David Snelling
387179f370
- **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.
98 lines
2.8 KiB
TypeScript
98 lines
2.8 KiB
TypeScript
import { describe, it, expect } from 'vitest'
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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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metric: 'euclidean'
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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 perform basic vector operations without TensorFlow', 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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metric: 'euclidean'
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})
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await db.init()
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// Add test vectors
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await db.add([1, 0, 0], { id: 'x-axis', label: 'X axis vector' })
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await db.add([0, 1, 0], { id: 'y-axis', label: 'Y axis vector' })
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await db.add([0, 0, 1], { id: 'z-axis', label: 'Z axis vector' })
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// Search for similar vector
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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).toBeGreaterThan(0)
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expect(results[0].metadata.id).toBe('x-axis')
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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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metric: 'euclidean'
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})
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await db.init()
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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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metric: 'euclidean'
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})
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await db.init()
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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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