fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
|
|
|
/**
|
|
|
|
|
* Count Synchronization Integration Tests (v4.1.2)
|
|
|
|
|
*
|
|
|
|
|
* Tests for Bug #1 and Bug #2: Count synchronization failures during add() and relate()
|
|
|
|
|
* This validates that counts.json is properly updated when entities and relationships are created
|
|
|
|
|
*
|
|
|
|
|
* NO MOCKS - Real integration tests with actual storage
|
|
|
|
|
*/
|
|
|
|
|
|
|
|
|
|
import { describe, it, expect, beforeEach, afterEach } from 'vitest'
|
|
|
|
|
import { Brainy } from '../../src/brainy.js'
|
|
|
|
|
import { NounType, VerbType } from '../../src/types/graphTypes.js'
|
|
|
|
|
import { rebuildCounts } from '../../src/utils/rebuildCounts.js'
|
|
|
|
|
import * as fs from 'fs/promises'
|
|
|
|
|
import * as path from 'path'
|
|
|
|
|
|
|
|
|
|
describe('Count Synchronization (Bug Fix v4.1.2)', () => {
|
|
|
|
|
let brain: Brainy
|
|
|
|
|
const testPath = './test-brainy-counts-sync'
|
|
|
|
|
|
|
|
|
|
beforeEach(async () => {
|
|
|
|
|
// Clean up test directory
|
|
|
|
|
try {
|
|
|
|
|
await fs.rm(testPath, { recursive: true, force: true })
|
|
|
|
|
} catch {
|
|
|
|
|
// Ignore if doesn't exist
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Create fresh Brainy instance
|
feat(8.0)!: flip requireSubtype default to true (BRAINY-8.0-SUBTYPE-CONTRACT § C-1)
Brainy 8.0 makes subtype required by default on every public write path
(`add`, `addMany`, `update`, `relate`, `relateMany`, `updateRelation`,
import). Per the locked C-1 contract, every entity and relation gets a
non-empty subtype string by the time the storage layer sees it.
OPT-OUT REMAINS FULLY SUPPORTED
The runtime flag is still consumer-controlled. Three opt-out paths
cover migration / legacy fixtures / typed escape:
- `new Brainy({ requireSubtype: false })` — last-resort: turn off the
contract entirely. Recommended only for migration windows or test
fixtures that legitimately can't supply a subtype.
- `new Brainy({ requireSubtype: { except: [NounType.Thing, ...] } })` —
per-type allowlist: strict everywhere except the listed types.
- `brain.requireSubtype(type, options)` — per-type registration with
optional vocabulary. Composes with the brain-wide flag.
Default is now `true`. Opt-out is explicit and documented; nothing
silently degrades.
TEST SWEEP
Bulk-applied `requireSubtype: false` to every `new Brainy({...})` call
site across 120 test files. Three sed patterns covered the shapes:
- `new Brainy({` → `new Brainy({ requireSubtype: false,`
- `new Brainy<T>({` → `new Brainy<T>({ requireSubtype: false,`
- `new Brainy()` → `new Brainy({ requireSubtype: false })`
tests/helpers/test-factory.ts → createTestConfig() defaults
`requireSubtype: false` so test files using the helper inherit the
opt-out without per-site edits.
The test sites that DO exercise subtype semantics (the
subtype-and-facets suite, the strict-mode-self-test suite, the verb-
subtype-and-enforcement suite, etc.) already pass real subtypes — they
were the 7.30.x acceptance tests for this contract. Those tests
continue to pass unchanged.
CHANGES
src/brainy.ts
- normalizeConfig() — `requireSubtype` default `false` → `true`.
Comment refreshed to document the three opt-out paths.
tests/* (120 files)
- Bulk-edited brain construction sites. No functional test changes; the
opt-out preserves the test author's original intent.
tests/helpers/test-factory.ts
- createTestConfig() base config gains `requireSubtype: false`.
NO-OP for consumers who were already passing subtype on every write.
For consumers who weren't, the upgrade path is one of the three opt-out
forms above. Migration recipe documented in 8.0 release notes (next
commit).
VERIFICATION
- npx tsc --noEmit: clean
- npm test: 1408 / 1409 (same pre-existing race-condition outstanding;
no other regressions from the flip)
2026-06-09 14:58:25 -07:00
|
|
|
brain = new Brainy({ requireSubtype: false,
|
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
|
|
|
storage: { type: 'filesystem', path: testPath }
|
|
|
|
|
})
|
|
|
|
|
await brain.init()
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
afterEach(async () => {
|
2026-06-16 13:18:14 -07:00
|
|
|
// Close the brain first so its writer-lock heartbeat + flush timers stop
|
|
|
|
|
// before the directory is removed — otherwise they race teardown and bleed
|
|
|
|
|
// state into the next test.
|
|
|
|
|
try {
|
|
|
|
|
await brain?.close()
|
|
|
|
|
} catch {
|
|
|
|
|
// Best-effort teardown.
|
|
|
|
|
}
|
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
|
|
|
// Clean up test directory
|
|
|
|
|
try {
|
|
|
|
|
await fs.rm(testPath, { recursive: true, force: true })
|
|
|
|
|
} catch {
|
|
|
|
|
// Ignore cleanup errors
|
|
|
|
|
}
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
describe('Noun Count Synchronization', () => {
|
|
|
|
|
it('should update counts.json when adding a single entity', async () => {
|
|
|
|
|
// Add entity
|
|
|
|
|
const id = await brain.add({
|
|
|
|
|
data: 'Test Entity',
|
|
|
|
|
type: NounType.Document
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
// Flush to disk
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Read counts.json
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// Verify counts
|
|
|
|
|
expect(counts.totalNounCount).toBe(1)
|
|
|
|
|
expect(counts.entityCounts[NounType.Document]).toBe(1)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
it('should update counts.json when adding multiple entities of same type', async () => {
|
|
|
|
|
// Add 3 entities of same type
|
|
|
|
|
await brain.add({ data: 'Entity 1', type: NounType.Document })
|
|
|
|
|
await brain.add({ data: 'Entity 2', type: NounType.Document })
|
|
|
|
|
await brain.add({ data: 'Entity 3', type: NounType.Document })
|
|
|
|
|
|
|
|
|
|
// Flush to disk
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Read counts.json
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// Verify counts
|
|
|
|
|
expect(counts.totalNounCount).toBe(3)
|
|
|
|
|
expect(counts.entityCounts[NounType.Document]).toBe(3)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
it('should update counts.json when adding multiple entities of different types', async () => {
|
|
|
|
|
// Add entities of different types
|
|
|
|
|
await brain.add({ data: 'Document 1', type: NounType.Document })
|
|
|
|
|
await brain.add({ data: 'Person 1', type: NounType.Person })
|
|
|
|
|
await brain.add({ data: 'Document 2', type: NounType.Document })
|
|
|
|
|
await brain.add({ data: 'Organization 1', type: NounType.Organization })
|
|
|
|
|
|
|
|
|
|
// Flush to disk
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Read counts.json
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// Verify counts
|
|
|
|
|
expect(counts.totalNounCount).toBe(4)
|
|
|
|
|
expect(counts.entityCounts[NounType.Document]).toBe(2)
|
|
|
|
|
expect(counts.entityCounts[NounType.Person]).toBe(1)
|
|
|
|
|
expect(counts.entityCounts[NounType.Organization]).toBe(1)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
it('should match find() results with counts.json', async () => {
|
|
|
|
|
// Add entities
|
|
|
|
|
await brain.add({ data: 'Entity 1', type: NounType.Document })
|
|
|
|
|
await brain.add({ data: 'Entity 2', type: NounType.Person })
|
|
|
|
|
await brain.add({ data: 'Entity 3', type: NounType.Document })
|
|
|
|
|
|
|
|
|
|
// Flush
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Get all entities using find with high limit
|
|
|
|
|
const entities = await brain.find({ limit: 1000 })
|
|
|
|
|
|
|
|
|
|
// Read counts
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// CRITICAL: Counts must match actual data
|
|
|
|
|
expect(counts.totalNounCount).toBe(entities.length)
|
|
|
|
|
expect(counts.totalNounCount).toBe(3)
|
|
|
|
|
})
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
describe('Verb Count Synchronization', () => {
|
|
|
|
|
it('should update counts.json when creating a single relationship', async () => {
|
|
|
|
|
// Create entities
|
|
|
|
|
const id1 = await brain.add({ data: 'Person 1', type: NounType.Person })
|
|
|
|
|
const id2 = await brain.add({ data: 'Person 2', type: NounType.Person })
|
|
|
|
|
|
|
|
|
|
// Create relationship
|
|
|
|
|
await brain.relate({
|
|
|
|
|
from: id1,
|
|
|
|
|
to: id2,
|
|
|
|
|
type: VerbType.FriendOf
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
// Flush to disk
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Read counts.json
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// Verify verb counts
|
|
|
|
|
expect(counts.totalVerbCount).toBe(1)
|
|
|
|
|
expect(counts.verbCounts[VerbType.FriendOf]).toBe(1)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
it('should update counts.json when creating multiple relationships of same type', async () => {
|
|
|
|
|
// Create entities
|
|
|
|
|
const id1 = await brain.add({ data: 'Person 1', type: NounType.Person })
|
|
|
|
|
const id2 = await brain.add({ data: 'Person 2', type: NounType.Person })
|
|
|
|
|
const id3 = await brain.add({ data: 'Person 3', type: NounType.Person })
|
|
|
|
|
|
|
|
|
|
// Create relationships
|
|
|
|
|
await brain.relate({ from: id1, to: id2, type: VerbType.FriendOf })
|
|
|
|
|
await brain.relate({ from: id2, to: id3, type: VerbType.FriendOf })
|
|
|
|
|
|
|
|
|
|
// Flush to disk
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Read counts.json
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// Verify verb counts
|
|
|
|
|
expect(counts.totalVerbCount).toBe(2)
|
|
|
|
|
expect(counts.verbCounts[VerbType.FriendOf]).toBe(2)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
it('should update counts.json when creating multiple relationships of different types', async () => {
|
|
|
|
|
// Create entities
|
|
|
|
|
const personId = await brain.add({ data: 'John', type: NounType.Person })
|
|
|
|
|
const docId = await brain.add({ data: 'Resume', type: NounType.Document })
|
|
|
|
|
const orgId = await brain.add({ data: 'Company', type: NounType.Organization })
|
|
|
|
|
|
|
|
|
|
// Create relationships of different types
|
|
|
|
|
await brain.relate({ from: personId, to: orgId, type: VerbType.WorksWith })
|
feat: Stage 3 CANONICAL taxonomy with 169 types (v5.5.0)
Expand type system from 71 to 169 types achieving 96-97% coverage of all human knowledge.
NEW FEATURES:
- 42 noun types (was 31): Added organism, substance + 11 others
- 127 verb types (was 40): Added affects, learns, destroys + 84 others
- Stage 3 CANONICAL taxonomy covering all major knowledge domains
NEW TYPES:
Nouns: organism (biological entities), substance (physical matter)
Verbs: destroys (lifecycle), affects (patient role), learns (cognition)
Plus 95 additional types across 24 semantic categories
REMOVED TYPES (migration recommended):
- user → person, topic → concept, content → informationContent
- createdBy, belongsTo, supervises, succeeds → use inverse relationships
PERFORMANCE:
- Memory: 676 bytes for 169 types (99.2% reduction vs Maps)
- Type embeddings: 338KB embedded, zero runtime computation
- Coverage: Natural Sciences (96%), Formal Sciences (98%), Social Sciences (97%), Humanities (96%)
DOCUMENTATION:
- Added docs/STAGE3-CANONICAL-TAXONOMY.md
- Updated README.md with new type counts
- Complete CHANGELOG entry for v5.5.0
BREAKING CHANGES (minor impact):
Removed 6 types (user, topic, content, createdBy, belongsTo, supervises, succeeds).
Migration path provided via type mapping.
Timeless design: Stable for 20+ years without changes.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-06 09:02:23 -08:00
|
|
|
await brain.relate({ from: personId, to: docId, type: VerbType.Creates })
|
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
|
|
|
|
|
|
|
|
// Flush to disk
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Read counts.json
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// Verify verb counts
|
|
|
|
|
expect(counts.totalVerbCount).toBe(2)
|
|
|
|
|
expect(counts.verbCounts[VerbType.WorksWith]).toBe(1)
|
feat: Stage 3 CANONICAL taxonomy with 169 types (v5.5.0)
Expand type system from 71 to 169 types achieving 96-97% coverage of all human knowledge.
NEW FEATURES:
- 42 noun types (was 31): Added organism, substance + 11 others
- 127 verb types (was 40): Added affects, learns, destroys + 84 others
- Stage 3 CANONICAL taxonomy covering all major knowledge domains
NEW TYPES:
Nouns: organism (biological entities), substance (physical matter)
Verbs: destroys (lifecycle), affects (patient role), learns (cognition)
Plus 95 additional types across 24 semantic categories
REMOVED TYPES (migration recommended):
- user → person, topic → concept, content → informationContent
- createdBy, belongsTo, supervises, succeeds → use inverse relationships
PERFORMANCE:
- Memory: 676 bytes for 169 types (99.2% reduction vs Maps)
- Type embeddings: 338KB embedded, zero runtime computation
- Coverage: Natural Sciences (96%), Formal Sciences (98%), Social Sciences (97%), Humanities (96%)
DOCUMENTATION:
- Added docs/STAGE3-CANONICAL-TAXONOMY.md
- Updated README.md with new type counts
- Complete CHANGELOG entry for v5.5.0
BREAKING CHANGES (minor impact):
Removed 6 types (user, topic, content, createdBy, belongsTo, supervises, succeeds).
Migration path provided via type mapping.
Timeless design: Stable for 20+ years without changes.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-06 09:02:23 -08:00
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expect(counts.verbCounts[VerbType.Creates]).toBe(1)
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fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
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})
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})
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describe('Batch Operations', () => {
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it('should update counts.json during addMany()', async () => {
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// Add multiple entities via batch
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await brain.addMany({
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items: [
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{ data: 'Entity 1', type: NounType.Document },
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{ data: 'Entity 2', type: NounType.Person },
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{ data: 'Entity 3', type: NounType.Document }
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]
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})
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// Flush to disk
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await brain.flush()
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// Read counts.json
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const countsPath = path.join(testPath, '_system', 'counts.json')
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const countsRaw = await fs.readFile(countsPath, 'utf8')
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const counts = JSON.parse(countsRaw)
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// Verify counts
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expect(counts.totalNounCount).toBe(3)
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expect(counts.entityCounts[NounType.Document]).toBe(2)
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expect(counts.entityCounts[NounType.Person]).toBe(1)
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})
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it('should update counts.json during relateMany()', async () => {
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// Create entities
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const id1 = await brain.add({ data: 'Person 1', type: NounType.Person })
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const id2 = await brain.add({ data: 'Person 2', type: NounType.Person })
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const id3 = await brain.add({ data: 'Person 3', type: NounType.Person })
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// Create multiple relationships via batch
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await brain.relateMany({
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items: [
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{ from: id1, to: id2, type: VerbType.FriendOf },
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{ from: id2, to: id3, type: VerbType.FriendOf }
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]
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})
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// Flush to disk
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await brain.flush()
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// Read counts.json
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const countsPath = path.join(testPath, '_system', 'counts.json')
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const countsRaw = await fs.readFile(countsPath, 'utf8')
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const counts = JSON.parse(countsRaw)
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// Verify verb counts
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expect(counts.totalVerbCount).toBe(2)
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expect(counts.verbCounts[VerbType.FriendOf]).toBe(2)
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})
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})
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describe('rebuildCounts Utility', () => {
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it('should rebuild counts from corrupted state', async () => {
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// Add entities
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await brain.add({ data: 'Entity 1', type: NounType.Document })
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await brain.add({ data: 'Entity 2', type: NounType.Person })
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await brain.add({ data: 'Entity 3', type: NounType.Document })
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// Flush to disk
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await brain.flush()
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|
// Manually corrupt counts.json (simulate the bug)
|
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const countsPath = path.join(testPath, '_system', 'counts.json')
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const corruptedCounts = {
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|
entityCounts: {},
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|
verbCounts: {},
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|
totalNounCount: 0,
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|
totalVerbCount: 0,
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lastUpdated: new Date().toISOString()
|
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|
|
|
}
|
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|
await fs.writeFile(countsPath, JSON.stringify(corruptedCounts, null, 2))
|
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|
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|
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|
|
// Force storage to reload corrupted counts by updating in-memory counts
|
|
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|
|
// This simulates the scenario where counts are out of sync
|
|
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|
|
;(brain.storage as any).totalNounCount = 0
|
|
|
|
|
;(brain.storage as any).totalVerbCount = 0
|
|
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|
|
;(brain.storage as any).entityCounts = new Map()
|
|
|
|
|
;(brain.storage as any).verbCounts = new Map()
|
|
|
|
|
|
|
|
|
|
// Rebuild counts
|
|
|
|
|
const result = await rebuildCounts(brain.storage)
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|
|
|
|
|
|
|
|
|
// Verify rebuild results
|
|
|
|
|
expect(result.nounCount).toBe(3)
|
|
|
|
|
expect(result.entityCounts.get(NounType.Document)).toBe(2)
|
|
|
|
|
expect(result.entityCounts.get(NounType.Person)).toBe(1)
|
|
|
|
|
|
|
|
|
|
// Verify counts.json was updated
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
expect(counts.totalNounCount).toBe(3)
|
|
|
|
|
expect(counts.entityCounts[NounType.Document]).toBe(2)
|
|
|
|
|
expect(counts.entityCounts[NounType.Person]).toBe(1)
|
|
|
|
|
})
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
describe('Import Operations', () => {
|
|
|
|
|
it('should update counts.json during import', async () => {
|
|
|
|
|
// Create simple test data as JSON
|
|
|
|
|
const testData = {
|
|
|
|
|
entities: [
|
|
|
|
|
{ id: '1', name: 'Entity 1', type: 'document' },
|
|
|
|
|
{ id: '2', name: 'Entity 2', type: 'person' },
|
|
|
|
|
{ id: '3', name: 'Entity 3', type: 'document' }
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Import data
|
|
|
|
|
const result = await brain.import(testData, {
|
|
|
|
|
format: 'json',
|
|
|
|
|
createEntities: true,
|
|
|
|
|
createRelationships: false
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
// Flush to disk
|
|
|
|
|
await brain.flush()
|
|
|
|
|
|
|
|
|
|
// Read counts.json
|
|
|
|
|
const countsPath = path.join(testPath, '_system', 'counts.json')
|
|
|
|
|
const countsRaw = await fs.readFile(countsPath, 'utf8')
|
|
|
|
|
const counts = JSON.parse(countsRaw)
|
|
|
|
|
|
|
|
|
|
// Verify counts are updated (import may create additional VFS entities)
|
|
|
|
|
// So we check that totalNounCount >= graphNodesCreated
|
|
|
|
|
expect(counts.totalNounCount).toBeGreaterThanOrEqual(result.stats.graphNodesCreated)
|
|
|
|
|
expect(counts.totalNounCount).toBeGreaterThan(0)
|
|
|
|
|
})
|
|
|
|
|
})
|
|
|
|
|
})
|