`find({ where })` had two gaps that could silently return nothing. The in-memory
matcher (`matchesQuery`, used for egress re-validation and historical reads) was
missing several documented operators — `in`, `greaterThanOrEqual`,
`lessThanOrEqual` — so it disagreed with the index path, which does handle them.
And an unknown operator key (a typo, or `notIn` written where `not: { in }` was
meant) fell through to a nested-object-field interpretation and matched nothing.
- Align `matchesQuery` to the full documented operator set (add the missing
aliases; the default branch now throws instead of treating an unknown key as a
nested field — dotted paths remain the supported nested form).
- Validate the `where` filter up front (`validateWhereFilter`), throwing a typed
`BrainyError('INVALID_QUERY')` that names the unknown operator, recursing into
`allOf` / `anyOf` / `not`.
- Stop excluding a user field literally named `level` from the metadata index
(it collided with an internal never-index key), so numeric/exact filters on it
resolve instead of returning 0.
Adds unit coverage for the operator set and the throw-on-unknown behavior.
8.0 keeps the canonical operators (eq/ne/gt/gte/lt/lte) and their clean
long-form aliases (equals/notEquals/greaterThan/greaterThanOrEqual/lessThan/
lessThanOrEqual), and drops the four redundant deprecated spellings:
is → eq, isNot → ne, greaterEqual → gte, lessEqual → lte
Removed from every evaluator (metadataIndex criteria + range switches,
metadataFilter, the db whereMatcher egress path) and from the
BrainyFieldOperators type, the unsupported-operator error message, the docs
(QUERY_OPERATORS / api README / VFS projection + semantic guides), and the
whereMatcher alias tests. Also migrated Brainy's own internal use — the VFS
TemporalProjection queried with greaterEqual/lessEqual, which would have
silently broken — to gte/lte.
Full gate green: build, unit 1512, integration 607.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The __words__ keyword index stores 50-5000 entries per entity (one per
word), which inflated avg entries/entity well above the corruption
threshold of 100. This caused:
1. validateConsistency() to falsely detect corruption on every startup,
triggering unnecessary clearAllIndexData() + rebuild() cycles
2. getStats() to log false "Metadata index may be corrupted" warnings
and report inflated totalEntries/totalIds stats
Both methods now skip __words__ when counting, so stats and health
checks reflect metadata fields only (noun, type, createdAt, etc.).
Keyword search is unaffected since the __words__ field index itself
is not modified.
BREAKING CHANGE: Remove hard delete option from deleteVerb() for consistent API
- Add complete metadata namespace architecture with O(1) soft delete performance
- Implement periodic cleanup system for old soft-deleted items
- Add restore methods for both nouns and verbs
- Require metadata contracts for all augmentations
- Eliminate namespace collisions with clean separation (_brainy, _augmentations, _audit)
- Optimize index performance using flattened dot-notation for O(1) lookups
- Add comprehensive augmentation safety system with type-safe access control
- Maintain full backward compatibility for existing data
- Add enterprise-grade cleanup with configurable age thresholds and batch processing
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
