Implement Experience V1 reflect, retrieval boost, and product metrics.
Add rule-based reflect() to aggregate task outcomes, environment-aware search scoring, experience_saved/recalled events, and structured injection blocks per the V1 schema. Co-authored-by: Cursor <cursoragent@cursor.com>
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+116
-22
@@ -6,6 +6,21 @@ import {
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normalizeExperienceRecordInput,
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serializeExperienceJson,
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} from './experience-schema.mjs';
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import {
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DEFAULT_REFLECT_MIN_GROUP_SIZE,
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planExperienceReflection,
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scoreExperienceRow,
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} from './experience-reflect.mjs';
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import {
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MEMORY_V2_PRODUCT_EVENT_TYPES,
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recordMemoryV2ProductEvent,
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} from './memory-v2-product-events.mjs';
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const EXPERIENCE_SELECT_SQL = `SELECT id, scope, kind, title, body, tags_json, source_session_id,
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source_user_id, use_count, problem, environment_json, hypothesis,
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action_json, result, confidence, evidence_json, parent_experience_id,
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supersedes_id, status, created_at, updated_at
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FROM h5_experience`;
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/**
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* Shared experience store (etat C of the goose scale plan).
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@@ -20,9 +35,11 @@ import {
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* @param {import('mysql2/promise').Pool} pool
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* @param {object} [options]
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* @param {() => number} [options.now] - injectable clock for tests
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* @param {import('mysql2/promise').Pool} [options.productEventsPool] - MySQL pool for product events
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*/
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export function createExperienceService(pool, options = {}) {
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const now = options.now ?? (() => Date.now());
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const productEventsPool = options.productEventsPool ?? pool;
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const halfLifeMs = Math.max(
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60_000,
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Number(options.recencyHalfLifeMs ?? 30 * 24 * 60 * 60 * 1000),
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@@ -30,16 +47,7 @@ export function createExperienceService(pool, options = {}) {
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function rankRows(rows, queryTerms, nowMs) {
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return rows
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.map((row) => {
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const haystack = experienceSearchHaystack(row);
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let keywordScore = 0;
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for (const term of queryTerms) {
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if (haystack.includes(term)) keywordScore += 1;
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}
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const ageMs = Math.max(0, nowMs - Number(row.updated_at));
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const recency = Math.pow(0.5, ageMs / halfLifeMs);
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return { row, score: keywordScore * recency };
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})
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.map((row) => scoreExperienceRow(row, queryTerms, nowMs, halfLifeMs))
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.filter((entry) => entry.score > 0)
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.sort((a, b) => b.score - a.score);
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}
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@@ -56,6 +64,38 @@ export function createExperienceService(pool, options = {}) {
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];
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}
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async function emitExperienceSaved(saved, input) {
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if (!productEventsPool?.query) return;
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await recordMemoryV2ProductEvent(productEventsPool, {
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eventType: MEMORY_V2_PRODUCT_EVENT_TYPES.EXPERIENCE_SAVED,
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userId: saved.sourceUserId,
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sessionId: saved.sourceSessionId,
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data: {
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experienceId: saved.id,
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kind: saved.kind,
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scope: saved.scope,
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result: saved.result ?? null,
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source: input?.source ?? null,
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},
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createdAt: saved.createdAt,
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}).catch(() => {});
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}
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async function emitExperienceRecalled({ query, hits, scope }) {
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if (!productEventsPool?.query || !hits.length) return;
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await recordMemoryV2ProductEvent(productEventsPool, {
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eventType: MEMORY_V2_PRODUCT_EVENT_TYPES.EXPERIENCE_RECALLED,
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userId: hits[0]?.sourceUserId ?? null,
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data: {
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query: String(query ?? '').slice(0, 500),
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scope,
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hitCount: hits.length,
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experienceIds: hits.map((hit) => hit.id),
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kinds: hits.map((hit) => hit.kind),
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},
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}).catch(() => {});
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}
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/**
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* Persist a piece of experience. Returns the stored record.
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*/
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@@ -100,7 +140,7 @@ export function createExperienceService(pool, options = {}) {
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],
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);
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return mapExperienceRow({
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const saved = mapExperienceRow({
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id,
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scope: normalized.scope,
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kind: normalized.kind,
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@@ -123,6 +163,8 @@ export function createExperienceService(pool, options = {}) {
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created_at: ts,
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updated_at: ts,
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});
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void emitExperienceSaved(saved, input);
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return saved;
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}
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/**
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@@ -133,11 +175,7 @@ export function createExperienceService(pool, options = {}) {
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const terms = tokenize(query);
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if (terms.length === 0) return [];
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const [rows] = await pool.query(
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`SELECT id, scope, kind, title, body, tags_json, source_session_id,
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source_user_id, use_count, problem, environment_json, hypothesis,
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action_json, result, confidence, evidence_json, parent_experience_id,
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supersedes_id, status, created_at, updated_at
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FROM h5_experience
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`${EXPERIENCE_SELECT_SQL}
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WHERE scope = ? AND status = 'active'
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ORDER BY updated_at DESC
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LIMIT 500`,
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@@ -154,16 +192,72 @@ export function createExperienceService(pool, options = {}) {
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)
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.catch(() => {});
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}
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return ranked.map((entry) => mapExperienceRow(entry.row));
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const hits = ranked.map((entry) => mapExperienceRow(entry.row));
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void emitExperienceRecalled({ query, hits, scope });
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return hits;
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}
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/**
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* Placeholder for the reflection pass that distills raw session traces into
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* durable lessons. Wired later once the record() trigger points are defined;
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* kept here so the calling contract is stable.
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* Rule-based reflection: aggregate repeated task_outcome rows into one
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* execution_pattern. No LLM; idempotent per problem fingerprint.
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*/
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async function reflect() {
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return { ok: false, reason: 'not_implemented' };
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async function reflect({
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scope = 'global',
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minGroupSize = DEFAULT_REFLECT_MIN_GROUP_SIZE,
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dryRun = false,
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} = {}) {
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const [rows] = await pool.query(
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`${EXPERIENCE_SELECT_SQL}
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WHERE scope = ?
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ORDER BY updated_at DESC
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LIMIT 2000`,
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[scope],
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);
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const plans = planExperienceReflection(rows, { minGroupSize });
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if (dryRun) {
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return {
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ok: true,
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dryRun: true,
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scope,
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groupsEligible: plans.length,
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wouldArchive: plans.reduce((sum, plan) => sum + plan.sourceIds.length, 0),
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previews: plans.map((plan) => ({
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fingerprint: plan.fingerprint,
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sourceCount: plan.sourceIds.length,
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title: plan.payload.title,
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})),
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};
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}
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let created = 0;
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let archived = 0;
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const patterns = [];
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for (const plan of plans) {
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const saved = await record({
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...plan.payload,
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scope,
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source: 'reflect',
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});
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const placeholders = plan.sourceIds.map(() => '?').join(',');
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await pool.query(
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`UPDATE h5_experience
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SET status = 'archived', parent_experience_id = ?, updated_at = ?
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WHERE id IN (${placeholders})`,
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[saved.id, now(), ...plan.sourceIds],
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);
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created += 1;
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archived += plan.sourceIds.length;
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patterns.push(saved);
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}
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return {
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ok: true,
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dryRun: false,
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scope,
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created,
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archived,
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patterns,
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};
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}
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return { record, search, reflect };
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