2025-08-26 12:32:21 -07:00
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/**
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* Memory Storage Adapter
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* In-memory storage adapter for environments where persistent storage is not available or needed
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*/
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2025-10-17 12:29:27 -07:00
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import {
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GraphVerb,
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HNSWNoun,
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HNSWVerb,
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NounMetadata,
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VerbMetadata,
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HNSWNounWithMetadata,
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HNSWVerbWithMetadata,
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fix(storage): v4.8.0 metadata architecture refactoring - FIXES VFS bug
CRITICAL FIX: VFS bug that persisted through v4.5.1-v4.7.4 is NOW FIXED.
Root Cause:
- Storage adapters were not properly extracting standard fields from metadata
- This caused getVerbsBySource_internal() to return 0 relationships despite relationships existing
- VFS PathResolver couldn't navigate directory structure
Solution - Metadata Architecture Refactoring:
1. Move standard fields to top-level of HNSWNounWithMetadata and HNSWVerbWithMetadata
- type, createdAt, updatedAt, confidence, weight, service, data, createdBy
2. Update all 9 storage adapters to extract standard fields from metadata on load
3. Maintain backward compatibility at storage layer (metadata files unchanged)
Changes:
- src/coreTypes.ts: Update HNSWNounWithMetadata and HNSWVerbWithMetadata interfaces
- Add top-level standard fields
- Change data type from unknown to Record<string, any>
- Add confidence field to GraphVerb
- src/storage/baseStorage.ts: Add type cast pattern for standard field extraction
- src/storage/adapters/*.ts: Fix all 9 adapters (memoryStorage, fileSystemStorage, gcsStorage,
s3CompatibleStorage, r2Storage, opfsStorage, azureBlobStorage, typeAwareStorageAdapter)
- Extract standard fields from metadata on load
- Place at top-level of returned entities
- src/api/DataAPI.ts: Read fields from top-level instead of metadata
- src/graph/graphAdjacencyIndex.ts: Convert HNSWVerbWithMetadata to GraphVerb format
- src/utils/metadataIndex.ts: Fix typo (metadata → entityOrMetadata)
- src/types/brainy.types.ts: Add createdBy field to AddParams
- src/types/graphTypes.ts: Add service field to GraphVerb
Test Results:
✅ VFS bug FIXED - vfs.readdir('/') now returns files (was returning empty array)
✅ getVerbsBySource_internal() now returns relationships correctly
✅ Build succeeds with ZERO compilation errors
✅ 95.7% of tests pass (954/997)
Breaking Changes:
- None - backward compatibility maintained at storage layer
Version: 4.8.0
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-27 15:43:49 -07:00
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StatisticsData,
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NounType
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2025-10-17 12:29:27 -07:00
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} from '../../coreTypes.js'
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2025-10-30 08:54:04 -07:00
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import { BaseStorage, StorageBatchConfig, STATISTICS_KEY } from '../baseStorage.js'
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2025-08-26 12:32:21 -07:00
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import { PaginatedResult } from '../../types/paginationTypes.js'
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// No type aliases needed - using the original types directly
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/**
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* In-memory storage adapter
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* Uses Maps to store data in memory
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*/
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export class MemoryStorage extends BaseStorage {
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2025-11-05 17:01:44 -08:00
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// v5.4.0: Removed redundant Maps (nouns, verbs) - objectStore handles all storage via type-first paths
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2025-08-26 12:32:21 -07:00
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private statistics: StatisticsData | null = null
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2025-10-09 13:10:06 -07:00
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// Unified object store for primitive operations (replaces metadata, nounMetadata, verbMetadata)
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private objectStore: Map<string, any> = new Map()
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// Backward compatibility aliases
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private get metadata(): Map<string, any> {
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return this.objectStore
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}
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private get nounMetadata(): Map<string, any> {
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return this.objectStore
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}
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private get verbMetadata(): Map<string, any> {
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return this.objectStore
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}
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2025-08-26 12:32:21 -07:00
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constructor() {
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super()
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}
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2025-10-30 08:54:04 -07:00
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/**
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* Get Memory-optimized batch configuration
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*
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* Memory storage has no rate limits and can handle very high throughput:
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* - Large batch sizes (1000 items)
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* - No delays needed (0ms)
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* - High concurrency (1000 operations)
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* - Parallel processing maximizes throughput
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*
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* @returns Memory-optimized batch configuration
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* @since v4.11.0
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*/
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public getBatchConfig(): StorageBatchConfig {
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return {
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maxBatchSize: 1000,
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batchDelayMs: 0,
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maxConcurrent: 1000,
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supportsParallelWrites: true, // Memory loves parallel operations
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rateLimit: {
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operationsPerSecond: 100000, // Virtually unlimited
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burstCapacity: 100000
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}
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}
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}
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2025-08-26 12:32:21 -07:00
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/**
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* Initialize the storage adapter
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* Nothing to initialize for in-memory storage
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*/
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public async init(): Promise<void> {
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this.isInitialized = true
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}
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2025-11-05 17:01:44 -08:00
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// v5.4.0: Removed saveNoun_internal and getNoun_internal - using BaseStorage's type-first implementation
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2025-08-26 12:32:21 -07:00
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/**
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* Get nouns with pagination and filtering
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2025-10-17 12:29:27 -07:00
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* v4.0.0: Returns HNSWNounWithMetadata[] (includes metadata field)
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2025-08-26 12:32:21 -07:00
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* @param options Pagination and filtering options
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2025-10-17 12:29:27 -07:00
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* @returns Promise that resolves to a paginated result of nouns with metadata
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2025-08-26 12:32:21 -07:00
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*/
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2025-11-05 17:01:44 -08:00
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// v5.4.0: Removed public method overrides (getNouns, getNounsWithPagination, getVerbs) - using BaseStorage's type-first implementation
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2025-08-26 12:32:21 -07:00
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2025-11-05 17:01:44 -08:00
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// v5.4.0: Removed getNounsByNounType_internal and deleteNoun_internal - using BaseStorage's type-first implementation
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2025-08-26 12:32:21 -07:00
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2025-11-05 17:01:44 -08:00
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// v5.4.0: Removed saveVerb_internal and getVerb_internal - using BaseStorage's type-first implementation
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2025-08-26 12:32:21 -07:00
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2025-11-05 17:01:44 -08:00
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// v5.4.0: Removed verb *_internal method overrides - using BaseStorage's type-first implementation
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2025-08-26 12:32:21 -07:00
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/**
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2025-10-09 13:10:06 -07:00
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* Primitive operation: Write object to path
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* All metadata operations use this internally via base class routing
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2025-08-26 12:32:21 -07:00
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*/
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2025-10-09 13:10:06 -07:00
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protected async writeObjectToPath(path: string, data: any): Promise<void> {
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// Store in unified object store using path as key
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this.objectStore.set(path, JSON.parse(JSON.stringify(data)))
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2025-08-26 12:32:21 -07:00
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}
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/**
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2025-10-09 13:10:06 -07:00
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* Primitive operation: Read object from path
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* All metadata operations use this internally via base class routing
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2025-08-26 12:32:21 -07:00
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*/
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2025-10-09 13:10:06 -07:00
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protected async readObjectFromPath(path: string): Promise<any | null> {
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const data = this.objectStore.get(path)
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if (!data) {
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2025-08-26 12:32:21 -07:00
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return null
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}
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2025-10-09 13:10:06 -07:00
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return JSON.parse(JSON.stringify(data))
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2025-08-26 12:32:21 -07:00
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}
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/**
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2025-10-09 13:10:06 -07:00
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* Primitive operation: Delete object from path
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* All metadata operations use this internally via base class routing
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2025-08-26 12:32:21 -07:00
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*/
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2025-10-09 13:10:06 -07:00
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protected async deleteObjectFromPath(path: string): Promise<void> {
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this.objectStore.delete(path)
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2025-08-26 12:32:21 -07:00
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}
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/**
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2025-10-09 13:10:06 -07:00
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* Primitive operation: List objects under path prefix
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* All metadata operations use this internally via base class routing
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2025-08-26 12:32:21 -07:00
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*/
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2025-10-09 13:10:06 -07:00
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protected async listObjectsUnderPath(prefix: string): Promise<string[]> {
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const paths: string[] = []
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for (const key of this.objectStore.keys()) {
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if (key.startsWith(prefix)) {
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paths.push(key)
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}
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}
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2025-10-09 13:10:06 -07:00
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return paths.sort()
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2025-08-26 12:32:21 -07:00
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}
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/**
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2025-10-09 13:10:06 -07:00
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* Get multiple metadata objects in batches (CRITICAL: Prevents socket exhaustion)
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* Memory storage implementation is simple since all data is already in memory
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2025-08-26 12:32:21 -07:00
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*/
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2025-10-09 13:10:06 -07:00
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public async getMetadataBatch(ids: string[]): Promise<Map<string, any>> {
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const results = new Map<string, any>()
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2025-08-26 12:32:21 -07:00
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2025-10-09 13:10:06 -07:00
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// Memory storage can handle all IDs at once since it's in-memory
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for (const id of ids) {
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2025-10-10 16:25:51 -07:00
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// CRITICAL: Use getNounMetadata() instead of deprecated getMetadata()
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// This ensures we fetch from the correct noun metadata store (2-file system)
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const metadata = await this.getNounMetadata(id)
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2025-10-09 13:10:06 -07:00
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if (metadata) {
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results.set(id, metadata)
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}
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2025-08-26 12:32:21 -07:00
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}
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2025-10-09 13:10:06 -07:00
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return results
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2025-08-26 12:32:21 -07:00
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}
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/**
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* Clear all data from storage
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2025-11-05 17:01:44 -08:00
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* v5.4.0: Clears objectStore (type-first paths)
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2025-08-26 12:32:21 -07:00
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*/
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public async clear(): Promise<void> {
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2025-10-09 13:10:06 -07:00
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this.objectStore.clear()
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2025-08-26 12:32:21 -07:00
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this.statistics = null
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2025-11-05 17:01:44 -08:00
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this.totalNounCount = 0
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this.totalVerbCount = 0
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this.entityCounts.clear()
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this.verbCounts.clear()
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2025-10-09 13:10:06 -07:00
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2025-08-26 12:32:21 -07:00
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// Clear the statistics cache
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this.statisticsCache = null
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this.statisticsModified = false
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}
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/**
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* Get information about storage usage and capacity
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2025-11-05 17:01:44 -08:00
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* v5.4.0: Uses BaseStorage counts
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2025-08-26 12:32:21 -07:00
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*/
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public async getStorageStatus(): Promise<{
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type: string
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used: number
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quota: number | null
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details?: Record<string, any>
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}> {
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return {
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type: 'memory',
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used: 0, // In-memory storage doesn't have a meaningful size
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quota: null, // In-memory storage doesn't have a quota
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details: {
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2025-11-05 17:01:44 -08:00
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nodeCount: this.totalNounCount,
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edgeCount: this.totalVerbCount,
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objectStoreSize: this.objectStore.size
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2025-08-26 12:32:21 -07:00
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}
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}
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}
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/**
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* Save statistics data to storage
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* @param statistics The statistics data to save
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*/
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protected async saveStatisticsData(statistics: StatisticsData): Promise<void> {
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// For memory storage, we just need to store the statistics in memory
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// Create a deep copy to avoid reference issues
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this.statistics = {
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nounCount: {...statistics.nounCount},
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verbCount: {...statistics.verbCount},
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metadataCount: {...statistics.metadataCount},
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hnswIndexSize: statistics.hnswIndexSize,
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lastUpdated: statistics.lastUpdated,
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// Include serviceActivity if present
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...(statistics.serviceActivity && {
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serviceActivity: Object.fromEntries(
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Object.entries(statistics.serviceActivity).map(([k, v]) => [k, {...v}])
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)
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}),
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// Include services if present
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...(statistics.services && {
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services: statistics.services.map(s => ({...s}))
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}),
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// Include distributedConfig if present
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...(statistics.distributedConfig && {
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distributedConfig: JSON.parse(JSON.stringify(statistics.distributedConfig))
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})
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}
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// Since this is in-memory, there's no need for time-based partitioning
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// or legacy file handling
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}
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/**
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* Get statistics data from storage
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* @returns Promise that resolves to the statistics data or null if not found
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*/
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protected async getStatisticsData(): Promise<StatisticsData | null> {
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if (!this.statistics) {
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2025-10-11 09:05:16 -07:00
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// CRITICAL FIX (v3.37.4): Statistics don't exist yet (first init)
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// Return minimal stats with counts instead of null
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// This prevents HNSW from seeing entityCount=0 during index rebuild
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return {
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nounCount: {},
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verbCount: {},
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metadataCount: {},
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hnswIndexSize: 0,
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totalNodes: this.totalNounCount,
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totalEdges: this.totalVerbCount,
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totalMetadata: 0,
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lastUpdated: new Date().toISOString()
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}
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2025-08-26 12:32:21 -07:00
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}
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// Return a deep copy to avoid reference issues
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return {
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nounCount: {...this.statistics.nounCount},
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verbCount: {...this.statistics.verbCount},
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metadataCount: {...this.statistics.metadataCount},
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hnswIndexSize: this.statistics.hnswIndexSize,
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fix: populate totalNodes/totalEdges in ALL storage adapters for HNSW rebuild
Critical fix for v3.37.1 GCS persistence bug where HNSW rebuild reported
"Preloading 0 vectors" and hung indefinitely during container restarts.
Root Cause:
HNSW rebuild (hnswIndex.ts:835) calls storage.getStatistics() and expects
stats.totalNodes to determine entity count for adaptive caching. When
totalNodes was undefined, entityCount evaluated to 0, causing HNSW to
report "0 vectors" and hang waiting for entities that it couldn't find.
Fixes Applied:
- GcsStorage: Populate totalNodes/totalEdges from this.totalNounCount/totalVerbCount
- MemoryStorage: Populate totalNodes/totalEdges from in-memory counts
- OPFSStorage: Populate totalNodes/totalEdges in ALL return paths (cache, current day, yesterday, legacy)
- S3CompatibleStorage: Populate totalNodes/totalEdges in ALL return paths (cache, fresh stats, error fallback)
Impact:
- ✅ GCS container restarts now work correctly
- ✅ HNSW rebuild correctly detects entity count
- ✅ Adaptive caching strategy works as designed
- ✅ All storage adapters now consistent
Files exist in GCS, counts load correctly, but HNSW couldn't see them
because getStatisticsData() didn't populate the totalNodes field that
HNSW depends on.
Closes: BRAINY_V3_37_1_INDEX_REBUILD_BUG.md
Related: v3.37.0 (metadata reconstruction), v3.37.1 (getNoun_internal fix)
2025-10-10 17:48:40 -07:00
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// CRITICAL FIX: Populate totalNodes and totalEdges from in-memory counts
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|
|
|
// HNSW rebuild depends on these fields to determine entity count
|
|
|
|
|
totalNodes: this.totalNounCount,
|
|
|
|
|
totalEdges: this.totalVerbCount,
|
2025-08-26 12:32:21 -07:00
|
|
|
lastUpdated: this.statistics.lastUpdated,
|
|
|
|
|
// Include serviceActivity if present
|
|
|
|
|
...(this.statistics.serviceActivity && {
|
|
|
|
|
serviceActivity: Object.fromEntries(
|
|
|
|
|
Object.entries(this.statistics.serviceActivity).map(([k, v]) => [k, {...v}])
|
|
|
|
|
)
|
|
|
|
|
}),
|
|
|
|
|
// Include services if present
|
|
|
|
|
...(this.statistics.services && {
|
|
|
|
|
services: this.statistics.services.map(s => ({...s}))
|
|
|
|
|
}),
|
|
|
|
|
// Include distributedConfig if present
|
fix: populate totalNodes/totalEdges in ALL storage adapters for HNSW rebuild
Critical fix for v3.37.1 GCS persistence bug where HNSW rebuild reported
"Preloading 0 vectors" and hung indefinitely during container restarts.
Root Cause:
HNSW rebuild (hnswIndex.ts:835) calls storage.getStatistics() and expects
stats.totalNodes to determine entity count for adaptive caching. When
totalNodes was undefined, entityCount evaluated to 0, causing HNSW to
report "0 vectors" and hang waiting for entities that it couldn't find.
Fixes Applied:
- GcsStorage: Populate totalNodes/totalEdges from this.totalNounCount/totalVerbCount
- MemoryStorage: Populate totalNodes/totalEdges from in-memory counts
- OPFSStorage: Populate totalNodes/totalEdges in ALL return paths (cache, current day, yesterday, legacy)
- S3CompatibleStorage: Populate totalNodes/totalEdges in ALL return paths (cache, fresh stats, error fallback)
Impact:
- ✅ GCS container restarts now work correctly
- ✅ HNSW rebuild correctly detects entity count
- ✅ Adaptive caching strategy works as designed
- ✅ All storage adapters now consistent
Files exist in GCS, counts load correctly, but HNSW couldn't see them
because getStatisticsData() didn't populate the totalNodes field that
HNSW depends on.
Closes: BRAINY_V3_37_1_INDEX_REBUILD_BUG.md
Related: v3.37.0 (metadata reconstruction), v3.37.1 (getNoun_internal fix)
2025-10-10 17:48:40 -07:00
|
|
|
...(this.statistics.distributedConfig && {
|
|
|
|
|
distributedConfig: JSON.parse(JSON.stringify(this.statistics.distributedConfig))
|
2025-08-26 12:32:21 -07:00
|
|
|
})
|
|
|
|
|
}
|
fix: populate totalNodes/totalEdges in ALL storage adapters for HNSW rebuild
Critical fix for v3.37.1 GCS persistence bug where HNSW rebuild reported
"Preloading 0 vectors" and hung indefinitely during container restarts.
Root Cause:
HNSW rebuild (hnswIndex.ts:835) calls storage.getStatistics() and expects
stats.totalNodes to determine entity count for adaptive caching. When
totalNodes was undefined, entityCount evaluated to 0, causing HNSW to
report "0 vectors" and hang waiting for entities that it couldn't find.
Fixes Applied:
- GcsStorage: Populate totalNodes/totalEdges from this.totalNounCount/totalVerbCount
- MemoryStorage: Populate totalNodes/totalEdges from in-memory counts
- OPFSStorage: Populate totalNodes/totalEdges in ALL return paths (cache, current day, yesterday, legacy)
- S3CompatibleStorage: Populate totalNodes/totalEdges in ALL return paths (cache, fresh stats, error fallback)
Impact:
- ✅ GCS container restarts now work correctly
- ✅ HNSW rebuild correctly detects entity count
- ✅ Adaptive caching strategy works as designed
- ✅ All storage adapters now consistent
Files exist in GCS, counts load correctly, but HNSW couldn't see them
because getStatisticsData() didn't populate the totalNodes field that
HNSW depends on.
Closes: BRAINY_V3_37_1_INDEX_REBUILD_BUG.md
Related: v3.37.0 (metadata reconstruction), v3.37.1 (getNoun_internal fix)
2025-10-10 17:48:40 -07:00
|
|
|
|
2025-08-26 12:32:21 -07:00
|
|
|
// Since this is in-memory, there's no need for fallback mechanisms
|
|
|
|
|
// to check multiple storage locations
|
|
|
|
|
}
|
2025-09-22 15:45:35 -07:00
|
|
|
|
|
|
|
|
/**
|
2025-10-17 12:29:27 -07:00
|
|
|
* Initialize counts from in-memory storage - O(1) operation (v4.0.0)
|
2025-09-22 15:45:35 -07:00
|
|
|
*/
|
|
|
|
|
protected async initializeCounts(): Promise<void> {
|
2025-11-05 17:01:44 -08:00
|
|
|
// v5.4.0: Scan objectStore paths (type-first structure) to count entities
|
2025-09-22 15:45:35 -07:00
|
|
|
this.entityCounts.clear()
|
|
|
|
|
this.verbCounts.clear()
|
|
|
|
|
|
2025-11-05 17:01:44 -08:00
|
|
|
let totalNouns = 0
|
|
|
|
|
let totalVerbs = 0
|
|
|
|
|
|
|
|
|
|
// Scan all paths in objectStore
|
|
|
|
|
for (const path of this.objectStore.keys()) {
|
|
|
|
|
// Count nouns by type (entities/nouns/{type}/vectors/{shard}/{id}.json)
|
|
|
|
|
const nounMatch = path.match(/^entities\/nouns\/([^/]+)\/vectors\//)
|
|
|
|
|
if (nounMatch) {
|
|
|
|
|
const type = nounMatch[1]
|
2025-10-17 12:29:27 -07:00
|
|
|
this.entityCounts.set(type, (this.entityCounts.get(type) || 0) + 1)
|
2025-11-05 17:01:44 -08:00
|
|
|
totalNouns++
|
2025-10-17 12:29:27 -07:00
|
|
|
}
|
2025-09-22 15:45:35 -07:00
|
|
|
|
2025-11-05 17:01:44 -08:00
|
|
|
// Count verbs by type (entities/verbs/{type}/vectors/{shard}/{id}.json)
|
|
|
|
|
const verbMatch = path.match(/^entities\/verbs\/([^/]+)\/vectors\//)
|
|
|
|
|
if (verbMatch) {
|
|
|
|
|
const type = verbMatch[1]
|
2025-10-17 12:29:27 -07:00
|
|
|
this.verbCounts.set(type, (this.verbCounts.get(type) || 0) + 1)
|
2025-11-05 17:01:44 -08:00
|
|
|
totalVerbs++
|
2025-10-17 12:29:27 -07:00
|
|
|
}
|
2025-09-22 15:45:35 -07:00
|
|
|
}
|
2025-11-05 17:01:44 -08:00
|
|
|
|
|
|
|
|
this.totalNounCount = totalNouns
|
|
|
|
|
this.totalVerbCount = totalVerbs
|
2025-09-22 15:45:35 -07:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/**
|
|
|
|
|
* Persist counts to storage - no-op for memory storage
|
|
|
|
|
*/
|
|
|
|
|
protected async persistCounts(): Promise<void> {
|
|
|
|
|
// No persistence needed for in-memory storage
|
|
|
|
|
// Counts are always accurate from the live data structures
|
|
|
|
|
}
|
2025-10-10 11:15:17 -07:00
|
|
|
|
|
|
|
|
// =============================================
|
|
|
|
|
// HNSW Index Persistence (v3.35.0+)
|
|
|
|
|
// =============================================
|
|
|
|
|
|
|
|
|
|
/**
|
|
|
|
|
* Get vector for a noun
|
2025-11-05 17:01:44 -08:00
|
|
|
* v5.4.0: Uses BaseStorage's type-first implementation
|
2025-10-10 11:15:17 -07:00
|
|
|
*/
|
|
|
|
|
public async getNounVector(id: string): Promise<number[] | null> {
|
2025-11-05 17:01:44 -08:00
|
|
|
const noun = await this.getNoun(id)
|
2025-10-10 11:15:17 -07:00
|
|
|
return noun ? [...noun.vector] : null
|
|
|
|
|
}
|
|
|
|
|
|
fix: resolve HNSW concurrency race condition across all storage adapters
Fixes critical P0 bug causing data corruption during bulk imports with 50+ concurrent operations. The non-atomic read-modify-write pattern in saveHNSWData() combined with fire-and-forget neighbor updates was causing 16-32 concurrent writes per entity, resulting in lost HNSW connections and corrupted graph structure.
**Root Cause:**
- saveHNSWData() used non-atomic read-modify-write
- HNSW neighbor updates fired without await (16-32 concurrent writes/entity)
- Popular nodes became hotspots (100 concurrent imports = 3,400 concurrent saveHNSWData calls)
- Result: Lost neighbor connections, 0 search results
**Atomic Write Strategies by Adapter:**
FileSystemStorage:
- Atomic rename with temp files
- Write to {file}.tmp.{timestamp}.{random}
- POSIX-guaranteed atomic rename(temp, final)
GCSStorage:
- Optimistic locking with generation numbers
- preconditionOpts: { ifGenerationMatch }
- 5 retries with exponential backoff (50ms→800ms)
S3/R2/AzureStorage:
- ETag-based optimistic locking
- IfMatch/conditions preconditions
- 5 retries with exponential backoff
MemoryStorage + OPFSStorage:
- Mutex locks per entity path
- Serializes async operations even in single-threaded environments
HNSW Index:
- Changed fire-and-forget .catch() to await
- Serializes 16-32 neighbor updates per entity
- Trade-off: 20-30% slower bulk import vs 100% data integrity
**Sharding Compatibility:**
- ✅ Works with deterministic UUID sharding (256 shards, always on)
- ✅ Works with distributed multi-node sharding (optional)
- ✅ All atomic strategies work in both single-node and distributed deployments
**Index Impact:**
- Only HNSW index modified (saveHNSWData, saveHNSWSystem)
- Other 4 indexes unaffected (Metadata, Graph Adjacency, Deleted Items, Entity ID Mapper)
- No regression risk - isolated code paths
**Testing:**
- 8/8 unit tests passing (real concurrent operations, no mocks)
- Tests verify data integrity after 20 concurrent updates
- Tests verify temp file cleanup and mutex serialization
**Files Modified:**
- All 8 storage adapters (FileSystem, GCS, S3, R2, Azure, Memory, OPFS)
- HNSW Index (neighbor update serialization)
- New test: tests/unit/storage/hnswConcurrency.test.ts (8 passing tests)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-29 15:24:20 -07:00
|
|
|
// CRITICAL FIX (v4.10.1): Mutex locks for HNSW concurrency control
|
|
|
|
|
// Even in-memory operations need serialization to prevent async race conditions
|
|
|
|
|
private hnswLocks = new Map<string, Promise<void>>()
|
|
|
|
|
|
2025-10-10 11:15:17 -07:00
|
|
|
/**
|
|
|
|
|
* Save HNSW graph data for a noun
|
fix: resolve HNSW concurrency race condition across all storage adapters
Fixes critical P0 bug causing data corruption during bulk imports with 50+ concurrent operations. The non-atomic read-modify-write pattern in saveHNSWData() combined with fire-and-forget neighbor updates was causing 16-32 concurrent writes per entity, resulting in lost HNSW connections and corrupted graph structure.
**Root Cause:**
- saveHNSWData() used non-atomic read-modify-write
- HNSW neighbor updates fired without await (16-32 concurrent writes/entity)
- Popular nodes became hotspots (100 concurrent imports = 3,400 concurrent saveHNSWData calls)
- Result: Lost neighbor connections, 0 search results
**Atomic Write Strategies by Adapter:**
FileSystemStorage:
- Atomic rename with temp files
- Write to {file}.tmp.{timestamp}.{random}
- POSIX-guaranteed atomic rename(temp, final)
GCSStorage:
- Optimistic locking with generation numbers
- preconditionOpts: { ifGenerationMatch }
- 5 retries with exponential backoff (50ms→800ms)
S3/R2/AzureStorage:
- ETag-based optimistic locking
- IfMatch/conditions preconditions
- 5 retries with exponential backoff
MemoryStorage + OPFSStorage:
- Mutex locks per entity path
- Serializes async operations even in single-threaded environments
HNSW Index:
- Changed fire-and-forget .catch() to await
- Serializes 16-32 neighbor updates per entity
- Trade-off: 20-30% slower bulk import vs 100% data integrity
**Sharding Compatibility:**
- ✅ Works with deterministic UUID sharding (256 shards, always on)
- ✅ Works with distributed multi-node sharding (optional)
- ✅ All atomic strategies work in both single-node and distributed deployments
**Index Impact:**
- Only HNSW index modified (saveHNSWData, saveHNSWSystem)
- Other 4 indexes unaffected (Metadata, Graph Adjacency, Deleted Items, Entity ID Mapper)
- No regression risk - isolated code paths
**Testing:**
- 8/8 unit tests passing (real concurrent operations, no mocks)
- Tests verify data integrity after 20 concurrent updates
- Tests verify temp file cleanup and mutex serialization
**Files Modified:**
- All 8 storage adapters (FileSystem, GCS, S3, R2, Azure, Memory, OPFS)
- HNSW Index (neighbor update serialization)
- New test: tests/unit/storage/hnswConcurrency.test.ts (8 passing tests)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-29 15:24:20 -07:00
|
|
|
*
|
|
|
|
|
* CRITICAL FIX (v4.10.1): Mutex locking to prevent race conditions during concurrent HNSW updates
|
|
|
|
|
* Even in-memory operations can race due to async/await interleaving
|
|
|
|
|
* Prevents data corruption when multiple entities connect to same neighbor simultaneously
|
2025-10-10 11:15:17 -07:00
|
|
|
*/
|
|
|
|
|
public async saveHNSWData(nounId: string, hnswData: {
|
|
|
|
|
level: number
|
|
|
|
|
connections: Record<string, string[]>
|
|
|
|
|
}): Promise<void> {
|
|
|
|
|
const path = `hnsw/${nounId}.json`
|
fix: resolve HNSW concurrency race condition across all storage adapters
Fixes critical P0 bug causing data corruption during bulk imports with 50+ concurrent operations. The non-atomic read-modify-write pattern in saveHNSWData() combined with fire-and-forget neighbor updates was causing 16-32 concurrent writes per entity, resulting in lost HNSW connections and corrupted graph structure.
**Root Cause:**
- saveHNSWData() used non-atomic read-modify-write
- HNSW neighbor updates fired without await (16-32 concurrent writes/entity)
- Popular nodes became hotspots (100 concurrent imports = 3,400 concurrent saveHNSWData calls)
- Result: Lost neighbor connections, 0 search results
**Atomic Write Strategies by Adapter:**
FileSystemStorage:
- Atomic rename with temp files
- Write to {file}.tmp.{timestamp}.{random}
- POSIX-guaranteed atomic rename(temp, final)
GCSStorage:
- Optimistic locking with generation numbers
- preconditionOpts: { ifGenerationMatch }
- 5 retries with exponential backoff (50ms→800ms)
S3/R2/AzureStorage:
- ETag-based optimistic locking
- IfMatch/conditions preconditions
- 5 retries with exponential backoff
MemoryStorage + OPFSStorage:
- Mutex locks per entity path
- Serializes async operations even in single-threaded environments
HNSW Index:
- Changed fire-and-forget .catch() to await
- Serializes 16-32 neighbor updates per entity
- Trade-off: 20-30% slower bulk import vs 100% data integrity
**Sharding Compatibility:**
- ✅ Works with deterministic UUID sharding (256 shards, always on)
- ✅ Works with distributed multi-node sharding (optional)
- ✅ All atomic strategies work in both single-node and distributed deployments
**Index Impact:**
- Only HNSW index modified (saveHNSWData, saveHNSWSystem)
- Other 4 indexes unaffected (Metadata, Graph Adjacency, Deleted Items, Entity ID Mapper)
- No regression risk - isolated code paths
**Testing:**
- 8/8 unit tests passing (real concurrent operations, no mocks)
- Tests verify data integrity after 20 concurrent updates
- Tests verify temp file cleanup and mutex serialization
**Files Modified:**
- All 8 storage adapters (FileSystem, GCS, S3, R2, Azure, Memory, OPFS)
- HNSW Index (neighbor update serialization)
- New test: tests/unit/storage/hnswConcurrency.test.ts (8 passing tests)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-29 15:24:20 -07:00
|
|
|
|
|
|
|
|
// MUTEX LOCK: Wait for any pending operations on this entity
|
|
|
|
|
while (this.hnswLocks.has(path)) {
|
|
|
|
|
await this.hnswLocks.get(path)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Acquire lock by creating a promise that we'll resolve when done
|
|
|
|
|
let releaseLock!: () => void
|
|
|
|
|
const lockPromise = new Promise<void>(resolve => { releaseLock = resolve })
|
|
|
|
|
this.hnswLocks.set(path, lockPromise)
|
|
|
|
|
|
|
|
|
|
try {
|
|
|
|
|
// Read existing data (if exists)
|
|
|
|
|
let existingNode: any = {}
|
|
|
|
|
const existing = this.objectStore.get(path)
|
|
|
|
|
if (existing) {
|
|
|
|
|
existingNode = existing
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Preserve id and vector, update only HNSW graph metadata
|
|
|
|
|
const updatedNode = {
|
|
|
|
|
...existingNode, // Preserve all existing fields
|
|
|
|
|
level: hnswData.level,
|
|
|
|
|
connections: hnswData.connections
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Write atomically (in-memory, but now serialized by mutex)
|
|
|
|
|
this.objectStore.set(path, JSON.parse(JSON.stringify(updatedNode)))
|
|
|
|
|
} finally {
|
|
|
|
|
// Release lock
|
|
|
|
|
this.hnswLocks.delete(path)
|
|
|
|
|
releaseLock()
|
|
|
|
|
}
|
2025-10-10 11:15:17 -07:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/**
|
|
|
|
|
* Get HNSW graph data for a noun
|
|
|
|
|
*/
|
|
|
|
|
public async getHNSWData(nounId: string): Promise<{
|
|
|
|
|
level: number
|
|
|
|
|
connections: Record<string, string[]>
|
|
|
|
|
} | null> {
|
|
|
|
|
const path = `hnsw/${nounId}.json`
|
|
|
|
|
const data = await this.readObjectFromPath(path)
|
|
|
|
|
return data || null
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/**
|
|
|
|
|
* Save HNSW system data (entry point, max level)
|
fix: resolve HNSW concurrency race condition across all storage adapters
Fixes critical P0 bug causing data corruption during bulk imports with 50+ concurrent operations. The non-atomic read-modify-write pattern in saveHNSWData() combined with fire-and-forget neighbor updates was causing 16-32 concurrent writes per entity, resulting in lost HNSW connections and corrupted graph structure.
**Root Cause:**
- saveHNSWData() used non-atomic read-modify-write
- HNSW neighbor updates fired without await (16-32 concurrent writes/entity)
- Popular nodes became hotspots (100 concurrent imports = 3,400 concurrent saveHNSWData calls)
- Result: Lost neighbor connections, 0 search results
**Atomic Write Strategies by Adapter:**
FileSystemStorage:
- Atomic rename with temp files
- Write to {file}.tmp.{timestamp}.{random}
- POSIX-guaranteed atomic rename(temp, final)
GCSStorage:
- Optimistic locking with generation numbers
- preconditionOpts: { ifGenerationMatch }
- 5 retries with exponential backoff (50ms→800ms)
S3/R2/AzureStorage:
- ETag-based optimistic locking
- IfMatch/conditions preconditions
- 5 retries with exponential backoff
MemoryStorage + OPFSStorage:
- Mutex locks per entity path
- Serializes async operations even in single-threaded environments
HNSW Index:
- Changed fire-and-forget .catch() to await
- Serializes 16-32 neighbor updates per entity
- Trade-off: 20-30% slower bulk import vs 100% data integrity
**Sharding Compatibility:**
- ✅ Works with deterministic UUID sharding (256 shards, always on)
- ✅ Works with distributed multi-node sharding (optional)
- ✅ All atomic strategies work in both single-node and distributed deployments
**Index Impact:**
- Only HNSW index modified (saveHNSWData, saveHNSWSystem)
- Other 4 indexes unaffected (Metadata, Graph Adjacency, Deleted Items, Entity ID Mapper)
- No regression risk - isolated code paths
**Testing:**
- 8/8 unit tests passing (real concurrent operations, no mocks)
- Tests verify data integrity after 20 concurrent updates
- Tests verify temp file cleanup and mutex serialization
**Files Modified:**
- All 8 storage adapters (FileSystem, GCS, S3, R2, Azure, Memory, OPFS)
- HNSW Index (neighbor update serialization)
- New test: tests/unit/storage/hnswConcurrency.test.ts (8 passing tests)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-29 15:24:20 -07:00
|
|
|
*
|
|
|
|
|
* CRITICAL FIX (v4.10.1): Mutex locking to prevent race conditions
|
2025-10-10 11:15:17 -07:00
|
|
|
*/
|
|
|
|
|
public async saveHNSWSystem(systemData: {
|
|
|
|
|
entryPointId: string | null
|
|
|
|
|
maxLevel: number
|
|
|
|
|
}): Promise<void> {
|
|
|
|
|
const path = 'system/hnsw-system.json'
|
fix: resolve HNSW concurrency race condition across all storage adapters
Fixes critical P0 bug causing data corruption during bulk imports with 50+ concurrent operations. The non-atomic read-modify-write pattern in saveHNSWData() combined with fire-and-forget neighbor updates was causing 16-32 concurrent writes per entity, resulting in lost HNSW connections and corrupted graph structure.
**Root Cause:**
- saveHNSWData() used non-atomic read-modify-write
- HNSW neighbor updates fired without await (16-32 concurrent writes/entity)
- Popular nodes became hotspots (100 concurrent imports = 3,400 concurrent saveHNSWData calls)
- Result: Lost neighbor connections, 0 search results
**Atomic Write Strategies by Adapter:**
FileSystemStorage:
- Atomic rename with temp files
- Write to {file}.tmp.{timestamp}.{random}
- POSIX-guaranteed atomic rename(temp, final)
GCSStorage:
- Optimistic locking with generation numbers
- preconditionOpts: { ifGenerationMatch }
- 5 retries with exponential backoff (50ms→800ms)
S3/R2/AzureStorage:
- ETag-based optimistic locking
- IfMatch/conditions preconditions
- 5 retries with exponential backoff
MemoryStorage + OPFSStorage:
- Mutex locks per entity path
- Serializes async operations even in single-threaded environments
HNSW Index:
- Changed fire-and-forget .catch() to await
- Serializes 16-32 neighbor updates per entity
- Trade-off: 20-30% slower bulk import vs 100% data integrity
**Sharding Compatibility:**
- ✅ Works with deterministic UUID sharding (256 shards, always on)
- ✅ Works with distributed multi-node sharding (optional)
- ✅ All atomic strategies work in both single-node and distributed deployments
**Index Impact:**
- Only HNSW index modified (saveHNSWData, saveHNSWSystem)
- Other 4 indexes unaffected (Metadata, Graph Adjacency, Deleted Items, Entity ID Mapper)
- No regression risk - isolated code paths
**Testing:**
- 8/8 unit tests passing (real concurrent operations, no mocks)
- Tests verify data integrity after 20 concurrent updates
- Tests verify temp file cleanup and mutex serialization
**Files Modified:**
- All 8 storage adapters (FileSystem, GCS, S3, R2, Azure, Memory, OPFS)
- HNSW Index (neighbor update serialization)
- New test: tests/unit/storage/hnswConcurrency.test.ts (8 passing tests)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-29 15:24:20 -07:00
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// MUTEX LOCK: Wait for any pending operations
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while (this.hnswLocks.has(path)) {
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await this.hnswLocks.get(path)
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}
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// Acquire lock
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let releaseLock!: () => void
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const lockPromise = new Promise<void>(resolve => { releaseLock = resolve })
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this.hnswLocks.set(path, lockPromise)
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try {
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// Write atomically (serialized by mutex)
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this.objectStore.set(path, JSON.parse(JSON.stringify(systemData)))
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} finally {
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// Release lock
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this.hnswLocks.delete(path)
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releaseLock()
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}
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2025-10-10 11:15:17 -07:00
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}
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/**
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* Get HNSW system data
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*/
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public async getHNSWSystem(): Promise<{
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entryPointId: string | null
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maxLevel: number
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} | null> {
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const path = 'system/hnsw-system.json'
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const data = await this.readObjectFromPath(path)
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return data || null
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}
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2025-08-26 12:32:21 -07:00
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}
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