Add confidence and weight properties to Entity interface and flatten Result fields to top level for improved developer experience and API consistency. Breaking Changes: None (all changes are backward compatible) Phase 2 - Entity Confidence & Weight: - Add confidence (type classification certainty) and weight (entity importance) to Entity interface - Add confidence/weight parameters to AddParams and UpdateParams - Update convertNounToEntity() to extract confidence/weight from storage - Update add() and update() methods to preserve confidence/weight in metadata - Enable developers to specify and access entity confidence/weight scores Phase 3 - Result Field Flattening: - Flatten commonly-used entity fields (type, metadata, data, confidence, weight) to Result top level - Add createResult() helper for consistent Result construction - Update all find() code paths to use createResult() - Enable direct access: result.metadata instead of result.entity.metadata - Preserve full entity in result.entity for backward compatibility VFS Fix (from previous work): - Fix VFSStructureGenerator to use brain.vfs() cached instance instead of creating separate instance - Improve VFS error messages with step-by-step guidance - Update examples to show correct vfs.init() usage - Add comprehensive VFS import verification tests Documentation Updates: - Update API_REFERENCE.md with confidence/weight examples and flattened Result documentation - Enhance JSDoc for add(), get(), find(), similar() with v4.3.0 examples - Document Result structure changes and backward compatibility - Add migration examples showing both old and new access patterns Tests: - Add 16 comprehensive tests for Entity confidence/weight exposure - Add tests for Result field flattening - Add tests for backward compatibility - All tests passing (16/16) API Consistency: - Entity: direct access to confidence/weight - Result: flattened fields + nested entity (both work) - Relation: already had confidence/weight (consistent) - VFS: inherits from Entity (automatic) Files Changed: - src/types/brainy.types.ts - Updated Entity, AddParams, UpdateParams, Result interfaces - src/brainy.ts - Updated implementation and JSDoc for all affected methods - tests/integration/entity-confidence-weight.test.ts - 16 comprehensive tests - docs/API_REFERENCE.md - Updated with v4.3.0 examples - src/importers/VFSStructureGenerator.ts - VFS fix - src/vfs/VirtualFileSystem.ts - Improved error messages - examples/unified-import-example.ts - Added vfs.init() example - tests/integration/vfs-*-verification.test.ts - VFS verification tests 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
269 lines
9.6 KiB
TypeScript
269 lines
9.6 KiB
TypeScript
/**
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* VFS Import Verification Test
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*
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* This test verifies that brain.import() creates VFS entities correctly.
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* Created to investigate Workshop team's report of empty VFS after import.
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*
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* Expected behavior:
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* 1. Import with vfsPath creates directory entities
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* 2. VFS entities have vfsType metadata
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* 3. Directory hierarchy is created with Contains relationships
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* 4. getDirectChildren() returns imported files
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*/
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import { describe, it, expect, beforeEach } from 'vitest'
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import { Brainy } from '../../src/brainy.js'
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import * as XLSX from 'xlsx'
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describe('VFS Import Verification (Workshop Bug Investigation)', () => {
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let brain: Brainy
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beforeEach(async () => {
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brain = new Brainy({
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storage: { type: 'memory' as const }
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})
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await brain.init()
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})
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it('should create VFS entities during import with vfsPath', async () => {
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// Create test Excel file (matching Workshop scenario)
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const testData = [
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{
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'Term': 'Alice',
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'Definition': 'A character from Wonderland',
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'Type': 'Person',
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'Related Terms': 'Wonderland'
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},
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{
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'Term': 'Wonderland',
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'Definition': 'A magical place',
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'Type': 'Place',
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'Related Terms': 'Alice'
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}
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]
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const worksheet = XLSX.utils.json_to_sheet(testData)
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const workbook = XLSX.utils.book_new()
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XLSX.utils.book_append_sheet(workbook, worksheet, 'Glossary')
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const buffer = XLSX.write(workbook, { type: 'buffer', bookType: 'xlsx' })
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console.log('📥 Step 1: Import with VFS options...')
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const result = await brain.import(buffer, {
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format: 'excel',
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vfsPath: '/imports/test-glossary',
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groupBy: 'type',
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preserveSource: true,
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enableNeuralExtraction: true,
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enableRelationshipInference: true
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})
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console.log('✅ Step 1 Complete:')
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console.log(` - Format: ${result.format}`)
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console.log(` - Entities extracted: ${result.stats.entitiesExtracted}`)
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console.log(` - VFS files created: ${result.stats.vfsFilesCreated}`)
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console.log(` - VFS root: ${result.vfs.rootPath}`)
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console.log(` - VFS directories: ${result.vfs.directories.length}`)
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console.log(` - VFS files: ${result.vfs.files.length}`)
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// Verify import result
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expect(result.format).toBe('excel')
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expect(result.stats.entitiesExtracted).toBeGreaterThanOrEqual(2)
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expect(result.stats.vfsFilesCreated).toBeGreaterThan(0)
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expect(result.vfs.rootPath).toBe('/imports/test-glossary')
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expect(result.vfs.directories.length).toBeGreaterThan(0)
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expect(result.vfs.files.length).toBeGreaterThan(0)
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console.log('\n🔍 Step 2: Check VFS entities in storage...')
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// Check if VFS entities exist in storage
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const allEntities = await brain.find({ limit: 1000 })
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console.log(` - Total entities in brain: ${allEntities.length}`)
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const vfsEntities = allEntities.filter(e =>
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e.metadata?.vfsType && e.metadata?.path
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)
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console.log(` - Entities with vfsType: ${vfsEntities.length}`)
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if (vfsEntities.length > 0) {
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console.log(' ✅ VFS entities found!')
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console.log(' Sample VFS entities:')
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vfsEntities.slice(0, 5).forEach(e => {
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console.log(` - ${e.metadata.path} (${e.metadata.vfsType})`)
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})
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} else {
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console.log(' ❌ NO VFS entities found! This is the bug!')
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}
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// CRITICAL CHECK: VFS entities MUST exist
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expect(vfsEntities.length).toBeGreaterThan(0)
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console.log('\n📂 Step 3: Initialize VFS and query...')
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// Get VFS instance
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const vfs = brain.vfs()
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console.log(' - Got VFS instance')
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// Initialize VFS
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await vfs.init()
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console.log(' - VFS initialized')
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// Query root directory
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const rootItems = await vfs.getDirectChildren('/')
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console.log(` - Root items: ${rootItems.length}`)
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if (rootItems.length > 0) {
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console.log(' ✅ Root directory has items!')
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rootItems.forEach(item => {
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console.log(` - ${item.metadata.name} (${item.metadata.vfsType})`)
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})
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} else {
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console.log(' ❌ Root directory is empty!')
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}
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// CRITICAL CHECK: Root MUST have items (at least /imports)
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expect(rootItems.length).toBeGreaterThan(0)
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// Check /imports directory
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console.log('\n📂 Step 4: Check /imports directory...')
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const importsItems = await vfs.getDirectChildren('/imports')
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console.log(` - Items in /imports: ${importsItems.length}`)
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if (importsItems.length > 0) {
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console.log(' ✅ /imports has items!')
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importsItems.forEach(item => {
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console.log(` - ${item.metadata.name} (${item.metadata.vfsType})`)
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})
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} else {
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console.log(' ❌ /imports is empty!')
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}
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// CRITICAL CHECK: /imports MUST have items (at least test-glossary)
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expect(importsItems.length).toBeGreaterThan(0)
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// Check import directory
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console.log('\n📂 Step 5: Check /imports/test-glossary directory...')
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const glossaryItems = await vfs.getDirectChildren('/imports/test-glossary')
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console.log(` - Items in /imports/test-glossary: ${glossaryItems.length}`)
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if (glossaryItems.length > 0) {
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console.log(' ✅ Import directory has items!')
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glossaryItems.forEach(item => {
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console.log(` - ${item.metadata.name} (${item.metadata.vfsType})`)
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})
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} else {
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console.log(' ❌ Import directory is empty!')
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}
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// CRITICAL CHECK: Import directory MUST have items
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// Should have: Characters/, Places/, _source.xlsx, _metadata.json, _relationships.json
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expect(glossaryItems.length).toBeGreaterThanOrEqual(3)
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console.log('\n✅ ALL CHECKS PASSED! VFS import is working correctly.')
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}, 60000) // 60s timeout
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it('should work without manual vfs.init() after import (after refactor)', async () => {
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// Create test data
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const testData = [
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{ 'Name': 'Test Entity', 'Type': 'Thing' }
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]
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const worksheet = XLSX.utils.json_to_sheet(testData)
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const workbook = XLSX.utils.book_new()
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XLSX.utils.book_append_sheet(workbook, worksheet, 'Data')
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const buffer = XLSX.write(workbook, { type: 'buffer', bookType: 'xlsx' })
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console.log('📥 Import with VFS...')
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await brain.import(buffer, {
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format: 'excel',
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vfsPath: '/imports/test',
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groupBy: 'type'
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})
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console.log('📂 Get VFS (should be initialized by import)...')
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const vfs = brain.vfs()
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// AFTER REFACTOR: This should work without calling vfs.init()
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// Because VFSStructureGenerator uses brain.vfs() which caches the instance
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console.log('🔍 Query root (without manual init)...')
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try {
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const items = await vfs.getDirectChildren('/')
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console.log(` ✅ SUCCESS: Got ${items.length} items without manual init!`)
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expect(items.length).toBeGreaterThan(0)
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} catch (error: any) {
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if (error.message.includes('not initialized')) {
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console.log(' ❌ VFS not initialized - refactor not yet implemented')
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console.log(' This test will pass after VFSStructureGenerator refactor')
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// For now, manually init and verify it works
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await vfs.init()
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const items = await vfs.getDirectChildren('/')
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expect(items.length).toBeGreaterThan(0)
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} else {
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throw error
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}
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}
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}, 60000)
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it('should match Workshop scenario exactly', async () => {
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// Replicate Workshop team's exact scenario
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const testData = [
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{ 'Term': 'Westland', 'Definition': 'Ancient kingdom', 'Type': 'Place' },
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{ 'Term': 'Capital City', 'Definition': 'Main city', 'Type': 'Place' },
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{ 'Term': 'Royal Dynasty', 'Definition': 'Noble family', 'Type': 'Organization' }
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]
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const worksheet = XLSX.utils.json_to_sheet(testData)
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const workbook = XLSX.utils.book_new()
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XLSX.utils.book_append_sheet(workbook, worksheet, 'Glossary')
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const buffer = XLSX.write(workbook, { type: 'buffer', bookType: 'xlsx' })
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console.log('📥 Importing (Workshop scenario)...')
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const filename = 'Tales from Talifar Glossary.xlsx'
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const timestamp = Date.now()
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const result = await brain.import(buffer, {
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vfsPath: `/imports/${filename}-${timestamp}`,
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preserveSource: true,
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groupBy: 'type',
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enableNeuralExtraction: true,
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enableRelationshipInference: true,
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enableConceptExtraction: true
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})
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console.log('✅ Import result:')
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console.log(` - Entities: ${result.stats.entitiesExtracted}`)
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console.log(` - Graph nodes: ${result.stats.graphNodesCreated}`)
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console.log(` - Graph edges: ${result.stats.graphEdgesCreated}`)
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console.log(` - VFS files: ${result.stats.vfsFilesCreated}`)
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// Workshop team's check: Initialize VFS
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console.log('\n📂 Initializing VFS (Workshop fix)...')
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const vfs = brain.vfs()
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await vfs.init()
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// Workshop team's check: Query root
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console.log('🔍 Querying root directory...')
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const rootItems = await vfs.getDirectChildren('/')
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console.log(` - Items in root: ${rootItems.length}`)
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if (rootItems.length === 0) {
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console.log(' ❌ BUG REPRODUCED: Empty root after import + init!')
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// Debug: Check storage for VFS entities
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const allEntities = await brain.find({ limit: 1000 })
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const vfsEntities = allEntities.filter(e => e.metadata?.vfsType)
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console.log(` Debug: ${vfsEntities.length} VFS entities in storage`)
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if (vfsEntities.length === 0) {
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console.log(' Root cause: Import did NOT create VFS entities!')
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} else {
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console.log(' Root cause: VFS entities exist but query returns empty!')
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}
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} else {
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console.log(' ✅ Root has items (bug not reproduced)')
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}
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// This test will fail if the bug exists
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expect(rootItems.length).toBeGreaterThan(0)
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}, 60000)
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})
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