Merge branches 'fix/connected-find-order', 'fix/pending-embed-low-water' and 'fix/related-verb-array' into rel/10.4.9-candidate
This commit is contained in:
commit
d5147ed608
4 changed files with 412 additions and 66 deletions
131
src/brainy.ts
131
src/brainy.ts
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@ -1820,31 +1820,31 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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// a deferred write's ack and its background embed DELAYED a vector;
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// this is where it lands.
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if (!this.isReadOnly) {
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try {
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await step(
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'bridge-pending-embed-sidecars',
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'migrating any pre-log deferred-embed marker files into the generation log',
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() => this.bridgeLegacyPendingEmbedSidecars()
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)
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await step(
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'recover-pending-embeds',
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'folding the generation log\'s deferred-embed markers back into the pending set',
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() => this.recoverPendingEmbedsFromLog()
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)
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if (this._pendingEmbedIds.size > 0) {
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prodLog.info(
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`[Brainy] ${this._pendingEmbedIds.size} deferred embed(s) pending from a previous ` +
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`session — resuming in the background`
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// BEHIND THE DOORS (the open pays nothing here): the bridge + the
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// recovery fold run as one latched background task; the embed worker
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// starts when it settles. A pending embed's outcome was always
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// eventual — moving its recovery off the open's foreground changes
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// when the worker starts, never whether a marker is honored.
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// awaitPendingEmbeds() and close() wait on the latch first.
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this._pendingEmbedRecovery = (async () => {
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try {
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await this.bridgeLegacyPendingEmbedSidecars()
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await this.recoverPendingEmbedsFromLog()
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if (this._pendingEmbedIds.size > 0) {
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prodLog.info(
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`[Brainy] ${this._pendingEmbedIds.size} deferred embed(s) pending from a previous ` +
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`session — resuming in the background`
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)
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const t = setTimeout(() => this.kickEmbedWorker(), 0)
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;(t as { unref?: () => void }).unref?.()
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}
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} catch (err) {
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prodLog.warn(
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`[Brainy] pending-embed recovery failed: ${(err as Error).message} — ` +
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`the log's markers remain durable; recovery retries next open`
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)
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const t = setTimeout(() => this.kickEmbedWorker(), 0)
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;(t as { unref?: () => void }).unref?.()
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}
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} catch (err) {
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prodLog.warn(
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`[Brainy] pending-embed recovery failed: ${(err as Error).message} — ` +
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`the log's markers remain durable; recovery retries next open`
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)
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}
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})()
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}
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// PHASE 4 of 5 — "VFS bootstrap": shutdown-hook registration, blob
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@ -2408,6 +2408,19 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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*/
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private static readonly PENDING_EMBED_PREFIX = '_system/pending_embeds/'
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/**
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* Storage-root-relative path of the ADVISORY pending-embed low-water mark:
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* `{ generation, writtenAt }`, written whenever the pending set drains to
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* empty (and at clean close when empty). Every marker in facts at or below
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* `generation` is consumed, so recovery scans from `generation + 1`. The
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* mark is advisory and monotone-safe: stale-low costs a longer scan, never
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* a lost marker; it is never required for correctness.
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*/
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private static readonly PENDING_EMBED_LOWWATER_PATH = '_system/pending_embeds_lowwater.json'
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/** Resolves when the background pending-embed recovery fold has settled (open arms it). */
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private _pendingEmbedRecovery: Promise<void> | null = null
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/**
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* @description Mark a deferred embed pending (MT5): the id joins the
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* in-memory fast-path set and the returned `embed.pending` record is
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@ -2435,6 +2448,40 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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*/
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private clearPendingEmbed(id: string): void {
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this._pendingEmbedIds.delete(id)
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if (this._pendingEmbedIds.size === 0) this.maybeWriteEmbedLowWater()
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}
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/**
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* @description Advance the advisory low-water mark: called at drain-to-empty
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* (and at clean close when empty), it records the fact log's CURRENT head —
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* with the set empty, every marker at or below the head has been consumed,
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* so the next open's recovery fold scans only what comes after. Fire-and-
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* forget at the drain (close() awaits the core); loud on failure: a missed
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* write costs the next open a longer scan, never a marker. No-op without a
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* fact log (no durable markers exist there) and on read-only opens.
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*/
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private maybeWriteEmbedLowWater(): void {
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void this.writeEmbedLowWater()
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}
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/** The awaitable core of {@link maybeWriteEmbedLowWater} — close() awaits it. */
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private async writeEmbedLowWater(): Promise<void> {
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if (this.isReadOnly) return
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const log = this.generationStore ? this.generationStore.getFactLog() : null
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if (!log) return
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const generation = log.headGeneration()
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if (!(generation > 0)) return
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try {
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await this.storage.writeRawObject(Brainy.PENDING_EMBED_LOWWATER_PATH, {
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generation,
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writtenAt: Date.now()
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})
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} catch (err) {
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prodLog.warn(
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`[Brainy] pending-embed low-water write failed at generation ${generation}: ` +
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`${(err as Error).message} — the next open scans from the previous mark`
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)
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}
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}
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/**
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@ -2445,9 +2492,14 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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* survives the fold is exactly the set of acknowledged deferred writes
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* whose vectors have not landed.
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*
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* BOUND (honest): no durable low-water mark exists for the earliest
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* unconsumed pending, so the fold scans the log's committed facts from
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* generation 1 — a sequential read of the log at open, O(log bytes).
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* BOUND: the scan starts at the advisory low-water mark
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* ({@link Brainy.PENDING_EMBED_LOWWATER_PATH}) — the log head at which the
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* pending set last drained to empty — so a settled brain reads only the
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* facts since then, not its whole history. Without a mark (first open
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* after upgrade) it scans from generation 1, once; a stale-low mark costs
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* a longer scan, never a marker. The fold runs BEHIND the doors (open
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* arms it as a background task and the embed worker starts when it
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* settles); {@link awaitPendingEmbeds} and close() wait for it first.
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* It is SKIPPED WHOLESALE when the log has never had a v2 tail
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* ({@link FactLog.hasV2History} — v1 facts cannot carry marker records),
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* so pre-cutover brains pay nothing; on a mixed log the scan still reads
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@ -2460,7 +2512,18 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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private async recoverPendingEmbedsFromLog(): Promise<void> {
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const log = this.generationStore.getFactLog()
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if (!log || !log.hasV2History()) return
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const scan = log.scanFacts({ fromGeneration: 1 })
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let fromGeneration = 1
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try {
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const mark = (await this.storage.readRawObject(Brainy.PENDING_EMBED_LOWWATER_PATH)) as {
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generation?: number
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} | null
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if (mark && typeof mark.generation === 'number' && mark.generation > 0) {
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fromGeneration = mark.generation + 1
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}
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} catch {
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// No mark (or unreadable): scan from 1 — correctness over cost.
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}
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const scan = log.scanFacts({ fromGeneration })
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for await (const batch of scan.batches()) {
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for (const fact of batch.facts) {
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for (const record of fact.records ?? []) {
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@ -2647,6 +2710,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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* before I proceed" callers use this; nothing else ever needs to wait.
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*/
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public async awaitPendingEmbeds(): Promise<void> {
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if (this._pendingEmbedRecovery) await this._pendingEmbedRecovery
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while (this._pendingEmbedIds.size > 0 || this._embedWorkerFlight) {
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this.kickEmbedWorker()
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await (this._embedWorkerFlight ?? Promise.resolve())
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@ -19520,6 +19584,19 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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* terminal releases have run.
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*/
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async close(): Promise<void> {
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if (this._pendingEmbedRecovery) {
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// Settle the background marker fold before the durable steps — its scan
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// is bounded by the low-water mark (a full scan happens at most once,
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// on the first open after upgrade).
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const settleStart = Date.now()
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await this._pendingEmbedRecovery
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const settleMs = Date.now() - settleStart
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if (settleMs >= 1000) {
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prodLog.info(`[Brainy] close: pending-embed recovery settled in ${settleMs}ms`)
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}
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this._pendingEmbedRecovery = null
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}
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if (this._pendingEmbedIds.size === 0) await this.writeEmbedLowWater()
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let closeFailure: unknown = null
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try {
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await this.closeDurableSteps()
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@ -2942,19 +2942,33 @@ export abstract class BaseStorage extends BaseStorageAdapter {
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!options.filter.service &&
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!options.filter.metadata
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) {
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const sourceId = Array.isArray(options.filter.sourceId)
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? options.filter.sourceId[0]
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: options.filter.sourceId
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const sourceIds = Array.isArray(options.filter.sourceId)
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? options.filter.sourceId
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: [options.filter.sourceId]
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const verbType = Array.isArray(options.filter.verbType)
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? options.filter.verbType[0]
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: options.filter.verbType
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// EVERY requested verb type is honoured — an array used to collapse to
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// its first element here, silently dropping the rest of the ask.
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const verbTypes = new Set(
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Array.isArray(options.filter.verbType)
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? options.filter.verbType
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: [options.filter.verbType]
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)
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// Get verbs by source, then filter by type (O(1) graph lookup + O(n) type filter),
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// then apply the subtype / visibility metadata filters on the candidate set.
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const verbsBySource = await this.getVerbsBySource_internal(sourceId)
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// Get verbs by source (union over every requested source), filter by the
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// requested type SET (O(1) graph lookup + O(n) type filter), then apply
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// the subtype / visibility metadata filters on the candidate set.
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const bySource: HNSWVerbWithMetadata[] = []
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const seenVerbIds = new Set<string>()
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for (const oneSource of sourceIds) {
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for (const v of await this.getVerbsBySource_internal(oneSource)) {
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if (!seenVerbIds.has(v.id)) {
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seenVerbIds.add(v.id)
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bySource.push(v)
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}
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}
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}
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const filteredVerbs = this.applyVerbMetadataFilters(
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verbsBySource.filter(v => v.verb === verbType),
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bySource.filter(v => verbTypes.has(v.verb)),
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options.filter
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)
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@ -2985,16 +2999,22 @@ export abstract class BaseStorage extends BaseStorageAdapter {
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!options.filter.service &&
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!options.filter.metadata
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) {
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const sourceId = Array.isArray(options.filter.sourceId)
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? options.filter.sourceId[0]
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: options.filter.sourceId
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// Get verbs by source directly (hydrated with metadata), then apply the
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// subtype / visibility metadata filters on the O(degree) candidate set.
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const verbsBySource = this.applyVerbMetadataFilters(
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await this.getVerbsBySource_internal(sourceId),
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options.filter
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)
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// EVERY requested source is honoured — an array used to collapse to
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// its first element here, silently dropping the rest of the ask.
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const onlySourceIds = Array.isArray(options.filter.sourceId)
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? options.filter.sourceId
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: [options.filter.sourceId]
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const sourceUnion: HNSWVerbWithMetadata[] = []
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const seenSourceVerbIds = new Set<string>()
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for (const oneSource of onlySourceIds) {
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for (const v of await this.getVerbsBySource_internal(oneSource)) {
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if (!seenSourceVerbIds.has(v.id)) {
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seenSourceVerbIds.add(v.id)
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sourceUnion.push(v)
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}
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}
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}
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const verbsBySource = this.applyVerbMetadataFilters(sourceUnion, options.filter)
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// Apply pagination
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const paginatedVerbs = verbsBySource.slice(offset, offset + limit)
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@ -3023,16 +3043,22 @@ export abstract class BaseStorage extends BaseStorageAdapter {
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!options.filter.service &&
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!options.filter.metadata
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) {
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const targetId = Array.isArray(options.filter.targetId)
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? options.filter.targetId[0]
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: options.filter.targetId
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// Get verbs by target directly (hydrated with metadata), then apply the
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// subtype / visibility metadata filters on the O(degree) candidate set.
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const verbsByTarget = this.applyVerbMetadataFilters(
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await this.getVerbsByTarget_internal(targetId),
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options.filter
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)
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// EVERY requested target is honoured — an array used to collapse to
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// its first element here, silently dropping the rest of the ask.
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const onlyTargetIds = Array.isArray(options.filter.targetId)
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? options.filter.targetId
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: [options.filter.targetId]
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const targetUnion: HNSWVerbWithMetadata[] = []
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const seenTargetVerbIds = new Set<string>()
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for (const oneTarget of onlyTargetIds) {
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for (const v of await this.getVerbsByTarget_internal(oneTarget)) {
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if (!seenTargetVerbIds.has(v.id)) {
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seenTargetVerbIds.add(v.id)
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targetUnion.push(v)
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}
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}
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}
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const verbsByTarget = this.applyVerbMetadataFilters(targetUnion, options.filter)
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// Apply pagination
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const paginatedVerbs = verbsByTarget.slice(offset, offset + limit)
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@ -3061,16 +3087,25 @@ export abstract class BaseStorage extends BaseStorageAdapter {
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!options.filter.service &&
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!options.filter.metadata
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) {
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const verbType = Array.isArray(options.filter.verbType)
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? options.filter.verbType[0]
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: options.filter.verbType
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// EVERY requested verb type is honoured — an array used to collapse to
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// its first element here, silently dropping the rest of the ask.
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const verbTypes = Array.isArray(options.filter.verbType)
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? options.filter.verbType
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: [options.filter.verbType]
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// Get verbs by type directly (hydrated with metadata), then apply the
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// subtype / visibility metadata filters on the candidate set.
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const verbsByType = this.applyVerbMetadataFilters(
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await this.getVerbsByType_internal(verbType),
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options.filter
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)
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// Get verbs by each requested type (hydrated with metadata), deduped by
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// id, then apply the subtype / visibility metadata filters on the set.
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const byType: HNSWVerbWithMetadata[] = []
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const seenTypeVerbIds = new Set<string>()
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for (const oneType of verbTypes) {
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for (const v of await this.getVerbsByType_internal(oneType)) {
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if (!seenTypeVerbIds.has(v.id)) {
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seenTypeVerbIds.add(v.id)
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byType.push(v)
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}
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}
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}
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const verbsByType = this.applyVerbMetadataFilters(byType, options.filter)
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// Apply pagination
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const paginatedVerbs = verbsByType.slice(offset, offset + limit)
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