feat: add v5.8.0 features - transactions, pagination, and comprehensive docs

**Transaction System (TIER 1.2)**
- Atomic operations with automatic rollback
- 36 unit tests + 35 integration tests passing
- Full documentation in docs/transactions.md

**Duplicate Check Optimization (TIER 1.4)**
- Optimized from O(n) to O(log n) using GraphAdjacencyIndex
- Uses LSM-tree for efficient lookups
- Tests verify performance improvements

**GraphIndex Pagination (TIER 1.5)**
- Production-scale pagination for high-degree nodes
- Backward compatible API
- 18 pagination tests passing

**Comprehensive Filter Documentation (TIER 1.6)**
- Complete operator reference (15 operators)
- Compound filters (anyOf, allOf, nested logic)
- Common query patterns and troubleshooting guide
- 642 lines of new documentation

**README Updates**
- Added Filter & Query Syntax Guide to Essential Reading
- Added Transactions to Core Concepts section

All changes tested and production-ready for v5.8.0 release.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
David Snelling 2025-11-14 10:26:23 -08:00
parent 52e961760d
commit e40fee39d8
21 changed files with 5657 additions and 182 deletions

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/**
* Duplicate Relationship Check Optimization Tests
*
* Tests for v5.8.0 optimization that uses GraphAdjacencyIndex
* for O(log n) duplicate detection instead of O(n) storage scan.
*/
import { describe, it, expect, beforeEach, afterEach } from 'vitest'
import { Brainy } from '../../../src/brainy.js'
import { NounType, VerbType } from '../../../src/types/graphTypes.js'
describe('Duplicate Check Optimization', () => {
let brain: Brainy
beforeEach(async () => {
brain = new Brainy()
await brain.init()
})
afterEach(async () => {
// Cleanup is automatic with memory storage
})
it('should detect duplicate relationships using GraphAdjacencyIndex', async () => {
// Create two entities
const personId = await brain.add({
data: { name: 'Alice' },
type: NounType.Person
})
const orgId = await brain.add({
data: { name: 'Acme Corp' },
type: NounType.Organization
})
// Create first relationship
const relationId1 = await brain.relate({
from: personId,
to: orgId,
type: VerbType.ParticipatesIn
})
// Attempt to create duplicate relationship
const relationId2 = await brain.relate({
from: personId,
to: orgId,
type: VerbType.ParticipatesIn
})
// Should return the same ID (duplicate detected)
expect(relationId2).toBe(relationId1)
// Verify only one relationship exists
const relations = await brain.getRelations({ from: personId })
expect(relations).toHaveLength(1)
expect(relations[0].id).toBe(relationId1)
})
it('should allow different relationship types between same entities', async () => {
const personId = await brain.add({
data: { name: 'Bob' },
type: NounType.Person
})
const projectId = await brain.add({
data: { name: 'Project X' },
type: NounType.Thing
})
// Create first relationship
const relationId1 = await brain.relate({
from: personId,
to: projectId,
type: VerbType.Creates
})
// Create second relationship with different type (not a duplicate)
const relationId2 = await brain.relate({
from: personId,
to: projectId,
type: VerbType.Modifies
})
// Should be different IDs (different verb types)
expect(relationId2).not.toBe(relationId1)
// Verify both relationships exist
const relations = await brain.getRelations({ from: personId })
expect(relations).toHaveLength(2)
// Both relations should exist with different IDs
const relationIds = relations.map(r => r.id)
expect(relationIds).toContain(relationId1)
expect(relationIds).toContain(relationId2)
})
it('should handle duplicate check with many relationships (performance)', async () => {
// Create source entity
const sourceId = await brain.add({
data: { name: 'Hub Entity' },
type: NounType.Thing
})
// Create 50 target entities and relationships
const targetIds: string[] = []
for (let i = 0; i < 50; i++) {
const targetId = await brain.add({
data: { name: `Target ${i}` },
type: NounType.Thing
})
targetIds.push(targetId)
await brain.relate({
from: sourceId,
to: targetId,
type: VerbType.RelatesTo
})
}
// Now attempt to create duplicate with first target (should be fast with GraphIndex)
const startTime = performance.now()
const duplicateId = await brain.relate({
from: sourceId,
to: targetIds[0],
type: VerbType.RelatesTo
})
const elapsed = performance.now() - startTime
// Should be fast with O(log n) GraphIndex lookup (< 10ms even with 50 relationships)
expect(elapsed).toBeLessThan(10)
// Verify duplicate was detected
const relations = await brain.getRelations({ from: sourceId })
expect(relations).toHaveLength(50) // No duplicate created
})
it('should use cached verb data for duplicate check', async () => {
const entityA = await brain.add({
data: { name: 'Entity A' },
type: NounType.Thing
})
const entityB = await brain.add({
data: { name: 'Entity B' },
type: NounType.Thing
})
// Create relationship
const relationId1 = await brain.relate({
from: entityA,
to: entityB,
type: VerbType.RelatesTo
})
// Access GraphIndex to ensure verb is cached
const verbIds = await (brain as any).graphIndex.getVerbIdsBySource(entityA)
expect(verbIds).toContain(relationId1)
// Attempt duplicate (should use cached verb)
const startTime = performance.now()
const relationId2 = await brain.relate({
from: entityA,
to: entityB,
type: VerbType.RelatesTo
})
const elapsed = performance.now() - startTime
// Should be very fast with cached verb (< 5ms)
expect(elapsed).toBeLessThan(5)
expect(relationId2).toBe(relationId1)
})
it('should handle duplicate check across multiple verb types efficiently', async () => {
const person = await brain.add({
data: { name: 'Charlie' },
type: NounType.Person
})
const org = await brain.add({
data: { name: 'BigCorp' },
type: NounType.Organization
})
// Create different relationship types
const rel1 = await brain.relate({
from: person,
to: org,
type: VerbType.Affects
})
const rel2 = await brain.relate({
from: person,
to: org,
type: VerbType.Owns
})
// Verify both relationships exist
let relations = await brain.getRelations({ from: person })
expect(relations).toHaveLength(2)
const relationIds = relations.map(r => r.id)
expect(relationIds).toContain(rel1)
expect(relationIds).toContain(rel2)
// Attempt duplicate of first relationship type
const startTime = performance.now()
const duplicate = await brain.relate({
from: person,
to: org,
type: VerbType.Affects
})
const elapsed = performance.now() - startTime
// Should detect duplicate efficiently (< 20ms)
expect(elapsed).toBeLessThan(20)
expect(duplicate).toBe(rel1)
// Verify still same number of relationships (no duplicate added)
const finalRelations = await brain.getRelations({ from: person })
expect(finalRelations.length).toBe(relations.length)
})
})

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/**
* GraphAdjacencyIndex Pagination Tests (v5.8.0)
*
* Tests for pagination support in GraphIndex methods:
* - getNeighbors() with limit/offset
* - getVerbIdsBySource() with limit/offset
* - getVerbIdsByTarget() with limit/offset
*
* Verifies backward compatibility and new pagination features
*/
import { describe, it, expect, beforeEach } from 'vitest'
import { Brainy } from '../../../src/brainy.js'
import { NounType, VerbType } from '../../../src/types/graphTypes.js'
describe('GraphAdjacencyIndex Pagination', () => {
let brain: Brainy
let centralId: string
let neighborIds: string[]
beforeEach(async () => {
brain = new Brainy()
await brain.init()
// Create central entity
centralId = await brain.add({
data: { name: 'Central Hub' },
type: NounType.Thing
})
// Create 50 neighbor entities with relationships
neighborIds = []
for (let i = 0; i < 50; i++) {
const neighborId = await brain.add({
data: { name: `Neighbor ${i}`, index: i },
type: NounType.Thing
})
neighborIds.push(neighborId)
// Create outgoing relationship from central to neighbor
await brain.relate({
from: centralId,
to: neighborId,
type: VerbType.RelatesTo
})
}
})
describe('getNeighbors() Pagination', () => {
it('should return all neighbors without pagination (backward compatible)', async () => {
const graphIndex = (brain as any).graphIndex
const neighbors = await graphIndex.getNeighbors(centralId)
// Should return all 50 neighbors
expect(neighbors).toHaveLength(50)
expect(neighbors.every((id: string) => neighborIds.includes(id))).toBe(true)
})
it('should return all outgoing neighbors with direction parameter (backward compatible)', async () => {
const graphIndex = (brain as any).graphIndex
// Old API: direction as string
const neighbors = await graphIndex.getNeighbors(centralId, 'out')
expect(neighbors).toHaveLength(50)
})
it('should paginate with limit only', async () => {
const graphIndex = (brain as any).graphIndex
const page1 = await graphIndex.getNeighbors(centralId, { limit: 10 })
expect(page1).toHaveLength(10)
expect(page1.every((id: string) => neighborIds.includes(id))).toBe(true)
})
it('should paginate with offset only', async () => {
const graphIndex = (brain as any).graphIndex
const all = await graphIndex.getNeighbors(centralId)
const offsetResults = await graphIndex.getNeighbors(centralId, { offset: 10 })
// Offset 10 should return all after first 10
expect(offsetResults).toHaveLength(all.length - 10)
})
it('should paginate with both limit and offset', async () => {
const graphIndex = (brain as any).graphIndex
const page1 = await graphIndex.getNeighbors(centralId, { limit: 10, offset: 0 })
const page2 = await graphIndex.getNeighbors(centralId, { limit: 10, offset: 10 })
const page3 = await graphIndex.getNeighbors(centralId, { limit: 10, offset: 20 })
// Each page should have 10 results
expect(page1).toHaveLength(10)
expect(page2).toHaveLength(10)
expect(page3).toHaveLength(10)
// Pages should not overlap
const page1Set = new Set(page1)
const page2Set = new Set(page2)
const page3Set = new Set(page3)
const overlap12 = page1.filter(id => page2Set.has(id))
const overlap23 = page2.filter(id => page3Set.has(id))
expect(overlap12).toHaveLength(0)
expect(overlap23).toHaveLength(0)
})
it('should handle offset beyond total count', async () => {
const graphIndex = (brain as any).graphIndex
const results = await graphIndex.getNeighbors(centralId, { offset: 100 })
// Offset 100 > 50 total → empty array
expect(results).toHaveLength(0)
})
it('should handle limit = 0', async () => {
const graphIndex = (brain as any).graphIndex
const results = await graphIndex.getNeighbors(centralId, { limit: 0 })
expect(results).toHaveLength(0)
})
it('should paginate with direction filter', async () => {
const graphIndex = (brain as any).graphIndex
// Get first 10 outgoing neighbors
const page1 = await graphIndex.getNeighbors(centralId, {
direction: 'out',
limit: 10,
offset: 0
})
expect(page1).toHaveLength(10)
})
it('should handle pagination with incoming direction', async () => {
const graphIndex = (brain as any).graphIndex
// Create some incoming relationships
const sourceId = await brain.add({
data: { name: 'Source' },
type: NounType.Thing
})
await brain.relate({
from: sourceId,
to: centralId,
type: VerbType.RelatesTo
})
// Get incoming neighbors with pagination
const incoming = await graphIndex.getNeighbors(centralId, {
direction: 'in',
limit: 10
})
expect(incoming.length).toBeGreaterThan(0)
})
})
describe('getVerbIdsBySource() Pagination', () => {
it('should return all verb IDs without pagination (backward compatible)', async () => {
const graphIndex = (brain as any).graphIndex
const verbIds = await graphIndex.getVerbIdsBySource(centralId)
// Should return all 50 verb IDs
expect(verbIds).toHaveLength(50)
})
it('should paginate verb IDs with limit', async () => {
const graphIndex = (brain as any).graphIndex
const page1 = await graphIndex.getVerbIdsBySource(centralId, { limit: 10 })
expect(page1).toHaveLength(10)
})
it('should paginate verb IDs with offset', async () => {
const graphIndex = (brain as any).graphIndex
const all = await graphIndex.getVerbIdsBySource(centralId)
const offsetResults = await graphIndex.getVerbIdsBySource(centralId, { offset: 10 })
expect(offsetResults).toHaveLength(all.length - 10)
})
it('should paginate verb IDs with limit and offset', async () => {
const graphIndex = (brain as any).graphIndex
const page1 = await graphIndex.getVerbIdsBySource(centralId, { limit: 10, offset: 0 })
const page2 = await graphIndex.getVerbIdsBySource(centralId, { limit: 10, offset: 10 })
const page3 = await graphIndex.getVerbIdsBySource(centralId, { limit: 10, offset: 20 })
// Each page should have 10 results
expect(page1).toHaveLength(10)
expect(page2).toHaveLength(10)
expect(page3).toHaveLength(10)
// Pages should not overlap
const combined = [...page1, ...page2, ...page3]
const unique = new Set(combined)
expect(unique.size).toBe(30) // All unique
})
it('should handle pagination edge cases for verb IDs', async () => {
const graphIndex = (brain as any).graphIndex
// Offset beyond total
const beyondTotal = await graphIndex.getVerbIdsBySource(centralId, { offset: 100 })
expect(beyondTotal).toHaveLength(0)
// Limit = 0
const zeroLimit = await graphIndex.getVerbIdsBySource(centralId, { limit: 0 })
expect(zeroLimit).toHaveLength(0)
})
})
describe('getVerbIdsByTarget() Pagination', () => {
it('should return all verb IDs targeting an entity (backward compatible)', async () => {
const graphIndex = (brain as any).graphIndex
// Pick a neighbor that's a target of relationships
const targetId = neighborIds[0]
const verbIds = await graphIndex.getVerbIdsByTarget(targetId)
// Should have at least 1 (the relationship from central)
expect(verbIds.length).toBeGreaterThanOrEqual(1)
})
it('should paginate verb IDs by target with limit', async () => {
const graphIndex = (brain as any).graphIndex
// Create entity with many incoming relationships
const popularTarget = await brain.add({
data: { name: 'Popular Target' },
type: NounType.Thing
})
// Create 30 relationships pointing to it
for (let i = 0; i < 30; i++) {
const sourceId = await brain.add({
data: { name: `Source ${i}` },
type: NounType.Thing
})
await brain.relate({
from: sourceId,
to: popularTarget,
type: VerbType.RelatesTo
})
}
// Paginate
const page1 = await graphIndex.getVerbIdsByTarget(popularTarget, { limit: 10 })
const page2 = await graphIndex.getVerbIdsByTarget(popularTarget, { limit: 10, offset: 10 })
expect(page1).toHaveLength(10)
expect(page2).toHaveLength(10)
// No overlap
const overlap = page1.filter((id: string) => page2.includes(id))
expect(overlap).toHaveLength(0)
})
})
describe('Performance with Pagination', () => {
it('should maintain sub-5ms performance with pagination', async () => {
const graphIndex = (brain as any).graphIndex
// Multiple paginated queries should be fast
const startTime = performance.now()
await graphIndex.getNeighbors(centralId, { limit: 10, offset: 0 })
await graphIndex.getNeighbors(centralId, { limit: 10, offset: 10 })
await graphIndex.getNeighbors(centralId, { limit: 10, offset: 20 })
const elapsed = performance.now() - startTime
// 3 paginated queries should complete in < 15ms (< 5ms each)
expect(elapsed).toBeLessThan(15)
})
})
describe('Real-World Use Cases', () => {
it('should efficiently paginate through high-degree node', async () => {
// Simulate popular entity with 100+ relationships
const hub = await brain.add({
data: { name: 'Popular Hub' },
type: NounType.Thing
})
// Create 100 relationships
const targetIds: string[] = []
for (let i = 0; i < 100; i++) {
const targetId = await brain.add({
data: { name: `Target ${i}` },
type: NounType.Thing
})
targetIds.push(targetId)
await brain.relate({
from: hub,
to: targetId,
type: VerbType.RelatesTo
})
}
const graphIndex = (brain as any).graphIndex
// Paginate in chunks of 25
const chunks: string[][] = []
for (let offset = 0; offset < 100; offset += 25) {
const chunk = await graphIndex.getNeighbors(hub, {
direction: 'out',
limit: 25,
offset
})
chunks.push(chunk)
}
// Should have 4 chunks
expect(chunks).toHaveLength(4)
// Each chunk should have 25 items
chunks.forEach(chunk => {
expect(chunk).toHaveLength(25)
})
// All chunks combined should equal total
const allNeighbors = chunks.flat()
expect(allNeighbors).toHaveLength(100)
// No duplicates
const uniqueNeighbors = new Set(allNeighbors)
expect(uniqueNeighbors.size).toBe(100)
})
})
})