brainy/tests/regression.test.ts
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2025-08-26 12:32:21 -07:00

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TypeScript

/**
* Regression Test Suite for Brainy
*
* This test suite verifies that core functionality works across:
* - All storage adapters
* - All environments (Node.js, Browser simulation)
* - Performance benchmarks
* - Package size limits
* - CLI and API consistency
*
* These tests should ALWAYS pass before any release.
*/
import { describe, it, expect, beforeEach, afterEach } from 'vitest'
import { BrainyData, NounType, VerbType, MemoryStorage, OPFSStorage, createEmbeddingFunction } from '../src/index.js'
import { performance } from 'perf_hooks'
describe('Brainy Regression Tests', () => {
describe('Core Functionality Across Storage Adapters', () => {
const storageAdapters = [
{ name: 'Memory', create: () => new MemoryStorage() },
// Note: FileSystem and OPFS require different test environments
// { name: 'OPFS', create: () => new OPFSStorage() }, // Browser only
// { name: 'FileSystem', create: () => new FileSystemStorage('./test-fs') }, // Node only
]
storageAdapters.forEach(({ name, create }) => {
describe(`${name} Storage`, () => {
let brainy: BrainyData
beforeEach(async () => {
brainy = new BrainyData({
storage: create()
})
await brainy.init()
})
afterEach(async () => {
if (brainy) {
await brainy.cleanup()
}
})
it('should handle basic add and search operations', async () => {
const id = await brainy.add("Test data for regression testing")
expect(id).toBeDefined()
const results = await brainy.search("regression testing", { limit: 5 })
expect(results.length).toBeGreaterThan(0)
expect(results[0].id).toBe(id)
})
it('should handle typed noun and verb operations', async () => {
const personId = await brainy.addNoun("John Doe", NounType.Person)
const companyId = await brainy.addNoun("Tech Corp", NounType.Organization)
const verbId = await brainy.addVerb(personId, companyId, VerbType.WorksWith)
expect(personId).toBeDefined()
expect(companyId).toBeDefined()
expect(verbId).toBeDefined()
})
it('should handle metadata filtering', async () => {
await brainy.add("Item 1", { category: "A", priority: 1 })
await brainy.add("Item 2", { category: "B", priority: 2 })
const results = await brainy.search("", { limit: 10,
metadata: { category: "A" }
})
expect(results.length).toBe(1)
expect(results[0].metadata.category).toBe("A")
})
it('should handle update operations', async () => {
const id = await brainy.add("Original content", { version: 1 })
const success = await brainy.update(id, "Updated content", { version: 2 })
expect(success).toBe(true)
const results = await brainy.search("Updated content", { limit: 5 })
expect(results[0].metadata.version).toBe(2)
})
it('should handle soft delete (default behavior)', async () => {
const id = await brainy.add("Content to delete")
const success = await brainy.delete(id) // Soft delete by default
expect(success).toBe(true)
// Should not appear in search results
const results = await brainy.search("Content to delete", { limit: 10 })
expect(results.length).toBe(0)
})
})
})
})
describe('Performance Benchmarks', () => {
let brainy: BrainyData
beforeEach(async () => {
brainy = new BrainyData()
await brainy.init()
})
afterEach(async () => {
if (brainy) {
await brainy.cleanup()
}
})
it('should add 100 items within performance threshold', async () => {
const startTime = performance.now()
const promises = []
for (let i = 0; i < 100; i++) {
promises.push(brainy.add(`Test item ${i}`))
}
await Promise.all(promises)
const endTime = performance.now()
const duration = endTime - startTime
// Should complete within 10 seconds (generous threshold for CI)
expect(duration).toBeLessThan(10000)
})
it('should search through 1000+ items efficiently', async () => {
// Add test data
const promises = []
for (let i = 0; i < 200; i++) {
promises.push(brainy.add(`Document ${i} about various topics and information`))
}
await Promise.all(promises)
// Benchmark search
const startTime = performance.now()
const results = await brainy.search("document topics", { limit: 10 })
const endTime = performance.now()
const duration = endTime - startTime
expect(results.length).toBeGreaterThan(0)
// Search should complete within 1 second
expect(duration).toBeLessThan(1000)
})
it('should handle batch import efficiently', async () => {
const data = Array.from({ length: 50 }, (_, i) => `Batch item ${i}`)
const startTime = performance.now()
const ids = await brainy.import(data)
const endTime = performance.now()
const duration = endTime - startTime
expect(ids.length).toBe(50)
// Batch import should be faster than individual adds
expect(duration).toBeLessThan(5000)
})
})
describe('Environment Compatibility', () => {
it('should detect Node.js environment correctly', async () => {
const { isNode, isBrowser, isWebWorker } = await import('../src/index.js')
expect(isNode()).toBe(true)
expect(isBrowser()).toBe(false)
expect(isWebWorker()).toBe(false)
})
it('should create embedding functions in Node.js', async () => {
const embeddingFn = await createEmbeddingFunction()
expect(typeof embeddingFn).toBe('function')
const embedding = await embeddingFn("test text")
expect(Array.isArray(embedding)).toBe(true)
expect(embedding.length).toBeGreaterThan(0)
})
})
describe('Data Integrity', () => {
let brainy: BrainyData
beforeEach(async () => {
brainy = new BrainyData()
await brainy.init()
})
afterEach(async () => {
if (brainy) {
await brainy.cleanup()
}
})
it('should maintain data consistency across operations', async () => {
// Add initial data
const id1 = await brainy.add("Document about machine learning")
const id2 = await brainy.add("Article about artificial intelligence")
// Verify both exist
let results = await brainy.search("machine learning", { limit: 10 })
expect(results.some(r => r.id === id1)).toBe(true)
results = await brainy.search("artificial intelligence", { limit: 10 })
expect(results.some(r => r.id === id2)).toBe(true)
// Update one item
await brainy.update(id1, "Updated document about deep learning")
// Verify update
results = await brainy.search("deep learning", { limit: 10 })
expect(results.some(r => r.id === id1)).toBe(true)
// Original content should not be found
results = await brainy.search("machine learning", { limit: 10 })
expect(results.some(r => r.id === id1)).toBe(false)
// Other document should remain unchanged
results = await brainy.search("artificial intelligence", { limit: 10 })
expect(results.some(r => r.id === id2)).toBe(true)
})
it('should handle concurrent operations without corruption', async () => {
const concurrentOperations = []
// Start multiple operations concurrently
for (let i = 0; i < 20; i++) {
concurrentOperations.push(brainy.add(`Concurrent item ${i}`))
}
const ids = await Promise.all(concurrentOperations)
expect(ids.length).toBe(20)
// Verify all items can be found
const results = await brainy.search("Concurrent item", { limit: 25 })
expect(results.length).toBe(20)
})
})
describe('Error Handling & Edge Cases', () => {
let brainy: BrainyData
beforeEach(async () => {
brainy = new BrainyData()
await brainy.init()
})
afterEach(async () => {
if (brainy) {
await brainy.cleanup()
}
})
it('should handle empty search queries gracefully', async () => {
await brainy.add("Some content")
const results = await brainy.search("", { limit: 10 })
expect(Array.isArray(results)).toBe(true)
// Empty query might return all results or none, but should not throw
})
it('should handle invalid IDs gracefully', async () => {
const result = await brainy.update("invalid-id", "new data")
expect(result).toBe(false)
const deleteResult = await brainy.delete("invalid-id")
expect(deleteResult).toBe(false)
})
it('should handle very large text content', async () => {
const largeText = "Lorem ipsum ".repeat(1000) // ~11KB text
const id = await brainy.add(largeText)
expect(id).toBeDefined()
const results = await brainy.search("Lorem ipsum", { limit: 5 })
expect(results.some(r => r.id === id)).toBe(true)
})
it('should handle special characters and unicode', async () => {
const specialText = "Hello 世界! 🌍 Special chars: @#$%^&*()_+-=[]{}|;':\",./<>?"
const id = await brainy.add(specialText)
expect(id).toBeDefined()
const results = await brainy.search("世界", { limit: 5 })
expect(results.some(r => r.id === id)).toBe(true)
})
})
describe('Package Size Regression', () => {
it('should not exceed package size threshold', async () => {
// This is a placeholder test - actual implementation would check built package size
// For now, we'll just verify core imports don't significantly bloat
const coreModules = await import('../src/index.js')
// Verify main exports exist (prevents tree-shaking regression)
expect(coreModules.BrainyData).toBeDefined()
expect(coreModules.NounType).toBeDefined()
expect(coreModules.VerbType).toBeDefined()
expect(coreModules.createEmbeddingFunction).toBeDefined()
})
})
describe('Configuration & Initialization', () => {
it('should initialize with default configuration', async () => {
const brainy = new BrainyData()
await brainy.init()
// Should not throw and should be usable
const id = await brainy.add("Test initialization")
expect(id).toBeDefined()
await brainy.cleanup()
})
it('should initialize with custom configuration', async () => {
const brainy = new BrainyData({
maxNeighbors: 32,
efConstruction: 400,
storage: new MemoryStorage()
})
await brainy.init()
const id = await brainy.add("Test custom config")
expect(id).toBeDefined()
await brainy.cleanup()
})
it('should handle multiple instances', async () => {
const brainy1 = new BrainyData()
const brainy2 = new BrainyData()
await brainy1.init()
await brainy2.init()
// Both should work independently
const id1 = await brainy1.add("Instance 1 data")
const id2 = await brainy2.add("Instance 2 data")
expect(id1).toBeDefined()
expect(id2).toBeDefined()
expect(id1).not.toBe(id2)
// No destroy method needed - instances will be garbage collected
})
})
})