fix: Resolve soft delete and add encrypted config support
- Fix soft delete functionality by filtering out deleted items in search results - Add support for encrypted configuration storage and retrieval - Copy test suite and vitest config to ensure all functionality works - Maintain all core brainy functionality during repository cleanup
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62 changed files with 13792 additions and 6 deletions
58
tests/test-setup.ts
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58
tests/test-setup.ts
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/**
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* Global test setup - runs before all tests
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* Configures mock embeddings to prevent model loading timeouts
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*/
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import { vi } from 'vitest'
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// Mock the embedding module globally
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vi.mock('../src/utils/embedding.js', () => {
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// Create a deterministic mock embedding function
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const createMockEmbedding = (dimensions: number = 384) => {
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return async (input: string | any): Promise<number[]> => {
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const vector = new Array(dimensions).fill(0)
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if (typeof input === 'string') {
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// Use string hash to generate deterministic values
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let hash = 0
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for (let i = 0; i < input.length; i++) {
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hash = ((hash << 5) - hash) + input.charCodeAt(i)
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hash = hash & hash
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}
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// Fill vector with deterministic values
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for (let i = 0; i < dimensions; i++) {
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vector[i] = Math.sin(hash * (i + 1)) * 0.5 + 0.5
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}
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} else if (Array.isArray(input) && input.every(x => typeof x === 'number')) {
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// Already a vector, just return it (padded/truncated to dimensions)
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return input.slice(0, dimensions).concat(new Array(Math.max(0, dimensions - input.length)).fill(0))
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}
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return vector
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}
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}
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return {
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defaultEmbeddingFunction: createMockEmbedding(),
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createEmbeddingFunction: () => createMockEmbedding(),
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TransformerEmbedding: class {
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async init() { return this }
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embed = createMockEmbedding()
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},
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UniversalSentenceEncoder: class {
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async init() { return this }
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embed = createMockEmbedding()
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},
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batchEmbed: async (embedFn: any, inputs: string[]) => {
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const mockEmbed = createMockEmbedding()
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return Promise.all(inputs.map(input => mockEmbed(input)))
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},
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embeddingFunctions: new Map()
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}
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})
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// Set test environment flag
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globalThis.__BRAINY_TEST_ENV__ = true
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console.log('✅ Test setup complete - using mock embeddings')
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