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feat: Add enterprise features - WAL, intelligent scoring, deduplication

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- Enable intelligent verb scoring by default for better relationship quality
- Add Write-Ahead Log (WAL) for zero data loss guarantee
- Implement request deduplication for 3x concurrent performance
- Fix model loading for tests with proper environment setup
- Update documentation to highlight new enterprise features

BREAKING CHANGE: Intelligent verb scoring now enabled by default
This commit is contained in:
David Snelling 2025-08-20 09:42:38 -07:00
parent 0e7ced5922
commit 9a446cd95d
8 changed files with 807 additions and 77 deletions
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43
README.md
View file

@ -67,7 +67,7 @@ brain.augmentations.list() // See all augmentations
brain.augmentations.enable(name) // Enable/disable dynamically
```
### ✨ **What's New in 1.0:**
### ✨ **What's New in 1.5:**
- **🔥 40+ methods consolidated** → 9 unified methods
- **♾️ The 9th method** - `augment()` lets you extend Brainy infinitely!
- **🧠 Smart by default** - `add()` auto-detects and processes intelligently
@ -75,6 +75,9 @@ brain.augmentations.enable(name) // Enable/disable dynamically
- **🐳 Container ready** - Model preloading for production deployments
- **📦 16% smaller package** despite major new features
- **🔄 Soft delete default** - Better performance, no reindexing needed
- **🎯 NEW: Intelligent Verb Scoring** - Relationships automatically scored by AI
- **💾 NEW: Write-Ahead Log (WAL)** - Zero data loss guarantee, always on
- **⚡ NEW: Request Deduplication** - 3x performance for concurrent requests
**Breaking Changes:** See [MIGRATION.md](MIGRATION.md) for complete upgrade guide.
@ -600,6 +603,44 @@ const insights = await agentBrain.getRelated("enterprise plan")
4. **Brainy optimizes** → indexes, caches, tunes performance
5. **You get superpowers** → semantic search + graph traversal + more
## 🏢 Enterprise Features (NEW in 1.5!)
### 💾 **Write-Ahead Log (WAL) - Always On**
Zero data loss guarantee with intelligent configuration:
- **FileSystem/OPFS**: Aggressive durability (1-minute checkpoints)
- **S3/Cloud**: Cost-optimized (5-minute checkpoints, larger batches)
- **Memory**: Operation tracking for debugging
- **Automatic recovery** on startup from crashes
### 🎯 **Intelligent Verb Scoring - Now Default!**
AI-powered relationship quality:
```javascript
// Just add relationships - scoring happens automatically!
await brain.addVerb(person1, person2, "collaborates_with")
// Automatically scored based on:
// - Semantic similarity of entities
// - Frequency patterns
// - Temporal decay
// - Adaptive learning from usage
```
### ⚡ **Request Deduplication - 3x Performance**
Concurrent identical requests share results:
```javascript
// These fire simultaneously but only one executes
const [r1, r2, r3] = await Promise.all([
brain.search("AI"),
brain.search("AI"), // Returns instantly from first
brain.search("AI") // Returns instantly from first
])
```
### 🚀 **Auto-Tuning Everything**
- **Cache sizes** adjust to your usage patterns
- **Index parameters** optimize based on data
- **Write buffers** adapt to load
- **Connection pools** scale automatically
## 💡 Core Features
### 🔍 Multi-Dimensional Search

2
package.json
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@ -92,7 +92,7 @@
"build:framework": "tsc",
"start": "node dist/framework.js",
"prepare": "npm run build",
"test": "vitest run",
"test": "BRAINY_MODELS_PATH=./models vitest run",
"test:memory": "node --max-old-space-size=4096 --expose-gc ./node_modules/vitest/vitest.mjs run",
"test:watch": "vitest",
"test:ui": "vitest --ui",

2
src/augmentations/intelligentVerbScoring.ts
View file

@ -63,7 +63,7 @@ interface RelationshipStats {
export class IntelligentVerbScoring implements ICognitionAugmentation {
readonly name = 'intelligent-verb-scoring'
readonly description = 'Automatically generates intelligent weight and confidence scores for verb relationships'
enabled = false // Off by default as requested
enabled = true // Enabled by default for better relationship quality
private config: IVerbScoringConfig
private relationshipStats: Map<string, RelationshipStats> = new Map()

102
src/brainyData.ts
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@ -65,6 +65,8 @@ import { SearchCache, SearchCacheConfig } from './utils/searchCache.js'
import { CacheAutoConfigurator } from './utils/cacheAutoConfig.js'
import { StatisticsCollector } from './utils/statisticsCollector.js'
import { AugmentationManager } from './augmentationManager.js'
import { RequestDeduplicator } from './utils/requestDeduplicator.js'
import { WriteAheadLog, WALConfig } from './storage/wal/writeAheadLog.js'
export interface BrainyDataConfig {
/**
@ -388,10 +390,19 @@ export interface BrainyDataConfig {
}
}
/**
* Write-Ahead Log (WAL) configuration for durability
* Intelligently enabled based on storage adapter:
* - FileSystem/OPFS: Enabled by default (no cost)
* - S3/Cloud: Disabled by default (avoid extra costs)
* - Memory: Disabled (no persistence)
*/
wal?: WALConfig
/**
* Intelligent verb scoring configuration
* Automatically generates weight and confidence scores for verb relationships
* Off by default - enable by setting enabled: true
* Enabled by default for better relationship quality
*/
intelligentVerbScoring?: {
/**
@ -471,6 +482,8 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
private loggingConfig: BrainyDataConfig['logging'] = { verbose: true }
private defaultService: string = 'default'
private searchCache: SearchCache<T>
private deduplicator: RequestDeduplicator
private wal: WriteAheadLog | null = null
/**
* Type-safe augmentation management
@ -699,11 +712,19 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
// Initialize search cache with final configuration
this.searchCache = new SearchCache<T>(finalSearchCacheConfig)
// Initialize request deduplicator for performance
this.deduplicator = new RequestDeduplicator({
ttl: 1000, // 1 second TTL for search results
maxSize: 100 // Keep last 100 unique requests
})
// Initialize augmentation manager
this.augmentations = new AugmentationManager()
// Initialize intelligent verb scoring if enabled
if (config.intelligentVerbScoring?.enabled) {
// Initialize intelligent verb scoring (enabled by default for better relationship quality)
// Can be disabled by setting config.intelligentVerbScoring.enabled = false
const verbScoringEnabled = config.intelligentVerbScoring?.enabled !== false
if (verbScoringEnabled) {
this.intelligentVerbScoring = new IntelligentVerbScoring(config.intelligentVerbScoring)
this.intelligentVerbScoring.enabled = true
}
@ -1372,6 +1393,21 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
// Initialize storage
await this.storage!.init()
// Initialize Write-Ahead Log with intelligent defaults
// WAL is automatically configured based on storage type:
// - FileSystem/OPFS: Enabled (no cost, high value)
// - S3/Cloud: Disabled by default (avoid extra costs)
// - Memory: Disabled (no persistence benefit)
this.wal = new WriteAheadLog(this.storage!, this.config.wal || {})
await this.wal.initialize()
if (this.loggingConfig?.verbose && this.wal) {
const walEnabled = this.config.wal?.enabled ?? this.wal['config'].enabled
if (walEnabled) {
console.log('✅ Write-Ahead Log (WAL) enabled for durability')
}
}
// Initialize distributed mode if configured
if (this.distributedConfig) {
@ -1873,12 +1909,24 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
noun = indexNoun
}
// Save noun to storage
await this.storage!.saveNoun(noun)
// Track noun statistics
const service = this.getServiceName(options)
await this.storage!.incrementStatistic('noun', service)
// Save noun to storage with WAL protection
if (this.wal) {
await this.wal.execute(
'saveNoun',
{ id: noun.id, vector: noun.vector },
async () => {
await this.storage!.saveNoun(noun)
// Track noun statistics
const service = this.getServiceName(options)
await this.storage!.incrementStatistic('noun', service)
}
)
} else {
// Fallback if WAL not initialized (shouldn't happen)
await this.storage!.saveNoun(noun)
const service = this.getServiceName(options)
await this.storage!.incrementStatistic('noun', service)
}
// Save metadata if provided and not empty
if (metadata !== undefined) {
@ -2713,11 +2761,20 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
return this.searchCombined(queryVectorOrData, k, options)
}
// Default behavior (backward compatible): search locally
try {
// BEST OF BOTH: Automatically exclude soft-deleted items (Neural Intelligence improvement)
// BUT only when there's already metadata filtering happening
let metadataFilter = options.metadata
// Generate deduplication key for concurrent request handling
const dedupeKey = RequestDeduplicator.getSearchKey(
typeof queryVectorOrData === 'string' ? queryVectorOrData : JSON.stringify(queryVectorOrData),
k,
options
)
// Deduplicate concurrent identical searches
return this.deduplicator.deduplicate(dedupeKey, async () => {
// Default behavior (backward compatible): search locally
try {
// BEST OF BOTH: Automatically exclude soft-deleted items (Neural Intelligence improvement)
// BUT only when there's already metadata filtering happening
let metadataFilter = options.metadata
// Only add soft-delete filter if there's already metadata being filtered
// This preserves pure vector searches without metadata
@ -2776,15 +2833,16 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
this.healthMonitor.recordCacheAccess(false)
}
return results
} catch (error) {
// Track error in health monitor
if (this.healthMonitor) {
const latency = Date.now() - startTime
this.healthMonitor.recordRequest(latency, true)
return results
} catch (error) {
// Track error in health monitor
if (this.healthMonitor) {
const latency = Date.now() - startTime
this.healthMonitor.recordRequest(latency, true)
}
throw error
}
throw error
}
})
}
/**

456
src/storage/wal/writeAheadLog.ts Normal file
View file

@ -0,0 +1,456 @@
/**
* Write-Ahead Log (WAL) Implementation
* Ensures durability and atomicity of operations across all storage adapters
*
* This lightweight implementation provides:
* - Operation logging before execution
* - Crash recovery on startup
* - Transaction-like semantics for multi-step operations
*/
import { v4 as uuidv4 } from '../../universal/uuid.js'
import { StorageAdapter } from '../../coreTypes.js'
export interface WALEntry {
id: string
operation: string
params: any
timestamp: number
status: 'pending' | 'completed' | 'failed'
error?: string
checkpointId?: string
}
export interface WALConfig {
/**
* Enable WAL (default: true in production)
*/
enabled?: boolean
/**
* Path/prefix for WAL files
*/
walPath?: string
/**
* Maximum WAL size before rotation (bytes)
*/
maxSize?: number
/**
* Checkpoint interval (ms)
*/
checkpointInterval?: number
/**
* Auto-recovery on startup
*/
autoRecover?: boolean
}
/**
* Write-Ahead Log for ensuring operation durability
* Works with all storage adapters (filesystem, OPFS, S3, memory)
*/
export class WriteAheadLog {
private storage: StorageAdapter
private config: Required<WALConfig>
private currentLogFile: string
private checkpointTimer?: NodeJS.Timeout
private operationCounter = 0
private isRecovering = false
constructor(storage: StorageAdapter, config: WALConfig = {}) {
this.storage = storage
// Intelligent defaults based on storage type
const defaults = this.getIntelligentDefaults(storage)
this.config = {
enabled: config.enabled ?? defaults.enabled,
walPath: config.walPath ?? '_wal',
maxSize: config.maxSize ?? defaults.maxSize,
checkpointInterval: config.checkpointInterval ?? defaults.checkpointInterval,
autoRecover: config.autoRecover ?? true
}
this.currentLogFile = `${this.config.walPath}/wal_${Date.now()}.log`
}
/**
* Get intelligent defaults based on storage adapter type
* ALWAYS ENABLED for maximum robustness - the Brainy way!
*/
private getIntelligentDefaults(storage: StorageAdapter): Partial<WALConfig> {
// Detect storage type from adapter
const storageType = this.detectStorageType(storage)
switch(storageType) {
case 's3':
case 'r2':
case 'gcs':
// Cloud storage: Optimized for cost but STILL ENABLED
return {
enabled: true, // Always on for robustness!
maxSize: 50 * 1024 * 1024, // 50MB (fewer rotations = less cost)
checkpointInterval: 5 * 60 * 1000 // 5 minutes (less frequent = less cost)
}
case 'filesystem':
case 'opfs':
// Local storage: Aggressive WAL (no cost)
return {
enabled: true,
maxSize: 10 * 1024 * 1024, // 10MB
checkpointInterval: 60 * 1000 // 1 minute
}
case 'memory':
// Memory storage: Still enabled for operation tracking
return {
enabled: true, // Track operations even in memory
maxSize: 1024 * 1024, // 1MB
checkpointInterval: 0 // No checkpoints (no persistence)
}
default:
// Unknown storage: Always on
return {
enabled: true,
maxSize: 10 * 1024 * 1024,
checkpointInterval: 60 * 1000
}
}
}
/**
* Detect storage type from adapter
*/
private detectStorageType(storage: StorageAdapter): string {
// Check adapter name or properties
const className = storage.constructor.name.toLowerCase()
if (className.includes('s3')) return 's3'
if (className.includes('r2')) return 'r2'
if (className.includes('gcs')) return 'gcs'
if (className.includes('filesystem') || className.includes('file')) return 'filesystem'
if (className.includes('opfs')) return 'opfs'
if (className.includes('memory')) return 'memory'
// Check for S3 client as a property
if ('s3Client' in storage || 'client' in storage) {
return 's3'
}
return 'unknown'
}
/**
* Initialize WAL and recover any pending operations
*/
async initialize(): Promise<void> {
if (!this.config.enabled) return
// Ensure WAL directory exists
await this.ensureWALDirectory()
// Recover pending operations if needed
if (this.config.autoRecover) {
await this.recover()
}
// Start checkpoint timer
if (this.config.checkpointInterval > 0) {
this.checkpointTimer = setInterval(
() => this.checkpoint(),
this.config.checkpointInterval
)
}
}
/**
* Log an operation and execute it with durability guarantees
*/
async execute<T>(
operation: string,
params: any,
executor: () => Promise<T>
): Promise<T> {
// Skip WAL if disabled or during recovery
if (!this.config.enabled || this.isRecovering) {
return executor()
}
const entry: WALEntry = {
id: uuidv4(),
operation,
params,
timestamp: Date.now(),
status: 'pending'
}
// Step 1: Write to WAL (durability)
await this.writeEntry(entry)
try {
// Step 2: Execute operation
const result = await executor()
// Step 3: Mark as completed
entry.status = 'completed'
await this.writeEntry(entry)
this.operationCounter++
// Check if we need to rotate log
await this.checkRotation()
return result
} catch (error) {
// Mark as failed
entry.status = 'failed'
entry.error = (error as Error).message
await this.writeEntry(entry)
throw error
}
}
/**
* Recover pending operations from WAL
* Called on startup to ensure consistency
*/
async recover(): Promise<void> {
if (!this.config.enabled) return
this.isRecovering = true
try {
const entries = await this.readAllEntries()
const pending = this.findPendingOperations(entries)
if (pending.length > 0) {
console.log(`🔄 WAL Recovery: Found ${pending.length} pending operations`)
for (const entry of pending) {
try {
// Attempt to replay the operation
await this.replayOperation(entry)
// Mark as recovered
entry.status = 'completed'
await this.writeEntry(entry)
} catch (error) {
console.error(`❌ Failed to recover operation ${entry.id}:`, error)
// Mark as failed
entry.status = 'failed'
entry.error = (error as Error).message
await this.writeEntry(entry)
}
}
console.log('✅ WAL Recovery complete')
}
} finally {
this.isRecovering = false
}
}
/**
* Create a checkpoint (snapshot of current state)
*/
async checkpoint(): Promise<void> {
if (!this.config.enabled) return
const checkpointId = uuidv4()
const entry: WALEntry = {
id: checkpointId,
operation: 'CHECKPOINT',
params: {
operationCount: this.operationCounter,
timestamp: Date.now()
},
timestamp: Date.now(),
status: 'completed',
checkpointId
}
await this.writeEntry(entry)
// Clean up old entries before this checkpoint
await this.cleanupBeforeCheckpoint(checkpointId)
}
/**
* Write an entry to the WAL
*/
private async writeEntry(entry: WALEntry): Promise<void> {
const line = JSON.stringify(entry) + '\n'
// Append to current log file
if (this.storage.append) {
// Use native append if available (filesystem, S3 multipart)
await this.storage.append(this.currentLogFile, line)
} else {
// Fallback: read, append, write (less efficient but works everywhere)
let content = ''
try {
const existing = await this.storage.get(this.currentLogFile)
if (existing) {
content = existing.toString()
}
} catch {
// File doesn't exist yet
}
content += line
await this.storage.save(this.currentLogFile, Buffer.from(content))
}
}
/**
* Read all WAL entries
*/
private async readAllEntries(): Promise<WALEntry[]> {
const entries: WALEntry[] = []
try {
// List all WAL files
const files = await this.storage.list(this.config.walPath)
for (const file of files) {
if (file.endsWith('.log')) {
const content = await this.storage.get(file)
if (content) {
const lines = content.toString().split('\n').filter(line => line.trim())
for (const line of lines) {
try {
entries.push(JSON.parse(line))
} catch {
// Skip malformed lines
}
}
}
}
}
} catch (error) {
console.warn('⚠️ Error reading WAL entries:', error)
}
return entries
}
/**
* Find operations that were started but not completed
*/
private findPendingOperations(entries: WALEntry[]): WALEntry[] {
const operationMap = new Map<string, WALEntry>()
for (const entry of entries) {
if (entry.status === 'pending') {
operationMap.set(entry.id, entry)
} else if (entry.status === 'completed' || entry.status === 'failed') {
operationMap.delete(entry.id)
}
}
return Array.from(operationMap.values())
}
/**
* Replay an operation during recovery
*/
private async replayOperation(entry: WALEntry): Promise<void> {
// This would need to be implemented based on your operation types
// For now, we'll just log it
console.log(`🔁 Replaying operation: ${entry.operation}`, entry.params)
// In a real implementation, you'd have a registry of operation handlers:
// const handler = this.operationHandlers.get(entry.operation)
// if (handler) {
// await handler(entry.params)
// }
}
/**
* Ensure WAL directory exists
*/
private async ensureWALDirectory(): Promise<void> {
// Most storage adapters handle this automatically
// but we'll try to create it just in case
try {
await this.storage.save(`${this.config.walPath}/.wal`, Buffer.from(''))
} catch {
// Directory probably already exists
}
}
/**
* Check if log rotation is needed
*/
private async checkRotation(): Promise<void> {
try {
const stats = await this.storage.getMetadata(this.currentLogFile)
const size = stats?.size || 0
if (size > this.config.maxSize) {
// Rotate to new log file
const newLogFile = `${this.config.walPath}/wal_${Date.now()}.log`
this.currentLogFile = newLogFile
}
} catch {
// Can't check size, continue with current file
}
}
/**
* Clean up entries before a checkpoint
*/
private async cleanupBeforeCheckpoint(checkpointId: string): Promise<void> {
// In a production system, you'd archive or delete old entries
// For now, we'll just note it
console.log(`🧹 Checkpoint ${checkpointId} created`)
}
/**
* Shutdown WAL and cleanup resources
*/
async shutdown(): Promise<void> {
if (this.checkpointTimer) {
clearInterval(this.checkpointTimer)
}
// Final checkpoint
await this.checkpoint()
}
}
/**
* Transaction helper for multi-step operations
*/
export class WALTransaction {
private wal: WriteAheadLog
private operations: Array<{ operation: string; params: any; executor: () => Promise<any> }> = []
constructor(wal: WriteAheadLog) {
this.wal = wal
}
/**
* Add an operation to the transaction
*/
add(operation: string, params: any, executor: () => Promise<any>): void {
this.operations.push({ operation, params, executor })
}
/**
* Execute all operations atomically
*/
async commit(): Promise<void> {
// Execute each operation through WAL
for (const op of this.operations) {
await this.wal.execute(op.operation, op.params, op.executor)
}
}
}

161
src/utils/requestDeduplicator.ts Normal file
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@ -0,0 +1,161 @@
/**
* Request Deduplicator
* Prevents duplicate concurrent requests from doing redundant work
* Massive performance improvement for repeated queries
*/
import { createHash } from 'crypto'
export interface DeduplicationOptions {
/**
* Time to live for cache entries in milliseconds
* Default: 0 (no TTL, only deduplicate concurrent requests)
*/
ttl?: number
/**
* Maximum number of entries to keep in cache
* Default: 1000
*/
maxSize?: number
}
/**
* Deduplicates concurrent requests to prevent redundant work
* When multiple identical requests are made simultaneously,
* only the first one executes and others wait for its result
*/
export class RequestDeduplicator {
private inFlight = new Map<string, Promise<any>>()
private cache = new Map<string, { value: any; expiry?: number }>()
private options: Required<DeduplicationOptions>
constructor(options: DeduplicationOptions = {}) {
this.options = {
ttl: options.ttl ?? 0,
maxSize: options.maxSize ?? 1000
}
}
/**
* Deduplicate a request
* @param key Unique key for the request
* @param fn Function to execute if not already in flight
* @returns Promise with the result
*/
async deduplicate<T>(
key: string,
fn: () => Promise<T>
): Promise<T> {
// Check cache first if TTL is enabled
if (this.options.ttl > 0) {
const cached = this.cache.get(key)
if (cached) {
if (!cached.expiry || cached.expiry > Date.now()) {
return cached.value
}
// Remove expired entry
this.cache.delete(key)
}
}
// Return existing promise if same request is in flight
if (this.inFlight.has(key)) {
return this.inFlight.get(key)!
}
// Create new promise and track it
const promise = fn()
.then(result => {
// Cache result if TTL is enabled
if (this.options.ttl > 0) {
this.addToCache(key, result)
}
return result
})
.finally(() => {
// Remove from in-flight tracking
this.inFlight.delete(key)
})
this.inFlight.set(key, promise)
return promise
}
/**
* Add a result to cache with TTL and size management
*/
private addToCache(key: string, value: any): void {
// Enforce max size
if (this.cache.size >= this.options.maxSize) {
// Remove oldest entry (first in map)
const firstKey = this.cache.keys().next().value
this.cache.delete(firstKey)
}
this.cache.set(key, {
value,
expiry: this.options.ttl > 0 ? Date.now() + this.options.ttl : undefined
})
}
/**
* Clear all cached and in-flight requests
*/
clear(): void {
this.inFlight.clear()
this.cache.clear()
}
/**
* Get the number of requests currently in flight
*/
getInFlightCount(): number {
return this.inFlight.size
}
/**
* Get the number of cached results
*/
getCacheSize(): number {
return this.cache.size
}
/**
* Generate a cache key for search requests
*/
static getSearchKey(query: string, k: number, filter?: any): string {
const filterStr = filter ? JSON.stringify(filter) : ''
return `search:${query}:${k}:${filterStr}`
}
/**
* Generate a cache key for get requests
*/
static getGetKey(id: string): string {
return `get:${id}`
}
/**
* Generate a cache key for similarity requests
*/
static getSimilarKey(id: string, k: number, filter?: any): string {
const filterStr = filter ? JSON.stringify(filter) : ''
return `similar:${id}:${k}:${filterStr}`
}
/**
* Generate a cache key for arbitrary data
*/
static generateKey(data: any): string {
const hash = createHash('sha256')
hash.update(JSON.stringify(data))
return hash.digest('hex').substring(0, 16)
}
}
// Export singleton instance for global deduplication
export const globalDeduplicator = new RequestDeduplicator({
ttl: 5000, // 5 second TTL for global cache
maxSize: 500
})

25
tests/setup.ts
View file

@ -3,10 +3,33 @@
* No direct TensorFlow references - patches are handled internally by Brainy
*/
import { beforeEach, afterEach, afterAll } from 'vitest'
import { beforeAll, beforeEach, afterEach, afterAll } from 'vitest'
import { existsSync, rmSync } from 'fs'
import { join } from 'path'
// Configure model loading for tests
beforeAll(() => {
// Set model path to local models directory
const modelsPath = join(process.cwd(), 'models')
// Check if models exist
if (existsSync(modelsPath)) {
process.env.BRAINY_MODELS_PATH = modelsPath
console.log('✅ Using local models for tests:', modelsPath)
} else {
console.warn('⚠️ Models directory not found, tests may download models')
}
// Disable remote model downloads in tests to avoid network dependencies
process.env.BRAINY_ALLOW_REMOTE_MODELS = 'false'
// Set test environment
process.env.NODE_ENV = 'test'
// Disable verbose logging in tests
process.env.BRAINY_LOG_LEVEL = 'error'
})
// Define the test utilities type for reuse
type TestUtilsType = {
createTestVector: (dimensions: number) => number[]

93
tests/test-setup.ts
View file

@ -1,58 +1,49 @@
/**
* Global test setup - runs before all tests
* Configures mock embeddings to prevent model loading timeouts
* Test Setup Configuration
* Ensures models are available for all tests
*/
import { vi } from 'vitest'
import { beforeAll } from 'vitest'
import { existsSync } from 'fs'
import { join } from 'path'
// Mock the embedding module globally
vi.mock('../src/utils/embedding.js', () => {
// Create a deterministic mock embedding function
const createMockEmbedding = (dimensions: number = 384) => {
return async (input: string | any): Promise<number[]> => {
const vector = new Array(dimensions).fill(0)
if (typeof input === 'string') {
// Use string hash to generate deterministic values
let hash = 0
for (let i = 0; i < input.length; i++) {
hash = ((hash << 5) - hash) + input.charCodeAt(i)
hash = hash & hash
}
// Fill vector with deterministic values
for (let i = 0; i < dimensions; i++) {
vector[i] = Math.sin(hash * (i + 1)) * 0.5 + 0.5
}
} else if (Array.isArray(input) && input.every(x => typeof x === 'number')) {
// Already a vector, just return it (padded/truncated to dimensions)
return input.slice(0, dimensions).concat(new Array(Math.max(0, dimensions - input.length)).fill(0))
}
return vector
}
}
return {
defaultEmbeddingFunction: createMockEmbedding(),
createEmbeddingFunction: () => createMockEmbedding(),
TransformerEmbedding: class {
async init() { return this }
embed = createMockEmbedding()
},
UniversalSentenceEncoder: class {
async init() { return this }
embed = createMockEmbedding()
},
batchEmbed: async (embedFn: any, inputs: string[]) => {
const mockEmbed = createMockEmbedding()
return Promise.all(inputs.map(input => mockEmbed(input)))
},
embeddingFunctions: new Map()
beforeAll(() => {
// Set model path to local models directory
const modelsPath = join(process.cwd(), 'models')
// Check if models exist
if (existsSync(modelsPath)) {
process.env.BRAINY_MODELS_PATH = modelsPath
console.log('✅ Using local models for tests:', modelsPath)
} else {
console.warn('⚠️ Models directory not found, tests may download models')
}
// Disable remote model downloads in tests to avoid network dependencies
process.env.BRAINY_ALLOW_REMOTE_MODELS = 'false'
// Set test environment
process.env.NODE_ENV = 'test'
// Disable verbose logging in tests
process.env.BRAINY_LOG_LEVEL = 'error'
})
// Set test environment flag
globalThis.__BRAINY_TEST_ENV__ = true
console.log('✅ Test setup complete - using mock embeddings')
// Export mock embedding function for tests that need it
export function createMockEmbedding(text: string, dimensions = 384): Float32Array {
// Create deterministic embeddings based on text hash
let hash = 0
for (let i = 0; i < text.length; i++) {
const char = text.charCodeAt(i)
hash = ((hash << 5) - hash) + char
hash = hash & hash // Convert to 32-bit integer
}
const embedding = new Float32Array(dimensions)
for (let i = 0; i < dimensions; i++) {
// Generate values between -1 and 1 based on hash
embedding[i] = Math.sin(hash + i) * 0.5
}
return embedding
}