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4 commits

Author SHA1 Message Date
d4cb26c604 feat: mmap-vector backend wiring — HNSWIndex consumes vectorStore:mmap (2.4.0 #2)
Cortex already registers the vectorStore:mmap provider (its Rust
NativeMmapVectorStore), but brainy has never consumed it — preloadVectors
and getVectorSafe still go straight to storage.getNounVector for every id,
even when an mmap layer is available. This wires the consumer end.

Architecture:

- NEW MmapVectorBackend (src/hnsw/mmapVectorBackend.ts) — bridges brainy's
  UUID-keyed vector reads to a int-slot mmap file via the
  vectorStore:mmap provider. Slots are addressed by the stable int id
  from the post-2.4.0 #1 EntityIdMapper (the foundation this depends on).
  Auto-grows the file (doubling) when a write lands beyond capacity, so
  HNSWIndex never has to think about sizing. The class never touches
  per-entity storage — it owns only the mmap layer.

- HNSWIndex changes — adds a vectorBackend field + a setVectorBackend
  setter. The vector read paths (preloadVectors, getVectorSafe) try the
  mmap layer first; on a storage fallback hit, they LAZILY write back into
  the mmap slot. An upgraded install converges to the zero-copy fast path
  under live traffic — no big-bang migration step. The legacy per-entity
  path is preserved and still used when no backend is set.

- brainy.ts wiring — a new private wireMmapVectorBackend() runs once
  during init, after plugin activation + metadataIndex setup. It activates
  the backend only when (a) the vectorStore:mmap provider is registered,
  (b) the storage adapter resolves a real local path via
  getBinaryBlobPath(), and (c) the metadata index exposes its idMapper.
  Cloud adapters return null on (b) and the backend is silently skipped;
  HNSWIndex's behaviour is then identical to pre-2.4.0.

- Provider interfaces in plugin.ts — VectorStoreMmapProvider and
  VectorStoreMmapInstance document the contract cortex's class fulfils
  (the class IS the provider — static factory methods). Brainy depends on
  the interfaces, not on cortex; the structural match is verified when
  cortex 2.4.0 picks up this brainy release.

Tests (1428 total, +11 vs pre-2.4.0):

- tests/unit/hnsw/mmap-vector-backend.test.ts — 6 unit tests with an
  in-memory mock provider. Covers round-trip, batch reads with interleaved
  misses, slot stability (no re-slotting on overwrite), file growth without
  data loss, idempotent open, and null returns for unwritten slots. The
  real perf integration with cortex's NativeMmapVectorStore is exercised
  when cortex 2.4.0 wires this in.

- tests/unit/utils/entity-id-mapper-stability.test.ts — moved here from
  tests/regression/ (which is NOT in the unit-config include glob, so the
  five #23 tests were not actually being run by npm test). The unit
  config matches tests/unit/**/*.test.ts.

The 2.4.0 #2 follow-up will be the chunked-segment layout for remote
storage adapters (S3 / R2 / GCS) where a single growing file doesn't fit
immutable objects. For 2.4.0 release: local-FS only.
2026-05-28 10:37:47 -07:00
b2408cb5a6 feat: stable EntityIdMapper — rebuild() no longer renumbers UUID→int
Previously metadataIndex.rebuild() called idMapper.clear() which reset nextId
to 1 and renumbered every UUID by re-insertion order. Any consumer that had
persisted int-keyed data against the old map was silently invalidated — and
2.4.0's vector mmap store (#20), graph link compression (#21), and column-store
JS↔native interchange all need persisted int indices that survive a rebuild.

Remove the unconditional clear() in rebuild(). The rebuild already re-iterates
every entity via idMapper.getOrAssign(uuid), which returns the existing int
unchanged for known UUIDs. Stale UUID→int entries for entities no longer in
storage persist as harmless memory overhead; a dedicated prune step can be
added if it ever matters.

clearAllIndexData() — the explicit nuclear recovery path — keeps its existing
idMapper.clear() call (renumbering is intentional there), and now logs a
prodLog.warn making it explicit that any persisted int-keyed data is invalidated
and must be rebuilt from canonical sources.

Strengthened the EntityIdMapper class JSDoc to document the stability guarantee
as a contract — append-only getOrAssign, monotonic nextId, remove() leaves
permanent holes, rebuild() never renumbers, only clear() does.

Added tests/regression/entity-id-mapper-stability.test.ts pinning down the
five-point contract: (1) single-rebuild stability; (2) many-rebuild stability;
(3) post-rebuild adds get fresh monotonic ints; (4) removes leave permanent
holes — new entities never recycle; (5) clearAllIndexData() explicitly
renumbers (the documented destructive path).

Foundation for 2.4.0 #2-#4. Full test suite (62 files, 1417 tests) green.
2026-05-28 10:37:47 -07:00
1a628daa83 fix: metadata index not cleaned up after delete/deleteMany
Three bugs caused deleted entities to persist in the metadata index:

1. idMapper never cleaned up — EntityIdMapper accumulated UUID→int mappings
   permanently. idMapper.getAllIntIds() is used as the universe for ne and
   exists:false operators, so deleted entities returned in those queries
   indefinitely. Fix: removeFromIndex() now calls idMapper.remove(id) and
   idMapper.flush() after all bitmap operations complete (must be last because
   removeFromChunk() reads idMapper.getInt(id) internally).

2. Optional fields indexed as __NULL__ but never unindexed — entityForIndexing
   in add() included confidence, weight, and createdBy as explicit keys even
   when undefined. Object.entries() preserves undefined-valued keys so
   extractIndexableFields() indexed them as '__NULL__' bitmap entries.
   storageMetadata omitted those keys via conditional spreading, so
   removeFromIndex() passed a structure without those keys and never cleaned
   them up. Fix: entityForIndexing now uses conditional spreading for
   confidence, weight, and createdBy matching storageMetadata exactly.

3. result.successful updated before transaction commits — deleteMany() pushed
   ids to result.successful inside the transaction builder, before
   transaction.execute() ran. A rollback would leave result.successful
   containing ids that were never actually deleted. Fix: queued ids are held
   in a local chunkQueued array and moved to result.successful only after
   executeTransaction() resolves without throwing.

Adds regression test suite (14 tests) covering delete() and deleteMany() for
type-index cleanup, ne operator, exists:false operator, optional-field indexing,
and partial deletion correctness.

Reported by wickworks team.
2026-02-18 15:33:56 -08:00
eb9af45bab fix: resolve v5.7.0 deadlock by restoring storage layer separation (v5.7.1)
CRITICAL BUG FIX - v5.7.0 caused complete production failure

PROBLEM:
v5.7.0 introduced circular dependency deadlock during GraphAdjacencyIndex initialization:
  GraphAdjacencyIndex.rebuild()
  → storage.getVerbs()
  → getVerbsBySource_internal()
  → getGraphIndex() [NEW in v5.7.0]
  → [waiting for rebuild to complete]
  → DEADLOCK

SYMPTOMS (Production Impact):
- ALL imports hung at "Reading Data Structure" for 760+ seconds
- brain.add() operations took 12+ seconds per entity (50x slower)
- Zero entities imported successfully
- 100% of Workshop users unable to import files
- No errors thrown - infinite wait
- Forced immediate rollback to v5.6.3

ROOT CAUSE:
v5.7.0 modified storage internal methods (getVerbsBySource_internal,
getVerbsByTarget_internal) to use GraphAdjacencyIndex optimization,
creating tight coupling where storage depends on index AND index depends
on storage. This violated separation of concerns and created deadlock.

SOLUTION (Architectural Fix):
Reverted storage internals to v5.6.3 implementation (lines 2320-2444):
- Storage layer simple, no index dependencies 
- GraphAdjacencyIndex can safely call storage.getVerbs() to rebuild 
- No circular dependency possible 
- Proper layered architecture restored 

LAYERS (Correct Architecture):
  Layer 3 (Brainy/Queries): CAN use GraphAdjacencyIndex
  Layer 2 (GraphAdjacencyIndex): Uses storage.getVerbs() to rebuild
  Layer 1 (Storage Internals): NO GraphAdjacencyIndex calls

IMPACT:
- Slightly slower GraphAdjacencyIndex.rebuild() (one-time init cost)
- High-level queries still use optimized index
- Import performance unaffected (writes don't trigger init)
- NO breaking changes to public API

TESTING:
- Added 4 regression tests (tests/regression/v5.7.0-deadlock.test.ts)
- All 1146 existing tests pass 
- Import + relationships complete in <1 second (not 760+)
- No 12+ second delays per entity 

FILES CHANGED:
- src/storage/baseStorage.ts (reverted lines 2320-2444 to v5.6.3)
- tests/regression/v5.7.0-deadlock.test.ts (new regression tests)
- CHANGELOG.md (comprehensive v5.7.1 entry with upgrade instructions)

VERIFICATION:
Workshop team should upgrade immediately:
  npm install @soulcraft/brainy@5.7.1

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-11 15:24:43 -08:00