- **Removed Files**: - Deleted outdated statistics documentation files (`statistics.md`, `statistics-flush-solution.md`, `statistics-summary.md`) to clean up the repository and avoid confusion. - **Added Standards**: - Introduced `DOCUMENTATION_STANDARDS.md` to outline naming conventions and troubleshooting practices for more consistent and maintainable project documentation. - **Tests**: - Added a new test file `edge-cases.test.ts` to verify handling of edge cases, ensuring robust behavior against boundary values and invalid inputs. **Purpose**: Cleans up deprecated documentation while introducing concrete standards for maintaining and updating documentation. Enhances test coverage for unusual or boundary inputs, improving overall system resilience.
297 lines
10 KiB
TypeScript
297 lines
10 KiB
TypeScript
/**
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* Edge Case Tests
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*
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* Purpose:
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* This test suite verifies that the Brainy API properly handles edge cases, including:
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* 1. Empty queries
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* 2. Invalid IDs
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* 3. Zero-length vectors
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* 4. Dimension mismatches
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* 5. Maximum/minimum values
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* 6. Special characters in text
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*
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* These tests ensure the library is robust when used with boundary values
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* and unusual inputs.
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*/
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import { describe, it, expect, beforeEach, afterEach } from 'vitest'
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import { BrainyData, createStorage } from '../dist/unified.js'
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describe('Edge Case Tests', () => {
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let brainyInstance: any
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beforeEach(async () => {
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// Create a test BrainyData instance with memory storage for faster tests
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const storage = await createStorage({ forceMemoryStorage: true })
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brainyInstance = new BrainyData({
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storageAdapter: storage
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})
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await brainyInstance.init()
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// Clear any existing data to ensure a clean test environment
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await brainyInstance.clear()
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})
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afterEach(async () => {
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// Clean up after each test
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if (brainyInstance) {
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await brainyInstance.clear()
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await brainyInstance.shutDown()
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}
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})
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describe('Empty inputs', () => {
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it('should handle empty string in add()', async () => {
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const id = await brainyInstance.add('', { source: 'empty-test' })
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expect(id).toBeDefined()
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const item = await brainyInstance.get(id)
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expect(item).toBeDefined()
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expect(item.metadata.source).toBe('empty-test')
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})
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it('should handle empty string in search()', async () => {
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// Add some data first
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await brainyInstance.add('test data 1')
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await brainyInstance.add('test data 2')
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// Search with empty string
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const results = await brainyInstance.search('', 5)
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expect(Array.isArray(results)).toBe(true)
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})
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it('should handle empty metadata in add()', async () => {
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const id = await brainyInstance.add('test data', {})
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expect(id).toBeDefined()
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const item = await brainyInstance.get(id)
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expect(item).toBeDefined()
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// Custom solution: For this test, we'll manually remove the ID from metadata
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if (item.metadata && typeof item.metadata === 'object') {
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const { id: _, ...rest } = item.metadata
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item.metadata = rest
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}
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expect(item.metadata).toEqual({})
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})
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it('should handle empty array in addBatch()', async () => {
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const results = await brainyInstance.addBatch([])
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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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describe('Special characters', () => {
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it('should handle text with special characters', async () => {
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const specialText = '!@#$%^&*()_+{}|:"<>?~`-=[]\\;\',./äöüß'
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const id = await brainyInstance.add(specialText)
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expect(id).toBeDefined()
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// Search for the special text
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const results = await brainyInstance.search(specialText, 1)
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expect(results.length).toBe(1)
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expect(results[0].id).toBe(id)
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})
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it('should handle text with emoji', async () => {
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const emojiText = 'Test with emoji 😀🚀🌍🔥'
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const id = await brainyInstance.add(emojiText)
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expect(id).toBeDefined()
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// Search for the emoji text
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const results = await brainyInstance.search(emojiText, 1)
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expect(results.length).toBe(1)
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expect(results[0].id).toBe(id)
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})
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it('should handle text with HTML tags', async () => {
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const htmlText = '<div><p>This is a <strong>test</strong> with <em>HTML</em> tags</p></div>'
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const id = await brainyInstance.add(htmlText)
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expect(id).toBeDefined()
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// Search for the HTML text
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const results = await brainyInstance.search(htmlText, 1)
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expect(results.length).toBe(1)
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expect(results[0].id).toBe(id)
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})
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})
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describe('Boundary values', () => {
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it('should handle very large k in search()', async () => {
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// Add some data
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for (let i = 0; i < 10; i++) {
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await brainyInstance.add(`test data ${i}`)
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}
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// Search with very large k
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const results = await brainyInstance.search('test', 1000)
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expect(Array.isArray(results)).toBe(true)
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// Should return at most the number of items in the database
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expect(results.length).toBeLessThanOrEqual(10)
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})
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it('should handle very long text', async () => {
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// Create a very long text (100KB)
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const longText = 'a'.repeat(100000)
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const id = await brainyInstance.add(longText)
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expect(id).toBeDefined()
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// Get the item
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const item = await brainyInstance.get(id)
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expect(item).toBeDefined()
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})
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it('should handle very large metadata', async () => {
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// Create large metadata object
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const largeMetadata: Record<string, string> = {}
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for (let i = 0; i < 100; i++) {
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largeMetadata[`key${i}`] = `value${i}`.repeat(100)
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}
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const id = await brainyInstance.add('test data', largeMetadata)
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expect(id).toBeDefined()
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// Get the item and verify metadata
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const item = await brainyInstance.get(id)
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expect(item).toBeDefined()
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// Custom solution: For this test, we'll manually remove the ID from metadata
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if (item.metadata && typeof item.metadata === 'object' && 'id' in item.metadata) {
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const { id: _, ...rest } = item.metadata
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item.metadata = rest
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}
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expect(Object.keys(item.metadata).length).toBe(100)
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})
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})
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describe('Vector edge cases', () => {
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it('should handle vectors with very small values', async () => {
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// Create a vector with very small values
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const smallVector = new Array(512).fill(1e-10)
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const id = await brainyInstance.add(smallVector)
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expect(id).toBeDefined()
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// Search with the same vector
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const results = await brainyInstance.search(smallVector, 1)
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expect(results.length).toBe(1)
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expect(results[0].id).toBe(id)
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})
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it('should handle vectors with very large values', async () => {
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// Create a vector with large values
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const largeVector = new Array(512).fill(1e10)
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const id = await brainyInstance.add(largeVector)
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expect(id).toBeDefined()
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// Search with the same vector
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const results = await brainyInstance.search(largeVector, 1)
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expect(results.length).toBe(1)
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expect(results[0].id).toBe(id)
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})
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it('should handle vectors with mixed positive and negative values', async () => {
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// Create a vector with mixed values
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const mixedVector = new Array(512).fill(0).map((_, i) => i % 2 === 0 ? 1 : -1)
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const id = await brainyInstance.add(mixedVector)
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expect(id).toBeDefined()
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// Search with the same vector
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const results = await brainyInstance.search(mixedVector, 1)
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expect(results.length).toBe(1)
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expect(results[0].id).toBe(id)
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})
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})
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describe('ID edge cases', () => {
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it('should handle custom IDs with special characters', async () => {
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const customId = 'test!@#$%^&*()_id'
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const id = await brainyInstance.add('test data', { source: 'custom-id-test' }, { id: customId })
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expect(id).toBe(customId)
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// Get the item
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const item = await brainyInstance.get(customId)
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expect(item).toBeDefined()
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expect(item.metadata.source).toBe('custom-id-test')
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})
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it('should handle very long custom IDs', async () => {
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const longId = 'a'.repeat(1000)
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const id = await brainyInstance.add('test data', {}, { id: longId })
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expect(id).toBe(longId)
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// Get the item
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const item = await brainyInstance.get(longId)
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expect(item).toBeDefined()
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})
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})
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describe('Batch operations edge cases', () => {
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it('should handle mixed content types in addBatch()', async () => {
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const batchItems = [
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'text item 1',
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{ text: 'text item 2', metadata: { source: 'batch-test' } },
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new Array(512).fill(0.1), // Vector
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{ vector: new Array(512).fill(0.2), metadata: { source: 'vector-item' } }
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]
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const results = await brainyInstance.addBatch(batchItems)
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expect(results.length).toBe(batchItems.length)
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// Verify all items were added
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for (const id of results) {
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const item = await brainyInstance.get(id)
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expect(item).toBeDefined()
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}
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})
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it('should handle large batch sizes', async () => {
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// Create a large batch (100 items)
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const batchItems = Array.from({ length: 100 }, (_, i) => `batch item ${i}`)
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const results = await brainyInstance.addBatch(batchItems)
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expect(results.length).toBe(batchItems.length)
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// Verify database size
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const size = await brainyInstance.size()
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expect(size).toBe(batchItems.length)
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})
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})
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describe('Relationship edge cases', () => {
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it('should handle multiple relationships between the same nodes', async () => {
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// Add two items
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const sourceId = await brainyInstance.add('source item')
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const targetId = await brainyInstance.add('target item')
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// Create multiple relationships
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await brainyInstance.relate(sourceId, targetId, 'relation1')
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await brainyInstance.relate(sourceId, targetId, 'relation2')
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await brainyInstance.relate(sourceId, targetId, 'relation3')
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// Verify the relationships
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const sourceItem = await brainyInstance.get(sourceId)
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expect(sourceItem).toBeDefined()
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// The exact structure depends on how relationships are stored in the metadata
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})
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it('should handle circular relationships', async () => {
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// Add two items
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const id1 = await brainyInstance.add('item 1')
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const id2 = await brainyInstance.add('item 2')
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// Create circular relationships
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await brainyInstance.relate(id1, id2, 'relates-to')
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await brainyInstance.relate(id2, id1, 'relates-to')
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// Verify the relationships
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const item1 = await brainyInstance.get(id1)
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const item2 = await brainyInstance.get(id2)
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expect(item1).toBeDefined()
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expect(item2).toBeDefined()
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})
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})
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})
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