David Snelling
4949b6a629
✅ MAJOR BREAKTHROUGH - Session 5 Success: - Unit tests: 18/19 passing with mocked AI (<500MB RAM) - Integration tests: Real AI models loading successfully - Core features: Real embeddings, CRUD operations verified - Architecture: All 11 augmentations, worker threads operational 📋 CRITICAL FINDINGS: - Real AI models load and cache correctly - 384D embeddings generate properly - Core CRUD operations work with real transformers - Memory management effective for production ⚠️ RELEASE BLOCKER IDENTIFIED: - Search operations timeout in test environment - Affects: search(), find(), clustering functionality - Root cause: Likely worker communication during HNSW search - Priority: MUST fix before 2.0.0 release 🎯 NEXT SESSION PRIORITIES: 1. Debug and fix search timeout issue 2. Verify search/find/clustering work in production 3. Final documentation cleanup 4. Release preparation Confidence: 90% ready (pending search functionality verification)
52 lines
No EOL
1.6 KiB
TypeScript
52 lines
No EOL
1.6 KiB
TypeScript
/**
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* Unit Test Setup - Mock ALL AI functionality
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*
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* This ensures unit tests are fast, reliable, and memory-safe
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* while still testing all business logic thoroughly
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*/
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// Mock the embedding function globally for all unit tests
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const mockEmbedding = async (data: string | string[]) => {
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// Create deterministic embeddings based on content for consistent testing
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const texts = Array.isArray(data) ? data : [data]
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const embeddings = texts.map(text => {
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const str = typeof text === 'string' ? text : JSON.stringify(text)
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const vector = new Array(384).fill(0)
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// Create semi-realistic embeddings based on text content
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for (let i = 0; i < Math.min(str.length, 384); i++) {
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vector[i] = (str.charCodeAt(i % str.length) % 256) / 256
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}
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// Add position-based variation
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for (let i = 0; i < 384; i++) {
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vector[i] += Math.sin(i * 0.1 + str.length) * 0.1
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}
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return vector
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})
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// Return single embedding for single input, array for multiple inputs
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return Array.isArray(data) ? embeddings : embeddings[0]
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}
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// Set up global mocks before any tests run
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beforeAll(() => {
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console.log('🧪 Unit Test Environment: Mocking AI functions for fast, reliable tests')
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// Mock environment to prevent real model loading
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process.env.BRAINY_UNIT_TEST = 'true'
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process.env.BRAINY_ALLOW_REMOTE_MODELS = 'false'
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// Set up global test environment marker
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;(globalThis as any).__BRAINY_UNIT_TEST__ = true
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})
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afterAll(() => {
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// Clean up
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delete process.env.BRAINY_UNIT_TEST
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delete (globalThis as any).__BRAINY_UNIT_TEST__
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})
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export { mockEmbedding } |