brainy/tests/unit/neural/domain-time-clustering.test.ts
David Snelling 773c5171c3 fix: flush all native providers on shutdown to prevent data loss
Shutdown/close/flush now properly flushes all 4 components in parallel:
metadataIndex, graphIndex, HNSW dirty nodes, and storage counts. Previously
only counts were flushed, causing native provider data loss on restart.

Also:
- Wire roaring, msgpack, entityIdMapper provider consumption from plugins
- Fix allOf filter O(n²) intersection → O(n) Set-based
- Fix ne/exists negation filter to use Set-based exclusion
- Add setMsgpackImplementation() swap in SSTable for native msgpack
- Add setRoaringImplementation() swap for native CRoaring bitmaps
- Add getAllIntIds() to EntityIdMapper for bitmap operations
- Remove TypeAwareHNSWIndex from default index creation path
- Export memory detection utilities from internals
- Clean up 26 permanently-skipped dead tests
2026-02-01 16:23:49 -08:00

108 lines
3.3 KiB
TypeScript

/**
* Domain and Time Clustering Tests
*
* Tests for clusterByDomain() and clusterByTime() methods
* that were previously stub implementations.
*/
import { describe, it, expect, beforeEach } from 'vitest'
import { Brainy } from '../../../src/brainy'
import { NounType } from '../../../src/types/graphTypes'
import { createAddParams } from '../../helpers/test-factory'
describe('Domain and Time Clustering', () => {
let brain: Brainy
beforeEach(async () => {
brain = new Brainy({
enableCache: false,
storage: { type: 'memory' } // Use memory storage for tests
})
await brain.init()
})
describe('clusterByTime() - Temporal clustering', () => {
it('should cluster entities by createdAt timestamps', async () => {
// These will use the auto-generated createdAt timestamps
const id1 = await brain.add(createAddParams({
data: 'First item'
}))
// Wait a bit to ensure different timestamps
await new Promise(resolve => setTimeout(resolve, 10))
const id2 = await brain.add(createAddParams({
data: 'Second item'
}))
const now = new Date()
const timeWindows = [
{
start: new Date(now.getTime() - 60 * 60 * 1000), // Last hour
end: new Date(now.getTime() + 60 * 60 * 1000), // Next hour (to include all)
label: 'Now'
}
]
const clusters = await brain.neural().clusterByTime('createdAt', timeWindows, {
timeField: 'createdAt',
windows: timeWindows
})
expect(Array.isArray(clusters)).toBe(true)
// Both items should be in the 'Now' time window
const nowCluster = clusters.find(c => c.timeWindow?.label === 'Now')
expect(nowCluster).toBeDefined()
if (nowCluster) {
expect(nowCluster.members.length).toBeGreaterThanOrEqual(2)
}
})
it('should handle empty time windows gracefully', async () => {
const futureStart = new Date(Date.now() + 365 * 24 * 60 * 60 * 1000) // 1 year from now
const futureEnd = new Date(Date.now() + 2 * 365 * 24 * 60 * 60 * 1000) // 2 years from now
const timeWindows = [
{
start: futureStart,
end: futureEnd,
label: 'Future'
}
]
const clusters = await brain.neural().clusterByTime('createdAt', timeWindows, {
timeField: 'createdAt',
windows: timeWindows
})
// Should return empty array or array with empty clusters
expect(Array.isArray(clusters)).toBe(true)
})
})
describe('Cross-domain functionality', () => {
it('should find cross-domain clusters when enabled', async () => {
// Add entities from different domains with similar content
await brain.add(createAddParams({
data: 'Machine learning and artificial intelligence',
type: NounType.Document,
metadata: { category: 'tech' }
}))
await brain.add(createAddParams({
data: 'AI and neural networks',
type: NounType.Concept,
metadata: { category: 'science' }
}))
const clusters = await brain.neural().clusterByDomain('category', {
minClusterSize: 1,
preserveDomainBoundaries: false, // Enable cross-domain clustering
crossDomainThreshold: 0.5
})
expect(Array.isArray(clusters)).toBe(true)
expect(clusters.length).toBeGreaterThan(0)
})
})
})