brainy/tests/setup-unit.ts
David Snelling 1aa1f22d22 🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™
MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance.

🎯 KEY FEATURES:
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 Triple Intelligence™ Engine
  - Unified Vector + Metadata + Graph search
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 API Consolidation
  - 15+ search methods → 2 clean APIs
  - search() for vector similarity
  - find() for natural language queries

 Natural Language Processing
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  - "Show me recent React components with tests"

 Zero Configuration
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  - Built-in embedding models (no API keys)
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 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:
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• 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:
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• 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

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• TypeScript compilation: 153 errors → 0
• Memory usage: 200MB → 24MB baseline
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🛠️ CLI FEATURES:
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• 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:
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• Professional README with examples
• Quick Start guide (5 minutes)
• Enterprise Features guide
• Migration guide from 1.x
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• Architecture documentation

🌟 USE CASES:
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• AI memory layer for chatbots
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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.
2025-08-26 12:32:21 -07:00

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TypeScript

/**
* Unit Test Setup - Mock ALL AI functionality
*
* This ensures unit tests are fast, reliable, and memory-safe
* while still testing all business logic thoroughly
*/
// Mock the embedding function globally for all unit tests
const mockEmbedding = async (data: string | string[]) => {
// Create deterministic embeddings based on content for consistent testing
const texts = Array.isArray(data) ? data : [data]
const embeddings = texts.map(text => {
const str = typeof text === 'string' ? text : JSON.stringify(text)
const vector = new Array(384).fill(0)
// Create semi-realistic embeddings based on text content
for (let i = 0; i < Math.min(str.length, 384); i++) {
vector[i] = (str.charCodeAt(i % str.length) % 256) / 256
}
// Add position-based variation
for (let i = 0; i < 384; i++) {
vector[i] += Math.sin(i * 0.1 + str.length) * 0.1
}
return vector
})
// Return single embedding for single input, array for multiple inputs
return Array.isArray(data) ? embeddings : embeddings[0]
}
// Mock the Triple Intelligence system for consolidated API
const mockTripleIntelligence = {
async find(query: any, options: any = {}) {
// Mock implementation that simulates the consolidated find() method
const limit = options.limit || 10
const results = []
// Generate mock results based on query
for (let i = 0; i < Math.min(limit, 3); i++) {
results.push({
id: `mock-${i}`,
metadata: { name: `Mock Result ${i}`, score: 0.9 - (i * 0.1) },
score: 0.9 - (i * 0.1),
fusionScore: 0.9 - (i * 0.1)
})
}
// Apply metadata filtering if specified
if (options.where || (query && typeof query === 'object' && query.where)) {
const filter = options.where || query.where
return results.filter(result => {
// Mock metadata filtering logic
if (filter.language && result.metadata.language !== filter.language) return false
if (filter.year && typeof filter.year === 'object') {
const year = result.metadata.year || 2020
if (filter.year.greaterThan && year <= filter.year.greaterThan) return false
if (filter.year.lessThan && year >= filter.year.lessThan) return false
}
return true
})
}
return results
}
}
// Set up global mocks before any tests run
beforeAll(() => {
console.log('🧪 Unit Test Environment: Mocking AI functions for fast, reliable tests')
// Mock environment to prevent real model loading
process.env.BRAINY_UNIT_TEST = 'true'
process.env.BRAINY_ALLOW_REMOTE_MODELS = 'false'
// Set up global test environment marker
;(globalThis as any).__BRAINY_UNIT_TEST__ = true
// Mock Triple Intelligence for consolidated API
;(globalThis as any).__MOCK_TRIPLE_INTELLIGENCE__ = mockTripleIntelligence
})
afterAll(() => {
// Clean up
delete process.env.BRAINY_UNIT_TEST
delete (globalThis as any).__BRAINY_UNIT_TEST__
delete (globalThis as any).__MOCK_TRIPLE_INTELLIGENCE__
})
export { mockEmbedding, mockTripleIntelligence }