fix: flush all native providers on shutdown to prevent data loss
Shutdown/close/flush now properly flushes all 4 components in parallel: metadataIndex, graphIndex, HNSW dirty nodes, and storage counts. Previously only counts were flushed, causing native provider data loss on restart. Also: - Wire roaring, msgpack, entityIdMapper provider consumption from plugins - Fix allOf filter O(n²) intersection → O(n) Set-based - Fix ne/exists negation filter to use Set-based exclusion - Add setMsgpackImplementation() swap in SSTable for native msgpack - Add setRoaringImplementation() swap for native CRoaring bitmaps - Add getAllIntIds() to EntityIdMapper for bitmap operations - Remove TypeAwareHNSWIndex from default index creation path - Export memory detection utilities from internals - Clean up 26 permanently-skipped dead tests
This commit is contained in:
parent
b87426409d
commit
773c5171c3
24 changed files with 297 additions and 1268 deletions
362
src/brainy.ts
362
src/brainy.ts
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@ -7,7 +7,8 @@
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import { v4 as uuidv4 } from './universal/uuid.js'
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import { HNSWIndex } from './hnsw/hnswIndex.js'
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import { TypeAwareHNSWIndex } from './hnsw/typeAwareHNSWIndex.js'
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// TypeAwareHNSWIndex removed from default path — single unified HNSWIndex is faster
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// for the 99% of queries that don't filter by type (avoids searching 42 separate graphs)
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import { createStorage } from './storage/storageFactory.js'
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import { BaseStorage } from './storage/baseStorage.js'
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import { StorageAdapter, Vector, DistanceFunction, EmbeddingFunction, GraphVerb } from './coreTypes.js'
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@ -48,14 +49,12 @@ import {
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import {
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SaveNounMetadataOperation,
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SaveNounOperation,
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AddToTypeAwareHNSWOperation,
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AddToHNSWOperation,
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AddToMetadataIndexOperation,
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SaveVerbMetadataOperation,
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SaveVerbOperation,
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AddToGraphIndexOperation,
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RemoveFromHNSWOperation,
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RemoveFromTypeAwareHNSWOperation,
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RemoveFromMetadataIndexOperation,
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RemoveFromGraphIndexOperation,
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UpdateNounMetadataOperation,
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@ -135,8 +134,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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private static instances: Brainy[] = []
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// Core components
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private index!: HNSWIndex | TypeAwareHNSWIndex
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private indexIsTypeAware = false // true when index supports addItem(item, type) / search(v, k, type)
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private index!: HNSWIndex
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private storage!: BaseStorage
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private metadataIndex!: MetadataIndexManager
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private graphIndex!: GraphAdjacencyIndex
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@ -275,7 +273,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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try {
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// Auto-detect and activate plugins BEFORE storage setup
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// so plugin-provided storage factories (e.g., mmap-filesystem) are available
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// so plugin-provided storage factories (e.g., filesystem override from cortex) are available
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await this.loadPlugins()
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// Setup and initialize storage (checks plugin storage factories first)
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@ -301,6 +299,20 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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setGlobalCache(cacheProvider)
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}
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// Provider: roaring bitmaps (native CRoaring replacement for WASM)
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const roaringProvider = this.pluginRegistry.getProvider<any>('roaring')
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if (roaringProvider) {
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const { setRoaringImplementation } = await import('./utils/roaring/index.js')
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setRoaringImplementation(roaringProvider)
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}
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// Provider: msgpack (native replacement for JS @msgpack/msgpack)
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const msgpackProvider = this.pluginRegistry.getProvider<any>('msgpack')
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if (msgpackProvider) {
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const { setMsgpackImplementation } = await import('./graph/lsm/SSTable.js')
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setMsgpackImplementation(msgpackProvider)
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}
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// Provider: distance function (resolve BEFORE setupIndex — index uses this.distance)
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const nativeDistance = this.pluginRegistry.getProvider<DistanceFunction>('distance')
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if (nativeDistance) {
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@ -309,14 +321,18 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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// Provider: HNSW index factory (plugin or JS fallback)
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this.index = this.createIndex()
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this.indexIsTypeAware = this.index instanceof TypeAwareHNSWIndex
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|| typeof (this.index as any).getIndexForType === 'function'
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// Provider: metadata index factory
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const metadataFactory = this.pluginRegistry.getProvider<(storage: StorageAdapter) => any>('metadataIndex')
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this.metadataIndex = metadataFactory
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? metadataFactory(this.storage)
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: new MetadataIndexManager(this.storage)
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if (metadataFactory) {
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this.metadataIndex = metadataFactory(this.storage)
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} else {
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// JS fallback — inject native EntityIdMapper if cortex provides one
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const entityIdMapperFactory = this.pluginRegistry.getProvider<(storage: StorageAdapter) => any>('entityIdMapper')
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this.metadataIndex = new MetadataIndexManager(this.storage, {}, {
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entityIdMapper: entityIdMapperFactory ? entityIdMapperFactory(this.storage) : undefined,
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})
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}
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// Provider: graph index factory
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const graphFactory = this.pluginRegistry.getProvider<(storage: StorageAdapter) => any>('graphIndex')
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@ -440,21 +456,42 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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*/
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private registerShutdownHooks(): void {
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const flushOnShutdown = async () => {
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console.log('⚠️ Shutdown signal received - flushing pending counts...')
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console.log('Shutdown signal received - flushing pending data...')
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try {
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// Flush counts for all Brainy instances
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let flushedCount = 0
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for (const instance of Brainy.instances) {
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if (instance.storage && typeof (instance.storage as any).flushCounts === 'function') {
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await (instance.storage as any).flushCounts()
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if (instance.initialized) {
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// Full flush: counts + metadata index + graph index + HNSW dirty nodes
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await Promise.all([
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(async () => {
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if (instance.storage && typeof (instance.storage as any).flushCounts === 'function') {
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await (instance.storage as any).flushCounts()
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}
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})(),
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(async () => {
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if (instance.metadataIndex && typeof instance.metadataIndex.flush === 'function') {
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await instance.metadataIndex.flush()
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}
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})(),
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(async () => {
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if (instance.graphIndex && typeof instance.graphIndex.flush === 'function') {
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await instance.graphIndex.flush()
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}
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})(),
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(async () => {
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if (instance.index && typeof (instance.index as any).flush === 'function') {
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await (instance.index as any).flush()
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}
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})()
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])
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flushedCount++
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}
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}
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if (flushedCount > 0) {
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console.log(`✅ Counts flushed successfully (${flushedCount} instance${flushedCount > 1 ? 's' : ''})`)
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console.log(`Flushed successfully (${flushedCount} instance${flushedCount > 1 ? 's' : ''})`)
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}
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} catch (error) {
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console.error('❌ Failed to flush counts on shutdown:', error)
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console.error('Failed to flush on shutdown:', error)
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}
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}
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@ -755,20 +792,9 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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)
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// Operation 3: Add to HNSW index (after entity saved)
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if (this.indexIsTypeAware) {
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tx.addOperation(
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new AddToTypeAwareHNSWOperation(
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this.index as any,
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id,
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vector,
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params.type as any
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)
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)
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} else {
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tx.addOperation(
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new AddToHNSWOperation(this.index as any, id, vector)
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)
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}
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tx.addOperation(
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new AddToHNSWOperation(this.index as any, id, vector)
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)
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// Operation 4: Add to metadata index
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tx.addOperation(
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@ -1182,31 +1208,12 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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// Operation 3-4: Update HNSW index (remove and re-add if reindexing needed)
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if (needsReindexing) {
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if (this.indexIsTypeAware) {
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tx.addOperation(
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new RemoveFromTypeAwareHNSWOperation(
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this.index as any,
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params.id,
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existing.vector,
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existing.type as any
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)
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)
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tx.addOperation(
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new AddToTypeAwareHNSWOperation(
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this.index as any,
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params.id,
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vector,
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newType as any
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)
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)
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} else {
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tx.addOperation(
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new RemoveFromHNSWOperation(this.index as any, params.id, existing.vector)
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)
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tx.addOperation(
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new AddToHNSWOperation(this.index as any, params.id, vector)
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)
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}
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tx.addOperation(
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new RemoveFromHNSWOperation(this.index as any, params.id, existing.vector)
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)
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tx.addOperation(
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new AddToHNSWOperation(this.index as any, params.id, vector)
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)
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}
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// Operation 5-6: Update metadata index (remove old, add new)
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@ -1264,21 +1271,10 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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// Execute atomically with transaction system
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await this.transactionManager.executeTransaction(async (tx) => {
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// Operation 1: Remove from vector index
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if (noun && metadata) {
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if (this.indexIsTypeAware && metadata.noun) {
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tx.addOperation(
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new RemoveFromTypeAwareHNSWOperation(
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this.index as any,
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id,
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noun.vector,
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metadata.noun as any
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)
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)
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} else {
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tx.addOperation(
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new RemoveFromHNSWOperation(this.index as any, id, noun.vector)
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)
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}
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if (noun) {
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tx.addOperation(
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new RemoveFromHNSWOperation(this.index as any, id, noun.vector)
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)
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}
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// Operation 2: Remove from metadata index
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@ -1975,6 +1971,42 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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return results
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}
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// Metadata-first optimization: pre-resolve filter IDs before vector search.
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// This enables HNSW to search only within matching candidates instead of
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// doing expensive post-filtering. Native HNSW uses searchWithCandidates (Rust
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// bitmap), JS HNSW converts to a Set-based filter function.
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let preResolvedMetadataIds: string[] | null = null
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let preResolvedFilter: any = null
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if (params.where || params.type || params.service || params.excludeVFS) {
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preResolvedFilter = {}
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if (params.where) Object.assign(preResolvedFilter, params.where)
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if (params.service) preResolvedFilter.service = params.service
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if (params.excludeVFS === true) {
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preResolvedFilter.vfsType = { exists: false }
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preResolvedFilter.isVFSEntity = { ne: true }
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}
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if (params.type) {
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const types = Array.isArray(params.type) ? params.type : [params.type]
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if (types.length === 1) {
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preResolvedFilter.noun = types[0]
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} else {
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preResolvedFilter = {
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anyOf: types.map(type => ({
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noun: type,
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...preResolvedFilter
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}))
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}
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}
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}
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preResolvedMetadataIds = await this.metadataIndex.getIdsForFilter(preResolvedFilter)
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// Short-circuit: if metadata filter matches nothing, skip expensive vector search
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if (preResolvedMetadataIds.length === 0) {
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return []
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}
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}
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// Zero-Config Hybrid Search
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// Determine search mode: auto (default) combines text + semantic for query searches
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const searchMode = params.searchMode || 'auto'
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@ -1986,14 +2018,14 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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}
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// Handle semantic-only query (user explicitly wants vector search)
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else if ((searchMode === 'semantic' || searchMode === 'vector') && (params.query || params.vector)) {
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results = await this.executeVectorSearch(params)
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results = await this.executeVectorSearch(params, preResolvedMetadataIds ?? undefined)
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}
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// Handle explicit hybrid or auto mode with query
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else if ((searchMode === 'auto' || searchMode === 'hybrid') && params.query && params.query.trim() !== '' && !params.vector) {
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// Zero-config hybrid: combine text + semantic search with RRF fusion
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const [textResults, semanticResults] = await Promise.all([
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this.executeTextSearch(params.query, limit * 2),
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this.executeVectorSearch(params)
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this.executeVectorSearch(params, preResolvedMetadataIds ?? undefined)
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])
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// Use user-specified alpha or auto-detect based on query length
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@ -2007,7 +2039,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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}
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// Handle direct vector search (no query text) - no hybrid needed
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else if (params.vector && !params.query) {
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results = await this.executeVectorSearch(params)
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results = await this.executeVectorSearch(params, preResolvedMetadataIds ?? undefined)
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}
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// Handle proximity search
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else if (params.near) {
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@ -2032,42 +2064,16 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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results = Array.from(uniqueResults.values())
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}
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// Apply O(log n) metadata filtering using core MetadataIndexManager
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if (params.where || params.type || params.service || params.excludeVFS) {
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// Build filter object for metadata index
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let filter: any = {}
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// Apply metadata filtering using pre-resolved IDs (metadata-first optimization).
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// When vector search was performed, HNSW already filtered by candidateIds —
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// this block handles pagination, entity loading, and metadata-only queries.
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if (preResolvedMetadataIds && preResolvedFilter) {
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const filteredIds = preResolvedMetadataIds
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// Base filter from where and service
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if (params.where) Object.assign(filter, params.where)
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if (params.service) filter.service = params.service
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// ExcludeVFS helper - exclude VFS infrastructure entities
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// VFS files/folders have vfsType set, extracted entities do NOT
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if (params.excludeVFS === true) {
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filter.vfsType = { exists: false }
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filter.isVFSEntity = { ne: true }
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}
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if (params.type) {
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const types = Array.isArray(params.type) ? params.type : [params.type]
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if (types.length === 1) {
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filter.noun = types[0]
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} else {
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// For multiple types, create separate filter for each type with all conditions
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filter = {
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anyOf: types.map(type => ({
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noun: type,
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...filter
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}))
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}
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}
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}
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const filteredIds = await this.metadataIndex.getIdsForFilter(filter)
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// CRITICAL FIX: Handle both cases properly
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if (results.length > 0) {
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// OPTIMIZED: Filter existing results (from vector search) efficiently
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// Filter results by pre-resolved metadata IDs.
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// With metadata-first HNSW, most results already match — this is a safety net
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// for text search results and proximity results that weren't pre-filtered.
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const filteredIdSet = new Set(filteredIds)
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results = results.filter((r) => filteredIdSet.has(r.id))
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@ -2120,7 +2126,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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// Apply sorting if requested for metadata-only queries
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if (params.orderBy) {
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const sortedIds = await this.metadataIndex.getSortedIdsForFilter(
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filter,
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preResolvedFilter,
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params.orderBy,
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params.order || 'asc'
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)
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@ -2529,21 +2535,10 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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const allVerbs = [...verbs, ...targetVerbs]
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// Add delete operations to transaction
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if (noun && metadata) {
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if (this.indexIsTypeAware && metadata.noun) {
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tx.addOperation(
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new RemoveFromTypeAwareHNSWOperation(
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this.index as any,
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id,
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noun.vector,
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metadata.noun as any
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)
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)
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} else {
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tx.addOperation(
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new RemoveFromHNSWOperation(this.index as any, id, noun.vector)
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)
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}
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if (noun) {
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tx.addOperation(
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new RemoveFromHNSWOperation(this.index as any, id, noun.vector)
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)
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}
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if (metadata) {
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@ -2948,9 +2943,8 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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// Create HNSW index (uses plugin factory when available)
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clone.index = this.createIndex()
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clone.indexIsTypeAware = this.indexIsTypeAware
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// Enable COW (handle both HNSWIndex and TypeAwareHNSWIndex)
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// Enable COW
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if ('enableCOW' in clone.index && typeof clone.index.enableCOW === 'function') {
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(clone.index as any).enableCOW(this.index)
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}
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@ -4188,7 +4182,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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* 1. Storage counts (entity/verb counts by type)
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* 2. Metadata index (field indexes + EntityIdMapper)
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* 3. Graph adjacency index (relationship cache)
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* 4. HNSW vector index (no flush needed - saves directly)
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* 4. HNSW vector index (deferred dirty nodes)
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*
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* @example
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* // Flush after bulk operations
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@ -4204,7 +4198,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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async flush(): Promise<void> {
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await this.ensureInitialized()
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console.log('🔄 Flushing Brainy indexes and caches to disk...')
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console.log('Flushing Brainy indexes and caches to disk...')
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const startTime = Date.now()
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@ -4220,24 +4214,20 @@ export class Brainy<T = any> implements BrainyInterface<T> {
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// 2. Flush metadata index (field indexes + EntityIdMapper)
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this.metadataIndex.flush(),
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// 3. Flush graph adjacency index (relationship cache)
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// Note: Graph structure is already persisted via storage.saveVerb() calls
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// This just flushes the in-memory cache for performance
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this.graphIndex.flush()
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// 3. Flush graph adjacency index (relationship cache + LSM trees)
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this.graphIndex.flush(),
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// Note: Write-through cache (storage.writeCache) is NOT cleared here
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// Cache persists indefinitely for read-after-write consistency
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// Provides safety net for:
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// - Cloud storage eventual consistency (S3, GCS, Azure, R2)
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// - Filesystem buffer cache timing
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// - Type cache warming period (nounTypeCache population)
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||||
// Cache entries are removed only when explicitly deleted (deleteObjectFromBranch)
|
||||
// Memory footprint is negligible for typical workloads (<10MB for 100k entities)
|
||||
// 4. Flush HNSW dirty nodes (deferred persistence mode)
|
||||
(async () => {
|
||||
if (this.index && typeof (this.index as any).flush === 'function') {
|
||||
await (this.index as any).flush()
|
||||
}
|
||||
})()
|
||||
])
|
||||
|
||||
const elapsed = Date.now() - startTime
|
||||
|
||||
console.log(`✅ All indexes flushed to disk in ${elapsed}ms`)
|
||||
console.log(`All indexes flushed to disk in ${elapsed}ms`)
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -5619,15 +5609,22 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
|
||||
/**
|
||||
* Execute vector search component
|
||||
*
|
||||
* @param params Find parameters
|
||||
* @param candidateIds Optional pre-resolved metadata filter IDs for metadata-first search.
|
||||
* When provided, HNSW search is restricted to these candidates:
|
||||
* - NativeHNSWWrapper: uses native searchWithCandidates (Rust bitmap filtering)
|
||||
* - JS HNSWIndex: converts to filter function with O(1) Set lookups
|
||||
*/
|
||||
private async executeVectorSearch(params: FindParams<T>): Promise<Result<T>[]> {
|
||||
private async executeVectorSearch(params: FindParams<T>, candidateIds?: string[]): Promise<Result<T>[]> {
|
||||
const vector = params.vector || (await this.embed(params.query!))
|
||||
const limit = params.limit || 10
|
||||
|
||||
// Pass type for type-aware indexes (10x faster for type-specific queries)
|
||||
const searchResults: [string, number][] = this.indexIsTypeAware && params.type
|
||||
? await (this.index as any).search(vector, limit * 2, params.type as any)
|
||||
: await this.index.search(vector, limit * 2)
|
||||
// Build search options for metadata-first candidate filtering
|
||||
const searchOptions = candidateIds ? { candidateIds } : undefined
|
||||
|
||||
// HNSW search with optional metadata-first candidate filtering
|
||||
const searchResults: [string, number][] = await this.index.search(vector, limit * 2, undefined, searchOptions)
|
||||
|
||||
// Batch-load entities for 10-50x faster cloud storage performance
|
||||
// GCS: 10 results = 1×50ms vs 10×50ms = 500ms (10x faster)
|
||||
|
|
@ -5655,10 +5652,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
const nearEntity = await this.get(params.near.id)
|
||||
if (!nearEntity) return []
|
||||
|
||||
// Pass type for type-aware indexes
|
||||
const nearResults: [string, number][] = this.indexIsTypeAware && params.type
|
||||
? await (this.index as any).search(nearEntity.vector, params.limit || 10, params.type as any)
|
||||
: await this.index.search(nearEntity.vector, params.limit || 10)
|
||||
const nearResults: [string, number][] = await this.index.search(nearEntity.vector, params.limit || 10)
|
||||
|
||||
// Filter by threshold first to minimize batch fetch
|
||||
const threshold = params.near.threshold || 0.7
|
||||
|
|
@ -6252,7 +6246,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
const storageConfig = (this.config.storage || {}) as Record<string, unknown>
|
||||
const storageType = (storageConfig.type as string) || 'auto'
|
||||
|
||||
// Check plugin-provided storage factories (e.g., 'mmap-filesystem' from cortex)
|
||||
// Check plugin-provided storage factories (e.g., 'filesystem' override from cortex)
|
||||
const pluginFactory = this.pluginRegistry.getStorageFactory(storageType)
|
||||
if (pluginFactory) {
|
||||
const adapter = await pluginFactory.create(storageConfig)
|
||||
|
|
@ -6290,18 +6284,13 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
}
|
||||
|
||||
/**
|
||||
* Setup index
|
||||
* Setup index — single unified HNSW graph.
|
||||
*
|
||||
* Phase 2: Uses TypeAwareHNSWIndex for billion-scale optimization
|
||||
* - 87% memory reduction through separate graphs per entity type
|
||||
* - 10x faster type-specific queries
|
||||
* - Automatic type routing
|
||||
*
|
||||
* Smart defaults for HNSW persistence mode
|
||||
* - Cloud storage (GCS/S3/R2/Azure): 'deferred' for 30-50× faster adds
|
||||
* Smart defaults for HNSW persistence mode:
|
||||
* - Cloud storage (GCS/S3/R2/Azure): 'deferred' for 30-50x faster adds
|
||||
* - Local storage (FileSystem/Memory/OPFS): 'immediate' (already fast)
|
||||
*/
|
||||
private setupIndex(): HNSWIndex | TypeAwareHNSWIndex {
|
||||
private setupIndex(): HNSWIndex {
|
||||
const indexConfig = {
|
||||
...this.config.index,
|
||||
distanceFunction: this.distance,
|
||||
|
|
@ -6316,24 +6305,18 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
|
||||
const persistMode = this.resolveHNSWPersistMode()
|
||||
|
||||
// Use TypeAwareHNSWIndex for non-memory storage (billion-scale optimization)
|
||||
const detectedStorageType = this.config.storage?.type || this.getStorageType()
|
||||
if (detectedStorageType !== 'memory') {
|
||||
return new TypeAwareHNSWIndex(indexConfig, this.distance, {
|
||||
storage: this.storage,
|
||||
useParallelization: true,
|
||||
persistMode
|
||||
})
|
||||
}
|
||||
|
||||
return new HNSWIndex(indexConfig as any, this.distance, { persistMode })
|
||||
return new HNSWIndex(indexConfig as any, this.distance, {
|
||||
storage: this.storage,
|
||||
useParallelization: true,
|
||||
persistMode
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* Create an HNSW index, using plugin factory when available.
|
||||
* Shared by init(), fork(), checkout(), and clear() to avoid duplication.
|
||||
*/
|
||||
private createIndex(): HNSWIndex | TypeAwareHNSWIndex {
|
||||
private createIndex(): HNSWIndex {
|
||||
const hnswFactory = this.pluginRegistry.getProvider<(config: any, distance: DistanceFunction, options: any) => any>('hnsw')
|
||||
if (hnswFactory) {
|
||||
const persistMode = this.resolveHNSWPersistMode()
|
||||
|
|
@ -6719,13 +6702,36 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
* This ensures deferred persistence mode data is saved
|
||||
*/
|
||||
async close(): Promise<void> {
|
||||
// Flush HNSW dirty nodes before closing
|
||||
// In deferred persistence mode, this persists all pending HNSW graph data
|
||||
if (this.index && typeof this.index.flush === 'function') {
|
||||
await this.index.flush()
|
||||
}
|
||||
// Flush ALL components before closing to prevent data loss
|
||||
// This is critical when cortex native providers buffer data in Rust memory
|
||||
await Promise.all([
|
||||
// Flush HNSW dirty nodes (deferred persistence mode)
|
||||
(async () => {
|
||||
if (this.index && typeof (this.index as any).flush === 'function') {
|
||||
await (this.index as any).flush()
|
||||
}
|
||||
})(),
|
||||
// Flush metadata index (field indexes + EntityIdMapper)
|
||||
(async () => {
|
||||
if (this.metadataIndex && typeof this.metadataIndex.flush === 'function') {
|
||||
await this.metadataIndex.flush()
|
||||
}
|
||||
})(),
|
||||
// Flush graph adjacency index (LSM trees)
|
||||
(async () => {
|
||||
if (this.graphIndex && typeof this.graphIndex.flush === 'function') {
|
||||
await this.graphIndex.flush()
|
||||
}
|
||||
})(),
|
||||
// Flush storage adapter counts
|
||||
(async () => {
|
||||
if (this.storage && typeof (this.storage as any).flushCounts === 'function') {
|
||||
await (this.storage as any).flushCounts()
|
||||
}
|
||||
})()
|
||||
])
|
||||
|
||||
// Deactivate plugins
|
||||
// Deactivate plugins (safe — all data flushed above)
|
||||
await this.pluginRegistry.deactivateAll()
|
||||
|
||||
// Restore console methods if silent mode was enabled
|
||||
|
|
|
|||
|
|
@ -14,9 +14,23 @@
|
|||
* - Footer: checksum, stats
|
||||
*/
|
||||
|
||||
import { encode, decode } from '@msgpack/msgpack'
|
||||
import { encode as defaultEncode, decode as defaultDecode } from '@msgpack/msgpack'
|
||||
import { BloomFilter, SerializedBloomFilter } from './BloomFilter.js'
|
||||
|
||||
// Swappable msgpack implementation — defaults to @msgpack/msgpack JS,
|
||||
// can be replaced with native msgpack (e.g., cortex's Rust-backed encoder)
|
||||
let _encode: (data: unknown) => Uint8Array = defaultEncode as (data: unknown) => Uint8Array
|
||||
let _decode: (data: Uint8Array) => unknown = defaultDecode as (data: Uint8Array) => unknown
|
||||
|
||||
/**
|
||||
* Replace the msgpack encode/decode implementation at runtime.
|
||||
* Called by brainy.ts when a cortex 'msgpack' provider is registered.
|
||||
*/
|
||||
export function setMsgpackImplementation(impl: { encode: (data: unknown) => Uint8Array, decode: (data: Uint8Array) => unknown }) {
|
||||
_encode = impl.encode
|
||||
_decode = impl.decode
|
||||
}
|
||||
|
||||
/**
|
||||
* Entry in the SSTable
|
||||
* Maps a source node to its target nodes
|
||||
|
|
@ -299,7 +313,7 @@ export class SSTable {
|
|||
checksum: this.calculateChecksum(this.entries)
|
||||
}
|
||||
|
||||
const serialized = encode(data)
|
||||
const serialized = _encode(data)
|
||||
|
||||
// Update size in metadata
|
||||
this.metadata.sizeBytes = serialized.length
|
||||
|
|
@ -331,7 +345,7 @@ export class SSTable {
|
|||
* @returns SSTable instance
|
||||
*/
|
||||
static deserialize(data: Uint8Array): SSTable {
|
||||
const decoded = decode(data) as SerializedSSTable
|
||||
const decoded = _decode(data) as SerializedSSTable
|
||||
|
||||
// Verify checksum
|
||||
const sstable = new SSTable(
|
||||
|
|
|
|||
|
|
@ -681,12 +681,18 @@ export class HNSWIndex {
|
|||
queryVector: Vector,
|
||||
k: number = 10,
|
||||
filter?: (id: string) => Promise<boolean>,
|
||||
options?: { rerank?: { multiplier: number } }
|
||||
options?: { rerank?: { multiplier: number }; candidateIds?: string[] }
|
||||
): Promise<Array<[string, number]>> {
|
||||
if (this.nouns.size === 0) {
|
||||
return []
|
||||
}
|
||||
|
||||
// Metadata-first: convert candidateIds to filter function if no explicit filter
|
||||
if (!filter && options?.candidateIds && options.candidateIds.length > 0) {
|
||||
const candidateSet = new Set(options.candidateIds)
|
||||
filter = async (id: string) => candidateSet.has(id)
|
||||
}
|
||||
|
||||
// Check if query vector is defined
|
||||
if (!queryVector) {
|
||||
throw new Error('Query vector is undefined or null')
|
||||
|
|
|
|||
|
|
@ -257,7 +257,7 @@ export class TypeAwareHNSWIndex {
|
|||
k: number = 10,
|
||||
type?: NounType | NounType[],
|
||||
filter?: (id: string) => Promise<boolean>,
|
||||
options?: { rerank?: { multiplier: number } }
|
||||
options?: { rerank?: { multiplier: number }; candidateIds?: string[] }
|
||||
): Promise<Array<[string, number]>> {
|
||||
// Single-type search (fast path)
|
||||
if (type && typeof type === 'string') {
|
||||
|
|
@ -288,7 +288,7 @@ export class TypeAwareHNSWIndex {
|
|||
k: number,
|
||||
types: NounType[],
|
||||
filter?: (id: string) => Promise<boolean>,
|
||||
options?: { rerank?: { multiplier: number } }
|
||||
options?: { rerank?: { multiplier: number }; candidateIds?: string[] }
|
||||
): Promise<Array<[string, number]>> {
|
||||
const allResults: Array<[string, number]> = []
|
||||
|
||||
|
|
@ -323,7 +323,7 @@ export class TypeAwareHNSWIndex {
|
|||
queryVector: Vector,
|
||||
k: number,
|
||||
filter?: (id: string) => Promise<boolean>,
|
||||
options?: { rerank?: { multiplier: number } }
|
||||
options?: { rerank?: { multiplier: number }; candidateIds?: string[] }
|
||||
): Promise<Array<[string, number]>> {
|
||||
const allResults: Array<[string, number]> = []
|
||||
|
||||
|
|
|
|||
|
|
@ -9,3 +9,5 @@ export { FieldTypeInference, FieldType } from './utils/fieldTypeInference.js'
|
|||
export type { FieldTypeInfo } from './utils/fieldTypeInference.js'
|
||||
export { EntityIdMapper } from './utils/entityIdMapper.js'
|
||||
export type { EntityIdMapperOptions, EntityIdMapperData } from './utils/entityIdMapper.js'
|
||||
export { getRecommendedCacheConfig, formatBytes, checkMemoryPressure } from './utils/memoryDetection.js'
|
||||
export type { MemoryInfo, CacheAllocationStrategy } from './utils/memoryDetection.js'
|
||||
|
|
|
|||
|
|
@ -2,8 +2,7 @@
|
|||
* Index Operations with Rollback Support
|
||||
*
|
||||
* Provides transactional operations for all indexes:
|
||||
* - TypeAwareHNSWIndex (per-type vector indexes)
|
||||
* - HNSWIndex (legacy/fallback vector index)
|
||||
* - HNSWIndex (unified vector index)
|
||||
* - MetadataIndexManager (roaring bitmap filtering)
|
||||
* - GraphAdjacencyIndex (LSM-tree graph storage)
|
||||
*
|
||||
|
|
@ -11,10 +10,8 @@
|
|||
*/
|
||||
|
||||
import type { HNSWIndex } from '../../hnsw/hnswIndex.js'
|
||||
import type { TypeAwareHNSWIndex } from '../../hnsw/typeAwareHNSWIndex.js'
|
||||
import type { MetadataIndexManager } from '../../utils/metadataIndex.js'
|
||||
import type { GraphAdjacencyIndex } from '../../graph/graphAdjacencyIndex.js'
|
||||
import type { NounType } from '../../types/graphTypes.js'
|
||||
import type { GraphVerb } from '../../coreTypes.js'
|
||||
import type { Operation, RollbackAction } from '../types.js'
|
||||
|
||||
|
|
@ -67,55 +64,6 @@ export class AddToHNSWOperation implements Operation {
|
|||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Add to TypeAwareHNSW index with rollback support
|
||||
*
|
||||
* Rollback strategy:
|
||||
* - Remove item from type-specific index
|
||||
*/
|
||||
export class AddToTypeAwareHNSWOperation implements Operation {
|
||||
readonly name = 'AddToTypeAwareHNSW'
|
||||
|
||||
constructor(
|
||||
private readonly index: TypeAwareHNSWIndex,
|
||||
private readonly id: string,
|
||||
private readonly vector: number[],
|
||||
private readonly nounType: NounType
|
||||
) {}
|
||||
|
||||
async execute(): Promise<RollbackAction> {
|
||||
// Check if item already exists
|
||||
const existed = await this.itemExists(this.id, this.nounType)
|
||||
|
||||
// Add to type-specific index
|
||||
await this.index.addItem({ id: this.id, vector: this.vector }, this.nounType)
|
||||
|
||||
// Return rollback action
|
||||
return async () => {
|
||||
if (!existed) {
|
||||
// Remove newly added item from type-specific index
|
||||
await this.index.removeItem(this.id, this.nounType)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if item exists in type-specific index
|
||||
*/
|
||||
private async itemExists(id: string, type: NounType): Promise<boolean> {
|
||||
try {
|
||||
const index = (this.index as any).getIndexForType?.(type)
|
||||
if (index) {
|
||||
await index.getItem?.(id)
|
||||
return true
|
||||
}
|
||||
return false
|
||||
} catch {
|
||||
return false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove from HNSW index with rollback support
|
||||
*
|
||||
|
|
@ -145,34 +93,6 @@ export class RemoveFromHNSWOperation implements Operation {
|
|||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove from TypeAwareHNSW index with rollback support
|
||||
*
|
||||
* Rollback strategy:
|
||||
* - Re-add item to type-specific index with original vector
|
||||
*/
|
||||
export class RemoveFromTypeAwareHNSWOperation implements Operation {
|
||||
readonly name = 'RemoveFromTypeAwareHNSW'
|
||||
|
||||
constructor(
|
||||
private readonly index: TypeAwareHNSWIndex,
|
||||
private readonly id: string,
|
||||
private readonly vector: number[], // Required for rollback
|
||||
private readonly nounType: NounType
|
||||
) {}
|
||||
|
||||
async execute(): Promise<RollbackAction> {
|
||||
// Remove from type-specific index
|
||||
await this.index.removeItem(this.id, this.nounType)
|
||||
|
||||
// Return rollback action
|
||||
return async () => {
|
||||
// Re-add item with original vector to type-specific index
|
||||
await this.index.addItem({ id: this.id, vector: this.vector }, this.nounType)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Add to metadata index with rollback support
|
||||
*
|
||||
|
|
|
|||
|
|
@ -22,9 +22,7 @@ export {
|
|||
// Index Operations
|
||||
export {
|
||||
AddToHNSWOperation,
|
||||
AddToTypeAwareHNSWOperation,
|
||||
RemoveFromHNSWOperation,
|
||||
RemoveFromTypeAwareHNSWOperation,
|
||||
AddToMetadataIndexOperation,
|
||||
RemoveFromMetadataIndexOperation,
|
||||
AddToGraphIndexOperation,
|
||||
|
|
|
|||
|
|
@ -14,7 +14,6 @@
|
|||
*/
|
||||
|
||||
import { HNSWIndex } from '../hnsw/hnswIndex.js'
|
||||
import { TypeAwareHNSWIndex } from '../hnsw/typeAwareHNSWIndex.js'
|
||||
import { MetadataIndexManager } from '../utils/metadataIndex.js'
|
||||
import { Vector } from '../coreTypes.js'
|
||||
import { NounType } from '../types/graphTypes.js'
|
||||
|
|
@ -231,7 +230,7 @@ class QueryPlanner {
|
|||
*/
|
||||
export class TripleIntelligenceSystem {
|
||||
private metadataIndex: MetadataIndexManager
|
||||
private hnswIndex: HNSWIndex | TypeAwareHNSWIndex
|
||||
private hnswIndex: HNSWIndex
|
||||
private graphIndex: GraphAdjacencyIndex
|
||||
private metrics: PerformanceMetrics
|
||||
private planner: QueryPlanner
|
||||
|
|
@ -240,7 +239,7 @@ export class TripleIntelligenceSystem {
|
|||
|
||||
constructor(
|
||||
metadataIndex: MetadataIndexManager,
|
||||
hnswIndex: HNSWIndex | TypeAwareHNSWIndex,
|
||||
hnswIndex: HNSWIndex,
|
||||
graphIndex: GraphAdjacencyIndex,
|
||||
embedder: (text: string) => Promise<Vector>,
|
||||
storage: any
|
||||
|
|
@ -318,10 +317,8 @@ export class TripleIntelligenceSystem {
|
|||
? await this.embedder(query)
|
||||
: query
|
||||
|
||||
// Phase 3: Pass types to TypeAwareHNSWIndex for optimized search
|
||||
const searchResults = this.hnswIndex instanceof TypeAwareHNSWIndex
|
||||
? await this.hnswIndex.search(vector, limit, types)
|
||||
: await this.hnswIndex.search(vector, limit)
|
||||
// Single unified HNSW search (type filtering handled by metadata-first optimization)
|
||||
const searchResults = await this.hnswIndex.search(vector, limit)
|
||||
|
||||
// Convert to result format
|
||||
const results: TripleResult[] = []
|
||||
|
|
|
|||
|
|
@ -150,6 +150,15 @@ export class EntityIdMapper {
|
|||
return this.uuidToInt.size
|
||||
}
|
||||
|
||||
/**
|
||||
* Get all mapped integer IDs without storage reads.
|
||||
* Used for bitmap negation operations (ne, exists:false, missing:true)
|
||||
* to avoid full-table getAllIds() scans.
|
||||
*/
|
||||
getAllIntIds(): number[] {
|
||||
return Array.from(this.intToUuid.keys())
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert array of UUIDs to array of integers
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -56,6 +56,10 @@ export interface MetadataIndexConfig {
|
|||
excludeFields?: string[] // Never index these fields
|
||||
}
|
||||
|
||||
export interface MetadataIndexOptions {
|
||||
entityIdMapper?: EntityIdMapper // Optional pre-configured EntityIdMapper (e.g., native from cortex)
|
||||
}
|
||||
|
||||
/**
|
||||
* Manages metadata indexes for fast filtering
|
||||
* Maintains inverted indexes: field+value -> list of IDs
|
||||
|
|
@ -143,7 +147,7 @@ export class MetadataIndexManager {
|
|||
// Replaces unreliable pattern matching with DuckDB-inspired value analysis
|
||||
private fieldTypeInference: FieldTypeInference
|
||||
|
||||
constructor(storage: StorageAdapter, config: MetadataIndexConfig = {}) {
|
||||
constructor(storage: StorageAdapter, config: MetadataIndexConfig = {}, options: MetadataIndexOptions = {}) {
|
||||
this.storage = storage
|
||||
this.config = {
|
||||
maxIndexSize: config.maxIndexSize ?? 10000,
|
||||
|
|
@ -185,8 +189,8 @@ export class MetadataIndexManager {
|
|||
// Get global unified cache for coordinated memory management
|
||||
this.unifiedCache = getGlobalCache()
|
||||
|
||||
// Initialize EntityIdMapper for roaring bitmap UUID ↔ integer mapping
|
||||
this.idMapper = new EntityIdMapper({
|
||||
// Use injected EntityIdMapper (e.g., native from cortex) or create JS fallback
|
||||
this.idMapper = options.entityIdMapper ?? new EntityIdMapper({
|
||||
storage,
|
||||
storageKey: 'brainy:entityIdMapper'
|
||||
})
|
||||
|
|
@ -1868,11 +1872,15 @@ export class MetadataIndexManager {
|
|||
|
||||
if (allIds.length === 0) return []
|
||||
if (allIds.length === 1) return allIds[0]
|
||||
|
||||
// Intersection of all sets
|
||||
return allIds.reduce((intersection, currentSet) =>
|
||||
intersection.filter(id => currentSet.includes(id))
|
||||
)
|
||||
|
||||
// Set-based intersection O(n) — start with smallest set for optimal perf
|
||||
const sorted = allIds.sort((a, b) => a.length - b.length)
|
||||
let result = new Set(sorted[0])
|
||||
for (let i = 1; i < sorted.length; i++) {
|
||||
const current = new Set(sorted[i])
|
||||
result = new Set([...result].filter(id => current.has(id)))
|
||||
}
|
||||
return Array.from(result)
|
||||
}
|
||||
|
||||
if (filter.anyOf && Array.isArray(filter.anyOf)) {
|
||||
|
|
@ -1930,21 +1938,22 @@ export class MetadataIndexManager {
|
|||
// Canonical: 'ne' | Alias: 'notEquals' | Deprecated: 'isNot'
|
||||
case 'isNot': // DEPRECATED: Use 'ne' instead
|
||||
case 'notEquals': // Alias for 'ne'
|
||||
case 'ne':
|
||||
case 'ne': {
|
||||
// For notEquals, we need all IDs EXCEPT those matching the value
|
||||
// This is especially important for soft delete: deleted !== true
|
||||
// should include items without a deleted field
|
||||
|
||||
// First, get all IDs in the database
|
||||
const allItemIds = await this.getAllIds()
|
||||
// Use EntityIdMapper universe (in-memory) instead of getAllIds() storage scan
|
||||
const allKnownIds = this.idMapper.intsIterableToUuids(this.idMapper.getAllIntIds())
|
||||
|
||||
// Then get IDs that match the value we want to exclude
|
||||
const excludeIds = await this.getIds(field, operand)
|
||||
const excludeSet = new Set(excludeIds)
|
||||
|
||||
// Return all IDs except those to exclude
|
||||
fieldResults = allItemIds.filter(id => !excludeSet.has(id))
|
||||
fieldResults = allKnownIds.filter(id => !excludeSet.has(id))
|
||||
break
|
||||
}
|
||||
|
||||
// ===== MULTI-VALUE OPERATORS =====
|
||||
// Canonical: 'in' | Alias: 'oneOf'
|
||||
|
|
@ -2034,8 +2043,7 @@ export class MetadataIndexManager {
|
|||
fieldResults = this.idMapper.intsIterableToUuids(allIntIds)
|
||||
} else {
|
||||
// exists: false - Get all IDs that DON'T have this field
|
||||
// Fixed excludeVFS bug (was returning empty array)
|
||||
const allItemIds = await this.getAllIds()
|
||||
// Uses EntityIdMapper universe (in-memory) instead of getAllIds() storage scan
|
||||
const existsIntIds = new Set<number>()
|
||||
|
||||
// Get IDs that HAVE this field
|
||||
|
|
@ -2053,10 +2061,11 @@ export class MetadataIndexManager {
|
|||
}
|
||||
}
|
||||
|
||||
// Convert to UUIDs and subtract from all IDs
|
||||
// Use EntityIdMapper universe and subtract IDs that have this field
|
||||
const allKnownIds = this.idMapper.intsIterableToUuids(this.idMapper.getAllIntIds())
|
||||
const existsUuids = this.idMapper.intsIterableToUuids(existsIntIds)
|
||||
const existsSet = new Set(existsUuids)
|
||||
fieldResults = allItemIds.filter(id => !existsSet.has(id))
|
||||
fieldResults = allKnownIds.filter(id => !existsSet.has(id))
|
||||
}
|
||||
break
|
||||
|
||||
|
|
@ -2068,7 +2077,7 @@ export class MetadataIndexManager {
|
|||
// Added for API consistency with in-memory metadataFilter
|
||||
if (operand) {
|
||||
// missing: true - field does NOT exist (same as exists: false)
|
||||
const allItemIds = await this.getAllIds()
|
||||
// Uses EntityIdMapper universe (in-memory) instead of getAllIds() storage scan
|
||||
const existsIntIds = new Set<number>()
|
||||
|
||||
const sparseIndex = await this.loadSparseIndex(field)
|
||||
|
|
@ -2085,9 +2094,11 @@ export class MetadataIndexManager {
|
|||
}
|
||||
}
|
||||
|
||||
// Use EntityIdMapper universe and subtract IDs that have this field
|
||||
const allKnownIds = this.idMapper.intsIterableToUuids(this.idMapper.getAllIntIds())
|
||||
const existsUuids = this.idMapper.intsIterableToUuids(existsIntIds)
|
||||
const existsSet = new Set(existsUuids)
|
||||
fieldResults = allItemIds.filter(id => !existsSet.has(id))
|
||||
fieldResults = allKnownIds.filter(id => !existsSet.has(id))
|
||||
} else {
|
||||
// missing: false - field DOES exist (same as exists: true)
|
||||
const allIntIds = new Set<number>()
|
||||
|
|
@ -2126,11 +2137,15 @@ export class MetadataIndexManager {
|
|||
|
||||
if (idSets.length === 0) return []
|
||||
if (idSets.length === 1) return idSets[0]
|
||||
|
||||
// Intersection of all field criteria (implicit AND)
|
||||
return idSets.reduce((intersection, currentSet) =>
|
||||
intersection.filter(id => currentSet.includes(id))
|
||||
)
|
||||
|
||||
// Set-based intersection O(n) — start with smallest set for optimal perf
|
||||
const sortedSets = idSets.sort((a, b) => a.length - b.length)
|
||||
let resultSet = new Set(sortedSets[0])
|
||||
for (let i = 1; i < sortedSets.length; i++) {
|
||||
const current = new Set(sortedSets[i])
|
||||
resultSet = new Set([...resultSet].filter(id => current.has(id)))
|
||||
}
|
||||
return Array.from(resultSet)
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -12,7 +12,7 @@
|
|||
*/
|
||||
|
||||
import {
|
||||
RoaringBitmap32,
|
||||
RoaringBitmap32 as WasmRoaringBitmap32,
|
||||
RoaringBitmap32Iterator,
|
||||
roaringLibraryInitialize,
|
||||
roaringLibraryIsReady,
|
||||
|
|
@ -24,9 +24,35 @@ import {
|
|||
// This ensures RoaringBitmap32 is ready to use immediately after import
|
||||
await roaringLibraryInitialize()
|
||||
|
||||
// Re-export all types and values
|
||||
// Swappable implementation — defaults to WASM, can be replaced with native CRoaring
|
||||
// Uses a wrapper class that delegates to the active implementation so that the exported
|
||||
// RoaringBitmap32 remains a class (usable as both value and type).
|
||||
let _impl: typeof WasmRoaringBitmap32 = WasmRoaringBitmap32
|
||||
|
||||
/**
|
||||
* Replace the RoaringBitmap32 implementation at runtime.
|
||||
* Called by brainy.ts when a cortex 'roaring' provider is registered.
|
||||
*/
|
||||
export function setRoaringImplementation(impl: typeof WasmRoaringBitmap32) {
|
||||
_impl = impl
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the current RoaringBitmap32 implementation (WASM or native).
|
||||
* Use this instead of direct `new RoaringBitmap32()` when constructing bitmaps
|
||||
* in hot paths that should benefit from native replacement.
|
||||
*/
|
||||
export function getRoaringBitmap32(): typeof WasmRoaringBitmap32 {
|
||||
return _impl
|
||||
}
|
||||
|
||||
// Re-export the original WASM class as RoaringBitmap32 for type compatibility
|
||||
// Consumers use this as both a type (Map<string, RoaringBitmap32>) and value (new RoaringBitmap32())
|
||||
// The WASM and native implementations are API-compatible
|
||||
export { WasmRoaringBitmap32 as RoaringBitmap32 }
|
||||
|
||||
// Re-export remaining types and values
|
||||
export {
|
||||
RoaringBitmap32,
|
||||
RoaringBitmap32Iterator,
|
||||
roaringLibraryInitialize,
|
||||
roaringLibraryIsReady,
|
||||
|
|
|
|||
|
|
@ -104,40 +104,6 @@ describe('brain.get() Metadata-Only Optimization (v5.11.1)', () => {
|
|||
})
|
||||
|
||||
describe('Performance Comparison', () => {
|
||||
// Performance test is flaky depending on system load - skip for CI
|
||||
it.skip('metadata-only should be 75%+ faster than full entity', async () => {
|
||||
// Warm up (populate caches)
|
||||
await brain.get(entityId)
|
||||
await brain.get(entityId, { includeVectors: true })
|
||||
|
||||
// Measure metadata-only performance
|
||||
const metadataIterations = 100
|
||||
const metadataStart = performance.now()
|
||||
for (let i = 0; i < metadataIterations; i++) {
|
||||
await brain.get(entityId)
|
||||
}
|
||||
const metadataTime = (performance.now() - metadataStart) / metadataIterations
|
||||
|
||||
// Measure full entity performance
|
||||
const fullIterations = 100
|
||||
const fullStart = performance.now()
|
||||
for (let i = 0; i < fullIterations; i++) {
|
||||
await brain.get(entityId, { includeVectors: true })
|
||||
}
|
||||
const fullTime = (performance.now() - fullStart) / fullIterations
|
||||
|
||||
// Calculate speedup
|
||||
const speedup = ((fullTime - metadataTime) / fullTime) * 100
|
||||
|
||||
// MemoryStorage is already very fast, so speedup is less dramatic than FileSystemStorage
|
||||
// FileSystemStorage: 76-81% speedup
|
||||
// MemoryStorage: 15-30% speedup (less overhead to save)
|
||||
expect(speedup).toBeGreaterThan(10)
|
||||
|
||||
// Log performance for manual verification
|
||||
console.log(`[Performance] Metadata-only: ${metadataTime.toFixed(2)}ms, Full: ${fullTime.toFixed(2)}ms, Speedup: ${speedup.toFixed(1)}%`)
|
||||
})
|
||||
|
||||
it('metadata-only should complete in <15ms (MemoryStorage)', async () => {
|
||||
// Warm up
|
||||
await brain.get(entityId)
|
||||
|
|
|
|||
|
|
@ -459,29 +459,8 @@ describe('Brainy.add()', () => {
|
|||
)
|
||||
})
|
||||
|
||||
it.skip('should handle batch adds efficiently', async () => {
|
||||
// NOTE: Flaky performance test - depends on system load
|
||||
// Arrange
|
||||
const count = 100
|
||||
const params = Array.from({ length: count }, (_, i) =>
|
||||
createAddParams({
|
||||
data: `Batch entity ${i}`,
|
||||
type: 'thing'
|
||||
})
|
||||
)
|
||||
|
||||
// Act
|
||||
const start = performance.now()
|
||||
const ids = await Promise.all(params.map(p => brain.add(p)))
|
||||
const duration = performance.now() - start
|
||||
|
||||
// Assert
|
||||
expect(ids).toHaveLength(count)
|
||||
const opsPerSecond = (count / duration) * 1000
|
||||
expect(opsPerSecond).toBeGreaterThan(100) // At least 100 ops/second
|
||||
})
|
||||
})
|
||||
|
||||
|
||||
describe('caching behavior', () => {
|
||||
it('should retrieve consistent entities', async () => {
|
||||
// Arrange (v5.1.0: use valid UUID format)
|
||||
|
|
|
|||
|
|
@ -36,83 +36,6 @@ describe('Brainy Batch Operations', () => {
|
|||
}
|
||||
})
|
||||
|
||||
// TODO: Investigate missing entities in batch operations - may be concurrency/timing issue
|
||||
it.skip('should handle large batches efficiently', async () => {
|
||||
const batchSize = 100
|
||||
const entities = Array.from({ length: batchSize }, (_, i) => ({
|
||||
data: `Entity ${i}`,
|
||||
type: NounType.Thing,
|
||||
metadata: { index: i, batch: true }
|
||||
}))
|
||||
|
||||
const startTime = Date.now()
|
||||
const result = await brain.addMany({ items: entities })
|
||||
const duration = Date.now() - startTime
|
||||
|
||||
expect(result.successful).toHaveLength(batchSize)
|
||||
expect(duration).toBeLessThan(10000) // 10 seconds for 100 embeddings is reasonable
|
||||
|
||||
// Verify a sample
|
||||
const sampleEntity = await brain.get(result.successful[50])
|
||||
expect(sampleEntity?.metadata?.index).toBe(50)
|
||||
})
|
||||
|
||||
it.skip('should handle mixed entity types', async () => {
|
||||
// NOTE: Test skipped - addMany order preservation is flaky (see d582069)
|
||||
const entities = [
|
||||
{ data: 'John Doe', type: NounType.Person, metadata: { role: 'developer' } },
|
||||
{ data: 'TechCorp', type: NounType.Organization, metadata: { industry: 'tech' } },
|
||||
{ data: 'San Francisco', type: NounType.Location, metadata: { country: 'USA' } },
|
||||
{ data: 'Project Alpha', type: NounType.Project, metadata: { status: 'active' } }
|
||||
]
|
||||
|
||||
const result = await brain.addMany({ items: entities })
|
||||
|
||||
expect(result.successful).toHaveLength(4)
|
||||
|
||||
// Verify different types were added correctly
|
||||
const person = await brain.get(result.successful[0])
|
||||
expect(person?.type).toBe(NounType.Person)
|
||||
|
||||
const org = await brain.get(result.successful[1])
|
||||
expect(org?.type).toBe(NounType.Organization)
|
||||
})
|
||||
|
||||
it.skip('should handle partial failures gracefully', async () => {
|
||||
// NOTE: Test is flaky - fails intermittently with empty data validation
|
||||
const entities = [
|
||||
{ data: 'Valid Entity 1', type: NounType.Thing },
|
||||
{ data: '', type: NounType.Thing }, // Invalid - empty data
|
||||
{ data: 'Valid Entity 2', type: NounType.Thing }
|
||||
]
|
||||
|
||||
try {
|
||||
const result = await brain.addMany({ items: entities })
|
||||
// Some implementations might skip invalid entries
|
||||
expect(result.successful.length).toBeLessThanOrEqual(3)
|
||||
} catch (error) {
|
||||
// Or might throw an error
|
||||
expect(error).toBeDefined()
|
||||
}
|
||||
})
|
||||
|
||||
it.skip('should maintain order of additions', async () => {
|
||||
// NOTE: Test skipped - addMany order preservation is flaky (see d582069)
|
||||
const entities = Array.from({ length: 10 }, (_, i) => ({
|
||||
data: `Ordered Entity ${i}`,
|
||||
type: NounType.Thing,
|
||||
metadata: { order: i }
|
||||
}))
|
||||
|
||||
const result = await brain.addMany({ items: entities })
|
||||
|
||||
// Verify order is maintained
|
||||
for (let i = 0; i < result.successful.length; i++) {
|
||||
const entity = await brain.get(result.successful[i])
|
||||
expect(entity?.metadata?.order).toBe(i)
|
||||
}
|
||||
})
|
||||
|
||||
it('should generate embeddings for all entities', async () => {
|
||||
const entities = [
|
||||
{ data: 'Machine learning is fascinating', type: NounType.Concept },
|
||||
|
|
@ -325,25 +248,6 @@ describe('Brainy Batch Operations', () => {
|
|||
expect(sample).toBeNull()
|
||||
})
|
||||
|
||||
// TODO: Investigate deleteMany not actually deleting entities - may be cache/consistency issue
|
||||
it.skip('should ignore non-existent IDs', async () => {
|
||||
const mixedIds = [
|
||||
testIds[0],
|
||||
'non-existent-1',
|
||||
testIds[1],
|
||||
'non-existent-2'
|
||||
]
|
||||
|
||||
// Should not throw
|
||||
await brain.deleteMany({ ids: mixedIds })
|
||||
|
||||
// Valid ones should be deleted
|
||||
expect(await brain.get(testIds[0])).toBeNull()
|
||||
expect(await brain.get(testIds[1])).toBeNull()
|
||||
|
||||
// Others should still exist
|
||||
expect(await brain.get(testIds[2])).toBeDefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe('relateMany - Batch Relationship Creation', () => {
|
||||
|
|
|
|||
|
|
@ -1,359 +0,0 @@
|
|||
import { describe, it, expect, beforeAll } from 'vitest'
|
||||
import { Brainy } from '../../../src/brainy'
|
||||
import { createAddParams } from '../../helpers/test-factory'
|
||||
|
||||
// v4.11.2: SKIPPED - brain.init() takes >60s causing timeout
|
||||
// This is a pre-existing performance issue (also failed in v4.11.0)
|
||||
// TODO: Investigate why Brainy initialization is so slow in this test context
|
||||
describe.skip('Brainy.delete()', () => {
|
||||
let brain: Brainy<any>
|
||||
|
||||
// v4.11.2: Use shared brain instance to prevent memory errors
|
||||
// Creating new instance per test consumes too much memory (OOM errors)
|
||||
beforeAll(async () => {
|
||||
brain = new Brainy()
|
||||
await brain.init()
|
||||
}, 60000) // Increase timeout for initial setup
|
||||
|
||||
describe('success paths', () => {
|
||||
it('should delete an existing entity', async () => {
|
||||
// Arrange
|
||||
const id = await brain.add(createAddParams({
|
||||
data: 'Test entity',
|
||||
type: 'thing',
|
||||
metadata: { test: true }
|
||||
}))
|
||||
|
||||
// Verify it exists
|
||||
const before = await brain.get(id)
|
||||
expect(before).not.toBeNull()
|
||||
|
||||
// Act
|
||||
await brain.delete(id)
|
||||
|
||||
// Assert
|
||||
const after = await brain.get(id)
|
||||
expect(after).toBeNull()
|
||||
})
|
||||
|
||||
it('should delete entity with relationships', async () => {
|
||||
// TODO: Fix relationship cleanup - verbs are being found after deletion
|
||||
// Possible causes: storage cache, metadata index, or graph index not updating
|
||||
// Arrange - Create entities and relationships
|
||||
const entity1 = await brain.add(createAddParams({ data: 'Entity 1' }))
|
||||
const entity2 = await brain.add(createAddParams({ data: 'Entity 2' }))
|
||||
const entity3 = await brain.add(createAddParams({ data: 'Entity 3' }))
|
||||
|
||||
await brain.relate({
|
||||
from: entity1,
|
||||
to: entity2,
|
||||
type: 'relatedTo'
|
||||
})
|
||||
|
||||
await brain.relate({
|
||||
from: entity1,
|
||||
to: entity3,
|
||||
type: 'creates'
|
||||
})
|
||||
|
||||
await brain.relate({
|
||||
from: entity2,
|
||||
to: entity1,
|
||||
type: 'references'
|
||||
})
|
||||
|
||||
// Act - Delete entity1
|
||||
await brain.delete(entity1)
|
||||
|
||||
// Assert - Entity should be gone
|
||||
const deleted = await brain.get(entity1)
|
||||
expect(deleted).toBeNull()
|
||||
|
||||
// Entity2 and entity3 should still exist
|
||||
const e2 = await brain.get(entity2)
|
||||
const e3 = await brain.get(entity3)
|
||||
expect(e2).not.toBeNull()
|
||||
expect(e3).not.toBeNull()
|
||||
|
||||
// Relationships involving entity1 should be removed
|
||||
const fromEntity1 = await brain.getRelations({ from: entity1 })
|
||||
const toEntity1 = await brain.getRelations({ to: entity1 })
|
||||
expect(fromEntity1).toHaveLength(0)
|
||||
expect(toEntity1).toHaveLength(0)
|
||||
|
||||
// Other relationships should remain
|
||||
const fromEntity2 = await brain.getRelations({ from: entity2 })
|
||||
expect(fromEntity2.some(r => r.to === entity1)).toBe(false)
|
||||
})
|
||||
|
||||
it.skip('should delete entity and clean up index', async () => {
|
||||
// Arrange
|
||||
const id = await brain.add(createAddParams({
|
||||
data: 'Searchable entity',
|
||||
metadata: { searchable: true }
|
||||
}))
|
||||
|
||||
// Verify it's searchable
|
||||
const beforeResults = await brain.find({
|
||||
query: 'Searchable entity',
|
||||
limit: 10
|
||||
})
|
||||
expect(beforeResults.some(r => r.entity.id === id)).toBe(true)
|
||||
|
||||
// Act
|
||||
await brain.delete(id)
|
||||
|
||||
// Assert - Should not be in search results
|
||||
const afterResults = await brain.find({
|
||||
query: 'Searchable entity',
|
||||
limit: 10
|
||||
})
|
||||
expect(afterResults.some(r => r.entity.id === id)).toBe(false)
|
||||
})
|
||||
|
||||
it('should handle deleting multiple entities', async () => {
|
||||
// Arrange
|
||||
const ids = await Promise.all([
|
||||
brain.add(createAddParams({ data: 'Entity 1' })),
|
||||
brain.add(createAddParams({ data: 'Entity 2' })),
|
||||
brain.add(createAddParams({ data: 'Entity 3' }))
|
||||
])
|
||||
|
||||
// Act - Delete all
|
||||
await Promise.all(ids.map(id => brain.delete(id)))
|
||||
|
||||
// Assert - All should be gone
|
||||
const results = await Promise.all(ids.map(id => brain.get(id)))
|
||||
expect(results.every(r => r === null)).toBe(true)
|
||||
})
|
||||
|
||||
it('should handle deleting entity with bidirectional relationships', async () => {
|
||||
// Arrange
|
||||
const entity1 = await brain.add(createAddParams({ data: 'Entity 1' }))
|
||||
const entity2 = await brain.add(createAddParams({ data: 'Entity 2' }))
|
||||
|
||||
await brain.relate({
|
||||
from: entity1,
|
||||
to: entity2,
|
||||
type: 'friendOf',
|
||||
bidirectional: true
|
||||
})
|
||||
|
||||
// Verify both directions exist
|
||||
const before1 = await brain.getRelations({ from: entity1 })
|
||||
const before2 = await brain.getRelations({ from: entity2 })
|
||||
expect(before1.some(r => r.to === entity2)).toBe(true)
|
||||
expect(before2.some(r => r.to === entity1)).toBe(true)
|
||||
|
||||
// Act
|
||||
await brain.delete(entity1)
|
||||
|
||||
// Assert - All relationships should be cleaned up
|
||||
const after1 = await brain.getRelations({ from: entity1 })
|
||||
const after2 = await brain.getRelations({ from: entity2 })
|
||||
expect(after1).toHaveLength(0)
|
||||
expect(after2.some(r => r.to === entity1)).toBe(false)
|
||||
})
|
||||
})
|
||||
|
||||
describe('error paths', () => {
|
||||
it('should handle deleting non-existent entity', async () => {
|
||||
// Act - Delete non-existent entity (should not throw)
|
||||
const nonExistentId = 'fake-id-123'
|
||||
|
||||
// Should complete without error
|
||||
await expect(brain.delete(nonExistentId)).resolves.not.toThrow()
|
||||
})
|
||||
|
||||
it('should handle invalid ID format', async () => {
|
||||
// Act & Assert
|
||||
await expect(brain.delete('')).resolves.not.toThrow()
|
||||
await expect(brain.delete(null as any)).resolves.not.toThrow()
|
||||
await expect(brain.delete(undefined as any)).resolves.not.toThrow()
|
||||
})
|
||||
|
||||
it('should handle double deletion', async () => {
|
||||
// Arrange
|
||||
const id = await brain.add(createAddParams({ data: 'Test' }))
|
||||
|
||||
// Act - Delete twice
|
||||
await brain.delete(id)
|
||||
await brain.delete(id) // Should not throw
|
||||
|
||||
// Assert
|
||||
const result = await brain.get(id)
|
||||
expect(result).toBeNull()
|
||||
})
|
||||
})
|
||||
|
||||
describe('edge cases', () => {
|
||||
it('should handle deletion with circular relationships', async () => {
|
||||
// TODO: Fix relationship cleanup - related to same issue as above
|
||||
// Arrange - Create circular relationship
|
||||
const entity1 = await brain.add(createAddParams({ data: 'Entity 1' }))
|
||||
const entity2 = await brain.add(createAddParams({ data: 'Entity 2' }))
|
||||
const entity3 = await brain.add(createAddParams({ data: 'Entity 3' }))
|
||||
|
||||
await brain.relate({ from: entity1, to: entity2, type: 'relatedTo' })
|
||||
await brain.relate({ from: entity2, to: entity3, type: 'relatedTo' })
|
||||
await brain.relate({ from: entity3, to: entity1, type: 'relatedTo' })
|
||||
|
||||
// Act
|
||||
await brain.delete(entity2)
|
||||
|
||||
// Assert - Entity2 gone, others remain
|
||||
expect(await brain.get(entity2)).toBeNull()
|
||||
expect(await brain.get(entity1)).not.toBeNull()
|
||||
expect(await brain.get(entity3)).not.toBeNull()
|
||||
|
||||
// Relationships involving entity2 should be gone
|
||||
const relations1 = await brain.getRelations({ from: entity1 })
|
||||
const relations3 = await brain.getRelations({ from: entity3 })
|
||||
expect(relations1.some(r => r.to === entity2)).toBe(false)
|
||||
expect(relations3.some(r => r.to === entity2)).toBe(false)
|
||||
})
|
||||
|
||||
it('should handle concurrent deletions', async () => {
|
||||
// Arrange
|
||||
const ids = await Promise.all(
|
||||
Array.from({ length: 10 }, (_, i) =>
|
||||
brain.add(createAddParams({ data: `Entity ${i}` }))
|
||||
)
|
||||
)
|
||||
|
||||
// Act - Delete concurrently
|
||||
await Promise.all(ids.map(id => brain.delete(id)))
|
||||
|
||||
// Assert - All should be deleted
|
||||
const results = await Promise.all(ids.map(id => brain.get(id)))
|
||||
expect(results.every(r => r === null)).toBe(true)
|
||||
})
|
||||
|
||||
it('should maintain data integrity after deletion', async () => {
|
||||
// Arrange
|
||||
const keepId = await brain.add(createAddParams({
|
||||
data: 'Keep this',
|
||||
metadata: { important: true }
|
||||
}))
|
||||
|
||||
const deleteIds = await Promise.all([
|
||||
brain.add(createAddParams({ data: 'Delete 1' })),
|
||||
brain.add(createAddParams({ data: 'Delete 2' })),
|
||||
brain.add(createAddParams({ data: 'Delete 3' }))
|
||||
])
|
||||
|
||||
// Create relationships
|
||||
for (const deleteId of deleteIds) {
|
||||
await brain.relate({
|
||||
from: keepId,
|
||||
to: deleteId,
|
||||
type: 'relatedTo'
|
||||
})
|
||||
}
|
||||
|
||||
// Act - Delete some entities
|
||||
await Promise.all(deleteIds.map(id => brain.delete(id)))
|
||||
|
||||
// Assert - Kept entity should be intact
|
||||
const kept = await brain.get(keepId)
|
||||
expect(kept).not.toBeNull()
|
||||
expect(kept!.metadata.important).toBe(true)
|
||||
|
||||
// Relations to deleted entities should be gone
|
||||
const relations = await brain.getRelations({ from: keepId })
|
||||
expect(relations).toHaveLength(0)
|
||||
})
|
||||
})
|
||||
|
||||
describe('performance', () => {
|
||||
it('should delete entities quickly', async () => {
|
||||
// Arrange
|
||||
const id = await brain.add(createAddParams({ data: 'Fast delete' }))
|
||||
|
||||
// Act & Assert
|
||||
const start = Date.now()
|
||||
await brain.delete(id)
|
||||
const duration = Date.now() - start
|
||||
|
||||
expect(duration).toBeLessThan(50) // Should be very fast
|
||||
})
|
||||
|
||||
it('should handle batch deletion efficiently', async () => {
|
||||
// Arrange - Create many entities
|
||||
const ids = await Promise.all(
|
||||
Array.from({ length: 100 }, (_, i) =>
|
||||
brain.add(createAddParams({ data: `Entity ${i}` }))
|
||||
)
|
||||
)
|
||||
|
||||
// Act
|
||||
const start = Date.now()
|
||||
await Promise.all(ids.map(id => brain.delete(id)))
|
||||
const duration = Date.now() - start
|
||||
|
||||
// Assert
|
||||
// Note: After fixing the relationship cleanup bug, deletes are slightly slower
|
||||
// because we now properly fetch ALL relationships (not just first 100)
|
||||
expect(duration).toBeLessThan(2000) // Should handle 100 deletes in under 2s
|
||||
|
||||
// Verify all deleted
|
||||
const results = await Promise.all(ids.map(id => brain.get(id)))
|
||||
expect(results.every(r => r === null)).toBe(true)
|
||||
})
|
||||
})
|
||||
|
||||
describe('consistency', () => {
|
||||
it.skip('should properly invalidate cache after deletion', async () => {
|
||||
// NOTE: Test skipped - flaky search timing issue (see commits 8476047, c64967d)
|
||||
// Arrange
|
||||
const id = await brain.add(createAddParams({
|
||||
data: 'Cached entity',
|
||||
metadata: { cached: true }
|
||||
}))
|
||||
|
||||
// Do a search to potentially cache results
|
||||
const before = await brain.find({ query: 'Cached entity' })
|
||||
expect(before.some(r => r.entity.id === id)).toBe(true)
|
||||
|
||||
// Act
|
||||
await brain.delete(id)
|
||||
|
||||
// Assert - Cache should be invalidated
|
||||
const after = await brain.find({ query: 'Cached entity' })
|
||||
expect(after.some(r => r.entity.id === id)).toBe(false)
|
||||
})
|
||||
|
||||
it('should maintain consistency across operations', async () => {
|
||||
// Arrange
|
||||
const entity1 = await brain.add(createAddParams({ data: 'Entity 1' }))
|
||||
const entity2 = await brain.add(createAddParams({ data: 'Entity 2' }))
|
||||
|
||||
await brain.relate({
|
||||
from: entity1,
|
||||
to: entity2,
|
||||
type: 'relatedTo'
|
||||
})
|
||||
|
||||
// Act - Update entity1, delete entity2
|
||||
await brain.update({
|
||||
id: entity1,
|
||||
metadata: { updated: true },
|
||||
merge: true
|
||||
})
|
||||
|
||||
await brain.delete(entity2)
|
||||
|
||||
// Assert
|
||||
const e1 = await brain.get(entity1)
|
||||
expect(e1).not.toBeNull()
|
||||
expect(e1!.metadata.updated).toBe(true)
|
||||
|
||||
const e2 = await brain.get(entity2)
|
||||
expect(e2).toBeNull()
|
||||
|
||||
// Relations should be cleaned up
|
||||
const relations = await brain.getRelations({ from: entity1 })
|
||||
expect(relations.some(r => r.to === entity2)).toBe(false)
|
||||
})
|
||||
})
|
||||
})
|
||||
|
|
@ -296,27 +296,8 @@ describe('Brainy.relate()', () => {
|
|||
expect(relation!.metadata || {}).toMatchObject(specialMetadata)
|
||||
})
|
||||
|
||||
it.skip('should handle concurrent relationship creation', async () => {
|
||||
// NOTE: Test skipped - flaky due to race condition in duplicate detection (expected 10, got 9)
|
||||
// Act - Create 10 relationships concurrently
|
||||
const promises = Array.from({ length: 10 }, (_, i) =>
|
||||
brain.relate({
|
||||
from: entity1Id,
|
||||
to: entity2Id,
|
||||
type: 'relatedTo',
|
||||
metadata: { index: i }
|
||||
})
|
||||
)
|
||||
|
||||
await Promise.all(promises)
|
||||
|
||||
// Assert
|
||||
const relations = await brain.getRelations({ from: entity1Id })
|
||||
const toEntity2 = relations.filter(r => r.to === entity2Id)
|
||||
expect(toEntity2.length).toBe(10)
|
||||
})
|
||||
})
|
||||
|
||||
|
||||
describe('performance', () => {
|
||||
it('should create relationships quickly', async () => {
|
||||
// Act & Assert
|
||||
|
|
|
|||
|
|
@ -78,75 +78,4 @@ New York,location`
|
|||
console.log('\n✅ Graph entities created by default!')
|
||||
})
|
||||
|
||||
// TODO: Investigate "Source entity not found" error in VFS mkdir - likely cache/timing issue
|
||||
it.skip('should NOT create graph entities when createEntities is explicitly false', async () => {
|
||||
// Create a minimal CSV to import
|
||||
const csvContent = `Name,Type
|
||||
Alice,person
|
||||
Bob,person`
|
||||
|
||||
const csvPath = path.join(testDir, 'test2.csv')
|
||||
fs.mkdirSync(testDir, { recursive: true })
|
||||
fs.writeFileSync(csvPath, csvContent)
|
||||
|
||||
// Import WITH createEntities: false
|
||||
const result = await brain.import(csvPath, {
|
||||
vfsPath: '/imports/test2',
|
||||
groupBy: 'flat',
|
||||
createEntities: false // Explicitly disable
|
||||
})
|
||||
|
||||
console.log('\n📊 Import Result (createEntities: false):')
|
||||
console.log(` Entities created: ${result.stats.graphNodesCreated}`)
|
||||
console.log(` VFS files created: ${result.stats.vfsFilesCreated}`)
|
||||
|
||||
// Verify NO graph entities were created
|
||||
expect(result.stats.graphNodesCreated).toBe(0)
|
||||
|
||||
// Verify VFS files were still created
|
||||
expect(result.stats.vfsFilesCreated).toBeGreaterThan(0)
|
||||
|
||||
// Verify type filtering returns 0 (no graph entities)
|
||||
const people = await brain.find({ type: NounType.Person, limit: 10 })
|
||||
console.log(`\n🔍 Type Filtering:`)
|
||||
console.log(` Person filter: ${people.length}`)
|
||||
|
||||
expect(people.length).toBe(0)
|
||||
|
||||
console.log('\n✅ Graph entities NOT created when explicitly disabled!')
|
||||
})
|
||||
|
||||
// TODO: Investigate "Source entity not found" error in VFS mkdir - likely cache/timing issue
|
||||
it.skip('should create graph entities when createEntities is explicitly true', async () => {
|
||||
// Create a minimal CSV to import
|
||||
const csvContent = `Name,Type
|
||||
Charlie,person`
|
||||
|
||||
const csvPath = path.join(testDir, 'test3.csv')
|
||||
fs.mkdirSync(testDir, { recursive: true })
|
||||
fs.writeFileSync(csvPath, csvContent)
|
||||
|
||||
// Import WITH createEntities: true
|
||||
const result = await brain.import(csvPath, {
|
||||
vfsPath: '/imports/test3',
|
||||
groupBy: 'flat',
|
||||
createEntities: true // Explicitly enable
|
||||
})
|
||||
|
||||
console.log('\n📊 Import Result (createEntities: true):')
|
||||
console.log(` Entities created: ${result.stats.graphNodesCreated}`)
|
||||
console.log(` VFS files created: ${result.stats.vfsFilesCreated}`)
|
||||
|
||||
// Verify graph entities were created
|
||||
expect(result.stats.graphNodesCreated).toBeGreaterThan(0)
|
||||
|
||||
// Verify type filtering works
|
||||
const people = await brain.find({ type: NounType.Person, limit: 10 })
|
||||
console.log(`\n🔍 Type Filtering:`)
|
||||
console.log(` Person filter: ${people.length}`)
|
||||
|
||||
expect(people.length).toBeGreaterThan(0)
|
||||
|
||||
console.log('\n✅ Graph entities created when explicitly enabled!')
|
||||
})
|
||||
})
|
||||
|
|
|
|||
|
|
@ -88,7 +88,7 @@ describe('Lazy Vector Loading (B2)', () => {
|
|||
})
|
||||
|
||||
it('should return correct top-k results in lazy mode', async () => {
|
||||
for (let i = 0; i < 30; i++) {
|
||||
for (let i = 0; i < 50; i++) {
|
||||
const id = uuidv4()
|
||||
const v = randomVector(dim)
|
||||
await saveVector(storage, id, v)
|
||||
|
|
|
|||
|
|
@ -111,31 +111,4 @@ describe('Import preserveSource Fix (v5.1.2)', () => {
|
|||
fs.unlinkSync(jsonFilePath)
|
||||
})
|
||||
|
||||
it.skip('should work with large text files', async () => {
|
||||
// Create a large CSV (above inline threshold of 100KB)
|
||||
const rows = []
|
||||
for (let i = 0; i < 5000; i++) {
|
||||
rows.push(`row${i},value${i},data${i}`)
|
||||
}
|
||||
const largeCsvContent = 'col1,col2,col3\n' + rows.join('\n')
|
||||
|
||||
const largeFilePath = path.join(tempDir, 'large.csv')
|
||||
fs.writeFileSync(largeFilePath, largeCsvContent)
|
||||
|
||||
// Import large file
|
||||
await brain.import(largeFilePath, {
|
||||
format: 'csv',
|
||||
vfsPath: '/large-file',
|
||||
preserveSource: true,
|
||||
enableNeuralExtraction: false,
|
||||
createEntities: true
|
||||
})
|
||||
|
||||
// Verify file was preserved
|
||||
const content = await brain.vfs.readFile('/large-file/_source.csv')
|
||||
expect(content.toString('utf-8')).toBe(largeCsvContent)
|
||||
|
||||
// Cleanup
|
||||
fs.unlinkSync(largeFilePath)
|
||||
})
|
||||
})
|
||||
|
|
|
|||
|
|
@ -21,165 +21,7 @@ describe('Domain and Time Clustering', () => {
|
|||
await brain.init()
|
||||
})
|
||||
|
||||
describe('clusterByDomain() - Field-based clustering', () => {
|
||||
it.skip('should cluster entities by type field', async () => {
|
||||
// Add entities of different types
|
||||
await brain.add(createAddParams({
|
||||
data: 'John Smith is a person',
|
||||
type: NounType.Person
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Jane Doe is also a person',
|
||||
type: NounType.Person
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Technical document about AI',
|
||||
type: NounType.Document
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Research paper on machine learning',
|
||||
type: NounType.Document
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Microsoft Corporation',
|
||||
type: NounType.Organization
|
||||
}))
|
||||
|
||||
// Cluster by type field
|
||||
const clusters = await brain.neural().clusterByDomain('type', {
|
||||
minClusterSize: 1,
|
||||
maxClusters: 10
|
||||
})
|
||||
|
||||
// Should have clusters for each type
|
||||
expect(Array.isArray(clusters)).toBe(true)
|
||||
expect(clusters.length).toBeGreaterThan(0)
|
||||
|
||||
// Verify domain values exist
|
||||
const domains = new Set(clusters.map(c => c.domain))
|
||||
expect(domains.has(NounType.Person) || domains.has('person')).toBe(true)
|
||||
expect(domains.has(NounType.Document) || domains.has('document')).toBe(true)
|
||||
})
|
||||
|
||||
it.skip('should cluster entities by metadata field', async () => {
|
||||
// Add entities with category metadata
|
||||
await brain.add(createAddParams({
|
||||
data: 'JavaScript programming guide',
|
||||
type: NounType.Document,
|
||||
metadata: { category: 'programming' }
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Python tutorial',
|
||||
type: NounType.Document,
|
||||
metadata: { category: 'programming' }
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Chocolate cake recipe',
|
||||
type: NounType.Document,
|
||||
metadata: { category: 'cooking' }
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Pasta preparation',
|
||||
type: NounType.Document,
|
||||
metadata: { category: 'cooking' }
|
||||
}))
|
||||
|
||||
// Cluster by category field
|
||||
const clusters = await brain.neural().clusterByDomain('category', {
|
||||
minClusterSize: 1,
|
||||
maxClusters: 5
|
||||
})
|
||||
|
||||
expect(Array.isArray(clusters)).toBe(true)
|
||||
expect(clusters.length).toBeGreaterThan(0)
|
||||
|
||||
// Verify categories are in domains
|
||||
const domains = new Set(clusters.map(c => c.domain))
|
||||
expect(domains.has('programming')).toBe(true)
|
||||
expect(domains.has('cooking')).toBe(true)
|
||||
})
|
||||
|
||||
it.skip('should handle entities without the specified field', async () => {
|
||||
// Add entities with and without category
|
||||
await brain.add(createAddParams({
|
||||
data: 'Has category',
|
||||
metadata: { category: 'tech' }
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'No category'
|
||||
}))
|
||||
|
||||
const clusters = await brain.neural().clusterByDomain('category', {
|
||||
minClusterSize: 1
|
||||
})
|
||||
|
||||
expect(Array.isArray(clusters)).toBe(true)
|
||||
|
||||
// Should have 'tech' and 'unknown' domains
|
||||
const domains = new Set(clusters.map(c => c.domain))
|
||||
expect(domains.has('tech')).toBe(true)
|
||||
expect(domains.has('unknown')).toBe(true)
|
||||
})
|
||||
})
|
||||
|
||||
describe('clusterByTime() - Temporal clustering', () => {
|
||||
it.skip('should cluster entities by time windows', async () => {
|
||||
const now = new Date()
|
||||
const oneDayAgo = new Date(now.getTime() - 24 * 60 * 60 * 1000)
|
||||
const oneWeekAgo = new Date(now.getTime() - 7 * 24 * 60 * 60 * 1000)
|
||||
const oneMonthAgo = new Date(now.getTime() - 30 * 24 * 60 * 60 * 1000)
|
||||
|
||||
// Add entities with different timestamps
|
||||
await brain.add(createAddParams({
|
||||
data: 'Recent item 1',
|
||||
metadata: { publishedAt: now.toISOString() }
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Recent item 2',
|
||||
metadata: { publishedAt: oneDayAgo.toISOString() }
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Old item 1',
|
||||
metadata: { publishedAt: oneWeekAgo.toISOString() }
|
||||
}))
|
||||
await brain.add(createAddParams({
|
||||
data: 'Very old item',
|
||||
metadata: { publishedAt: oneMonthAgo.toISOString() }
|
||||
}))
|
||||
|
||||
// Define time windows
|
||||
const timeWindows = [
|
||||
{
|
||||
start: new Date(now.getTime() - 2 * 24 * 60 * 60 * 1000), // Last 2 days
|
||||
end: now,
|
||||
label: 'Recent'
|
||||
},
|
||||
{
|
||||
start: new Date(now.getTime() - 14 * 24 * 60 * 60 * 1000), // 2-14 days ago
|
||||
end: new Date(now.getTime() - 2 * 24 * 60 * 60 * 1000),
|
||||
label: 'This Week'
|
||||
},
|
||||
{
|
||||
start: new Date(now.getTime() - 60 * 24 * 60 * 60 * 1000), // 14-60 days ago
|
||||
end: new Date(now.getTime() - 14 * 24 * 60 * 60 * 1000),
|
||||
label: 'Older'
|
||||
}
|
||||
]
|
||||
|
||||
// Cluster by time
|
||||
const clusters = await brain.neural().clusterByTime('publishedAt', timeWindows, {
|
||||
timeField: 'publishedAt',
|
||||
windows: timeWindows
|
||||
})
|
||||
|
||||
expect(Array.isArray(clusters)).toBe(true)
|
||||
expect(clusters.length).toBeGreaterThan(0)
|
||||
|
||||
// Verify time windows are represented
|
||||
const windowLabels = new Set(clusters.map(c => c.timeWindow?.label))
|
||||
expect(windowLabels.size).toBeGreaterThan(0)
|
||||
})
|
||||
|
||||
it('should cluster entities by createdAt timestamps', async () => {
|
||||
// These will use the auto-generated createdAt timestamps
|
||||
const id1 = await brain.add(createAddParams({
|
||||
|
|
|
|||
|
|
@ -347,23 +347,6 @@ describe('Neural API - Production Testing', () => {
|
|||
expect(Array.isArray(clusters)).toBe(true)
|
||||
})
|
||||
|
||||
// TODO: Investigate "Cannot read properties of undefined (reading 'vector')" - clustering needs vector data
|
||||
it.skip('should handle different clustering algorithms', async () => {
|
||||
await brain.add(createAddParams({ data: 'Algorithm test 1' }))
|
||||
await brain.add(createAddParams({ data: 'Algorithm test 2' }))
|
||||
|
||||
const algorithms = ['auto', 'semantic', 'hierarchical', 'kmeans', 'dbscan']
|
||||
|
||||
for (const algorithm of algorithms) {
|
||||
const clusters = await brain.neural().clusters({
|
||||
algorithm: algorithm as any,
|
||||
minClusterSize: 1,
|
||||
maxClusters: 5
|
||||
})
|
||||
|
||||
expect(Array.isArray(clusters)).toBe(true)
|
||||
}
|
||||
})
|
||||
})
|
||||
|
||||
describe('11. Streaming Clustering', () => {
|
||||
|
|
@ -435,24 +418,6 @@ describe('Neural API - Production Testing', () => {
|
|||
expect(duration).toBeLessThan(5000) // Should complete in under 5 seconds
|
||||
})
|
||||
|
||||
// TODO: Investigate "Cannot read properties of undefined (reading 'vector')" - clustering needs vector data
|
||||
it.skip('should handle concurrent neural operations', async () => {
|
||||
await brain.add(createAddParams({ data: 'Concurrent test 1' }))
|
||||
await brain.add(createAddParams({ data: 'Concurrent test 2' }))
|
||||
|
||||
const operations = [
|
||||
brain.neural().similar('test1', 'test2'),
|
||||
brain.neural().clusters({ maxClusters: 3 }),
|
||||
brain.neural().outliers({ threshold: 0.8 })
|
||||
]
|
||||
|
||||
const results = await Promise.all(operations)
|
||||
|
||||
expect(results.length).toBe(3)
|
||||
expect(typeof results[0]).toBe('number') // similarity
|
||||
expect(Array.isArray(results[1])).toBe(true) // clusters
|
||||
expect(Array.isArray(results[2])).toBe(true) // outliers
|
||||
})
|
||||
})
|
||||
|
||||
describe('14. Configuration and Options', () => {
|
||||
|
|
|
|||
|
|
@ -62,30 +62,6 @@ describe('VFS Bug Fixes', () => {
|
|||
expect(readme?.metadata.vfsType).toBe('file')
|
||||
})
|
||||
|
||||
// TODO: Investigate "Source entity not found" error in relate() - likely cache/timing issue
|
||||
it.skip('should not create duplicate Contains relationships', async () => {
|
||||
// Write multiple files to same directory
|
||||
await vfs.writeFile('/src/a.ts', 'a')
|
||||
await vfs.writeFile('/src/b.ts', 'b')
|
||||
await vfs.writeFile('/src/c.ts', 'c')
|
||||
|
||||
// Get the root entity and src directory entity
|
||||
const rootEntity = await vfs.getEntity('/')
|
||||
const srcEntity = await vfs.getEntity('/src')
|
||||
|
||||
// Get all Contains relationships from root
|
||||
const relations = await brain.getRelations({
|
||||
from: rootEntity.id,
|
||||
type: 'contains' as any
|
||||
})
|
||||
|
||||
// Filter for relationships pointing to src directory
|
||||
const srcRelations = relations.filter(r => r.to === srcEntity.id)
|
||||
|
||||
// Should only have ONE relationship from root to src
|
||||
expect(srcRelations.length).toBe(1)
|
||||
})
|
||||
|
||||
it('should handle concurrent file writes without creating duplicates', async () => {
|
||||
// Write multiple files concurrently (more likely to trigger race conditions)
|
||||
await Promise.all([
|
||||
|
|
@ -187,69 +163,4 @@ describe('VFS Bug Fixes', () => {
|
|||
})
|
||||
})
|
||||
|
||||
describe('Integration: Both Fixes Together', () => {
|
||||
// TODO: Investigate "Source entity not found" error - likely cache/timing issue
|
||||
it.skip('should handle the exact Brain Studio scenario', async () => {
|
||||
// Reproduce exact scenario from bug report
|
||||
const files = [
|
||||
{ path: '/STRICT_TAXONOMY.md', content: 'Taxonomy content' },
|
||||
{ path: '/README.md', content: 'README content' },
|
||||
{ path: '/package.json', content: '{"name": "test"}' },
|
||||
{ path: '/tsconfig.json', content: '{"compilerOptions": {}}' },
|
||||
{ path: '/src/types.ts', content: 'export type Foo = string' },
|
||||
{ path: '/src/webhook-handler.ts', content: 'export function handler() {}' },
|
||||
{ path: '/src/index.ts', content: 'export * from "./types"' },
|
||||
{ path: '/src/sync-engine.ts', content: 'export class Engine {}' },
|
||||
{ path: '/src/asana-client.ts', content: 'export class Client {}' }
|
||||
]
|
||||
|
||||
// Import all files
|
||||
for (const file of files) {
|
||||
await vfs.writeFile(file.path, file.content)
|
||||
}
|
||||
|
||||
// Check root directory - should NOT have duplicate 'src' entries
|
||||
const rootChildren = await vfs.getDirectChildren('/')
|
||||
const srcDirs = rootChildren.filter(c =>
|
||||
c.metadata.name === 'src' && c.metadata.vfsType === 'directory'
|
||||
)
|
||||
expect(srcDirs.length).toBe(1)
|
||||
|
||||
// Should have exactly 4 root items: src (dir) + 3 files
|
||||
const rootFiles = rootChildren.filter(c => c.metadata.vfsType === 'file')
|
||||
expect(rootFiles.length).toBe(4) // README, package.json, tsconfig.json, STRICT_TAXONOMY
|
||||
|
||||
// Check src directory has exactly 5 files
|
||||
const srcChildren = await vfs.getDirectChildren('/src')
|
||||
expect(srcChildren.length).toBe(5)
|
||||
|
||||
// Read all files - none should throw decompression errors
|
||||
for (const file of files) {
|
||||
const content = await vfs.readFile(file.path)
|
||||
expect(content.toString('utf8')).toBe(file.content)
|
||||
}
|
||||
})
|
||||
|
||||
// TODO: Investigate "Source entity not found" error - likely cache/timing issue
|
||||
it.skip('should maintain correct file count statistics', async () => {
|
||||
// Write files
|
||||
await vfs.writeFile('/src/a.ts', 'a')
|
||||
await vfs.writeFile('/src/b.ts', 'b')
|
||||
await vfs.writeFile('/docs/README.md', 'readme')
|
||||
|
||||
// Get statistics using du() (standard POSIX API)
|
||||
const stats = await vfs.du('/')
|
||||
|
||||
// Debug: Check what directories exist
|
||||
const rootChildren = await vfs.getDirectChildren('/')
|
||||
console.log('Root children (stats test):', rootChildren.map(c => ({name: c.metadata.name, type: c.metadata.vfsType})))
|
||||
|
||||
// Should have exactly 3 files
|
||||
expect(stats.files).toBe(3)
|
||||
|
||||
// Should have exactly 2 directories (src, docs)
|
||||
// Note: If there's a duplicate, this will fail
|
||||
expect(stats.directories).toBe(2)
|
||||
})
|
||||
})
|
||||
})
|
||||
|
|
|
|||
|
|
@ -80,28 +80,5 @@ describe('VFS Initialization', () => {
|
|||
await brain.close()
|
||||
})
|
||||
|
||||
// TODO: Investigate "Entity not found" error after readFile - likely cache/timing issue
|
||||
it.skip('should work with VFS operations immediately', async () => {
|
||||
const brain = new Brainy({
|
||||
storage: { type: 'memory' },
|
||||
silent: true
|
||||
})
|
||||
await brain.init()
|
||||
|
||||
const vfs = brain.vfs
|
||||
|
||||
// All VFS operations work immediately
|
||||
await vfs.writeFile('/test.txt', 'Hello')
|
||||
await vfs.writeFile('/data.json', '{"key": "value"}')
|
||||
|
||||
const entries = await vfs.readdir('/')
|
||||
expect(entries).toContain('test.txt')
|
||||
expect(entries).toContain('data.json')
|
||||
|
||||
const testContent = await vfs.readFile('/test.txt')
|
||||
expect(testContent.toString()).toBe('Hello')
|
||||
|
||||
await brain.close()
|
||||
})
|
||||
})
|
||||
})
|
||||
|
|
|
|||
|
|
@ -270,38 +270,6 @@ describe('VirtualFileSystem - Production Tests', () => {
|
|||
expect(paths).toContain('/search-test/login.html')
|
||||
})
|
||||
|
||||
// TODO: Investigate "Source entity not found" error in relate() - likely cache/timing issue
|
||||
it.skip('should filter by metadata', async () => {
|
||||
// Skip in unit test mode (mocked embeddings don't match file content)
|
||||
if ((globalThis as any).__BRAINY_UNIT_TEST__) {
|
||||
console.log('⏭️ Skipping metadata filter test in unit mode')
|
||||
return
|
||||
}
|
||||
|
||||
const results = await vfs.search('', {
|
||||
where: {
|
||||
path: { $startsWith: '/search-test/' },
|
||||
mimeType: 'application/json'
|
||||
}
|
||||
})
|
||||
|
||||
expect(results).toHaveLength(1)
|
||||
expect(results[0].path).toBe('/search-test/config.json')
|
||||
})
|
||||
|
||||
// TODO: Investigate "Source entity not found" error in relate() - likely cache/timing issue
|
||||
it.skip('should find similar files', async () => {
|
||||
// Find files similar to auth.js
|
||||
const similar = await vfs.findSimilar('/search-test/auth.js', {
|
||||
limit: 3
|
||||
})
|
||||
|
||||
// login.html should be in the results (both about authentication)
|
||||
// Note: The first result might be auth.js itself (most similar to itself)
|
||||
expect(similar.length).toBeGreaterThan(0)
|
||||
const paths = similar.map(r => r.path)
|
||||
expect(paths).toContain('/search-test/login.html')
|
||||
})
|
||||
})
|
||||
|
||||
describe('Extended Attributes', () => {
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue