David Snelling
5958502cf3
- **Test Improvements**: - Introduced data-clearing steps (`.clear()`) across critical test cases for ensuring better test isolation and preventing state leakage. - Extended support for overriding global utilities (`testUtils`) and added fallback behaviors for test vector creation. - **Configuration Updates**: - Added support for `distanceFunction` as an alternative to `metric` in vector operations for consistency. - Adjusted and unified asynchronous `timeout` handling across test suites for predictability. - **Purpose**: - These updates improve reliability, maintainability, and clarity in test cases while ensuring compatibility across diverse test environments.
78 lines
2.3 KiB
TypeScript
78 lines
2.3 KiB
TypeScript
import { describe, it, expect } from 'vitest'
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import { euclideanDistance } from '../src/utils/distance.js'
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describe('Vector Operations', () => {
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it('should load brainy library successfully', async () => {
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const brainy = await import('../dist/unified.js')
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expect(brainy).toBeDefined()
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expect(typeof brainy.BrainyData).toBe('function')
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expect(brainy.environment).toBeDefined()
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})
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it('should create and initialize BrainyData instance', async () => {
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const brainy = await import('../dist/unified.js')
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const db = new brainy.BrainyData({
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dimensions: 3,
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distanceFunction: euclideanDistance
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})
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expect(db).toBeDefined()
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expect(db.dimensions).toBe(3)
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await db.init()
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// If we get here without throwing, initialization was successful
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expect(true).toBe(true)
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})
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it('should handle simple 2D vector operations', async () => {
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const brainy = await import('../dist/unified.js')
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const db = new brainy.BrainyData({
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dimensions: 2,
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distanceFunction: euclideanDistance
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})
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await db.init()
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await db.clear() // Clear any existing data
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// Add a simple vector
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await db.add([1, 2], { id: 'test' })
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// Search for the same vector
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const results = await db.search([1, 2], 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.id).toBe('test')
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})
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it('should handle multiple vector searches correctly', async () => {
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const brainy = await import('../dist/unified.js')
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const db = new brainy.BrainyData({
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dimensions: 3,
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distanceFunction: euclideanDistance
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})
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await db.init()
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await db.clear() // Clear any existing data
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// Add multiple vectors
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await db.add([1, 0, 0], { id: 'vec1', type: 'unit' })
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await db.add([0, 1, 0], { id: 'vec2', type: 'unit' })
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await db.add([0, 0, 1], { id: 'vec3', type: 'unit' })
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await db.add([0.5, 0.5, 0], { id: 'vec4', type: 'mixed' })
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// Search for multiple results
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const results = await db.search([1, 0, 0], 3)
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expect(results).toBeDefined()
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expect(results.length).toBeGreaterThanOrEqual(1)
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expect(results.length).toBeLessThanOrEqual(3)
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// The closest should be the exact match
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expect(results[0].metadata.id).toBe('vec1')
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})
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})
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