brainy/src/storage/adapters/gcsStorage.ts

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/**
* Google Cloud Storage Adapter (Native)
* Uses the native @google-cloud/storage library for optimal performance and authentication
*
* Supports multiple authentication methods:
* 1. Application Default Credentials (ADC) - Automatic in Cloud Run/GCE
* 2. Service Account Key File
* 3. Service Account Credentials Object
* 4. HMAC Keys (fallback for backward compatibility)
*/
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
import {
GraphVerb,
HNSWNoun,
HNSWVerb,
NounMetadata,
VerbMetadata,
HNSWNounWithMetadata,
HNSWVerbWithMetadata,
StatisticsData
} from '../../coreTypes.js'
import {
BaseStorage,
NOUNS_DIR,
VERBS_DIR,
METADATA_DIR,
INDEX_DIR,
SYSTEM_DIR,
STATISTICS_KEY,
getDirectoryPath
} from '../baseStorage.js'
import { BrainyError } from '../../errors/brainyError.js'
import { CacheManager } from '../cacheManager.js'
import { createModuleLogger, prodLog } from '../../utils/logger.js'
import { getGlobalSocketManager } from '../../utils/adaptiveSocketManager.js'
import { getGlobalBackpressure } from '../../utils/adaptiveBackpressure.js'
import { getWriteBuffer, WriteBuffer } from '../../utils/writeBuffer.js'
import { getCoalescer, RequestCoalescer } from '../../utils/requestCoalescer.js'
import { getShardIdFromUuid, getAllShardIds, getShardIdByIndex, TOTAL_SHARDS } from '../sharding.js'
// Type aliases for better readability
type HNSWNode = HNSWNoun
type Edge = HNSWVerb
// GCS client types - dynamically imported to avoid issues in browser environments
type Storage = any
type Bucket = any
type File = any
// GCS API limits
// Maximum value for maxResults parameter in GCS API calls
// Values above this cause "Invalid unsigned integer" errors
const MAX_GCS_PAGE_SIZE = 5000
/**
* Native Google Cloud Storage adapter for server environments
* Uses the @google-cloud/storage library with Application Default Credentials
*
* Authentication priority:
* 1. Application Default Credentials (if no credentials provided)
* 2. Service Account Key File (if keyFilename provided)
* 3. Service Account Credentials Object (if credentials provided)
* 4. HMAC Keys (if accessKeyId/secretAccessKey provided)
*/
export class GcsStorage extends BaseStorage {
private storage: Storage | null = null
private bucket: Bucket | null = null
private bucketName: string
private keyFilename?: string
private credentials?: object
private accessKeyId?: string
private secretAccessKey?: string
// Prefixes for different types of data
private nounPrefix: string
private verbPrefix: string
private metadataPrefix: string // Noun metadata
private verbMetadataPrefix: string // Verb metadata
private systemPrefix: string // System data (_system)
// Statistics caching for better performance
protected statisticsCache: StatisticsData | null = null
// Backpressure and performance management
private pendingOperations: number = 0
private maxConcurrentOperations: number = 100
private baseBatchSize: number = 10
private currentBatchSize: number = 10
private lastMemoryCheck: number = 0
private memoryCheckInterval: number = 5000 // Check every 5 seconds
private consecutiveErrors: number = 0
private lastErrorReset: number = Date.now()
// Adaptive backpressure for automatic flow control
private backpressure = getGlobalBackpressure()
// Write buffers for bulk operations
private nounWriteBuffer: WriteBuffer<HNSWNode> | null = null
private verbWriteBuffer: WriteBuffer<Edge> | null = null
// Request coalescer for deduplication
private requestCoalescer: RequestCoalescer | null = null
// High-volume mode detection - MUCH more aggressive
private highVolumeMode = false
private lastVolumeCheck = 0
private volumeCheckInterval = 1000 // Check every second, not 5
private forceHighVolumeMode = false // Environment variable override
// Multi-level cache manager for efficient data access
private nounCacheManager: CacheManager<HNSWNode>
private verbCacheManager: CacheManager<Edge>
// Module logger
private logger = createModuleLogger('GcsStorage')
/**
* Initialize the storage adapter
* @param options Configuration options for Google Cloud Storage
*/
constructor(options: {
bucketName: string
// Service account authentication
keyFilename?: string
credentials?: object
// HMAC authentication (backward compatibility)
accessKeyId?: string
secretAccessKey?: string
// Cache and operation configuration
cacheConfig?: {
hotCacheMaxSize?: number
hotCacheEvictionThreshold?: number
warmCacheTTL?: number
}
readOnly?: boolean
}) {
super()
this.bucketName = options.bucketName
this.keyFilename = options.keyFilename
this.credentials = options.credentials
this.accessKeyId = options.accessKeyId
this.secretAccessKey = options.secretAccessKey
this.readOnly = options.readOnly || false
// Set up prefixes for different types of data using entity-based structure
this.nounPrefix = `${getDirectoryPath('noun', 'vector')}/`
this.verbPrefix = `${getDirectoryPath('verb', 'vector')}/`
this.metadataPrefix = `${getDirectoryPath('noun', 'metadata')}/` // Noun metadata
this.verbMetadataPrefix = `${getDirectoryPath('verb', 'metadata')}/` // Verb metadata
this.systemPrefix = `${SYSTEM_DIR}/` // System data
// Initialize cache managers
this.nounCacheManager = new CacheManager<HNSWNode>(options.cacheConfig)
this.verbCacheManager = new CacheManager<Edge>(options.cacheConfig)
// Check for high-volume mode override
if (typeof process !== 'undefined' && process.env?.BRAINY_FORCE_HIGH_VOLUME === 'true') {
this.forceHighVolumeMode = true
this.highVolumeMode = true
prodLog.info('🚀 High-volume mode FORCED via BRAINY_FORCE_HIGH_VOLUME environment variable')
}
}
/**
* Initialize the storage adapter
*/
public async init(): Promise<void> {
if (this.isInitialized) {
return
}
try {
// Import Google Cloud Storage SDK only when needed
const { Storage } = await import('@google-cloud/storage')
// Configure the GCS client based on available credentials
const clientConfig: any = {}
// Priority 1: Service Account Key File
if (this.keyFilename) {
clientConfig.keyFilename = this.keyFilename
prodLog.info('🔐 GCS: Using Service Account Key File')
}
// Priority 2: Service Account Credentials Object
else if (this.credentials) {
clientConfig.credentials = this.credentials
prodLog.info('🔐 GCS: Using Service Account Credentials')
}
// Priority 3: HMAC Keys (S3 compatibility)
else if (this.accessKeyId && this.secretAccessKey) {
clientConfig.credentials = {
client_email: 'hmac-user@example.com',
private_key: this.secretAccessKey
}
prodLog.warn('⚠️ GCS: Using HMAC keys (consider migrating to ADC)')
}
// Priority 4: Application Default Credentials (default)
else {
// No credentials needed - ADC will be used automatically
prodLog.info('🔐 GCS: Using Application Default Credentials (ADC)')
}
// Create the GCS client
this.storage = new Storage(clientConfig)
// Get reference to the bucket
this.bucket = this.storage.bucket(this.bucketName)
// Verify bucket exists and is accessible
const [exists] = await this.bucket.exists()
if (!exists) {
throw new Error(`Bucket ${this.bucketName} does not exist or is not accessible`)
}
prodLog.info(`✅ Connected to GCS bucket: ${this.bucketName}`)
// Initialize write buffers for high-volume mode
const storageId = `gcs-${this.bucketName}`
this.nounWriteBuffer = getWriteBuffer<HNSWNode>(
`${storageId}-nouns`,
'noun',
async (items) => {
await this.flushNounBuffer(items)
}
)
this.verbWriteBuffer = getWriteBuffer<Edge>(
`${storageId}-verbs`,
'verb',
async (items) => {
await this.flushVerbBuffer(items)
}
)
// Initialize request coalescer for deduplication
this.requestCoalescer = getCoalescer(
storageId,
async (batch) => {
// Process coalesced operations (placeholder for future optimization)
this.logger.trace(`Processing coalesced batch: ${batch.length} items`)
}
)
// Initialize counts from storage
await this.initializeCounts()
fix: resolve cache poisoning causing silent failures on container restart Root Cause: Cache Poisoning - getNode() checked cache BEFORE any v3.37.6 logging (early return) - Cache likely contained null values from previous failed attempts - Early return skipped ALL diagnostic logging (100% silent failure) Direct GCS SDK Test Proved Files Exist: - Same files, credentials, paths work perfectly with direct @google-cloud/storage calls - Files exist in GCS with valid JSON (manually verified) - Brainy's getNode() returned null with NO logs - This confirmed the bug was in Brainy's caching logic, not GCS Fixes Applied to Both GCS and S3 Storage Adapters: 1. Cache Check Logging (Reveal Poisoning): - Log cache state BEFORE returning cached value - Show if cache contains null, undefined, or valid object - Helps diagnose what's being cached 2. Never Cache Null Values: - Only return cached value if it's valid (not null/undefined) - Only cache nodes after successful load with validation - Never cache null results from 404 errors - Explicit logging when NOT caching invalid nodes 3. Clear Cache on Init (Fresh Start): - Clear all cache entries during storage initialization - Ensures containers start with fresh cache (no stale nulls) - Prevents cache poisoning from persisting across restarts Expected Outcome: - Container restart will now successfully load entities from storage - Cache poisoning cannot cause silent failures - Comprehensive logging will reveal any remaining issues - Same fix benefits both GCS and S3 users
2025-10-13 08:32:36 -07:00
// CRITICAL FIX (v3.37.7): Clear any stale cache entries from previous runs
// This prevents cache poisoning from causing silent failures on container restart
prodLog.info('🧹 Clearing cache from previous run to prevent cache poisoning')
this.nounCacheManager.clear()
this.verbCacheManager.clear()
prodLog.info('✅ Cache cleared - starting fresh')
this.isInitialized = true
} catch (error) {
this.logger.error('Failed to initialize GCS storage:', error)
throw new Error(`Failed to initialize GCS storage: ${error}`)
}
}
/**
* Get the GCS object key for a noun using UUID-based sharding
*
* Uses first 2 hex characters of UUID for consistent sharding.
* Path format: entities/nouns/vectors/{shardId}/{uuid}.json
*
* @example
* getNounKey('ab123456-1234-5678-9abc-def012345678')
* // returns 'entities/nouns/vectors/ab/ab123456-1234-5678-9abc-def012345678.json'
*/
private getNounKey(id: string): string {
const shardId = getShardIdFromUuid(id)
return `${this.nounPrefix}${shardId}/${id}.json`
}
/**
* Get the GCS object key for a verb using UUID-based sharding
*
* Uses first 2 hex characters of UUID for consistent sharding.
* Path format: entities/verbs/vectors/{shardId}/{uuid}.json
*
* @example
* getVerbKey('cd987654-4321-8765-cba9-fed543210987')
* // returns 'entities/verbs/vectors/cd/cd987654-4321-8765-cba9-fed543210987.json'
*/
private getVerbKey(id: string): string {
const shardId = getShardIdFromUuid(id)
return `${this.verbPrefix}${shardId}/${id}.json`
}
/**
* Override base class method to detect GCS-specific throttling errors
*/
protected isThrottlingError(error: any): boolean {
// First check base class detection
if (super.isThrottlingError(error)) {
return true
}
// GCS-specific throttling detection
const statusCode = error.code
const message = error.message?.toLowerCase() || ''
return (
statusCode === 429 || // Too Many Requests
statusCode === 503 || // Service Unavailable
statusCode === 'RATE_LIMIT_EXCEEDED' ||
message.includes('quota') ||
message.includes('rate limit') ||
message.includes('too many requests')
)
}
/**
* Override base class to enable smart batching for cloud storage (v3.32.3+)
*
* GCS is cloud storage with network latency (~50ms per write).
* Smart batching reduces writes from 1000 ops 100 batches.
*
* @returns true (GCS is cloud storage)
*/
protected isCloudStorage(): boolean {
return true // GCS benefits from batching
}
/**
* Apply backpressure before starting an operation
* @returns Request ID for tracking
*/
private async applyBackpressure(): Promise<string> {
const requestId = `${Date.now()}-${Math.random().toString(36).substr(2, 9)}`
await this.backpressure.requestPermission(requestId, 1)
this.pendingOperations++
return requestId
}
/**
* Release backpressure after completing an operation
* @param success Whether the operation succeeded
* @param requestId Request ID from applyBackpressure()
*/
private releaseBackpressure(success: boolean = true, requestId?: string): void {
this.pendingOperations = Math.max(0, this.pendingOperations - 1)
if (requestId) {
this.backpressure.releasePermission(requestId, success)
}
}
/**
* Check if high-volume mode should be enabled
*/
private checkVolumeMode(): void {
if (this.forceHighVolumeMode) {
return // Already forced on
}
const now = Date.now()
if (now - this.lastVolumeCheck < this.volumeCheckInterval) {
return
}
this.lastVolumeCheck = now
// Enable high-volume mode if we have many pending operations
const shouldEnable = this.pendingOperations > 20
if (shouldEnable && !this.highVolumeMode) {
this.highVolumeMode = true
prodLog.info('🚀 High-volume mode ENABLED (pending operations:', this.pendingOperations, ')')
} else if (!shouldEnable && this.highVolumeMode && !this.forceHighVolumeMode) {
this.highVolumeMode = false
prodLog.info('🐌 High-volume mode DISABLED (pending operations:', this.pendingOperations, ')')
}
}
/**
* Flush noun buffer to GCS
*/
private async flushNounBuffer(items: Map<string, HNSWNode>): Promise<void> {
const writes = Array.from(items.values()).map(async (noun) => {
try {
await this.saveNodeDirect(noun)
} catch (error) {
this.logger.error(`Failed to flush noun ${noun.id}:`, error)
}
})
await Promise.all(writes)
}
/**
* Flush verb buffer to GCS
*/
private async flushVerbBuffer(items: Map<string, Edge>): Promise<void> {
const writes = Array.from(items.values()).map(async (verb) => {
try {
await this.saveEdgeDirect(verb)
} catch (error) {
this.logger.error(`Failed to flush verb ${verb.id}:`, error)
}
})
await Promise.all(writes)
}
/**
* Save a noun to storage (internal implementation)
*/
protected async saveNoun_internal(noun: HNSWNoun): Promise<void> {
return this.saveNode(noun)
}
/**
* Save a node to storage
*/
protected async saveNode(node: HNSWNode): Promise<void> {
await this.ensureInitialized()
// ALWAYS check if we should use high-volume mode (critical for detection)
this.checkVolumeMode()
// Use write buffer in high-volume mode
if (this.highVolumeMode && this.nounWriteBuffer) {
this.logger.trace(`📝 BUFFERING: Adding noun ${node.id} to write buffer (high-volume mode active)`)
await this.nounWriteBuffer.add(node.id, node)
return
} else if (!this.highVolumeMode) {
this.logger.trace(`📝 DIRECT WRITE: Saving noun ${node.id} directly (high-volume mode inactive)`)
}
// Direct write in normal mode
await this.saveNodeDirect(node)
}
/**
* Save a node directly to GCS (bypass buffer)
*/
private async saveNodeDirect(node: HNSWNode): Promise<void> {
// Apply backpressure before starting operation
const requestId = await this.applyBackpressure()
try {
this.logger.trace(`Saving node ${node.id}`)
// Convert connections Map to a serializable format
// CRITICAL: Only save lightweight vector data (no metadata)
// Metadata is saved separately via saveNounMetadata() (2-file system)
const serializableNode = {
id: node.id,
vector: node.vector,
connections: Object.fromEntries(
Array.from(node.connections.entries()).map(([level, nounIds]) => [
level,
Array.from(nounIds)
])
),
level: node.level || 0
// NO metadata field - saved separately for scalability
}
// Get the GCS key with UUID-based sharding
const key = this.getNounKey(node.id)
// Save to GCS
const file = this.bucket!.file(key)
await file.save(JSON.stringify(serializableNode, null, 2), {
contentType: 'application/json',
resumable: false // For small objects, non-resumable is faster
})
// CRITICAL FIX (v3.37.8): Only cache nodes with non-empty vectors
// This prevents cache pollution from HNSW's lazy-loading nodes (vector: [])
if (node.vector && Array.isArray(node.vector) && node.vector.length > 0) {
this.nounCacheManager.set(node.id, node)
}
// Note: Empty vectors are intentional during HNSW lazy mode - not logged
// Increment noun count
const metadata = await this.getNounMetadata(node.id)
if (metadata && metadata.type) {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
await this.incrementEntityCountSafe(metadata.type as string)
}
this.logger.trace(`Node ${node.id} saved successfully`)
this.releaseBackpressure(true, requestId)
} catch (error: any) {
this.releaseBackpressure(false, requestId)
// Handle throttling
if (this.isThrottlingError(error)) {
await this.handleThrottling(error)
throw error // Re-throw for retry at higher level
}
this.logger.error(`Failed to save node ${node.id}:`, error)
throw new Error(`Failed to save node ${node.id}: ${error}`)
}
}
/**
* Get a noun from storage (internal implementation)
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
* v4.0.0: Returns ONLY vector data (no metadata field)
* Base class combines with metadata via getNoun() -> HNSWNounWithMetadata
*/
protected async getNoun_internal(id: string): Promise<HNSWNoun | null> {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// v4.0.0: Return ONLY vector data (no metadata field)
const node = await this.getNode(id)
if (!node) {
return null
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// Return pure vector structure
return node
}
/**
* Get a node from storage
*/
protected async getNode(id: string): Promise<HNSWNode | null> {
await this.ensureInitialized()
// Check cache first
const cached: HNSWNode | null = await this.nounCacheManager.get(id)
fix: resolve cache poisoning causing silent failures on container restart Root Cause: Cache Poisoning - getNode() checked cache BEFORE any v3.37.6 logging (early return) - Cache likely contained null values from previous failed attempts - Early return skipped ALL diagnostic logging (100% silent failure) Direct GCS SDK Test Proved Files Exist: - Same files, credentials, paths work perfectly with direct @google-cloud/storage calls - Files exist in GCS with valid JSON (manually verified) - Brainy's getNode() returned null with NO logs - This confirmed the bug was in Brainy's caching logic, not GCS Fixes Applied to Both GCS and S3 Storage Adapters: 1. Cache Check Logging (Reveal Poisoning): - Log cache state BEFORE returning cached value - Show if cache contains null, undefined, or valid object - Helps diagnose what's being cached 2. Never Cache Null Values: - Only return cached value if it's valid (not null/undefined) - Only cache nodes after successful load with validation - Never cache null results from 404 errors - Explicit logging when NOT caching invalid nodes 3. Clear Cache on Init (Fresh Start): - Clear all cache entries during storage initialization - Ensures containers start with fresh cache (no stale nulls) - Prevents cache poisoning from persisting across restarts Expected Outcome: - Container restart will now successfully load entities from storage - Cache poisoning cannot cause silent failures - Comprehensive logging will reveal any remaining issues - Same fix benefits both GCS and S3 users
2025-10-13 08:32:36 -07:00
// Validate cached object before returning (v3.37.8+)
fix: resolve cache poisoning causing silent failures on container restart Root Cause: Cache Poisoning - getNode() checked cache BEFORE any v3.37.6 logging (early return) - Cache likely contained null values from previous failed attempts - Early return skipped ALL diagnostic logging (100% silent failure) Direct GCS SDK Test Proved Files Exist: - Same files, credentials, paths work perfectly with direct @google-cloud/storage calls - Files exist in GCS with valid JSON (manually verified) - Brainy's getNode() returned null with NO logs - This confirmed the bug was in Brainy's caching logic, not GCS Fixes Applied to Both GCS and S3 Storage Adapters: 1. Cache Check Logging (Reveal Poisoning): - Log cache state BEFORE returning cached value - Show if cache contains null, undefined, or valid object - Helps diagnose what's being cached 2. Never Cache Null Values: - Only return cached value if it's valid (not null/undefined) - Only cache nodes after successful load with validation - Never cache null results from 404 errors - Explicit logging when NOT caching invalid nodes 3. Clear Cache on Init (Fresh Start): - Clear all cache entries during storage initialization - Ensures containers start with fresh cache (no stale nulls) - Prevents cache poisoning from persisting across restarts Expected Outcome: - Container restart will now successfully load entities from storage - Cache poisoning cannot cause silent failures - Comprehensive logging will reveal any remaining issues - Same fix benefits both GCS and S3 users
2025-10-13 08:32:36 -07:00
if (cached !== undefined && cached !== null) {
// Validate cached object has required fields (including non-empty vector!)
if (!cached.id || !cached.vector || !Array.isArray(cached.vector) || cached.vector.length === 0) {
// Invalid cache detected - log and auto-recover
prodLog.warn(`[GCS] Invalid cached object for ${id.substring(0, 8)} (${
!cached.id ? 'missing id' :
!cached.vector ? 'missing vector' :
!Array.isArray(cached.vector) ? 'vector not array' :
'empty vector'
}) - removing from cache and reloading`)
this.nounCacheManager.delete(id)
// Fall through to load from GCS
} else {
// Valid cache hit
this.logger.trace(`Cache hit for noun ${id}`)
return cached
}
fix: resolve cache poisoning causing silent failures on container restart Root Cause: Cache Poisoning - getNode() checked cache BEFORE any v3.37.6 logging (early return) - Cache likely contained null values from previous failed attempts - Early return skipped ALL diagnostic logging (100% silent failure) Direct GCS SDK Test Proved Files Exist: - Same files, credentials, paths work perfectly with direct @google-cloud/storage calls - Files exist in GCS with valid JSON (manually verified) - Brainy's getNode() returned null with NO logs - This confirmed the bug was in Brainy's caching logic, not GCS Fixes Applied to Both GCS and S3 Storage Adapters: 1. Cache Check Logging (Reveal Poisoning): - Log cache state BEFORE returning cached value - Show if cache contains null, undefined, or valid object - Helps diagnose what's being cached 2. Never Cache Null Values: - Only return cached value if it's valid (not null/undefined) - Only cache nodes after successful load with validation - Never cache null results from 404 errors - Explicit logging when NOT caching invalid nodes 3. Clear Cache on Init (Fresh Start): - Clear all cache entries during storage initialization - Ensures containers start with fresh cache (no stale nulls) - Prevents cache poisoning from persisting across restarts Expected Outcome: - Container restart will now successfully load entities from storage - Cache poisoning cannot cause silent failures - Comprehensive logging will reveal any remaining issues - Same fix benefits both GCS and S3 users
2025-10-13 08:32:36 -07:00
} else if (cached === null) {
prodLog.warn(`[GCS] Cache contains null for ${id.substring(0, 8)} - reloading from storage`)
}
// Apply backpressure
const requestId = await this.applyBackpressure()
try {
this.logger.trace(`Getting node ${id}`)
// Get the GCS key with UUID-based sharding
const key = this.getNounKey(id)
// Download from GCS
const file = this.bucket!.file(key)
const [contents] = await file.download()
// Parse JSON
const data = JSON.parse(contents.toString())
// Convert serialized connections back to Map<number, Set<string>>
const connections = new Map<number, Set<string>>()
for (const [level, nounIds] of Object.entries(data.connections || {})) {
connections.set(Number(level), new Set(nounIds as string[]))
}
// CRITICAL: Only return lightweight vector data (no metadata)
// Metadata is retrieved separately via getNounMetadata() (2-file system)
const node: HNSWNode = {
id: data.id,
vector: data.vector,
connections,
level: data.level || 0
// NO metadata field - retrieved separately for scalability
}
// CRITICAL FIX: Only cache valid nodes with non-empty vectors (never cache null or empty)
if (node && node.id && node.vector && Array.isArray(node.vector) && node.vector.length > 0) {
fix: resolve cache poisoning causing silent failures on container restart Root Cause: Cache Poisoning - getNode() checked cache BEFORE any v3.37.6 logging (early return) - Cache likely contained null values from previous failed attempts - Early return skipped ALL diagnostic logging (100% silent failure) Direct GCS SDK Test Proved Files Exist: - Same files, credentials, paths work perfectly with direct @google-cloud/storage calls - Files exist in GCS with valid JSON (manually verified) - Brainy's getNode() returned null with NO logs - This confirmed the bug was in Brainy's caching logic, not GCS Fixes Applied to Both GCS and S3 Storage Adapters: 1. Cache Check Logging (Reveal Poisoning): - Log cache state BEFORE returning cached value - Show if cache contains null, undefined, or valid object - Helps diagnose what's being cached 2. Never Cache Null Values: - Only return cached value if it's valid (not null/undefined) - Only cache nodes after successful load with validation - Never cache null results from 404 errors - Explicit logging when NOT caching invalid nodes 3. Clear Cache on Init (Fresh Start): - Clear all cache entries during storage initialization - Ensures containers start with fresh cache (no stale nulls) - Prevents cache poisoning from persisting across restarts Expected Outcome: - Container restart will now successfully load entities from storage - Cache poisoning cannot cause silent failures - Comprehensive logging will reveal any remaining issues - Same fix benefits both GCS and S3 users
2025-10-13 08:32:36 -07:00
this.nounCacheManager.set(id, node)
} else {
prodLog.warn(`[GCS] Not caching invalid node ${id.substring(0, 8)} (missing id/vector or empty vector)`)
fix: resolve cache poisoning causing silent failures on container restart Root Cause: Cache Poisoning - getNode() checked cache BEFORE any v3.37.6 logging (early return) - Cache likely contained null values from previous failed attempts - Early return skipped ALL diagnostic logging (100% silent failure) Direct GCS SDK Test Proved Files Exist: - Same files, credentials, paths work perfectly with direct @google-cloud/storage calls - Files exist in GCS with valid JSON (manually verified) - Brainy's getNode() returned null with NO logs - This confirmed the bug was in Brainy's caching logic, not GCS Fixes Applied to Both GCS and S3 Storage Adapters: 1. Cache Check Logging (Reveal Poisoning): - Log cache state BEFORE returning cached value - Show if cache contains null, undefined, or valid object - Helps diagnose what's being cached 2. Never Cache Null Values: - Only return cached value if it's valid (not null/undefined) - Only cache nodes after successful load with validation - Never cache null results from 404 errors - Explicit logging when NOT caching invalid nodes 3. Clear Cache on Init (Fresh Start): - Clear all cache entries during storage initialization - Ensures containers start with fresh cache (no stale nulls) - Prevents cache poisoning from persisting across restarts Expected Outcome: - Container restart will now successfully load entities from storage - Cache poisoning cannot cause silent failures - Comprehensive logging will reveal any remaining issues - Same fix benefits both GCS and S3 users
2025-10-13 08:32:36 -07:00
}
this.logger.trace(`Successfully retrieved node ${id}`)
this.releaseBackpressure(true, requestId)
return node
} catch (error: any) {
this.releaseBackpressure(false, requestId)
fix: add comprehensive error logging to GCS and S3 storage adapters Enhance both GCS and S3 storage adapters with detailed logging to diagnose why getNode() returns null without error messages on container restart. Root Cause Identified: - BOTH storage adapters had silent failure pattern in getNode() - Outer catch blocks swallowed ALL errors (network, permission, JSON parse, etc.) - No distinction between "file not found" (expected) vs "actual error" (should throw) - This caused 100% failure rate on HNSW index rebuild after container restart Changes to GCS Storage (gcsStorage.ts): - Add success path logging: load attempt → download → parse → success - Add error logging at TOP of catch block before any conditional checks - Log full error details: type, code, message, HTTP status, complete error object - Log exact GCS path being accessed for debugging path mismatches - Distinguish 404 (return null) from other errors (throw) - Properly handle throttling errors Changes to S3 Storage (s3CompatibleStorage.ts): - Apply same comprehensive error logging as GCS - Add success path logging for each operation step - Add error logging before conditional checks - Handle S3-specific error format (NoSuchKey, $metadata.httpStatusCode) - Distinguish 404/NoSuchKey (return null) from other errors (throw) - Properly handle throttling errors Expected Outcome: - Next test run will reveal exact exception causing getNode() to return null - Same diagnostic capability for both GCS and S3 environments - Proper error handling prevents silent failures in production Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-11 09:50:29 -07:00
// DIAGNOSTIC LOGGING: Log EVERY error before any conditional checks
const key = this.getNounKey(id)
prodLog.error(`[getNode] ❌ EXCEPTION CAUGHT:`)
prodLog.error(`[getNode] UUID: ${id}`)
prodLog.error(`[getNode] Path: ${key}`)
prodLog.error(`[getNode] Bucket: ${this.bucketName}`)
prodLog.error(`[getNode] Error type: ${error?.constructor?.name || typeof error}`)
prodLog.error(`[getNode] Error code: ${JSON.stringify(error?.code)}`)
prodLog.error(`[getNode] Error message: ${error?.message || String(error)}`)
prodLog.error(`[getNode] Error object:`, JSON.stringify(error, null, 2))
// Check if this is a "not found" error
if (error.code === 404) {
fix: resolve cache poisoning causing silent failures on container restart Root Cause: Cache Poisoning - getNode() checked cache BEFORE any v3.37.6 logging (early return) - Cache likely contained null values from previous failed attempts - Early return skipped ALL diagnostic logging (100% silent failure) Direct GCS SDK Test Proved Files Exist: - Same files, credentials, paths work perfectly with direct @google-cloud/storage calls - Files exist in GCS with valid JSON (manually verified) - Brainy's getNode() returned null with NO logs - This confirmed the bug was in Brainy's caching logic, not GCS Fixes Applied to Both GCS and S3 Storage Adapters: 1. Cache Check Logging (Reveal Poisoning): - Log cache state BEFORE returning cached value - Show if cache contains null, undefined, or valid object - Helps diagnose what's being cached 2. Never Cache Null Values: - Only return cached value if it's valid (not null/undefined) - Only cache nodes after successful load with validation - Never cache null results from 404 errors - Explicit logging when NOT caching invalid nodes 3. Clear Cache on Init (Fresh Start): - Clear all cache entries during storage initialization - Ensures containers start with fresh cache (no stale nulls) - Prevents cache poisoning from persisting across restarts Expected Outcome: - Container restart will now successfully load entities from storage - Cache poisoning cannot cause silent failures - Comprehensive logging will reveal any remaining issues - Same fix benefits both GCS and S3 users
2025-10-13 08:32:36 -07:00
prodLog.warn(`[getNode] Identified as 404 error - returning null WITHOUT caching`)
// CRITICAL FIX: Do NOT cache null values
return null
}
// Handle throttling
if (this.isThrottlingError(error)) {
fix: add comprehensive error logging to GCS and S3 storage adapters Enhance both GCS and S3 storage adapters with detailed logging to diagnose why getNode() returns null without error messages on container restart. Root Cause Identified: - BOTH storage adapters had silent failure pattern in getNode() - Outer catch blocks swallowed ALL errors (network, permission, JSON parse, etc.) - No distinction between "file not found" (expected) vs "actual error" (should throw) - This caused 100% failure rate on HNSW index rebuild after container restart Changes to GCS Storage (gcsStorage.ts): - Add success path logging: load attempt → download → parse → success - Add error logging at TOP of catch block before any conditional checks - Log full error details: type, code, message, HTTP status, complete error object - Log exact GCS path being accessed for debugging path mismatches - Distinguish 404 (return null) from other errors (throw) - Properly handle throttling errors Changes to S3 Storage (s3CompatibleStorage.ts): - Apply same comprehensive error logging as GCS - Add success path logging for each operation step - Add error logging before conditional checks - Handle S3-specific error format (NoSuchKey, $metadata.httpStatusCode) - Distinguish 404/NoSuchKey (return null) from other errors (throw) - Properly handle throttling errors Expected Outcome: - Next test run will reveal exact exception causing getNode() to return null - Same diagnostic capability for both GCS and S3 environments - Proper error handling prevents silent failures in production Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-11 09:50:29 -07:00
prodLog.warn(`[getNode] Identified as throttling error - rethrowing`)
await this.handleThrottling(error)
throw error
}
fix: add comprehensive error logging to GCS and S3 storage adapters Enhance both GCS and S3 storage adapters with detailed logging to diagnose why getNode() returns null without error messages on container restart. Root Cause Identified: - BOTH storage adapters had silent failure pattern in getNode() - Outer catch blocks swallowed ALL errors (network, permission, JSON parse, etc.) - No distinction between "file not found" (expected) vs "actual error" (should throw) - This caused 100% failure rate on HNSW index rebuild after container restart Changes to GCS Storage (gcsStorage.ts): - Add success path logging: load attempt → download → parse → success - Add error logging at TOP of catch block before any conditional checks - Log full error details: type, code, message, HTTP status, complete error object - Log exact GCS path being accessed for debugging path mismatches - Distinguish 404 (return null) from other errors (throw) - Properly handle throttling errors Changes to S3 Storage (s3CompatibleStorage.ts): - Apply same comprehensive error logging as GCS - Add success path logging for each operation step - Add error logging before conditional checks - Handle S3-specific error format (NoSuchKey, $metadata.httpStatusCode) - Distinguish 404/NoSuchKey (return null) from other errors (throw) - Properly handle throttling errors Expected Outcome: - Next test run will reveal exact exception causing getNode() to return null - Same diagnostic capability for both GCS and S3 environments - Proper error handling prevents silent failures in production Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-11 09:50:29 -07:00
// All other errors should throw, not return null
prodLog.error(`[getNode] Unhandled error - rethrowing`)
this.logger.error(`Failed to get node ${id}:`, error)
throw BrainyError.fromError(error, `getNoun(${id})`)
}
}
/**
* Delete a noun from storage (internal implementation)
*/
protected async deleteNoun_internal(id: string): Promise<void> {
await this.ensureInitialized()
const requestId = await this.applyBackpressure()
try {
this.logger.trace(`Deleting noun ${id}`)
// Get the GCS key
const key = this.getNounKey(id)
// Delete from GCS
const file = this.bucket!.file(key)
await file.delete()
// Remove from cache
this.nounCacheManager.delete(id)
// Decrement noun count
const metadata = await this.getNounMetadata(id)
if (metadata && metadata.type) {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
await this.decrementEntityCountSafe(metadata.type as string)
}
this.logger.trace(`Noun ${id} deleted successfully`)
this.releaseBackpressure(true, requestId)
} catch (error: any) {
this.releaseBackpressure(false, requestId)
if (error.code === 404) {
// Already deleted
this.logger.trace(`Noun ${id} not found (already deleted)`)
return
}
// Handle throttling
if (this.isThrottlingError(error)) {
await this.handleThrottling(error)
throw error
}
this.logger.error(`Failed to delete noun ${id}:`, error)
throw new Error(`Failed to delete noun ${id}: ${error}`)
}
}
/**
* Write an object to a specific path in GCS
* Primitive operation required by base class
* @protected
*/
protected async writeObjectToPath(path: string, data: any): Promise<void> {
await this.ensureInitialized()
try {
this.logger.trace(`Writing object to path: ${path}`)
const file = this.bucket!.file(path)
await file.save(JSON.stringify(data, null, 2), {
contentType: 'application/json',
resumable: false
})
this.logger.trace(`Object written successfully to ${path}`)
} catch (error) {
this.logger.error(`Failed to write object to ${path}:`, error)
throw new Error(`Failed to write object to ${path}: ${error}`)
}
}
/**
* Read an object from a specific path in GCS
* Primitive operation required by base class
* @protected
*/
protected async readObjectFromPath(path: string): Promise<any | null> {
await this.ensureInitialized()
try {
this.logger.trace(`Reading object from path: ${path}`)
const file = this.bucket!.file(path)
const [contents] = await file.download()
const data = JSON.parse(contents.toString())
this.logger.trace(`Object read successfully from ${path}`)
return data
} catch (error: any) {
// Check if this is a "not found" error
if (error.code === 404) {
this.logger.trace(`Object not found at ${path}`)
return null
}
this.logger.error(`Failed to read object from ${path}:`, error)
throw BrainyError.fromError(error, `readObjectFromPath(${path})`)
}
}
/**
* Delete an object from a specific path in GCS
* Primitive operation required by base class
* @protected
*/
protected async deleteObjectFromPath(path: string): Promise<void> {
await this.ensureInitialized()
try {
this.logger.trace(`Deleting object at path: ${path}`)
const file = this.bucket!.file(path)
await file.delete()
this.logger.trace(`Object deleted successfully from ${path}`)
} catch (error: any) {
// If already deleted (404), treat as success
if (error.code === 404) {
this.logger.trace(`Object at ${path} not found (already deleted)`)
return
}
this.logger.error(`Failed to delete object from ${path}:`, error)
throw new Error(`Failed to delete object from ${path}: ${error}`)
}
}
/**
* List all objects under a specific prefix in GCS
* Primitive operation required by base class
* @protected
*/
protected async listObjectsUnderPath(prefix: string): Promise<string[]> {
await this.ensureInitialized()
try {
this.logger.trace(`Listing objects under prefix: ${prefix}`)
const [files] = await this.bucket!.getFiles({ prefix })
const paths = files.map((file: any) => file.name).filter((name: string) => name && name.length > 0)
this.logger.trace(`Found ${paths.length} objects under ${prefix}`)
return paths
} catch (error) {
this.logger.error(`Failed to list objects under ${prefix}:`, error)
throw new Error(`Failed to list objects under ${prefix}: ${error}`)
}
}
/**
* Save a verb to storage (internal implementation)
*/
protected async saveVerb_internal(verb: HNSWVerb): Promise<void> {
return this.saveEdge(verb)
}
/**
* Save an edge to storage
*/
protected async saveEdge(edge: Edge): Promise<void> {
await this.ensureInitialized()
// Check volume mode
this.checkVolumeMode()
// Use write buffer in high-volume mode
if (this.highVolumeMode && this.verbWriteBuffer) {
this.logger.trace(`📝 BUFFERING: Adding verb ${edge.id} to write buffer`)
await this.verbWriteBuffer.add(edge.id, edge)
return
}
// Direct write in normal mode
await this.saveEdgeDirect(edge)
}
/**
* Save an edge directly to GCS (bypass buffer)
*/
private async saveEdgeDirect(edge: Edge): Promise<void> {
const requestId = await this.applyBackpressure()
try {
this.logger.trace(`Saving edge ${edge.id}`)
// Convert connections Map to serializable format
// ARCHITECTURAL FIX (v3.50.1): Include core relational fields in verb vector file
// These fields are essential for 90% of operations - no metadata lookup needed
const serializableEdge = {
id: edge.id,
vector: edge.vector,
connections: Object.fromEntries(
Array.from(edge.connections.entries()).map(([level, verbIds]) => [
level,
Array.from(verbIds)
])
),
// CORE RELATIONAL DATA (v3.50.1+)
verb: edge.verb,
sourceId: edge.sourceId,
targetId: edge.targetId,
// User metadata (if any) - saved separately for scalability
// metadata field is saved separately via saveVerbMetadata()
}
// Get the GCS key with UUID-based sharding
const key = this.getVerbKey(edge.id)
// Save to GCS
const file = this.bucket!.file(key)
await file.save(JSON.stringify(serializableEdge, null, 2), {
contentType: 'application/json',
resumable: false
})
// Update cache
this.verbCacheManager.set(edge.id, edge)
// Increment verb count
const metadata = await this.getVerbMetadata(edge.id)
if (metadata && metadata.type) {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
await this.incrementVerbCount(metadata.type as string)
}
this.logger.trace(`Edge ${edge.id} saved successfully`)
this.releaseBackpressure(true, requestId)
} catch (error: any) {
this.releaseBackpressure(false, requestId)
if (this.isThrottlingError(error)) {
await this.handleThrottling(error)
throw error
}
this.logger.error(`Failed to save edge ${edge.id}:`, error)
throw new Error(`Failed to save edge ${edge.id}: ${error}`)
}
}
/**
* Get a verb from storage (internal implementation)
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
* v4.0.0: Returns ONLY vector + core relational fields (no metadata field)
* Base class combines with metadata via getVerb() -> HNSWVerbWithMetadata
*/
protected async getVerb_internal(id: string): Promise<HNSWVerb | null> {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// v4.0.0: Return ONLY vector + core relational data (no metadata field)
const edge = await this.getEdge(id)
if (!edge) {
return null
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// Return pure vector + core fields structure
return edge
}
/**
* Get an edge from storage
*/
protected async getEdge(id: string): Promise<Edge | null> {
await this.ensureInitialized()
// Check cache first
const cached = this.verbCacheManager.get(id)
if (cached) {
this.logger.trace(`Cache hit for verb ${id}`)
return cached
}
const requestId = await this.applyBackpressure()
try {
this.logger.trace(`Getting edge ${id}`)
// Get the GCS key with UUID-based sharding
const key = this.getVerbKey(id)
// Download from GCS
const file = this.bucket!.file(key)
const [contents] = await file.download()
// Parse JSON
const data = JSON.parse(contents.toString())
// Convert serialized connections back to Map
const connections = new Map<number, Set<string>>()
for (const [level, verbIds] of Object.entries(data.connections || {})) {
connections.set(Number(level), new Set(verbIds as string[]))
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// v4.0.0: Return HNSWVerb with core relational fields (NO metadata field)
const edge: Edge = {
id: data.id,
vector: data.vector,
connections,
// CORE RELATIONAL DATA (read from vector file)
verb: data.verb,
sourceId: data.sourceId,
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
targetId: data.targetId
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// ✅ NO metadata field in v4.0.0
// User metadata retrieved separately via getVerbMetadata()
}
// Update cache
this.verbCacheManager.set(id, edge)
this.logger.trace(`Successfully retrieved edge ${id}`)
this.releaseBackpressure(true, requestId)
return edge
} catch (error: any) {
this.releaseBackpressure(false, requestId)
// Check if this is a "not found" error
if (error.code === 404) {
this.logger.trace(`Edge not found: ${id}`)
return null
}
if (this.isThrottlingError(error)) {
await this.handleThrottling(error)
throw error
}
this.logger.error(`Failed to get edge ${id}:`, error)
throw BrainyError.fromError(error, `getVerb(${id})`)
}
}
/**
* Delete a verb from storage (internal implementation)
*/
protected async deleteVerb_internal(id: string): Promise<void> {
await this.ensureInitialized()
const requestId = await this.applyBackpressure()
try {
this.logger.trace(`Deleting verb ${id}`)
// Get the GCS key
const key = this.getVerbKey(id)
// Delete from GCS
const file = this.bucket!.file(key)
await file.delete()
// Remove from cache
this.verbCacheManager.delete(id)
// Decrement verb count
const metadata = await this.getVerbMetadata(id)
if (metadata && metadata.type) {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
await this.decrementVerbCount(metadata.type as string)
}
this.logger.trace(`Verb ${id} deleted successfully`)
this.releaseBackpressure(true, requestId)
} catch (error: any) {
this.releaseBackpressure(false, requestId)
if (error.code === 404) {
// Already deleted
this.logger.trace(`Verb ${id} not found (already deleted)`)
return
}
if (this.isThrottlingError(error)) {
await this.handleThrottling(error)
throw error
}
this.logger.error(`Failed to delete verb ${id}:`, error)
throw new Error(`Failed to delete verb ${id}: ${error}`)
}
}
/**
* Get nouns with pagination
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
* v4.0.0: Returns HNSWNounWithMetadata[] (includes metadata field)
* Iterates through all UUID-based shards (00-ff) for consistent pagination
*/
public async getNounsWithPagination(options: {
limit?: number
cursor?: string
filter?: {
nounType?: string | string[]
service?: string | string[]
metadata?: Record<string, any>
}
} = {}): Promise<{
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
items: HNSWNounWithMetadata[]
totalCount?: number
hasMore: boolean
nextCursor?: string
}> {
await this.ensureInitialized()
const limit = options.limit || 100
const cursor = options.cursor
// Get paginated nodes
const result = await this.getNodesWithPagination({
limit,
cursor,
useCache: true
})
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// v4.0.0: Combine nodes with metadata to create HNSWNounWithMetadata[]
const items: HNSWNounWithMetadata[] = []
for (const node of result.nodes) {
const metadata = await this.getNounMetadata(node.id)
if (!metadata) continue
// Apply filters if provided
if (options.filter) {
// Filter by noun type
if (options.filter.nounType) {
const nounTypes = Array.isArray(options.filter.nounType)
? options.filter.nounType
: [options.filter.nounType]
const nounType = (metadata as any).type || (metadata as any).noun
if (!nounType || !nounTypes.includes(nounType)) {
continue
}
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// Filter by metadata fields if specified
if (options.filter.metadata) {
let metadataMatch = true
for (const [key, value] of Object.entries(options.filter.metadata)) {
const metadataValue = (metadata as any)[key]
if (metadataValue !== value) {
metadataMatch = false
break
}
}
if (!metadataMatch) continue
}
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// Combine node with metadata
const nounWithMetadata: HNSWNounWithMetadata = {
id: node.id,
vector: [...node.vector],
connections: new Map(node.connections),
level: node.level || 0,
metadata: metadata
}
items.push(nounWithMetadata)
}
return {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
items,
totalCount: result.totalCount,
hasMore: result.hasMore,
nextCursor: result.nextCursor
}
}
/**
* Get nodes with pagination (internal implementation)
* Iterates through UUID-based shards for consistent pagination
*/
private async getNodesWithPagination(options: {
limit: number
cursor?: string
useCache?: boolean
}): Promise<{
nodes: HNSWNode[]
totalCount: number
hasMore: boolean
nextCursor?: string
}> {
await this.ensureInitialized() // CRITICAL: Must initialize before using this.bucket
const limit = options.limit || 100
const useCache = options.useCache !== false
try {
const nodes: HNSWNode[] = []
// Parse cursor (format: "shardIndex:gcsPageToken")
let startShardIndex = 0
let gcsPageToken: string | undefined
if (options.cursor) {
const parts = options.cursor.split(':', 2)
startShardIndex = parseInt(parts[0]) || 0
gcsPageToken = parts[1] || undefined
}
// Iterate through shards starting from cursor position
for (let shardIndex = startShardIndex; shardIndex < TOTAL_SHARDS; shardIndex++) {
const shardId = getShardIdByIndex(shardIndex)
const shardPrefix = `${this.nounPrefix}${shardId}/`
// List objects in this shard
// Cap maxResults to GCS API limit to prevent "Invalid unsigned integer" errors
const requestedPageSize = limit - nodes.length
const cappedPageSize = Math.min(requestedPageSize, MAX_GCS_PAGE_SIZE)
const [files, , response] = await this.bucket!.getFiles({
prefix: shardPrefix,
maxResults: cappedPageSize,
pageToken: shardIndex === startShardIndex ? gcsPageToken : undefined
})
// Extract node IDs from file names
if (files && files.length > 0) {
const nodeIds = files
.filter((file: any) => file && file.name)
.map((file: any) => {
// Extract UUID from: entities/nouns/vectors/ab/ab123456-uuid.json
let name = file.name!
if (name.startsWith(shardPrefix)) {
name = name.substring(shardPrefix.length)
}
if (name.endsWith('.json')) {
name = name.substring(0, name.length - 5)
}
return name
})
.filter((id: string) => id && id.length > 0)
// Load nodes
for (const id of nodeIds) {
const node = await this.getNode(id)
if (node) {
nodes.push(node)
}
if (nodes.length >= limit) {
break
}
}
}
// Check if we have enough nodes or if there are more files in current shard
if (nodes.length >= limit) {
const nextCursor = response?.nextPageToken
? `${shardIndex}:${response.nextPageToken}`
: shardIndex + 1 < TOTAL_SHARDS
? `${shardIndex + 1}:`
: undefined
return {
nodes,
totalCount: this.totalNounCount,
hasMore: !!nextCursor,
nextCursor
}
}
// If this shard has more pages, create cursor for next page
if (response?.nextPageToken) {
return {
nodes,
totalCount: this.totalNounCount,
hasMore: true,
nextCursor: `${shardIndex}:${response.nextPageToken}`
}
}
// Continue to next shard
}
// No more shards or nodes
return {
nodes,
totalCount: this.totalNounCount,
hasMore: false,
nextCursor: undefined
}
} catch (error) {
this.logger.error('Error in getNodesWithPagination:', error)
throw new Error(`Failed to get nodes with pagination: ${error}`)
}
}
/**
* Get nouns by noun type (internal implementation)
*/
protected async getNounsByNounType_internal(nounType: string): Promise<HNSWNoun[]> {
const result = await this.getNounsWithPagination({
limit: 10000, // Large limit for backward compatibility
filter: { nounType }
})
return result.items
}
/**
* Get verbs by source ID (internal implementation)
*/
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
protected async getVerbsBySource_internal(sourceId: string): Promise<HNSWVerbWithMetadata[]> {
// Use the paginated approach to properly handle HNSWVerb to GraphVerb conversion
const result = await this.getVerbsWithPagination({
limit: Number.MAX_SAFE_INTEGER,
filter: { sourceId: [sourceId] }
})
return result.items
}
/**
* Get verbs by target ID (internal implementation)
*/
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
protected async getVerbsByTarget_internal(targetId: string): Promise<HNSWVerbWithMetadata[]> {
// Use the paginated approach to properly handle HNSWVerb to GraphVerb conversion
const result = await this.getVerbsWithPagination({
limit: Number.MAX_SAFE_INTEGER,
filter: { targetId: [targetId] }
})
return result.items
}
/**
* Get verbs by type (internal implementation)
*/
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
protected async getVerbsByType_internal(type: string): Promise<HNSWVerbWithMetadata[]> {
// Use the paginated approach to properly handle HNSWVerb to GraphVerb conversion
const result = await this.getVerbsWithPagination({
limit: Number.MAX_SAFE_INTEGER,
filter: { verbType: type }
})
return result.items
}
/**
* Get verbs with pagination
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
* v4.0.0: Returns HNSWVerbWithMetadata[] (includes metadata field)
*/
public async getVerbsWithPagination(options: {
limit?: number
cursor?: string
filter?: {
verbType?: string | string[]
sourceId?: string | string[]
targetId?: string | string[]
service?: string | string[]
metadata?: Record<string, any>
}
} = {}): Promise<{
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
items: HNSWVerbWithMetadata[]
totalCount?: number
hasMore: boolean
nextCursor?: string
}> {
await this.ensureInitialized()
const limit = options.limit || 100
try {
// List verbs (simplified - not sharded yet in original implementation)
// Cap maxResults to GCS API limit to prevent "Invalid unsigned integer" errors
const cappedLimit = Math.min(limit, MAX_GCS_PAGE_SIZE)
const [files, , response] = await this.bucket!.getFiles({
prefix: this.verbPrefix,
maxResults: cappedLimit,
pageToken: options.cursor
})
// If no files, return empty result
if (!files || files.length === 0) {
return {
items: [],
totalCount: 0,
hasMore: false,
nextCursor: undefined
}
}
// Extract verb IDs and load verbs as HNSW verbs
const hnswVerbs: HNSWVerb[] = []
for (const file of files) {
if (!file.name) continue
// Extract UUID from path
let name = file.name
if (name.startsWith(this.verbPrefix)) {
name = name.substring(this.verbPrefix.length)
}
if (name.endsWith('.json')) {
name = name.substring(0, name.length - 5)
}
const verb = await this.getEdge(name)
if (verb) {
hnswVerbs.push(verb)
}
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// v4.0.0: Combine HNSWVerbs with metadata to create HNSWVerbWithMetadata[]
const items: HNSWVerbWithMetadata[] = []
for (const hnswVerb of hnswVerbs) {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
const metadata = await this.getVerbMetadata(hnswVerb.id)
// Apply filters
if (options.filter) {
// v4.0.0: Core fields (verb, sourceId, targetId) are in HNSWVerb structure
if (options.filter.sourceId) {
const sourceIds = Array.isArray(options.filter.sourceId)
? options.filter.sourceId
: [options.filter.sourceId]
if (!hnswVerb.sourceId || !sourceIds.includes(hnswVerb.sourceId)) {
continue
}
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
if (options.filter.targetId) {
const targetIds = Array.isArray(options.filter.targetId)
? options.filter.targetId
: [options.filter.targetId]
if (!hnswVerb.targetId || !targetIds.includes(hnswVerb.targetId)) {
continue
}
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
if (options.filter.verbType) {
const verbTypes = Array.isArray(options.filter.verbType)
? options.filter.verbType
: [options.filter.verbType]
if (!hnswVerb.verb || !verbTypes.includes(hnswVerb.verb)) {
continue
}
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// Filter by metadata fields if specified
if (options.filter.metadata && metadata) {
let metadataMatch = true
for (const [key, value] of Object.entries(options.filter.metadata)) {
const metadataValue = (metadata as any)[key]
if (metadataValue !== value) {
metadataMatch = false
break
}
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
if (!metadataMatch) continue
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
// Combine verb with metadata
const verbWithMetadata: HNSWVerbWithMetadata = {
id: hnswVerb.id,
vector: [...hnswVerb.vector],
connections: new Map(hnswVerb.connections),
verb: hnswVerb.verb,
sourceId: hnswVerb.sourceId,
targetId: hnswVerb.targetId,
metadata: metadata || {}
}
items.push(verbWithMetadata)
}
return {
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
items,
totalCount: this.totalVerbCount,
hasMore: !!response?.nextPageToken,
nextCursor: response?.nextPageToken
}
} catch (error) {
this.logger.error('Error in getVerbsWithPagination:', error)
throw new Error(`Failed to get verbs with pagination: ${error}`)
}
}
/**
* Get nouns with filtering and pagination (public API)
*/
public async getNouns(options?: {
pagination?: {
offset?: number
limit?: number
cursor?: string
}
filter?: {
nounType?: string | string[]
service?: string | string[]
metadata?: Record<string, any>
}
}): Promise<{
items: any[]
totalCount?: number
hasMore: boolean
nextCursor?: string
}> {
const limit = options?.pagination?.limit || 100
const cursor = options?.pagination?.cursor
return this.getNounsWithPagination({
limit,
cursor,
filter: options?.filter
})
}
/**
* Get verbs with filtering and pagination (public API)
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
* v4.0.0: Returns HNSWVerbWithMetadata[] (includes metadata field)
*/
public async getVerbs(options?: {
pagination?: {
offset?: number
limit?: number
cursor?: string
}
filter?: {
verbType?: string | string[]
sourceId?: string | string[]
targetId?: string | string[]
service?: string | string[]
metadata?: Record<string, any>
}
}): Promise<{
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
items: HNSWVerbWithMetadata[]
totalCount?: number
hasMore: boolean
nextCursor?: string
}> {
const limit = options?.pagination?.limit || 100
const cursor = options?.pagination?.cursor
return this.getVerbsWithPagination({
limit,
cursor,
filter: options?.filter
})
}
/**
* Batch fetch metadata for multiple noun IDs (efficient for large queries)
* Uses smaller batches to prevent GCS socket exhaustion
* @param ids Array of noun IDs to fetch metadata for
* @returns Map of ID to metadata
*/
public async getMetadataBatch(ids: string[]): Promise<Map<string, any>> {
await this.ensureInitialized()
const results = new Map<string, any>()
const batchSize = 10 // Smaller batches for metadata to prevent socket exhaustion
// Process in smaller batches
for (let i = 0; i < ids.length; i += batchSize) {
const batch = ids.slice(i, i + batchSize)
const batchPromises = batch.map(async (id) => {
try {
// CRITICAL: Use getNounMetadata() instead of deprecated getMetadata()
// This ensures we fetch from the correct noun metadata store (2-file system)
const metadata = await this.getNounMetadata(id)
return { id, metadata }
} catch (error: any) {
// Handle GCS-specific errors
if (this.isThrottlingError(error)) {
await this.handleThrottling(error)
}
this.logger.debug(`Failed to read metadata for ${id}:`, error)
return { id, metadata: null }
}
})
const batchResults = await Promise.all(batchPromises)
for (const { id, metadata } of batchResults) {
if (metadata !== null) {
results.set(id, metadata)
}
}
// Small yield between batches to prevent overwhelming GCS
await new Promise(resolve => setImmediate(resolve))
}
return results
}
/**
* Clear all data from storage
*/
public async clear(): Promise<void> {
await this.ensureInitialized()
try {
this.logger.info('🧹 Clearing all data from GCS bucket...')
// Helper function to delete all objects with a given prefix
const deleteObjectsWithPrefix = async (prefix: string): Promise<void> => {
const [files] = await this.bucket!.getFiles({ prefix })
if (!files || files.length === 0) {
return
}
// Delete each file
for (const file of files) {
await file.delete()
}
}
// Clear all data directories
await deleteObjectsWithPrefix(this.nounPrefix)
await deleteObjectsWithPrefix(this.verbPrefix)
await deleteObjectsWithPrefix(this.metadataPrefix)
await deleteObjectsWithPrefix(this.verbMetadataPrefix)
await deleteObjectsWithPrefix(this.systemPrefix)
// Clear caches
this.nounCacheManager.clear()
this.verbCacheManager.clear()
// Reset counts
this.totalNounCount = 0
this.totalVerbCount = 0
this.entityCounts.clear()
this.verbCounts.clear()
this.logger.info('✅ All data cleared from GCS')
} catch (error) {
this.logger.error('Failed to clear GCS storage:', error)
throw new Error(`Failed to clear GCS storage: ${error}`)
}
}
/**
* Get storage status
*/
public async getStorageStatus(): Promise<{
type: string
used: number
quota: number | null
details?: Record<string, any>
}> {
await this.ensureInitialized()
try {
// Get bucket metadata
const [metadata] = await this.bucket!.getMetadata()
return {
type: 'gcs',
used: 0, // GCS doesn't provide usage info easily
quota: null, // No quota in GCS
details: {
bucket: this.bucketName,
location: metadata.location,
storageClass: metadata.storageClass,
created: metadata.timeCreated
}
}
} catch (error) {
this.logger.error('Failed to get storage status:', error)
return {
type: 'gcs',
used: 0,
quota: null
}
}
}
/**
* Save statistics data to storage
*/
protected async saveStatisticsData(statistics: StatisticsData): Promise<void> {
await this.ensureInitialized()
try {
const key = `${this.systemPrefix}${STATISTICS_KEY}.json`
this.logger.trace(`Saving statistics to ${key}`)
const file = this.bucket!.file(key)
await file.save(JSON.stringify(statistics, null, 2), {
contentType: 'application/json',
resumable: false
})
this.logger.trace('Statistics saved successfully')
} catch (error) {
this.logger.error('Failed to save statistics:', error)
throw new Error(`Failed to save statistics: ${error}`)
}
}
/**
* Get statistics data from storage
*/
protected async getStatisticsData(): Promise<StatisticsData | null> {
await this.ensureInitialized()
try {
const key = `${this.systemPrefix}${STATISTICS_KEY}.json`
this.logger.trace(`Getting statistics from ${key}`)
const file = this.bucket!.file(key)
const [contents] = await file.download()
const statistics = JSON.parse(contents.toString())
this.logger.trace('Statistics retrieved successfully')
// CRITICAL FIX: Populate totalNodes and totalEdges from in-memory counts
// HNSW rebuild depends on these fields to determine entity count
return {
...statistics,
totalNodes: this.totalNounCount,
totalEdges: this.totalVerbCount,
lastUpdated: new Date().toISOString()
}
} catch (error: any) {
if (error.code === 404) {
// CRITICAL FIX (v3.37.4): Statistics file doesn't exist yet (first restart)
// Return minimal stats with counts instead of null
// This prevents HNSW from seeing entityCount=0 during index rebuild
this.logger.trace('Statistics file not found - returning minimal stats with counts')
return {
nounCount: {},
verbCount: {},
metadataCount: {},
hnswIndexSize: 0,
totalNodes: this.totalNounCount,
totalEdges: this.totalVerbCount,
totalMetadata: 0,
lastUpdated: new Date().toISOString()
}
}
this.logger.error('Failed to get statistics:', error)
return null
}
}
/**
* Initialize counts from storage
*/
protected async initializeCounts(): Promise<void> {
const key = `${this.systemPrefix}counts.json`
try {
const file = this.bucket!.file(key)
const [contents] = await file.download()
const counts = JSON.parse(contents.toString())
this.totalNounCount = counts.totalNounCount || 0
this.totalVerbCount = counts.totalVerbCount || 0
this.entityCounts = new Map(Object.entries(counts.entityCounts || {})) as Map<string, number>
this.verbCounts = new Map(Object.entries(counts.verbCounts || {})) as Map<string, number>
prodLog.info(`📊 Loaded counts from storage: ${this.totalNounCount} nouns, ${this.totalVerbCount} verbs`)
} catch (error: any) {
if (error.code === 404) {
// No counts file yet - initialize from scan (first-time setup or counts not persisted)
prodLog.info('📊 No counts file found - this is normal for first init or if <10 entities were added')
await this.initializeCountsFromScan()
} else {
// CRITICAL FIX: Don't silently fail on network/permission errors
this.logger.error('❌ CRITICAL: Failed to load counts from GCS:', error)
prodLog.error(`❌ Error loading ${key}: ${error.message}`)
// Try to recover by scanning the bucket
prodLog.warn('⚠️ Attempting recovery by scanning GCS bucket...')
await this.initializeCountsFromScan()
}
}
}
/**
* Initialize counts from storage scan (expensive - only for first-time init)
*/
private async initializeCountsFromScan(): Promise<void> {
try {
prodLog.info('📊 Scanning GCS bucket to initialize counts...')
prodLog.info(`🔍 Noun prefix: ${this.nounPrefix}`)
prodLog.info(`🔍 Verb prefix: ${this.verbPrefix}`)
// Count nouns
const [nounFiles] = await this.bucket!.getFiles({ prefix: this.nounPrefix })
prodLog.info(`🔍 Found ${nounFiles?.length || 0} total files under noun prefix`)
const jsonNounFiles = nounFiles?.filter((f: any) => f.name?.endsWith('.json')) || []
this.totalNounCount = jsonNounFiles.length
if (jsonNounFiles.length > 0 && jsonNounFiles.length <= 5) {
prodLog.info(`📄 Sample noun files: ${jsonNounFiles.slice(0, 5).map((f: any) => f.name).join(', ')}`)
}
// Count verbs
const [verbFiles] = await this.bucket!.getFiles({ prefix: this.verbPrefix })
prodLog.info(`🔍 Found ${verbFiles?.length || 0} total files under verb prefix`)
const jsonVerbFiles = verbFiles?.filter((f: any) => f.name?.endsWith('.json')) || []
this.totalVerbCount = jsonVerbFiles.length
if (jsonVerbFiles.length > 0 && jsonVerbFiles.length <= 5) {
prodLog.info(`📄 Sample verb files: ${jsonVerbFiles.slice(0, 5).map((f: any) => f.name).join(', ')}`)
}
// Save initial counts
if (this.totalNounCount > 0 || this.totalVerbCount > 0) {
await this.persistCounts()
prodLog.info(`✅ Initialized counts from scan: ${this.totalNounCount} nouns, ${this.totalVerbCount} verbs`)
} else {
prodLog.warn(`⚠️ No entities found during bucket scan. Check that entities exist and prefixes are correct.`)
}
} catch (error) {
// CRITICAL FIX: Don't silently fail - this prevents data loss scenarios
this.logger.error('❌ CRITICAL: Failed to initialize counts from GCS bucket scan:', error)
throw new Error(`Failed to initialize GCS storage counts: ${error}. This prevents container restarts from working correctly.`)
}
}
/**
* Persist counts to storage
*/
protected async persistCounts(): Promise<void> {
try {
const key = `${this.systemPrefix}counts.json`
const counts = {
totalNounCount: this.totalNounCount,
totalVerbCount: this.totalVerbCount,
entityCounts: Object.fromEntries(this.entityCounts),
verbCounts: Object.fromEntries(this.verbCounts),
lastUpdated: new Date().toISOString()
}
const file = this.bucket!.file(key)
await file.save(JSON.stringify(counts, null, 2), {
contentType: 'application/json',
resumable: false
})
} catch (error) {
this.logger.error('Error persisting counts:', error)
}
}
// HNSW Index Persistence (v3.35.0+)
/**
* Get a noun's vector for HNSW rebuild
*/
public async getNounVector(id: string): Promise<number[] | null> {
await this.ensureInitialized()
const noun = await this.getNode(id)
return noun ? noun.vector : null
}
/**
* Save HNSW graph data for a noun
* Storage path: entities/nouns/hnsw/{shard}/{id}.json
*/
public async saveHNSWData(nounId: string, hnswData: {
level: number
connections: Record<string, string[]>
}): Promise<void> {
await this.ensureInitialized()
try {
// Use sharded path for HNSW data
const shard = getShardIdFromUuid(nounId)
const key = `entities/nouns/hnsw/${shard}/${nounId}.json`
const file = this.bucket!.file(key)
await file.save(JSON.stringify(hnswData, null, 2), {
contentType: 'application/json',
resumable: false
})
} catch (error) {
this.logger.error(`Failed to save HNSW data for ${nounId}:`, error)
throw new Error(`Failed to save HNSW data for ${nounId}: ${error}`)
}
}
/**
* Get HNSW graph data for a noun
* Storage path: entities/nouns/hnsw/{shard}/{id}.json
*/
public async getHNSWData(nounId: string): Promise<{
level: number
connections: Record<string, string[]>
} | null> {
await this.ensureInitialized()
try {
const shard = getShardIdFromUuid(nounId)
const key = `entities/nouns/hnsw/${shard}/${nounId}.json`
const file = this.bucket!.file(key)
const [contents] = await file.download()
return JSON.parse(contents.toString())
} catch (error: any) {
if (error.code === 404) {
return null
}
this.logger.error(`Failed to get HNSW data for ${nounId}:`, error)
throw new Error(`Failed to get HNSW data for ${nounId}: ${error}`)
}
}
/**
* Save HNSW system data (entry point, max level)
* Storage path: system/hnsw-system.json
*/
public async saveHNSWSystem(systemData: {
entryPointId: string | null
maxLevel: number
}): Promise<void> {
await this.ensureInitialized()
try {
const key = `${this.systemPrefix}hnsw-system.json`
const file = this.bucket!.file(key)
await file.save(JSON.stringify(systemData, null, 2), {
contentType: 'application/json',
resumable: false
})
} catch (error) {
this.logger.error('Failed to save HNSW system data:', error)
throw new Error(`Failed to save HNSW system data: ${error}`)
}
}
/**
* Get HNSW system data (entry point, max level)
* Storage path: system/hnsw-system.json
*/
public async getHNSWSystem(): Promise<{
entryPointId: string | null
maxLevel: number
} | null> {
await this.ensureInitialized()
try {
const key = `${this.systemPrefix}hnsw-system.json`
const file = this.bucket!.file(key)
const [contents] = await file.download()
return JSON.parse(contents.toString())
} catch (error: any) {
if (error.code === 404) {
return null
}
this.logger.error('Failed to get HNSW system data:', error)
throw new Error(`Failed to get HNSW system data: ${error}`)
}
}
// ============================================================================
// GCS Lifecycle Management & Autoclass (v4.0.0)
// Cost optimization through automatic tier transitions and Autoclass
// ============================================================================
/**
* Set lifecycle policy for automatic tier transitions and deletions
*
* GCS Storage Classes:
* - STANDARD: Hot data, most expensive (~$0.020/GB/month)
* - NEARLINE: <1 access/month (~$0.010/GB/month, 50% cheaper)
* - COLDLINE: <1 access/quarter (~$0.004/GB/month, 80% cheaper)
* - ARCHIVE: <1 access/year (~$0.0012/GB/month, 94% cheaper!)
*
* Example usage:
* ```typescript
* await storage.setLifecyclePolicy({
* rules: [
* {
* action: { type: 'SetStorageClass', storageClass: 'NEARLINE' },
* condition: { age: 30 }
* },
* {
* action: { type: 'SetStorageClass', storageClass: 'COLDLINE' },
* condition: { age: 90 }
* },
* {
* action: { type: 'Delete' },
* condition: { age: 365 }
* }
* ]
* })
* ```
*
* @param options Lifecycle configuration with rules for transitions and deletions
*/
public async setLifecyclePolicy(options: {
rules: Array<{
action: {
type: 'Delete' | 'SetStorageClass'
storageClass?: 'STANDARD' | 'NEARLINE' | 'COLDLINE' | 'ARCHIVE'
}
condition: {
age?: number // Days since object creation
createdBefore?: string // ISO 8601 date
matchesPrefix?: string[]
matchesSuffix?: string[]
}
}>
}): Promise<void> {
await this.ensureInitialized()
try {
this.logger.info(`Setting GCS lifecycle policy with ${options.rules.length} rules`)
// GCS lifecycle rules format
const lifecycleRules = options.rules.map(rule => {
const gcsRule: any = {
action: {
type: rule.action.type
},
condition: {}
}
// Add storage class for SetStorageClass action
if (rule.action.type === 'SetStorageClass' && rule.action.storageClass) {
gcsRule.action.storageClass = rule.action.storageClass
}
// Add conditions
if (rule.condition.age !== undefined) {
gcsRule.condition.age = rule.condition.age
}
if (rule.condition.createdBefore) {
gcsRule.condition.createdBefore = rule.condition.createdBefore
}
if (rule.condition.matchesPrefix) {
gcsRule.condition.matchesPrefix = rule.condition.matchesPrefix
}
if (rule.condition.matchesSuffix) {
gcsRule.condition.matchesSuffix = rule.condition.matchesSuffix
}
return gcsRule
})
// Update bucket lifecycle configuration
await this.bucket!.setMetadata({
lifecycle: {
rule: lifecycleRules
}
})
this.logger.info(`Successfully set lifecycle policy with ${options.rules.length} rules`)
} catch (error: any) {
this.logger.error('Failed to set lifecycle policy:', error)
throw new Error(`Failed to set GCS lifecycle policy: ${error.message || error}`)
}
}
/**
* Get current lifecycle policy configuration
*
* @returns Lifecycle configuration with all rules, or null if no policy is set
*/
public async getLifecyclePolicy(): Promise<{
rules: Array<{
action: {
type: string
storageClass?: string
}
condition: {
age?: number
createdBefore?: string
matchesPrefix?: string[]
matchesSuffix?: string[]
}
}>
} | null> {
await this.ensureInitialized()
try {
this.logger.info('Getting GCS lifecycle policy')
const [metadata] = await this.bucket!.getMetadata()
if (!metadata.lifecycle || !metadata.lifecycle.rule || metadata.lifecycle.rule.length === 0) {
this.logger.info('No lifecycle policy configured')
return null
}
// Convert GCS format to our format
const rules = metadata.lifecycle.rule.map((rule: any) => ({
action: {
type: rule.action.type,
...(rule.action.storageClass && { storageClass: rule.action.storageClass })
},
condition: {
...(rule.condition.age !== undefined && { age: rule.condition.age }),
...(rule.condition.createdBefore && { createdBefore: rule.condition.createdBefore }),
...(rule.condition.matchesPrefix && { matchesPrefix: rule.condition.matchesPrefix }),
...(rule.condition.matchesSuffix && { matchesSuffix: rule.condition.matchesSuffix })
}
}))
this.logger.info(`Found lifecycle policy with ${rules.length} rules`)
return { rules }
} catch (error: any) {
this.logger.error('Failed to get lifecycle policy:', error)
throw new Error(`Failed to get GCS lifecycle policy: ${error.message || error}`)
}
}
/**
* Remove lifecycle policy from bucket
*/
public async removeLifecyclePolicy(): Promise<void> {
await this.ensureInitialized()
try {
this.logger.info('Removing GCS lifecycle policy')
// Remove lifecycle configuration
await this.bucket!.setMetadata({
lifecycle: null
})
this.logger.info('Successfully removed lifecycle policy')
} catch (error: any) {
this.logger.error('Failed to remove lifecycle policy:', error)
throw new Error(`Failed to remove GCS lifecycle policy: ${error.message || error}`)
}
}
/**
* Enable Autoclass for automatic storage class optimization
*
* GCS Autoclass automatically moves objects between storage classes based on access patterns:
* - Frequent Access STANDARD
* - Infrequent Access (30 days) NEARLINE
* - Rarely Accessed (90 days) COLDLINE
* - Archive Access (365 days) ARCHIVE
*
* Benefits:
* - Automatic optimization based on access patterns (no manual rules needed)
* - No early deletion fees
* - No retrieval fees for NEARLINE/COLDLINE (only ARCHIVE has retrieval fees)
* - Up to 94% cost savings automatically
*
* Note: Autoclass is a bucket-level feature that requires bucket.update permission.
* It cannot be enabled per-object or per-prefix.
*
* @param options Autoclass configuration
*/
public async enableAutoclass(options: {
terminalStorageClass?: 'NEARLINE' | 'ARCHIVE' // Coldest storage class to use
} = {}): Promise<void> {
await this.ensureInitialized()
try {
this.logger.info('Enabling GCS Autoclass')
const autoclassConfig: any = {
enabled: true
}
// Set terminal storage class if specified
if (options.terminalStorageClass) {
autoclassConfig.terminalStorageClass = options.terminalStorageClass
}
await this.bucket!.setMetadata({
autoclass: autoclassConfig
})
this.logger.info(`Successfully enabled Autoclass${options.terminalStorageClass ? ` with terminal class ${options.terminalStorageClass}` : ''}`)
} catch (error: any) {
this.logger.error('Failed to enable Autoclass:', error)
throw new Error(`Failed to enable GCS Autoclass: ${error.message || error}`)
}
}
/**
* Get Autoclass configuration and status
*
* @returns Autoclass status, or null if not configured
*/
public async getAutoclassStatus(): Promise<{
enabled: boolean
terminalStorageClass?: string
toggleTime?: string
} | null> {
await this.ensureInitialized()
try {
this.logger.info('Getting GCS Autoclass status')
const [metadata] = await this.bucket!.getMetadata()
if (!metadata.autoclass) {
this.logger.info('Autoclass not configured')
return null
}
const status = {
enabled: metadata.autoclass.enabled || false,
...(metadata.autoclass.terminalStorageClass && {
terminalStorageClass: metadata.autoclass.terminalStorageClass
}),
...(metadata.autoclass.toggleTime && {
toggleTime: metadata.autoclass.toggleTime
})
}
this.logger.info(`Autoclass status: ${status.enabled ? 'enabled' : 'disabled'}`)
return status
} catch (error: any) {
this.logger.error('Failed to get Autoclass status:', error)
throw new Error(`Failed to get GCS Autoclass status: ${error.message || error}`)
}
}
/**
* Disable Autoclass for the bucket
*/
public async disableAutoclass(): Promise<void> {
await this.ensureInitialized()
try {
this.logger.info('Disabling GCS Autoclass')
await this.bucket!.setMetadata({
autoclass: {
enabled: false
}
})
this.logger.info('Successfully disabled Autoclass')
} catch (error: any) {
this.logger.error('Failed to disable Autoclass:', error)
throw new Error(`Failed to disable GCS Autoclass: ${error.message || error}`)
}
}
}