dpsifr
2322b53a0c
- **Core**: Introduced a new `getStatistics` utility function in `statistics.ts` for fetching database statistics at the root level of the library. Enhanced `BrainyData` methods to ensure metadata includes `id` field and refined statistics calculations, excluding verbs from the noun count. - **Tests**: Added comprehensive test coverage in `statistics.test.ts` for the new utility function, validating proper error handling, statistics accuracy, and consistent results between instance methods and standalone function. - **Storage Config**: Enabled dynamic support for AWS S3, Cloudflare R2, and Google Cloud Storage in web service configuration, utilizing environment variables for adapter setup. Addressed a race condition in `FileSystemStorage` initialization by deferring path module imports. **Purpose**: Enhance database analytics by introducing a reusable `getStatistics` function, improve flexibility in storage configuration, and ensure robust testing for reliability and accuracy.
76 lines
No EOL
2.3 KiB
TypeScript
76 lines
No EOL
2.3 KiB
TypeScript
/**
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* Statistics Functionality Tests
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* Tests the getStatistics function as a consumer would use it
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*/
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import { describe, it, expect, beforeAll } from 'vitest'
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describe('Brainy Statistics Functionality', () => {
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let brainy: any
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beforeAll(async () => {
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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 Exports', () => {
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it('should export getStatistics function at the root level', () => {
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expect(brainy.getStatistics).toBeDefined()
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expect(typeof brainy.getStatistics).toBe('function')
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})
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})
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describe('getStatistics Functionality', () => {
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it('should retrieve statistics from a BrainyData instance', async () => {
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// Create a BrainyData instance
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const data = new brainy.BrainyData({
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dimensions: 3,
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metric: 'euclidean'
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})
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await data.init()
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await data.clear() // Clear any existing data
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// Add some test data
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await data.add([1, 0, 0], { id: 'v1', label: 'x-axis' })
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await data.add([0, 1, 0], { id: 'v2', label: 'y-axis' })
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await data.add([0, 0, 1], { id: 'v3', label: 'z-axis' })
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// Add a verb
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await data.addVerb('v1', 'v2', [0.5, 0.5, 0], { type: 'connected_to' })
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// Get statistics using the standalone function
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const stats = await brainy.getStatistics(data)
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// Verify statistics
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expect(stats).toBeDefined()
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expect(stats.nounCount).toBe(3)
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expect(stats.verbCount).toBe(1)
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expect(stats.metadataCount).toBe(3) // Each noun has metadata
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expect(stats.hnswIndexSize).toBe(3)
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})
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it('should throw an error when no instance is provided', async () => {
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await expect(brainy.getStatistics()).rejects.toThrow('BrainyData instance must be provided')
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})
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it('should match the instance method results', async () => {
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// Create a BrainyData instance
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const data = new brainy.BrainyData({
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dimensions: 3
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})
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await data.init()
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// Add some test data
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await data.add([1, 1, 1], { id: 'test1' })
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// Get statistics using both methods
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const instanceStats = await data.getStatistics()
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const functionStats = await brainy.getStatistics(data)
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// Verify they match
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expect(functionStats).toEqual(instanceStats)
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})
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})
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}) |