refactor(gateway): remove user reputation feature entirely
Drop trust-score/infraction system: delete userReputationStore, remove call sites in fallback/batch processors, drop formatReputationAttrs, drop user_reputations table (migration 0016), delete trust-model test, update docs.
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asepharyana
@@ -1,12 +1,11 @@
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// ═══════════════════════════════════════════════════════════════════════════
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// Context enrichment builders — rich <user_reputation> attrs, <user_history>,
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// <user_profiles> as_of, bot/edited detection (pure, no DB)
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// Context enrichment builders — <user_history>, <user_profiles> as_of,
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// bot/edited detection (pure, no DB)
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// ═══════════════════════════════════════════════════════════════════════════
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import { describe, expect, it } from "vitest";
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import {
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buildUserHistoryXml,
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buildUserProfilesBlock,
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formatReputationAttrs,
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resolveIsBot,
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resolveIsEdited,
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} from "../src/modules/ai-moderation/moderationBuilders.js";
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@@ -42,72 +41,6 @@ function msg(overrides: Partial<MessageRecord> = {}): MessageRecord {
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const DAY_MS = 24 * 60 * 60 * 1000;
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describe("formatReputationAttrs — rich reputation signal", () => {
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it("emits trust, infraction count and clean streak", () => {
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const attrs = formatReputationAttrs({
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trust_score: 62,
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total_infractions: 3,
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clean_message_streak: 45,
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last_infraction_at: null,
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});
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expect(attrs).toContain('trust_score="62"');
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expect(attrs).toContain('total_infractions="3"');
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expect(attrs).toContain('clean_streak="45"');
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});
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it("derives last_offense_days_ago and marks repeat offenders (7-day window)", () => {
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const attrs = formatReputationAttrs(
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{
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trust_score: 50,
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total_infractions: 2,
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clean_message_streak: 0,
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last_infraction_at: NOW - 2 * DAY_MS,
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},
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NOW,
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);
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expect(attrs).toContain('last_offense_days_ago="2"');
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expect(attrs).toContain('repeat_offender="true"');
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});
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it("does NOT mark repeat offender when the last offense is older than 7 days", () => {
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const attrs = formatReputationAttrs(
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{
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trust_score: 50,
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total_infractions: 2,
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clean_message_streak: 10,
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last_infraction_at: NOW - 30 * DAY_MS,
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},
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NOW,
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);
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expect(attrs).toContain('last_offense_days_ago="30"');
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expect(attrs).not.toContain("repeat_offender");
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});
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it("omits offense-derived attrs when the user has no recorded infraction date", () => {
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const attrs = formatReputationAttrs({
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trust_score: 85,
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total_infractions: 0,
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clean_message_streak: 120,
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last_infraction_at: null,
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});
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expect(attrs).not.toContain("last_offense_days_ago");
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expect(attrs).not.toContain("repeat_offender");
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});
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it("clamps a future/skewed timestamp to days_ago=0", () => {
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const attrs = formatReputationAttrs(
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{
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trust_score: 50,
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total_infractions: 1,
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clean_message_streak: 0,
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last_infraction_at: NOW + 5 * DAY_MS,
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},
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NOW,
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);
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expect(attrs).toContain('last_offense_days_ago="0"');
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});
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});
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describe("buildUserHistoryXml — last flagged messages for repeat offenders", () => {
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it("returns empty when there is no real history", () => {
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expect(buildUserHistoryXml([])).toBe("");
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@@ -1,93 +0,0 @@
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// ═══════════════════════════════════════════════════════════════════════════
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// Trust model v2 — pure math tests (no DB required)
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// ═══════════════════════════════════════════════════════════════════════════
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import { describe, expect, it } from "vitest";
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import {
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computeCleanTrustGain,
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computeInfractionPenalty,
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INFRACTION_FLOORS,
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INFRACTION_PENALTIES,
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TRUST_DEFAULTS,
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} from "../src/modules/ai-moderation/userReputationStore.js";
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describe("computeCleanTrustGain — trust CAN rise", () => {
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it("grants +1 every CLEAN_MESSAGES_PER_POINT clean messages", () => {
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const before = computeCleanTrustGain(14);
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expect(before.newStreak).toBe(15);
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expect(before.trustGain).toBe(1);
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const after = computeCleanTrustGain(15);
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expect(after.newStreak).toBe(16);
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expect(after.trustGain).toBe(0);
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});
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it("keeps compounding past the threshold (no wasted progress)", () => {
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expect(computeCleanTrustGain(29).trustGain).toBe(1);
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expect(computeCleanTrustGain(44).trustGain).toBe(1);
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// 45 clean messages from a fresh start → 3 points of recovery
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let gain = 0;
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let streak = 0;
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for (let i = 0; i < 45; i++) {
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const r = computeCleanTrustGain(streak);
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streak = r.newStreak;
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gain += r.trustGain;
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}
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expect(gain).toBe(3);
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});
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});
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describe("computeInfractionPenalty — fair and escalating", () => {
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const NOW = Date.now();
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it("applies base penalty for a repeat offender outside the window", () => {
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const r = computeInfractionPenalty({
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totalInfractions: 3,
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lastInfractionAt: NOW - TRUST_DEFAULTS.REPEAT_OFFENSE_WINDOW_MS - 1000,
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severity: "medium",
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now: NOW,
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});
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expect(r.penalty).toBe(INFRACTION_PENALTIES.medium); // 6
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expect(r.appliedRules.firstOffense).toBe(false);
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expect(r.appliedRules.repeatEscalation).toBe(false);
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});
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it("halves the penalty for a first offense (leniency)", () => {
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const r = computeInfractionPenalty({
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totalInfractions: 0,
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lastInfractionAt: null,
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severity: "high",
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now: NOW,
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});
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expect(r.penalty).toBe(Math.ceil(INFRACTION_PENALTIES.high / 2)); // 6
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expect(r.appliedRules.firstOffense).toBe(true);
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});
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it("escalates ×1.5 for a repeat offense within 7 days", () => {
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const r = computeInfractionPenalty({
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totalInfractions: 2,
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lastInfractionAt: NOW - 60 * 60 * 1000, // 1h ago
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severity: "medium",
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now: NOW,
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});
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expect(r.penalty).toBe(Math.ceil(INFRACTION_PENALTIES.medium * 1.5)); // 9
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expect(r.appliedRules.repeatEscalation).toBe(true);
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});
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it("critical first offense still hurts but is halved", () => {
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const r = computeInfractionPenalty({
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totalInfractions: 0,
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lastInfractionAt: null,
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severity: "critical",
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now: NOW,
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});
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expect(r.penalty).toBe(Math.ceil(INFRACTION_PENALTIES.critical / 2)); // 13
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});
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it("severity floors prevent minor offenses from zeroing a user", () => {
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expect(INFRACTION_FLOORS.low).toBeGreaterThan(0);
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expect(INFRACTION_FLOORS.medium).toBeGreaterThan(0);
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// high/critical can still reach zero — severe behavior has consequences
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expect(INFRACTION_FLOORS.high).toBe(0);
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expect(INFRACTION_FLOORS.critical).toBe(0);
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});
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});
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