- **New Tests Added**: - Introduced multiple test suites covering core functionalities (`core.test.ts`), vector operations (`vector-operations.test.ts`), Node.js environment (`environment.node.test.ts`), browser setup (`environment.browser.test.ts`), and TensorFlow.js-specific behaviors (`tensorflow-patch.test.ts`). - Added performance, scalability, and error-handling tests to ensure robust validation of vector addition, search, and text embedding functionalities. - Introduced setup utilities (`tests/setup.ts`) and standardized test utilities for creating predictable test cases. - **Configuration**: - Created `vitest.config.ts` for custom test configurations, including support for modern test environments (`jsdom`, `happy-dom`) and extended timeouts for asynchronous operations. - **Validation**: - Includes compatibility checks for TensorFlow.js imports and ensures proper handling of `TextEncoder`/`TextDecoder` in Node.js environments. This commit significantly enhances the testing coverage and structure, ensuring Brainy functionality is robust, cross-platform, and aligned with evolving reliability standards.
139 lines
4 KiB
TypeScript
139 lines
4 KiB
TypeScript
/**
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* Browser Environment Tests
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* Tests Brainy functionality in browser environment as a consumer would use it
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*/
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import { describe, it, expect, beforeAll, vi } from 'vitest'
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describe('Brainy in Browser Environment', () => {
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let brainy: any
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beforeAll(async () => {
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// Minimal browser environment setup for jsdom
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if (typeof window !== 'undefined') {
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Object.defineProperty(window, 'TextEncoder', {
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writable: true,
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value: TextEncoder
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})
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Object.defineProperty(window, 'TextDecoder', {
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writable: true,
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value: TextDecoder
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})
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// Mock Web Workers for jsdom
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Object.defineProperty(window, 'Worker', {
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writable: true,
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value: vi.fn().mockImplementation(() => ({
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postMessage: vi.fn(),
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terminate: vi.fn(),
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addEventListener: vi.fn(),
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removeEventListener: vi.fn()
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}))
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})
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}
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// Load brainy library as a consumer would
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brainy = await import('../dist/unified.js')
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})
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describe('Library Loading', () => {
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it('should load brainy library successfully', () => {
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expect(brainy).toBeDefined()
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expect(brainy.BrainyData).toBeDefined()
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expect(typeof brainy.BrainyData).toBe('function')
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})
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it('should detect browser environment correctly', () => {
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expect(brainy.environment.isBrowser).toBe(true)
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expect(brainy.environment.isNode).toBe(false)
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})
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})
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describe('Core Functionality - Add Data and Search', () => {
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it('should create database and add vector data', async () => {
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const db = new brainy.BrainyData({
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dimensions: 3,
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metric: 'euclidean'
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})
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await db.init()
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// Add some test vectors
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await db.add([1, 0, 0], { id: 'item1', label: 'x-axis' })
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await db.add([0, 1, 0], { id: 'item2', label: 'y-axis' })
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await db.add([0, 0, 1], { id: 'item3', label: 'z-axis' })
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// Search should work
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const results = await db.search([1, 0, 0], 1)
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expect(results).toBeDefined()
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expect(results.length).toBe(1)
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expect(results[0].metadata.id).toBe('item1')
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})
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it('should handle text data with embeddings', async () => {
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const db = new brainy.BrainyData({
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embeddingFunction: brainy.createEmbeddingFunction(),
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metric: 'cosine'
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})
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await db.init()
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// Add text items as a consumer would
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await db.addItem('Hello browser world', { id: 'greeting' })
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await db.addItem('Goodbye browser world', { id: 'farewell' })
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// Search with text
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const results = await db.search('Hi there', 1)
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expect(results).toBeDefined()
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expect(results.length).toBeGreaterThan(0)
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expect(results[0].metadata).toHaveProperty('id')
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}, testUtils.timeout)
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it('should handle multiple data types', async () => {
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const db = new brainy.BrainyData({
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dimensions: 2,
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metric: 'euclidean'
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})
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await db.init()
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// Add different types of data
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const testData = [
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{ vector: [1, 1], metadata: { type: 'point', name: 'A' } },
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{ vector: [2, 2], metadata: { type: 'point', name: 'B' } },
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{ vector: [3, 3], metadata: { type: 'point', name: 'C' } }
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]
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for (const item of testData) {
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await db.add(item.vector, item.metadata)
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}
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// Search should return relevant results
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const results = await db.search([1.5, 1.5], 2)
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expect(results.length).toBe(2)
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expect(results.every(r => r.metadata.type === 'point')).toBe(true)
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})
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})
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describe('Error Handling', () => {
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it('should handle invalid configurations gracefully', () => {
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expect(() => {
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new brainy.BrainyData({ dimensions: 0 })
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}).toThrow()
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})
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it('should handle search on empty database', async () => {
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const db = new brainy.BrainyData({
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dimensions: 2,
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metric: 'euclidean'
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})
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await db.init()
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const results = await db.search([1, 2], 5)
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expect(results).toBeDefined()
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expect(Array.isArray(results)).toBe(true)
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expect(results.length).toBe(0)
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})
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})
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})
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