date.now(),
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),
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).toBe(false);
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});
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it("rejects low-confidence verdicts below the guard threshold", () => {
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// Default AI_CACHE_GLOBAL_REUSE_MIN_CONFIDENCE = 0.85.
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expect(
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isGloballyReusableCleanVerdict(
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makeVerdict({ confidence: 0.6 }),
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Date.now(),
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),
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).toBe(false);
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});
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it("accepts confidence exactly at the guard threshold", () => {
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expect(
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isGloballyReusableCleanVerdict(
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makeVerdict({ confidence: 0.85 }),
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Date.now(),
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),
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).toBe(true);
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});
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it("rejects entries older than the freshness window", () => {
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// Default AI_CACHE_GLOBAL_REUSE_MAX_AGE_H = 72h.
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const tooOld = Date.now() - 73 * 60 * 60 * 1000;
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expect(isGloballyReusableCleanVerdict(makeVerdict(), tooOld)).toBe(false);
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const freshEnough = Date.now() - 71 * 60 * 60 * 1000;
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expect(isGloballyReusableCleanVerdict(makeVerdict(), freshEnough)).toBe(
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true,
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);
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});
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it("skips the age check when analyzedAt is unknown", () => {
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expect(isGloballyReusableCleanVerdict(makeVerdict(), undefined)).toBe(true);
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});
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});
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