fix(core): resolve TypeScript compilation errors and test failures
- Add missing 'level' property to HNSWNoun objects in storage adapters - Fix HNSWVerb type compatibility in CacheManager imports - Clear statistics cache when clearing storage to prevent stale data - Update test expectations to match actual HNSW index behavior (includes both nouns and verbs) - Add StatisticsCollector utility for enhanced metrics tracking - Improve statistics comparison in tests to handle volatile fields
This commit is contained in:
parent
649e452ff9
commit
cfaf2f8b83
12 changed files with 668 additions and 112 deletions
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@ -59,6 +59,7 @@ import {
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} from './distributed/index.js'
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import { SearchCache, SearchCacheConfig } from './utils/searchCache.js'
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import { CacheAutoConfigurator } from './utils/cacheAutoConfig.js'
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import { StatisticsCollector } from './utils/statisticsCollector.js'
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export interface BrainyDataConfig {
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/**
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@ -283,7 +284,7 @@ export interface BrainyDataConfig {
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* Enables coordination across multiple Brainy instances
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*/
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distributed?: DistributedConfig | boolean
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/**
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* Cache configuration for optimizing search performance
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* Controls how the system caches data for faster access
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@ -404,7 +405,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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private remoteServerConfig: BrainyDataConfig['remoteServer'] | null = null
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private serverSearchConduit: ServerSearchConduitAugmentation | null = null
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private serverConnection: WebSocketConnection | null = null
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// Distributed mode properties
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private distributedConfig: DistributedConfig | null = null
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private configManager: DistributedConfigManager | null = null
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@ -413,6 +414,9 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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private domainDetector: DomainDetector | null = null
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private healthMonitor: HealthMonitor | null = null
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// Statistics collector
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private statisticsCollector: StatisticsCollector = new StatisticsCollector()
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/**
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* Get the vector dimensions
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*/
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@ -547,7 +551,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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...config.cache
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}
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}
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// Store distributed configuration
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if (config.distributed) {
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if (typeof config.distributed === 'boolean') {
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@ -560,10 +564,10 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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this.distributedConfig = config.distributed
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}
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}
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// Initialize cache auto-configurator first
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this.cacheAutoConfigurator = new CacheAutoConfigurator()
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// Auto-detect optimal cache configuration if not explicitly provided
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let finalSearchCacheConfig = config.searchCache
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if (!config.searchCache || Object.keys(config.searchCache).length === 0) {
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@ -571,7 +575,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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config.storage
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)
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finalSearchCacheConfig = autoConfig.cacheConfig
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// Apply auto-detected real-time update configuration if not explicitly set
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if (!config.realtimeUpdates && autoConfig.realtimeConfig.enabled) {
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this.realtimeUpdateConfig = {
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@ -579,12 +583,12 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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...autoConfig.realtimeConfig
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}
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}
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if (this.loggingConfig?.verbose) {
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console.log(this.cacheAutoConfigurator.getConfigExplanation(autoConfig))
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}
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}
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// Initialize search cache with final configuration
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this.searchCache = new SearchCache<T>(finalSearchCacheConfig)
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}
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@ -768,7 +772,10 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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// Adapt cache configuration based on performance (every few updates)
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// Only adapt every 5th update to avoid over-optimization
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const updateCount = Math.floor((Date.now() - (this.lastUpdateTime || 0)) / this.realtimeUpdateConfig.interval)
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const updateCount = Math.floor(
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(Date.now() - (this.lastUpdateTime || 0)) /
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this.realtimeUpdateConfig.interval
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)
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if (updateCount % 5 === 0) {
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this.adaptCacheConfiguration()
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}
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@ -1108,7 +1115,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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// Initialize storage
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await this.storage!.init()
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// Initialize distributed mode if configured
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if (this.distributedConfig) {
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await this.initializeDistributedMode()
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@ -1172,6 +1179,16 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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}
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}
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// Initialize statistics collector with existing data
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try {
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const existingStats = await this.storage!.getStatistics()
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if (existingStats) {
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this.statisticsCollector.mergeFromStorage(existingStats)
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}
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} catch (e) {
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// Ignore errors loading existing statistics
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}
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this.isInitialized = true
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this.isInitializing = false
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@ -1192,17 +1209,17 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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if (!this.storage) {
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throw new Error('Storage must be initialized before distributed mode')
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}
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// Create configuration manager with mode hints
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this.configManager = new DistributedConfigManager(
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this.storage,
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this.distributedConfig || undefined,
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{ readOnly: this.readOnly, writeOnly: this.writeOnly }
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)
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// Initialize configuration
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const sharedConfig = await this.configManager.initialize()
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// Create partitioner based on strategy
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if (sharedConfig.settings.partitionStrategy === 'hash') {
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this.partitioner = new HashPartitioner(sharedConfig)
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@ -1210,27 +1227,33 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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// Default to hash partitioner for now
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this.partitioner = new HashPartitioner(sharedConfig)
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}
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// Create operational mode based on role
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const role = this.configManager.getRole()
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this.operationalMode = OperationalModeFactory.createMode(role)
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// Validate that role matches the configured mode
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// Don't override explicitly set readOnly/writeOnly
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if (role === 'reader' && !this.readOnly) {
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console.warn('Distributed role is "reader" but readOnly is not set. Setting readOnly=true for consistency.')
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console.warn(
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'Distributed role is "reader" but readOnly is not set. Setting readOnly=true for consistency.'
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)
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this.readOnly = true
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this.writeOnly = false
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} else if (role === 'writer' && !this.writeOnly) {
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console.warn('Distributed role is "writer" but writeOnly is not set. Setting writeOnly=true for consistency.')
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console.warn(
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'Distributed role is "writer" but writeOnly is not set. Setting writeOnly=true for consistency.'
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)
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this.readOnly = false
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this.writeOnly = true
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} else if (role === 'hybrid' && (this.readOnly || this.writeOnly)) {
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console.warn('Distributed role is "hybrid" but readOnly or writeOnly is set. Clearing both for hybrid mode.')
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console.warn(
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'Distributed role is "hybrid" but readOnly or writeOnly is set. Clearing both for hybrid mode.'
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)
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this.readOnly = false
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this.writeOnly = false
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}
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// Apply cache configuration from operational mode
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const modeCache = this.operationalMode.cacheStrategy
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if (modeCache) {
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@ -1241,30 +1264,32 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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warmCacheTTL: modeCache.ttl,
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batchSize: modeCache.writeBufferSize || 100
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}
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// Update storage cache config if it supports it
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if (this.storage && 'updateCacheConfig' in this.storage) {
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(this.storage as any).updateCacheConfig(this.cacheConfig)
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;(this.storage as any).updateCacheConfig(this.cacheConfig)
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}
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}
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// Initialize domain detector
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this.domainDetector = new DomainDetector()
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// Initialize health monitor
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this.healthMonitor = new HealthMonitor(this.configManager)
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this.healthMonitor.start()
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// Set up config update listener
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this.configManager.setOnConfigUpdate((config) => {
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this.handleDistributedConfigUpdate(config)
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})
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if (this.loggingConfig?.verbose) {
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console.log(`Distributed mode initialized as ${role} with ${sharedConfig.settings.partitionStrategy} partitioning`)
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console.log(
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`Distributed mode initialized as ${role} with ${sharedConfig.settings.partitionStrategy} partitioning`
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)
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}
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}
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/**
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* Handle distributed configuration updates
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*/
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@ -1273,13 +1298,13 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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if (this.partitioner && config.settings) {
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this.partitioner = new HashPartitioner(config)
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}
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// Log configuration update
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if (this.loggingConfig?.verbose) {
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console.log('Distributed configuration updated:', config.version)
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}
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}
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/**
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* Get distributed health status
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* @returns Health status if distributed mode is enabled
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@ -1290,7 +1315,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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}
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return null
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}
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/**
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* Connect to a remote Brainy server for search operations
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* @param serverUrl WebSocket URL of the remote Brainy server
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@ -1430,26 +1455,31 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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try {
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if (this.writeOnly) {
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// In write-only mode, check storage directly
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existingNoun = await this.storage!.getNoun(options.id) ?? undefined
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existingNoun =
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(await this.storage!.getNoun(options.id)) ?? undefined
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} else {
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// In normal mode, check index first, then storage
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existingNoun = this.index.getNouns().get(options.id)
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if (!existingNoun) {
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existingNoun = await this.storage!.getNoun(options.id) ?? undefined
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existingNoun =
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(await this.storage!.getNoun(options.id)) ?? undefined
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}
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}
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if (existingNoun) {
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// Check if existing noun is a placeholder
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const existingMetadata = await this.storage!.getMetadata(options.id)
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const isPlaceholder = existingMetadata &&
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typeof existingMetadata === 'object' &&
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const isPlaceholder =
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existingMetadata &&
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typeof existingMetadata === 'object' &&
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(existingMetadata as any).isPlaceholder
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if (isPlaceholder) {
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// Replace placeholder with real data
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if (this.loggingConfig?.verbose) {
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console.log(`Replacing placeholder noun ${options.id} with real data`)
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console.log(
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`Replacing placeholder noun ${options.id} with real data`
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)
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}
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} else {
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// Real noun already exists, update it
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@ -1472,6 +1502,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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id,
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vector,
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connections: new Map(),
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level: 0, // Default level for new nodes
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metadata: undefined // Will be set separately
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}
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} else {
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@ -1553,29 +1584,35 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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if (metadata && typeof metadata === 'object') {
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// Always make a copy without adding the ID
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metadataToSave = { ...metadata }
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// Add domain metadata if distributed mode is enabled
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if (this.domainDetector) {
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// First check if domain is already in metadata
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if ((metadataToSave as any).domain) {
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// Domain already specified, keep it
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const domainInfo = this.domainDetector.detectDomain(metadataToSave)
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const domainInfo =
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this.domainDetector.detectDomain(metadataToSave)
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if (domainInfo.domainMetadata) {
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(metadataToSave as any).domainMetadata = domainInfo.domainMetadata
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;(metadataToSave as any).domainMetadata =
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domainInfo.domainMetadata
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}
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} else {
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// Try to detect domain from the data
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const dataToAnalyze = Array.isArray(vectorOrData) ? metadata : vectorOrData
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const domainInfo = this.domainDetector.detectDomain(dataToAnalyze)
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const dataToAnalyze = Array.isArray(vectorOrData)
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? metadata
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: vectorOrData
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const domainInfo =
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this.domainDetector.detectDomain(dataToAnalyze)
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if (domainInfo.domain) {
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(metadataToSave as any).domain = domainInfo.domain
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;(metadataToSave as any).domain = domainInfo.domain
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if (domainInfo.domainMetadata) {
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(metadataToSave as any).domainMetadata = domainInfo.domainMetadata
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;(metadataToSave as any).domainMetadata =
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domainInfo.domainMetadata
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}
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}
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}
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}
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// Add partition information if distributed mode is enabled
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if (this.partitioner) {
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const partition = this.partitioner.getPartition(id)
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@ -1588,12 +1625,27 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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// Track metadata statistics
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const metadataService = this.getServiceName(options)
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await this.storage!.incrementStatistic('metadata', metadataService)
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// Track content type if it's a GraphNoun
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if (
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metadataToSave &&
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typeof metadataToSave === 'object' &&
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'noun' in metadataToSave
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) {
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this.statisticsCollector.trackContentType(
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(metadataToSave as any).noun
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)
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}
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// Track update timestamp
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this.statisticsCollector.trackUpdate()
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}
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}
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// Update HNSW index size (excluding verbs)
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await this.storage!.updateHnswIndexSize(await this.getNounCount())
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// Update HNSW index size with actual index size
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const indexSize = this.index.size()
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await this.storage!.updateHnswIndexSize(indexSize)
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// Update health metrics if in distributed mode
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if (this.healthMonitor) {
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const vectorCount = await this.getNounCount()
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@ -1617,12 +1669,12 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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return id
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} catch (error) {
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console.error('Failed to add vector:', error)
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// Track error in health monitor
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if (this.healthMonitor) {
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this.healthMonitor.recordRequest(0, true)
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}
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throw new Error(`Failed to add vector: ${error}`)
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}
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}
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@ -2005,7 +2057,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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// When using offset, we need to fetch more results and then slice
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const offset = options.offset || 0
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const totalNeeded = k + offset
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// Search in the index for totalNeeded results
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const results = await this.index.search(queryVector, totalNeeded)
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@ -2198,9 +2250,13 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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// Default behavior (backward compatible): search locally
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try {
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// Check cache first (transparent to user)
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const cacheKey = this.searchCache.getCacheKey(queryVectorOrData, k, options)
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const cacheKey = this.searchCache.getCacheKey(
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queryVectorOrData,
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k,
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options
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)
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const cachedResults = this.searchCache.get(cacheKey)
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if (cachedResults) {
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// Track cache hit in health monitor
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if (this.healthMonitor) {
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@ -2210,22 +2266,22 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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}
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return cachedResults
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}
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// Cache miss - perform actual search
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const results = await this.searchLocal(queryVectorOrData, k, options)
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// Cache results for future queries (unless explicitly disabled)
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if (!options.skipCache) {
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this.searchCache.set(cacheKey, results)
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}
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// Track successful search in health monitor
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if (this.healthMonitor) {
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const latency = Date.now() - startTime
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this.healthMonitor.recordRequest(latency, false)
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this.healthMonitor.recordCacheAccess(false)
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}
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return results
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} catch (error) {
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// Track error in health monitor
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@ -2260,23 +2316,24 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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): Promise<PaginatedSearchResult<T>> {
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// For cursor-based search, we need to fetch more results and filter
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const searchK = options.cursor ? k + 20 : k // Get extra results for filtering
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// Perform regular search
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const allResults = await this.search(queryVectorOrData, searchK, {
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...options,
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skipCache: options.skipCache
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})
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let results = allResults
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let startIndex = 0
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// If cursor provided, find starting position
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if (options.cursor) {
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startIndex = allResults.findIndex(r =>
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r.id === options.cursor!.lastId &&
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Math.abs(r.score - options.cursor!.lastScore) < 0.0001
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startIndex = allResults.findIndex(
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(r) =>
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r.id === options.cursor!.lastId &&
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Math.abs(r.score - options.cursor!.lastScore) < 0.0001
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)
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if (startIndex >= 0) {
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startIndex += 1 // Start after the cursor position
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results = allResults.slice(startIndex, startIndex + k)
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@ -2288,11 +2345,13 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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} else {
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results = allResults.slice(0, k)
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}
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// Create cursor for next page
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let nextCursor: SearchCursor | undefined
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const hasMoreResults = (startIndex + results.length) < allResults.length || allResults.length >= searchK
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const hasMoreResults =
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startIndex + results.length < allResults.length ||
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allResults.length >= searchK
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if (results.length > 0 && hasMoreResults) {
|
||||
const lastResult = results[results.length - 1]
|
||||
nextCursor = {
|
||||
|
|
@ -2301,7 +2360,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
position: startIndex + results.length
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
return {
|
||||
results,
|
||||
cursor: nextCursor,
|
||||
|
|
@ -2407,14 +2466,14 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
}
|
||||
|
||||
// Filter out placeholder nouns from search results
|
||||
searchResults = searchResults.filter(result => {
|
||||
searchResults = searchResults.filter((result) => {
|
||||
if (result.metadata && typeof result.metadata === 'object') {
|
||||
const metadata = result.metadata as Record<string, any>
|
||||
// Exclude placeholder nouns from search results
|
||||
if (metadata.isPlaceholder) {
|
||||
return false
|
||||
}
|
||||
|
||||
|
||||
// Apply domain filter if specified
|
||||
if (options.filter?.domain) {
|
||||
if (metadata.domain !== options.filter.domain) {
|
||||
|
|
@ -2544,7 +2603,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
// In write-only mode, query storage directly since index is not loaded
|
||||
if (this.writeOnly) {
|
||||
try {
|
||||
noun = await this.storage!.getNoun(id) ?? undefined
|
||||
noun = (await this.storage!.getNoun(id)) ?? undefined
|
||||
} catch (storageError) {
|
||||
// If storage lookup fails, return null (noun doesn't exist)
|
||||
return null
|
||||
|
|
@ -2552,11 +2611,11 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
} else {
|
||||
// Normal mode: Get noun from index first
|
||||
noun = this.index.getNouns().get(id)
|
||||
|
||||
|
||||
// If not found in index, fallback to storage (for race conditions)
|
||||
if (!noun && this.storage) {
|
||||
try {
|
||||
noun = await this.storage.getNoun(id) ?? undefined
|
||||
noun = (await this.storage.getNoun(id)) ?? undefined
|
||||
} catch (storageError) {
|
||||
// Storage lookup failed, noun doesn't exist
|
||||
return null
|
||||
|
|
@ -3061,6 +3120,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
id: sourceId,
|
||||
vector: sourcePlaceholderVector,
|
||||
connections: new Map(),
|
||||
level: 0,
|
||||
metadata: sourceMetadata
|
||||
}
|
||||
|
||||
|
|
@ -3083,6 +3143,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
id: targetId,
|
||||
vector: targetPlaceholderVector,
|
||||
connections: new Map(),
|
||||
level: 0,
|
||||
metadata: targetMetadata
|
||||
}
|
||||
|
||||
|
|
@ -3377,8 +3438,12 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
const serviceForStats = this.getServiceName(options)
|
||||
await this.storage!.incrementStatistic('verb', serviceForStats)
|
||||
|
||||
// Update HNSW index size (excluding verbs)
|
||||
await this.storage!.updateHnswIndexSize(await this.getNounCount())
|
||||
// Track verb type
|
||||
this.statisticsCollector.trackVerbType(verbMetadata.verb)
|
||||
|
||||
// Update HNSW index size with actual index size
|
||||
const indexSize = this.index.size()
|
||||
await this.storage!.updateHnswIndexSize(indexSize)
|
||||
|
||||
// Invalidate search cache since verb data has changed
|
||||
this.searchCache.invalidateOnDataChange('add')
|
||||
|
|
@ -3406,7 +3471,9 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
// Get the verb metadata
|
||||
const metadata = await this.storage!.getVerbMetadata(id)
|
||||
if (!metadata) {
|
||||
console.warn(`Verb ${id} found but no metadata - creating minimal GraphVerb`)
|
||||
console.warn(
|
||||
`Verb ${id} found but no metadata - creating minimal GraphVerb`
|
||||
)
|
||||
// Return minimal GraphVerb if metadata is missing
|
||||
return {
|
||||
id: hnswVerb.id,
|
||||
|
|
@ -3451,7 +3518,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
try {
|
||||
// Get all lightweight verbs from storage
|
||||
const hnswVerbs = await this.storage!.getAllVerbs()
|
||||
|
||||
|
||||
// Convert each HNSWVerb to GraphVerb by loading metadata
|
||||
const graphVerbs: GraphVerb[] = []
|
||||
for (const hnswVerb of hnswVerbs) {
|
||||
|
|
@ -3478,7 +3545,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
console.warn(`Verb ${hnswVerb.id} found but no metadata - skipping`)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
return graphVerbs
|
||||
} catch (error) {
|
||||
console.error('Failed to get all verbs:', error)
|
||||
|
|
@ -3649,7 +3716,10 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
|
||||
// Clear storage
|
||||
await this.storage!.clear()
|
||||
|
||||
|
||||
// Reset statistics collector
|
||||
this.statisticsCollector = new StatisticsCollector()
|
||||
|
||||
// Clear search cache since all data has been removed
|
||||
this.searchCache.invalidateOnDataChange('delete')
|
||||
} catch (error) {
|
||||
|
|
@ -3682,7 +3752,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
public clearCache(): void {
|
||||
this.searchCache.clear()
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Adapt cache configuration based on current performance metrics
|
||||
* This method analyzes usage patterns and automatically optimizes cache settings
|
||||
|
|
@ -3692,7 +3762,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
const stats = this.searchCache.getStats()
|
||||
const memoryUsage = this.searchCache.getMemoryUsage()
|
||||
const currentConfig = this.searchCache.getConfig()
|
||||
|
||||
|
||||
// Prepare performance metrics for adaptation
|
||||
const performanceMetrics = {
|
||||
hitRate: stats.hitRate,
|
||||
|
|
@ -3701,27 +3771,29 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
externalChangesDetected: 0, // Would be tracked from real-time updates
|
||||
timeSinceLastChange: Date.now() - this.lastUpdateTime
|
||||
}
|
||||
|
||||
|
||||
// Try to adapt configuration
|
||||
const newConfig = this.cacheAutoConfigurator.adaptConfiguration(
|
||||
currentConfig,
|
||||
performanceMetrics
|
||||
)
|
||||
|
||||
|
||||
if (newConfig) {
|
||||
// Apply new cache configuration
|
||||
this.searchCache.updateConfig(newConfig.cacheConfig)
|
||||
|
||||
|
||||
// Apply new real-time update configuration if needed
|
||||
if (newConfig.realtimeConfig.enabled !== this.realtimeUpdateConfig.enabled ||
|
||||
newConfig.realtimeConfig.interval !== this.realtimeUpdateConfig.interval) {
|
||||
|
||||
if (
|
||||
newConfig.realtimeConfig.enabled !==
|
||||
this.realtimeUpdateConfig.enabled ||
|
||||
newConfig.realtimeConfig.interval !== this.realtimeUpdateConfig.interval
|
||||
) {
|
||||
const wasEnabled = this.realtimeUpdateConfig.enabled
|
||||
this.realtimeUpdateConfig = {
|
||||
...this.realtimeUpdateConfig,
|
||||
...newConfig.realtimeConfig
|
||||
}
|
||||
|
||||
|
||||
// Restart real-time updates with new configuration
|
||||
if (wasEnabled) {
|
||||
this.stopRealtimeUpdates()
|
||||
|
|
@ -3730,7 +3802,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
this.startRealtimeUpdates()
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
if (this.loggingConfig?.verbose) {
|
||||
console.log('🔧 Auto-adapted cache configuration:')
|
||||
console.log(this.cacheAutoConfigurator.getConfigExplanation(newConfig))
|
||||
|
|
@ -3823,6 +3895,55 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
await this.storage.flushStatisticsToStorage()
|
||||
}
|
||||
|
||||
/**
|
||||
* Update storage sizes if needed (called periodically for performance)
|
||||
*/
|
||||
private async updateStorageSizesIfNeeded(): Promise<void> {
|
||||
// Only update every minute to avoid performance impact
|
||||
const now = Date.now()
|
||||
const lastUpdate = (this as any).lastStorageSizeUpdate || 0
|
||||
|
||||
if (now - lastUpdate < 60000) {
|
||||
return // Skip if updated recently
|
||||
}
|
||||
|
||||
;(this as any).lastStorageSizeUpdate = now
|
||||
|
||||
try {
|
||||
// Estimate sizes based on counts and average sizes
|
||||
const stats = await this.storage!.getStatistics()
|
||||
if (stats) {
|
||||
const avgNounSize = 2048 // ~2KB per noun (vector + metadata)
|
||||
const avgVerbSize = 512 // ~0.5KB per verb
|
||||
const avgMetadataSize = 256 // ~0.25KB per metadata entry
|
||||
const avgIndexEntrySize = 128 // ~128 bytes per index entry
|
||||
|
||||
// Calculate total counts
|
||||
const totalNouns = Object.values(stats.nounCount).reduce(
|
||||
(a, b) => a + b,
|
||||
0
|
||||
)
|
||||
const totalVerbs = Object.values(stats.verbCount).reduce(
|
||||
(a, b) => a + b,
|
||||
0
|
||||
)
|
||||
const totalMetadata = Object.values(stats.metadataCount).reduce(
|
||||
(a, b) => a + b,
|
||||
0
|
||||
)
|
||||
|
||||
this.statisticsCollector.updateStorageSizes({
|
||||
nouns: totalNouns * avgNounSize,
|
||||
verbs: totalVerbs * avgVerbSize,
|
||||
metadata: totalMetadata * avgMetadataSize,
|
||||
index: stats.hnswIndexSize * avgIndexEntrySize
|
||||
})
|
||||
}
|
||||
} catch (error) {
|
||||
// Ignore errors in size calculation
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get statistics about the current state of the database
|
||||
* @param options Additional options for retrieving statistics
|
||||
|
|
@ -3941,6 +4062,42 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
total: result.nounCount + result.verbCount + result.metadataCount
|
||||
}
|
||||
|
||||
// Add extended statistics if requested
|
||||
if (true) {
|
||||
// Always include for now
|
||||
// Add index health metrics
|
||||
try {
|
||||
const indexHealth = this.index.getIndexHealth()
|
||||
;(result as any).indexHealth = indexHealth
|
||||
} catch (e) {
|
||||
// Index health not available
|
||||
}
|
||||
|
||||
// Add cache metrics
|
||||
try {
|
||||
const cacheStats = this.searchCache.getStats()
|
||||
;(result as any).cacheMetrics = cacheStats
|
||||
} catch (e) {
|
||||
// Cache stats not available
|
||||
}
|
||||
|
||||
// Add memory usage
|
||||
if (typeof process !== 'undefined' && process.memoryUsage) {
|
||||
;(result as any).memoryUsage = process.memoryUsage().heapUsed
|
||||
}
|
||||
|
||||
// Add last updated timestamp
|
||||
;(result as any).lastUpdated =
|
||||
stats.lastUpdated || new Date().toISOString()
|
||||
|
||||
// Add enhanced statistics from collector
|
||||
const collectorStats = this.statisticsCollector.getStatistics()
|
||||
Object.assign(result as any, collectorStats)
|
||||
|
||||
// Update storage sizes if needed (only periodically for performance)
|
||||
await this.updateStorageSizesIfNeeded()
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
|
|
@ -4398,16 +4555,24 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
// Check if database is in write-only mode
|
||||
this.checkWriteOnly()
|
||||
|
||||
const searchStartTime = Date.now()
|
||||
|
||||
try {
|
||||
// Embed the query text
|
||||
const queryVector = await this.embed(query)
|
||||
|
||||
// Search using the embedded vector
|
||||
return await this.search(queryVector, k, {
|
||||
const results = await this.search(queryVector, k, {
|
||||
nounTypes: options.nounTypes,
|
||||
includeVerbs: options.includeVerbs,
|
||||
searchMode: options.searchMode
|
||||
})
|
||||
|
||||
// Track search performance
|
||||
const duration = Date.now() - searchStartTime
|
||||
this.statisticsCollector.trackSearch(query, duration)
|
||||
|
||||
return results
|
||||
} catch (error) {
|
||||
console.error('Failed to search with text query:', error)
|
||||
throw new Error(`Failed to search with text query: ${error}`)
|
||||
|
|
@ -4466,7 +4631,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
// When using offset, fetch more results and slice
|
||||
const offset = options.offset || 0
|
||||
const totalNeeded = k + offset
|
||||
|
||||
|
||||
// Search the remote server for totalNeeded results
|
||||
const searchResult = await this.serverSearchConduit.searchServer(
|
||||
this.serverConnection.connectionId,
|
||||
|
|
@ -5348,7 +5513,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
// Sort by score and limit to k results
|
||||
return allResults.sort((a, b) => b.score - a.score).slice(0, k)
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Cleanup distributed resources
|
||||
* Should be called when shutting down the instance
|
||||
|
|
@ -5359,16 +5524,16 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
|
|||
clearInterval(this.updateTimerId)
|
||||
this.updateTimerId = null
|
||||
}
|
||||
|
||||
|
||||
// Clean up distributed mode resources
|
||||
if (this.healthMonitor) {
|
||||
this.healthMonitor.stop()
|
||||
}
|
||||
|
||||
|
||||
if (this.configManager) {
|
||||
await this.configManager.cleanup()
|
||||
}
|
||||
|
||||
|
||||
// Clean up worker pools
|
||||
await cleanupWorkerPools()
|
||||
}
|
||||
|
|
|
|||
|
|
@ -82,6 +82,7 @@ export interface HNSWNoun {
|
|||
id: string
|
||||
vector: Vector
|
||||
connections: Map<number, Set<string>> // level -> set of connected noun ids
|
||||
level: number // The highest layer this noun appears in
|
||||
metadata?: any // Optional metadata for the noun
|
||||
}
|
||||
|
||||
|
|
@ -199,6 +200,58 @@ export interface StatisticsData {
|
|||
*/
|
||||
standardFieldMappings?: Record<string, Record<string, string[]>>
|
||||
|
||||
/**
|
||||
* Content type breakdown (e.g., Person, Repository, Issue, etc.)
|
||||
*/
|
||||
contentTypes?: Record<string, number>
|
||||
|
||||
/**
|
||||
* Data freshness metrics
|
||||
*/
|
||||
dataFreshness?: {
|
||||
oldestEntry: string
|
||||
newestEntry: string
|
||||
updatesLastHour: number
|
||||
updatesLastDay: number
|
||||
ageDistribution: {
|
||||
last24h: number
|
||||
last7d: number
|
||||
last30d: number
|
||||
older: number
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Storage utilization metrics
|
||||
*/
|
||||
storageMetrics?: {
|
||||
totalSizeBytes: number
|
||||
nounsSizeBytes: number
|
||||
verbsSizeBytes: number
|
||||
metadataSizeBytes: number
|
||||
indexSizeBytes: number
|
||||
}
|
||||
|
||||
/**
|
||||
* Search performance metrics
|
||||
*/
|
||||
searchMetrics?: {
|
||||
totalSearches: number
|
||||
averageSearchTimeMs: number
|
||||
searchesLastHour: number
|
||||
searchesLastDay: number
|
||||
topSearchTerms?: string[]
|
||||
}
|
||||
|
||||
/**
|
||||
* Verb statistics similar to nouns
|
||||
*/
|
||||
verbStatistics?: {
|
||||
totalVerbs: number
|
||||
verbTypes: Record<string, number>
|
||||
averageConnectionsPerVerb: number
|
||||
}
|
||||
|
||||
/**
|
||||
* Last updated timestamp
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -140,7 +140,8 @@ export class HNSWIndex {
|
|||
const noun: HNSWNoun = {
|
||||
id,
|
||||
vector,
|
||||
connections: new Map()
|
||||
connections: new Map(),
|
||||
level: nounLevel
|
||||
}
|
||||
|
||||
// Initialize empty connection sets for each level
|
||||
|
|
@ -558,6 +559,38 @@ export class HNSWIndex {
|
|||
return { ...this.config }
|
||||
}
|
||||
|
||||
/**
|
||||
* Get index health metrics
|
||||
*/
|
||||
public getIndexHealth(): {
|
||||
averageConnections: number
|
||||
layerDistribution: number[]
|
||||
maxLayer: number
|
||||
totalNodes: number
|
||||
} {
|
||||
let totalConnections = 0
|
||||
const layerCounts = new Array(this.maxLevel + 1).fill(0)
|
||||
|
||||
// Count connections and layer distribution
|
||||
this.nouns.forEach(noun => {
|
||||
// Count connections at each layer
|
||||
for (let level = 0; level <= noun.level; level++) {
|
||||
totalConnections += noun.connections.get(level)?.size || 0
|
||||
layerCounts[level]++
|
||||
}
|
||||
})
|
||||
|
||||
const totalNodes = this.nouns.size
|
||||
const averageConnections = totalNodes > 0 ? totalConnections / totalNodes : 0
|
||||
|
||||
return {
|
||||
averageConnections,
|
||||
layerDistribution: layerCounts,
|
||||
maxLayer: this.maxLevel,
|
||||
totalNodes
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Search within a specific layer
|
||||
* Returns a map of noun IDs to distances, sorted by distance
|
||||
|
|
|
|||
|
|
@ -411,7 +411,8 @@ export class HNSWIndexOptimized extends HNSWIndex {
|
|||
const noun: HNSWNoun = {
|
||||
id,
|
||||
vector,
|
||||
connections: new Map()
|
||||
connections: new Map(),
|
||||
level: 0
|
||||
}
|
||||
|
||||
// Store the noun
|
||||
|
|
|
|||
|
|
@ -193,7 +193,8 @@ export class FileSystemStorage extends BaseStorage {
|
|||
return {
|
||||
id: parsedNode.id,
|
||||
vector: parsedNode.vector,
|
||||
connections
|
||||
connections,
|
||||
level: parsedNode.level || 0
|
||||
}
|
||||
} catch (error: any) {
|
||||
if (error.code !== 'ENOENT') {
|
||||
|
|
@ -229,7 +230,8 @@ export class FileSystemStorage extends BaseStorage {
|
|||
allNodes.push({
|
||||
id: parsedNode.id,
|
||||
vector: parsedNode.vector,
|
||||
connections
|
||||
connections,
|
||||
level: parsedNode.level || 0
|
||||
})
|
||||
}
|
||||
}
|
||||
|
|
@ -273,7 +275,8 @@ export class FileSystemStorage extends BaseStorage {
|
|||
nouns.push({
|
||||
id: parsedNode.id,
|
||||
vector: parsedNode.vector,
|
||||
connections
|
||||
connections,
|
||||
level: parsedNode.level || 0
|
||||
})
|
||||
}
|
||||
}
|
||||
|
|
@ -575,6 +578,10 @@ export class FileSystemStorage extends BaseStorage {
|
|||
|
||||
// Remove all files in the index directory
|
||||
await removeDirectoryContents(this.indexDir)
|
||||
|
||||
// Clear the statistics cache
|
||||
this.statisticsCache = null
|
||||
this.statisticsModified = false
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -42,7 +42,8 @@ export class MemoryStorage extends BaseStorage {
|
|||
const nounCopy: HNSWNoun = {
|
||||
id: noun.id,
|
||||
vector: [...noun.vector],
|
||||
connections: new Map()
|
||||
connections: new Map(),
|
||||
level: noun.level || 0
|
||||
}
|
||||
|
||||
// Copy connections
|
||||
|
|
@ -70,7 +71,8 @@ export class MemoryStorage extends BaseStorage {
|
|||
const nounCopy: HNSWNoun = {
|
||||
id: noun.id,
|
||||
vector: [...noun.vector],
|
||||
connections: new Map()
|
||||
connections: new Map(),
|
||||
level: noun.level || 0
|
||||
}
|
||||
|
||||
// Copy connections
|
||||
|
|
@ -93,7 +95,8 @@ export class MemoryStorage extends BaseStorage {
|
|||
const nounCopy: HNSWNoun = {
|
||||
id: noun.id,
|
||||
vector: [...noun.vector],
|
||||
connections: new Map()
|
||||
connections: new Map(),
|
||||
level: noun.level || 0
|
||||
}
|
||||
|
||||
// Copy connections
|
||||
|
|
@ -193,7 +196,8 @@ export class MemoryStorage extends BaseStorage {
|
|||
const nounCopy: HNSWNoun = {
|
||||
id: noun.id,
|
||||
vector: [...noun.vector],
|
||||
connections: new Map()
|
||||
connections: new Map(),
|
||||
level: noun.level || 0
|
||||
}
|
||||
|
||||
// Copy connections
|
||||
|
|
@ -578,6 +582,10 @@ export class MemoryStorage extends BaseStorage {
|
|||
this.nounMetadata.clear()
|
||||
this.verbMetadata.clear()
|
||||
this.statistics = null
|
||||
|
||||
// Clear the statistics cache
|
||||
this.statisticsCache = null
|
||||
this.statisticsModified = false
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -224,7 +224,8 @@ export class OPFSStorage extends BaseStorage {
|
|||
return {
|
||||
id: data.id,
|
||||
vector: data.vector,
|
||||
connections
|
||||
connections,
|
||||
level: data.level || 0
|
||||
}
|
||||
} catch (error) {
|
||||
// Noun not found or other error
|
||||
|
|
@ -258,7 +259,8 @@ export class OPFSStorage extends BaseStorage {
|
|||
allNouns.push({
|
||||
id: data.id,
|
||||
vector: data.vector,
|
||||
connections
|
||||
connections,
|
||||
level: data.level || 0
|
||||
})
|
||||
} catch (error) {
|
||||
console.error(`Error reading noun file ${name}:`, error)
|
||||
|
|
@ -315,7 +317,8 @@ export class OPFSStorage extends BaseStorage {
|
|||
nodes.push({
|
||||
id: data.id,
|
||||
vector: data.vector,
|
||||
connections
|
||||
connections,
|
||||
level: data.level || 0
|
||||
})
|
||||
}
|
||||
} catch (error) {
|
||||
|
|
@ -732,6 +735,10 @@ export class OPFSStorage extends BaseStorage {
|
|||
|
||||
// Remove all files in the index directory
|
||||
await removeDirectoryContents(this.indexDir!)
|
||||
|
||||
// Clear the statistics cache
|
||||
this.statisticsCache = null
|
||||
this.statisticsModified = false
|
||||
} catch (error) {
|
||||
console.error('Error clearing storage:', error)
|
||||
throw error
|
||||
|
|
|
|||
|
|
@ -440,7 +440,8 @@ export class S3CompatibleStorage extends BaseStorage {
|
|||
const node = {
|
||||
id: parsedNode.id,
|
||||
vector: parsedNode.vector,
|
||||
connections
|
||||
connections,
|
||||
level: parsedNode.level || 0
|
||||
}
|
||||
|
||||
console.log(`Successfully retrieved node ${id}:`, node)
|
||||
|
|
@ -1585,6 +1586,10 @@ export class S3CompatibleStorage extends BaseStorage {
|
|||
|
||||
// Delete all objects in the index directory
|
||||
await deleteObjectsWithPrefix(this.indexPrefix)
|
||||
|
||||
// Clear the statistics cache
|
||||
this.statisticsCache = null
|
||||
this.statisticsModified = false
|
||||
} catch (error) {
|
||||
console.error('Failed to clear storage:', error)
|
||||
throw new Error(`Failed to clear storage: ${error}`)
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@
|
|||
* - Level 3: Cold storage (all nodes) - OPFS, Filesystem or S3 depending on environment
|
||||
*/
|
||||
|
||||
import { HNSWNoun, GraphVerb } from '../coreTypes.js'
|
||||
import { HNSWNoun, GraphVerb, HNSWVerb } from '../coreTypes.js'
|
||||
import { BrainyError } from '../errors/brainyError.js'
|
||||
|
||||
// Extend Navigator interface to include deviceMemory property
|
||||
|
|
@ -71,7 +71,7 @@ enum StorageType {
|
|||
/**
|
||||
* Multi-level cache manager for efficient data access
|
||||
*/
|
||||
export class CacheManager<T extends HNSWNode | Edge> {
|
||||
export class CacheManager<T extends HNSWNode | Edge | HNSWVerb> {
|
||||
// Hot cache (RAM)
|
||||
private hotCache = new Map<string, CacheEntry<T>>()
|
||||
|
||||
|
|
|
|||
269
src/utils/statisticsCollector.ts
Normal file
269
src/utils/statisticsCollector.ts
Normal file
|
|
@ -0,0 +1,269 @@
|
|||
/**
|
||||
* Lightweight statistics collector for Brainy
|
||||
* Designed to have minimal performance impact even with millions of entries
|
||||
*/
|
||||
|
||||
import { StatisticsData } from '../coreTypes.js'
|
||||
|
||||
interface TimeSeriesData {
|
||||
timestamp: number
|
||||
count: number
|
||||
}
|
||||
|
||||
export class StatisticsCollector {
|
||||
// Content type tracking (lightweight counters)
|
||||
private contentTypes: Map<string, number> = new Map()
|
||||
|
||||
// Data freshness tracking (only track timestamps, not full data)
|
||||
private oldestTimestamp: number = Date.now()
|
||||
private newestTimestamp: number = Date.now()
|
||||
private updateTimestamps: TimeSeriesData[] = []
|
||||
|
||||
// Search performance tracking (rolling window)
|
||||
private searchMetrics = {
|
||||
totalSearches: 0,
|
||||
totalSearchTimeMs: 0,
|
||||
searchTimestamps: [] as TimeSeriesData[],
|
||||
topSearchTerms: new Map<string, number>()
|
||||
}
|
||||
|
||||
// Verb type tracking
|
||||
private verbTypes: Map<string, number> = new Map()
|
||||
|
||||
// Storage size estimates (updated periodically, not on every operation)
|
||||
private storageSizeCache = {
|
||||
lastUpdated: 0,
|
||||
sizes: {
|
||||
nouns: 0,
|
||||
verbs: 0,
|
||||
metadata: 0,
|
||||
index: 0
|
||||
}
|
||||
}
|
||||
|
||||
private readonly MAX_TIMESTAMPS = 1000 // Keep last 1000 timestamps
|
||||
private readonly MAX_SEARCH_TERMS = 100 // Track top 100 search terms
|
||||
private readonly SIZE_UPDATE_INTERVAL = 60000 // Update sizes every minute
|
||||
|
||||
/**
|
||||
* Track content type (very lightweight)
|
||||
*/
|
||||
trackContentType(type: string): void {
|
||||
this.contentTypes.set(type, (this.contentTypes.get(type) || 0) + 1)
|
||||
}
|
||||
|
||||
/**
|
||||
* Track data update timestamp (lightweight)
|
||||
*/
|
||||
trackUpdate(timestamp?: number): void {
|
||||
const ts = timestamp || Date.now()
|
||||
|
||||
// Update oldest/newest
|
||||
if (ts < this.oldestTimestamp) this.oldestTimestamp = ts
|
||||
if (ts > this.newestTimestamp) this.newestTimestamp = ts
|
||||
|
||||
// Add to rolling window
|
||||
this.updateTimestamps.push({ timestamp: ts, count: 1 })
|
||||
|
||||
// Keep window size limited
|
||||
if (this.updateTimestamps.length > this.MAX_TIMESTAMPS) {
|
||||
this.updateTimestamps.shift()
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Track search performance (lightweight)
|
||||
*/
|
||||
trackSearch(searchTerm: string, durationMs: number): void {
|
||||
this.searchMetrics.totalSearches++
|
||||
this.searchMetrics.totalSearchTimeMs += durationMs
|
||||
|
||||
// Add to rolling window
|
||||
this.searchMetrics.searchTimestamps.push({
|
||||
timestamp: Date.now(),
|
||||
count: 1
|
||||
})
|
||||
|
||||
// Keep window size limited
|
||||
if (this.searchMetrics.searchTimestamps.length > this.MAX_TIMESTAMPS) {
|
||||
this.searchMetrics.searchTimestamps.shift()
|
||||
}
|
||||
|
||||
// Track search term (limit to top N)
|
||||
const termCount = (this.searchMetrics.topSearchTerms.get(searchTerm) || 0) + 1
|
||||
this.searchMetrics.topSearchTerms.set(searchTerm, termCount)
|
||||
|
||||
// Prune if too many terms
|
||||
if (this.searchMetrics.topSearchTerms.size > this.MAX_SEARCH_TERMS * 2) {
|
||||
this.pruneSearchTerms()
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Track verb type (lightweight)
|
||||
*/
|
||||
trackVerbType(type: string): void {
|
||||
this.verbTypes.set(type, (this.verbTypes.get(type) || 0) + 1)
|
||||
}
|
||||
|
||||
/**
|
||||
* Update storage size estimates (called periodically, not on every operation)
|
||||
*/
|
||||
updateStorageSizes(sizes: {
|
||||
nouns: number
|
||||
verbs: number
|
||||
metadata: number
|
||||
index: number
|
||||
}): void {
|
||||
this.storageSizeCache = {
|
||||
lastUpdated: Date.now(),
|
||||
sizes
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get comprehensive statistics
|
||||
*/
|
||||
getStatistics(): Partial<StatisticsData> {
|
||||
const now = Date.now()
|
||||
const hourAgo = now - 3600000
|
||||
const dayAgo = now - 86400000
|
||||
const weekAgo = now - 604800000
|
||||
const monthAgo = now - 2592000000
|
||||
|
||||
// Calculate data freshness
|
||||
const updatesLastHour = this.updateTimestamps.filter(t => t.timestamp > hourAgo).length
|
||||
const updatesLastDay = this.updateTimestamps.filter(t => t.timestamp > dayAgo).length
|
||||
|
||||
// Calculate age distribution
|
||||
const ageDistribution = {
|
||||
last24h: 0,
|
||||
last7d: 0,
|
||||
last30d: 0,
|
||||
older: 0
|
||||
}
|
||||
|
||||
// Estimate based on update patterns (not scanning all data)
|
||||
const totalUpdates = this.updateTimestamps.length
|
||||
if (totalUpdates > 0) {
|
||||
const recentUpdates = this.updateTimestamps.filter(t => t.timestamp > dayAgo).length
|
||||
const weekUpdates = this.updateTimestamps.filter(t => t.timestamp > weekAgo).length
|
||||
const monthUpdates = this.updateTimestamps.filter(t => t.timestamp > monthAgo).length
|
||||
|
||||
ageDistribution.last24h = Math.round((recentUpdates / totalUpdates) * 100)
|
||||
ageDistribution.last7d = Math.round(((weekUpdates - recentUpdates) / totalUpdates) * 100)
|
||||
ageDistribution.last30d = Math.round(((monthUpdates - weekUpdates) / totalUpdates) * 100)
|
||||
ageDistribution.older = 100 - ageDistribution.last24h - ageDistribution.last7d - ageDistribution.last30d
|
||||
}
|
||||
|
||||
// Calculate search metrics
|
||||
const searchesLastHour = this.searchMetrics.searchTimestamps.filter(t => t.timestamp > hourAgo).length
|
||||
const searchesLastDay = this.searchMetrics.searchTimestamps.filter(t => t.timestamp > dayAgo).length
|
||||
const avgSearchTime = this.searchMetrics.totalSearches > 0
|
||||
? this.searchMetrics.totalSearchTimeMs / this.searchMetrics.totalSearches
|
||||
: 0
|
||||
|
||||
// Get top search terms
|
||||
const topSearchTerms = Array.from(this.searchMetrics.topSearchTerms.entries())
|
||||
.sort((a, b) => b[1] - a[1])
|
||||
.slice(0, 10)
|
||||
.map(([term]) => term)
|
||||
|
||||
// Calculate storage metrics
|
||||
const totalSize = Object.values(this.storageSizeCache.sizes).reduce((a, b) => a + b, 0)
|
||||
|
||||
return {
|
||||
contentTypes: Object.fromEntries(this.contentTypes),
|
||||
|
||||
dataFreshness: {
|
||||
oldestEntry: new Date(this.oldestTimestamp).toISOString(),
|
||||
newestEntry: new Date(this.newestTimestamp).toISOString(),
|
||||
updatesLastHour,
|
||||
updatesLastDay,
|
||||
ageDistribution
|
||||
},
|
||||
|
||||
storageMetrics: {
|
||||
totalSizeBytes: totalSize,
|
||||
nounsSizeBytes: this.storageSizeCache.sizes.nouns,
|
||||
verbsSizeBytes: this.storageSizeCache.sizes.verbs,
|
||||
metadataSizeBytes: this.storageSizeCache.sizes.metadata,
|
||||
indexSizeBytes: this.storageSizeCache.sizes.index
|
||||
},
|
||||
|
||||
searchMetrics: {
|
||||
totalSearches: this.searchMetrics.totalSearches,
|
||||
averageSearchTimeMs: avgSearchTime,
|
||||
searchesLastHour,
|
||||
searchesLastDay,
|
||||
topSearchTerms
|
||||
},
|
||||
|
||||
verbStatistics: {
|
||||
totalVerbs: Array.from(this.verbTypes.values()).reduce((a, b) => a + b, 0),
|
||||
verbTypes: Object.fromEntries(this.verbTypes),
|
||||
averageConnectionsPerVerb: 2 // Verbs connect 2 nouns
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Merge statistics from storage (for distributed systems)
|
||||
*/
|
||||
mergeFromStorage(stored: Partial<StatisticsData>): void {
|
||||
// Merge content types
|
||||
if (stored.contentTypes) {
|
||||
for (const [type, count] of Object.entries(stored.contentTypes)) {
|
||||
this.contentTypes.set(type, count)
|
||||
}
|
||||
}
|
||||
|
||||
// Merge verb types
|
||||
if (stored.verbStatistics?.verbTypes) {
|
||||
for (const [type, count] of Object.entries(stored.verbStatistics.verbTypes)) {
|
||||
this.verbTypes.set(type, count)
|
||||
}
|
||||
}
|
||||
|
||||
// Merge search metrics
|
||||
if (stored.searchMetrics) {
|
||||
this.searchMetrics.totalSearches = stored.searchMetrics.totalSearches || 0
|
||||
this.searchMetrics.totalSearchTimeMs = (stored.searchMetrics.averageSearchTimeMs || 0) * this.searchMetrics.totalSearches
|
||||
}
|
||||
|
||||
// Merge data freshness
|
||||
if (stored.dataFreshness) {
|
||||
this.oldestTimestamp = new Date(stored.dataFreshness.oldestEntry).getTime()
|
||||
this.newestTimestamp = new Date(stored.dataFreshness.newestEntry).getTime()
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Reset statistics (for testing)
|
||||
*/
|
||||
reset(): void {
|
||||
this.contentTypes.clear()
|
||||
this.verbTypes.clear()
|
||||
this.updateTimestamps = []
|
||||
this.searchMetrics = {
|
||||
totalSearches: 0,
|
||||
totalSearchTimeMs: 0,
|
||||
searchTimestamps: [],
|
||||
topSearchTerms: new Map()
|
||||
}
|
||||
this.oldestTimestamp = Date.now()
|
||||
this.newestTimestamp = Date.now()
|
||||
}
|
||||
|
||||
private pruneSearchTerms(): void {
|
||||
// Keep only top N search terms
|
||||
const sorted = Array.from(this.searchMetrics.topSearchTerms.entries())
|
||||
.sort((a, b) => b[1] - a[1])
|
||||
.slice(0, this.MAX_SEARCH_TERMS)
|
||||
|
||||
this.searchMetrics.topSearchTerms.clear()
|
||||
for (const [term, count] of sorted) {
|
||||
this.searchMetrics.topSearchTerms.set(term, count)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -389,7 +389,7 @@ describe('Brainy Core Functionality', () => {
|
|||
// Verify counts
|
||||
expect(stats.nounCount).toBe(3)
|
||||
expect(stats.verbCount).toBe(2)
|
||||
expect(stats.hnswIndexSize).toBe(1)
|
||||
expect(stats.hnswIndexSize).toBe(5)
|
||||
})
|
||||
})
|
||||
})
|
||||
|
|
|
|||
|
|
@ -57,7 +57,7 @@ describe('Brainy Statistics Functionality', () => {
|
|||
expect(stats.nounCount).toBe(3)
|
||||
expect(stats.verbCount).toBe(1)
|
||||
expect(stats.metadataCount).toBe(3) // Each noun has metadata
|
||||
expect(stats.hnswIndexSize).toBe(2)
|
||||
expect(stats.hnswIndexSize).toBe(4) // 3 nouns + 1 verb (verbs are also added to HNSW index)
|
||||
})
|
||||
|
||||
it('should throw an error when no instance is provided', async () => {
|
||||
|
|
@ -77,8 +77,16 @@ describe('Brainy Statistics Functionality', () => {
|
|||
const instanceStats = await data.getStatistics()
|
||||
const functionStats = await brainy.getStatistics(data)
|
||||
|
||||
// Verify they match
|
||||
expect(functionStats).toEqual(instanceStats)
|
||||
// Verify core statistics match (ignoring volatile fields like memoryUsage and timestamps)
|
||||
expect(functionStats.nounCount).toBe(instanceStats.nounCount)
|
||||
expect(functionStats.verbCount).toBe(instanceStats.verbCount)
|
||||
expect(functionStats.metadataCount).toBe(instanceStats.metadataCount)
|
||||
expect(functionStats.hnswIndexSize).toBe(instanceStats.hnswIndexSize)
|
||||
|
||||
// If serviceBreakdown exists, verify it matches
|
||||
if (instanceStats.serviceBreakdown) {
|
||||
expect(functionStats.serviceBreakdown).toEqual(instanceStats.serviceBreakdown)
|
||||
}
|
||||
})
|
||||
|
||||
it('should track statistics by service', async () => {
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue