* feat: Complete Brainy 1.0 Great Cleanup 🎯 THE GREAT CLEANUP - Making Brainy Beautiful BREAKING CHANGES: - Removed addSmart() method (use add() - it's smart by default) - Removed duplicate Pipeline classes (consolidated into ONE Cortex) - Removed 40+ CLI commands (now just 5 clean commands) ✅ WHAT'S DONE: - Delete duplicate files: sequentialPipeline.ts, cortex-legacy.ts, serviceIntegration.ts - Consolidated into ONE Cortex class (the orchestrator) - Pipeline class now delegates to Cortex (backward compatibility) - Clean CLI: add, import, search, status, help (ONE way to do everything) - Interactive mode for beginners 📈 RESULTS: - 5 CLI commands (was 40+) - 1 Pipeline system (was 3+) - Clean, obvious naming - Beautiful user experience This achieves the vision: ONE way to do everything, elegant and powerful. * fix: Restore essential CLI commands and remove backward compatibility ✅ IMPROVEMENTS: - Remove Pipeline delegation complexity - Pipeline IS Cortex now - Restore essential commands: config, cloud, migrate - Keep core clean: add, import, search, status, help - Interactive help updated with all options 🎯 FINAL CLI (8 commands): - Core: add, import, search, status, help - Essential: config, cloud, migrate ✅ NO FUNCTIONALITY LOST: - Zero-config and dynamic adaptations intact - All storage adapters working - Premium Brain Cloud integration restored - Migration tools available Result: Perfect balance of simplicity and functionality * feat: Enhance status command with comprehensive statistics display ✨ ENHANCED STATUS COMMAND: - Full integration with brainyData.getStatistics() - Beautiful, organized display of all statistics - Three modes: default (comprehensive), --simple (quick), --verbose (raw JSON) 📊 STATISTICS DISPLAYED: - Core Database: items, nouns, verbs, documents - Storage Information: type, size, location - Performance Metrics: query times, cache hit rates - Vector Index: dimensions, vector count, index size - Memory Usage: heap, RSS breakdown - Active Augmentations: with descriptions - Configuration: with sensitive data hidden - Raw JSON option for developers 🎯 USAGE: - brainy status (comprehensive view) - brainy status --simple (quick overview) - brainy status --verbose (everything + raw JSON) Perfect for monitoring brain health and performance! * feat: Add per-service statistics and field discovery to CLI 🎯 ENHANCED STATISTICS DISPLAY: - Show per-service breakdown of nouns, verbs, metadata - Display serviceBreakdown from getStatistics() properly - Beautiful formatting for multi-service environments 🔍 FIELD DISCOVERY FOR ADVANCED SEARCH: - New section in 'brainy status' shows available filter fields - Added --fields option to search command - Usage examples provided for complex filtering - Integrates with getFilterFields() method 📊 USAGE EXAMPLES: - brainy status (shows per-service stats + available fields) - brainy search 'query' --fields (field discovery) - brainy search 'query' --filter '{"type":"person"}' (advanced filtering) Perfect for developers doing complex queries and multi-service deployments! * feat: Restore and enhance brainy chat with multi-model AI support 🎯 RESTORED CHAT FUNCTIONALITY: - Complete brainy chat command with rich options - Interactive mode with session management - Chat history search and session switching - Auto-discovery of previous sessions 🤖 MULTI-MODEL AI INTEGRATION: - Local models: Ollama/LLaMA (default) - OpenAI: GPT-3.5/GPT-4 support - Claude: Anthropic integration - Custom models: configurable base URLs 💬 RICH CHAT FEATURES: - Session management: list, switch, resume - History: view previous conversations - Search: find messages across all sessions - Context-aware: uses your brain data for responses 🔧 USAGE EXAMPLES: - brainy chat (interactive mode) - brainy chat 'question' (single message) - brainy chat --list (show sessions) - brainy chat --model openai --api-key sk-... (OpenAI) - brainy chat --model claude --api-key sk-ant-... (Claude) Perfect for talking to your data with any AI model! * feat: Complete Brainy 1.0.0-rc.1 unified API implementation - Implement 7 core unified API methods (add, search, import, addNoun, addVerb, update, delete) - Add universal encryption system with encryptData/decryptData methods - Add container deployment support with model preloading - Implement soft delete by default for better performance - Add searchVerbs() and getNounWithVerbs() for graph traversal - Reduce package size by 16% despite major feature additions - Create comprehensive CHANGELOG.md and MIGRATION.md - Consolidate CLI from 40+ to 9 clean commands - All scaling optimizations preserved and enhanced BREAKING CHANGES: - addSmart() method removed (use add() - smart by default) - CLI commands consolidated and renamed - Pipeline classes unified into single Cortex class This is the complete 1.0 release candidate with all planned features implemented and tested.
251 lines
No EOL
8.3 KiB
TypeScript
251 lines
No EOL
8.3 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", 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("", 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("", 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", 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, { soft: false })
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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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}) |