Brainy 7.30.0 introduced a memory-derived synchronous cap on `find({ limit })`
to prevent OOM. The cap was sound in intent but ~4x too conservative in
calibration: assumed 100 KB per result while typical entity footprint is 7-10 KB
(384-dim float32 vector ≈ 1.5 KB + standard fields + metadata). On a 900 MB
free-memory box the cap derived to 9000 — breaking common safety-cap patterns
like `find({ type, where, limit: 10_000 })` that typically return 10-500
entities. Surfaced as a runtime regression with cascading 500s degrading
production dashboards.
Three concurrent fixes:
A. RECALIBRATE THE FORMULA
- src/utils/paramValidation.ts:175,196,212 — the three memory-derived priorities
(reservedQueryMemory / containerMemory / freeMemory) all divided by
100 * 1024 * 1024 (100 KB per result, ~10-15x over conservative). Replaced
with a new MAX_LIMIT_KB_PER_RESULT = 25 constant that matches observed
entity size.
- Result: 4 GB container cap goes 10_000 → 40_000; 2 GB cap goes 5_000 →
20_000; 900 MB free-memory cap goes 9_000 → ~36_000. 100k hard ceiling
unchanged. `maxQueryLimit` / `reservedQueryMemory` constructor overrides
unchanged in behavior.
B. TWO-TIER ENFORCEMENT (warn-then-throw)
- Below cap (limit <= maxLimit): silent pass, unchanged.
- Soft tier (maxLimit < limit <= 2 * maxLimit): NEW — one-time warning per
call site (dedup keyed on caller stack frame + limit value), query
proceeds. Pre-7.30.2 code that relied on the cap silently allowing typical
safety-cap limits keeps working; the warning teaches the recipe so consumers
can fix it intentionally.
- Hard tier (limit > 2 * maxLimit): throw with the same teaching message
format. Real OOM territory; the cap stops being a recommendation and becomes
a guardrail.
- The 2x soft margin absorbs typical safety-cap patterns (limit: 10_000
against a 9 K-cap box) without disabling OOM protection. Real OOM territory
on a JS in-memory brain is hundreds of thousands of results, not 10x the
safety cap.
C. IMPROVED ERROR / WARNING MESSAGE
- Same shape as the 7.30.1 enforcement-error messages: state the problem,
name the three escape valves (maxQueryLimit / reservedQueryMemory /
pagination), include caller location, link to docs.
- Extracted findCallerLocation() helper from brainy.ts to a new
src/utils/callerLocation.ts so both the subtype enforcement (7.30.1) and
the limit enforcement (7.30.2) share one implementation without circular
imports.
DOCS
- New docs/guides/find-limits.md (public: true) — full reference: why the cap
exists, the four memory sources the auto-config considers, the three escape
valves with when-to-use-which guidance, and an explicit "pagination is the
future-proof pattern" callout (8.0 may tighten the cap further; pagination
keeps working unchanged).
- docs/api/README.md find() entry gets a one-paragraph `limit` tip + pointer
to the new guide.
- RELEASES.md v7.30.2 entry.
TESTS
- New tests/integration/find-limits.test.ts (9 tests): below-cap silent pass;
soft-tier warns once per call site (dedup verified by exercising same vs.
different source lines via wrapper closures); soft-tier message format
(names all three escape valves + docs link); soft-tier message includes
caller location; hard-tier throws; hard-tier message format same as
soft-tier; consumer maxQueryLimit override raises the cap and shifts both
tiers accordingly; pre-7.30.2 regression scenario explicitly covered.
- tests/unit/utils/memoryLimits.test.ts — 4 tests updated for the recalibrated
cap values (hardcoded expected numbers bumped 4x to match new 25 KB/result
assumption).
- tests/unit/utils/paramValidation.test.ts — auto-limit test extended to cover
the three-tier semantics (below-cap pass / soft-tier silent / hard-tier
throw).
- Existing suites unchanged: subtype-and-facets 26/26, verb-subtype-and-
enforcement 30/30, strict-mode-self-test 13/13. Unit 1468/1468.
CORTEX COMPATIBILITY
- Zero Cortex changes required. Every change is JS-side: formula recalibration
runs in ValidationConfig.constructor(), two-tier enforcement runs in
validateFindParams(), both fire before any storage / index / Cortex call.
- The new guide notes that Brainy 8.0's Datomic-style Db.find() may tighten
per-call limits to keep snapshot semantics cheap; pagination remains the
pattern that's guaranteed to keep working.
REPO-WIDE CLEANUP
Brainy is the only Soulcraft project that is open source. This commit also
scrubs closed-source product names and product-specific class/field references
from every tracked file in the repo (src/, docs/, tests/, RELEASES.md,
CHANGELOG.md). Consumer-reported bugs, regression scenarios, and release
notes now refer to "a consumer", "a downstream application", "a production
deployment", or "an internal report" — never to the named product. Two
product-named test files renamed to neutral diagnostic names. CLAUDE.md gains
a project-level guard rule documenting the policy and an example list of the
identifiers that may not appear in tracked code.
Verification
- npx tsc --noEmit: clean
- npm test: 1468 / 1468 unit
- All four integration subtype + verb + strict + find-limits suites: 78/78
- npm run build: clean
- Closed-source product reference audit: clean
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 a consumer'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 (VFS import 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 the reported 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 the reported scenario exactly', async () => {
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// Replicate a consumer'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 (the reported 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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// Consumer's check: Initialize VFS
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console.log('\n📂 Initializing VFS (post-fix)...')
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const vfs = brain.vfs
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await vfs.init()
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// a consumer'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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