208 lines
6.5 KiB
TypeScript
208 lines
6.5 KiB
TypeScript
|
|
/**
|
||
|
|
* VFS-Knowledge Separation Test (v4.3.3)
|
||
|
|
*
|
||
|
|
* Tests Option 3C Architecture:
|
||
|
|
* - VFS entities marked with isVFS: true
|
||
|
|
* - brain.find() excludes VFS by default
|
||
|
|
* - brain.find({ includeVFS: true }) includes VFS
|
||
|
|
* - Enables relationships between VFS and knowledge
|
||
|
|
*/
|
||
|
|
|
||
|
|
import { describe, it, expect, beforeAll, afterAll } from 'vitest'
|
||
|
|
import { Brainy } from '../../src/brainy.js'
|
||
|
|
import { NounType } from '../../src/types/graphTypes.js'
|
||
|
|
import * as fs from 'fs'
|
||
|
|
import * as path from 'path'
|
||
|
|
|
||
|
|
describe('VFS-Knowledge Separation (Option 3C)', () => {
|
||
|
|
const testDir = path.join(process.cwd(), 'test-vfs-knowledge-separation')
|
||
|
|
let brain: Brainy
|
||
|
|
|
||
|
|
beforeAll(async () => {
|
||
|
|
// Clean up
|
||
|
|
if (fs.existsSync(testDir)) {
|
||
|
|
fs.rmSync(testDir, { recursive: true, force: true })
|
||
|
|
}
|
||
|
|
fs.mkdirSync(testDir, { recursive: true })
|
||
|
|
|
||
|
|
brain = new Brainy({
|
||
|
|
storage: {
|
||
|
|
type: 'filesystem',
|
||
|
|
options: { path: testDir }
|
||
|
|
}
|
||
|
|
})
|
||
|
|
await brain.init()
|
||
|
|
})
|
||
|
|
|
||
|
|
afterAll(() => {
|
||
|
|
if (fs.existsSync(testDir)) {
|
||
|
|
fs.rmSync(testDir, { recursive: true, force: true })
|
||
|
|
}
|
||
|
|
})
|
||
|
|
|
||
|
|
it('should exclude VFS entities from brain.find() by default', async () => {
|
||
|
|
// Create VFS file entity
|
||
|
|
const vfs = brain.vfs()
|
||
|
|
await vfs.init()
|
||
|
|
await vfs.mkdir('/docs', { recursive: true })
|
||
|
|
await vfs.writeFile('/docs/readme.md', '# Hello World')
|
||
|
|
|
||
|
|
// Create knowledge entity (no isVFS flag)
|
||
|
|
const knowledgeEntity = await brain.add({
|
||
|
|
data: 'This is a knowledge document about AI',
|
||
|
|
type: NounType.Document,
|
||
|
|
metadata: {
|
||
|
|
title: 'AI Research Paper',
|
||
|
|
category: 'research'
|
||
|
|
}
|
||
|
|
})
|
||
|
|
|
||
|
|
// Query for documents WITHOUT includeVFS
|
||
|
|
console.log('\n📋 Test 1: brain.find() excludes VFS by default')
|
||
|
|
const results = await brain.find({
|
||
|
|
type: NounType.Document,
|
||
|
|
limit: 100
|
||
|
|
})
|
||
|
|
|
||
|
|
console.log(` Total results: ${results.length}`)
|
||
|
|
const vfsResults = results.filter(r => r.metadata?.isVFS === true)
|
||
|
|
const knowledgeResults = results.filter(r => r.metadata?.isVFS !== true)
|
||
|
|
|
||
|
|
console.log(` VFS results: ${vfsResults.length}`)
|
||
|
|
console.log(` Knowledge results: ${knowledgeResults.length}`)
|
||
|
|
|
||
|
|
// Should only return knowledge entities (no VFS)
|
||
|
|
expect(vfsResults.length).toBe(0)
|
||
|
|
expect(knowledgeResults.length).toBeGreaterThan(0)
|
||
|
|
expect(results.some(r => r.id === knowledgeEntity.id)).toBe(true)
|
||
|
|
})
|
||
|
|
|
||
|
|
it('should include VFS entities when includeVFS: true', async () => {
|
||
|
|
console.log('\n📋 Test 2: brain.find({ includeVFS: true }) includes VFS')
|
||
|
|
|
||
|
|
// Query WITH includeVFS: true
|
||
|
|
const results = await brain.find({
|
||
|
|
type: NounType.Document,
|
||
|
|
includeVFS: true,
|
||
|
|
limit: 100
|
||
|
|
})
|
||
|
|
|
||
|
|
console.log(` Total results: ${results.length}`)
|
||
|
|
const vfsResults = results.filter(r => r.metadata?.isVFS === true)
|
||
|
|
const knowledgeResults = results.filter(r => r.metadata?.isVFS !== true)
|
||
|
|
|
||
|
|
console.log(` VFS results: ${vfsResults.length}`)
|
||
|
|
console.log(` Knowledge results: ${knowledgeResults.length}`)
|
||
|
|
|
||
|
|
// Should return BOTH VFS and knowledge entities
|
||
|
|
expect(vfsResults.length).toBeGreaterThan(0)
|
||
|
|
expect(knowledgeResults.length).toBeGreaterThan(0)
|
||
|
|
})
|
||
|
|
|
||
|
|
it('should allow relationships between VFS files and knowledge entities', async () => {
|
||
|
|
console.log('\n📋 Test 3: VFS-Knowledge relationships')
|
||
|
|
|
||
|
|
// Get VFS file entity (need includeVFS: true when querying VFS by path)
|
||
|
|
const vfsFile = await brain.find({
|
||
|
|
where: {
|
||
|
|
path: '/docs/readme.md'
|
||
|
|
},
|
||
|
|
includeVFS: true,
|
||
|
|
limit: 1
|
||
|
|
})
|
||
|
|
expect(vfsFile.length).toBe(1)
|
||
|
|
|
||
|
|
// Get knowledge entity
|
||
|
|
const knowledgeEntity = await brain.find({
|
||
|
|
type: NounType.Document,
|
||
|
|
where: {
|
||
|
|
title: 'AI Research Paper'
|
||
|
|
},
|
||
|
|
limit: 1
|
||
|
|
})
|
||
|
|
expect(knowledgeEntity.length).toBe(1)
|
||
|
|
|
||
|
|
// Create relationship: knowledge entity -> references -> VFS file
|
||
|
|
const relation = await brain.relate({
|
||
|
|
from: knowledgeEntity[0].id,
|
||
|
|
to: vfsFile[0].id,
|
||
|
|
type: 'references'
|
||
|
|
})
|
||
|
|
|
||
|
|
console.log(` Created relation: ${relation.id}`)
|
||
|
|
console.log(` From: ${knowledgeEntity[0].metadata?.title} (knowledge)`)
|
||
|
|
console.log(` To: ${vfsFile[0].metadata?.path} (VFS file)`)
|
||
|
|
|
||
|
|
// Verify relationship exists
|
||
|
|
const relations = await brain.getRelations({
|
||
|
|
from: knowledgeEntity[0].id,
|
||
|
|
to: vfsFile[0].id
|
||
|
|
})
|
||
|
|
|
||
|
|
expect(relations.length).toBe(1)
|
||
|
|
expect(relations[0].type).toBe('references')
|
||
|
|
console.log(` ✅ Relationship verified: knowledge can reference VFS files`)
|
||
|
|
})
|
||
|
|
|
||
|
|
it('should filter VFS entities using where clause', async () => {
|
||
|
|
console.log('\n📋 Test 4: Where clause filtering with isVFS')
|
||
|
|
|
||
|
|
// Query for VFS files explicitly
|
||
|
|
const vfsFiles = await brain.find({
|
||
|
|
where: {
|
||
|
|
isVFS: true,
|
||
|
|
vfsType: 'file'
|
||
|
|
},
|
||
|
|
limit: 100
|
||
|
|
})
|
||
|
|
|
||
|
|
console.log(` VFS files found: ${vfsFiles.length}`)
|
||
|
|
expect(vfsFiles.length).toBeGreaterThan(0)
|
||
|
|
expect(vfsFiles.every(f => f.metadata?.isVFS === true)).toBe(true)
|
||
|
|
expect(vfsFiles.every(f => f.metadata?.vfsType === 'file')).toBe(true)
|
||
|
|
|
||
|
|
// Query for non-VFS entities explicitly
|
||
|
|
const nonVFS = await brain.find({
|
||
|
|
where: {
|
||
|
|
category: 'research'
|
||
|
|
},
|
||
|
|
limit: 100
|
||
|
|
})
|
||
|
|
|
||
|
|
console.log(` Non-VFS entities found: ${nonVFS.length}`)
|
||
|
|
expect(nonVFS.length).toBeGreaterThan(0)
|
||
|
|
expect(nonVFS.every(e => e.metadata?.isVFS !== true)).toBe(true)
|
||
|
|
})
|
||
|
|
|
||
|
|
it('should handle semantic search with VFS filtering', async () => {
|
||
|
|
console.log('\n📋 Test 5: Semantic search excludes VFS by default')
|
||
|
|
|
||
|
|
// Semantic search WITHOUT includeVFS (should exclude VFS files)
|
||
|
|
const results = await brain.find({
|
||
|
|
query: 'research paper artificial intelligence',
|
||
|
|
limit: 10
|
||
|
|
})
|
||
|
|
|
||
|
|
console.log(` Semantic results: ${results.length}`)
|
||
|
|
const hasVFS = results.some(r => r.metadata?.isVFS === true)
|
||
|
|
console.log(` Contains VFS entities: ${hasVFS}`)
|
||
|
|
|
||
|
|
// Should NOT include VFS files in semantic search by default
|
||
|
|
expect(hasVFS).toBe(false)
|
||
|
|
|
||
|
|
// Semantic search WITH includeVFS: true
|
||
|
|
const resultsWithVFS = await brain.find({
|
||
|
|
query: 'hello world markdown',
|
||
|
|
includeVFS: true,
|
||
|
|
limit: 10
|
||
|
|
})
|
||
|
|
|
||
|
|
console.log(` Semantic results (with VFS): ${resultsWithVFS.length}`)
|
||
|
|
const hasVFSWithFlag = resultsWithVFS.some(r => r.metadata?.isVFS === true)
|
||
|
|
console.log(` Contains VFS entities: ${hasVFSWithFlag}`)
|
||
|
|
|
||
|
|
// Should include VFS files when explicitly requested
|
||
|
|
expect(hasVFSWithFlag).toBe(true)
|
||
|
|
})
|
||
|
|
})
|