MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
252 lines
No EOL
8.4 KiB
TypeScript
252 lines
No EOL
8.4 KiB
TypeScript
/**
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* Unified API Tests for Brainy 1.0
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* Tests the 7 core unified methods and new functionality
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*/
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import { describe, it, expect, beforeEach, afterEach } from 'vitest'
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import { BrainyData, NounType, VerbType } from '../src/index.js'
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describe('Brainy 1.0 Unified API', () => {
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let brainy: BrainyData
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beforeEach(async () => {
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brainy = new BrainyData()
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await brainy.init()
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})
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afterEach(async () => {
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if (brainy) {
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await brainy.cleanup()
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}
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})
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describe('Core Method 1: add()', () => {
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it('should add data with smart processing by default', async () => {
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const id = await brainy.add("John Doe is a software engineer at Tech Corp")
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expect(id).toBeDefined()
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expect(typeof id).toBe('string')
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})
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it('should add data with literal processing when specified', async () => {
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const id = await brainy.add("Raw data", {}, { process: 'literal' })
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expect(id).toBeDefined()
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expect(typeof id).toBe('string')
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})
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it('should add data with metadata', async () => {
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const metadata = { type: 'person', age: 30 }
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const id = await brainy.add("Jane Smith", metadata)
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expect(id).toBeDefined()
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})
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it('should add data with encryption', async () => {
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const id = await brainy.add("Sensitive data", {}, { encrypt: true })
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expect(id).toBeDefined()
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})
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})
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describe('Core Method 2: search()', () => {
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beforeEach(async () => {
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// Add test data
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await brainy.add("Alice is a data scientist")
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await brainy.add("Bob is a software engineer")
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await brainy.add("Charlie works in marketing")
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})
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it('should perform vector similarity search', async () => {
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const results = await brainy.search("data scientist", { limit: 5 })
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expect(results).toBeDefined()
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expect(Array.isArray(results)).toBe(true)
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})
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it('should search with metadata filters', async () => {
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await brainy.add("David", { department: "engineering" })
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await brainy.add("Emma", { department: "marketing" })
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const results = await brainy.search("", {
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limit: 10,
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metadata: { department: "engineering" }
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})
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expect(results).toBeDefined()
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expect(Array.isArray(results)).toBe(true)
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})
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it('should search connected nouns', async () => {
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const personId = await brainy.addNoun("Frank", NounType.Person)
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const companyId = await brainy.addNoun("Tech Inc", NounType.Organization)
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await brainy.addVerb(personId, companyId, VerbType.WorksWith)
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const results = await brainy.search("", { limit: 10,
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searchConnectedNouns: true,
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sourceId: personId
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})
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expect(results).toBeDefined()
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})
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})
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describe('Core Method 3: import()', () => {
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it('should import array of data items', async () => {
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const data = [
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"Item 1",
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"Item 2",
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"Item 3"
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]
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const ids = await brainy.import(data)
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expect(ids).toBeDefined()
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expect(Array.isArray(ids)).toBe(true)
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expect(ids.length).toBe(3)
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})
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it('should import with metadata for each item', async () => {
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const data = [
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{ data: "Item 1", metadata: { category: "A" } },
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{ data: "Item 2", metadata: { category: "B" } }
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]
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const ids = await brainy.import(data)
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expect(ids.length).toBe(2)
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})
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})
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describe('Core Method 4: addNoun()', () => {
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it('should add typed noun entities', async () => {
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const personId = await brainy.addNoun("John Doe", NounType.Person)
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expect(personId).toBeDefined()
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const orgId = await brainy.addNoun("ACME Corp", NounType.Organization)
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expect(orgId).toBeDefined()
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const locationId = await brainy.addNoun("San Francisco", NounType.Location)
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expect(locationId).toBeDefined()
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})
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it('should add noun with metadata', async () => {
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const metadata = { age: 25, role: "Engineer" }
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const id = await brainy.addNoun("Jane Smith", NounType.Person, metadata)
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expect(id).toBeDefined()
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})
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})
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describe('Core Method 5: addVerb()', () => {
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it('should create relationships between nouns', async () => {
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const personId = await brainy.addNoun("Bob Wilson", NounType.Person)
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const companyId = await brainy.addNoun("Tech Solutions", NounType.Organization)
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const verbId = await brainy.addVerb(personId, companyId, VerbType.WorksWith)
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expect(verbId).toBeDefined()
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})
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it('should create verb with metadata and weight', async () => {
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const sourceId = await brainy.addNoun("Alice", NounType.Person)
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const targetId = await brainy.addNoun("Project Alpha", NounType.Project)
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const verbId = await brainy.addVerb(
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sourceId,
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targetId,
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VerbType.WorksWith,
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{ role: "Lead Developer", since: "2024" },
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0.9
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)
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expect(verbId).toBeDefined()
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})
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})
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describe('Core Method 6: update()', () => {
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it('should update existing data', async () => {
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const id = await brainy.add("Original data")
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const success = await brainy.update(id, "Updated data")
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expect(success).toBe(true)
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})
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it('should update data and metadata', async () => {
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const id = await brainy.add("Data", { version: 1 })
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const success = await brainy.update(id, "Updated data", { version: 2 })
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expect(success).toBe(true)
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})
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it('should update with cascade option', async () => {
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const personId = await brainy.addNoun("Charlie", NounType.Person)
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const success = await brainy.update(
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personId,
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"Charles Thompson",
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{ fullName: "Charles Thompson" },
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{ cascade: true }
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)
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expect(success).toBe(true)
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})
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})
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describe('Core Method 7: delete()', () => {
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it('should soft delete by default', async () => {
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const id = await brainy.add("Test data for deletion")
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const success = await brainy.delete(id)
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expect(success).toBe(true)
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// Should not appear in search results
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const results = await brainy.search("Test data for deletion", { limit: 10 })
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expect(results.length).toBe(0)
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})
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it('should hard delete when specified', async () => {
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const id = await brainy.add("Data to hard delete")
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const success = await brainy.delete(id, { hard: true })
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expect(success).toBe(true)
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})
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it('should cascade delete related verbs', async () => {
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const personId = await brainy.addNoun("Dave", NounType.Person)
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const projectId = await brainy.addNoun("Project Beta", NounType.Project)
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await brainy.addVerb(personId, projectId, VerbType.WorksWith)
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const success = await brainy.delete(personId, { cascade: true })
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expect(success).toBe(true)
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})
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it('should force delete even with relationships', async () => {
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const personId = await brainy.addNoun("Eve", NounType.Person)
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const taskId = await brainy.addNoun("Important Task", NounType.Task)
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await brainy.addVerb(personId, taskId, VerbType.Owns)
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const success = await brainy.delete(personId, { force: true })
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expect(success).toBe(true)
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})
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})
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describe('Encryption Features', () => {
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it('should encrypt and decrypt configuration', async () => {
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await brainy.setConfig('api-key', 'secret-value', { encrypt: true })
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const value = await brainy.getConfig('api-key', { decrypt: true })
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expect(value).toBe('secret-value')
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})
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it('should encrypt individual data items', async () => {
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const encrypted = await brainy.encryptData('sensitive information')
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expect(encrypted).toBeDefined()
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expect(encrypted).not.toBe('sensitive information')
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const decrypted = await brainy.decryptData(encrypted)
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expect(decrypted).toBe('sensitive information')
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})
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})
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describe('Container & Model Preloading', () => {
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it('should support model preloading configuration', async () => {
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// Test preload configuration (doesn't actually download in tests)
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const config = {
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model: 'Xenova/all-MiniLM-L6-v2',
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cacheDir: './test-models'
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}
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// Just test that the method exists and doesn't throw
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expect(() => BrainyData.preloadModel).not.toThrow()
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})
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it('should support warmup initialization', async () => {
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const options = {
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storage: { forceMemoryStorage: true }
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}
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const warmupOptions = { preloadModel: true }
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// Test that warmup method exists and configuration is accepted
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expect(() => BrainyData.warmup).not.toThrow()
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})
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})
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}) |