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brainy/CLAUDE.md
David Snelling f024e56ee7 feat: add aggregation engine with incremental SUM/COUNT/AVG/MIN/MAX, GROUP BY, and time windows 
Add a write-time incremental aggregation engine that maintains running
totals on every add/update/delete for O(1) read performance. Integrates
into brain.find({ aggregate }) for a unified query API.

Core features:
- AggregationIndex with defineAggregate()/removeAggregate() API
- Five aggregation operations: SUM, COUNT, AVG, MIN, MAX
- GROUP BY with multiple dimensions including time windows
- Time window bucketing: hour, day, week, month, quarter, year, custom
- Materialization of results as NounType.Measurement entities
- Debounced persistence of definitions and state to storage
- Definition change detection via FNV-1a hashing with auto-rebuild
- Infinite loop prevention for materialized entities
- 'aggregation' plugin provider key for native acceleration
- Lazy initialization (created on first defineAggregate() call)
- 73 tests (unit + integration) covering all functionality

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 16:57:53 -08:00

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Brainy - Claude Code Project Guide

This file provides guidance for Claude Code (and human contributors) when working on the Brainy codebase.

Project Overview

Brainy is a Universal Knowledge Protocol -- a Triple Intelligence database that combines vector similarity search, graph traversal, and metadata filtering into a single TypeScript library. Published as @soulcraft/brainy on npm under the MIT license.

Getting Started

npm install           # Install dependencies
npm run build         # Build the project
npm test              # Run test suite (Vitest)

Architecture

Full architecture reference: .claude/skills/architecture.md

Core Systems

  • Storage (src/storage/): Pluggable storage backends via StorageAdapter interface (src/coreTypes.ts)
  • Vector Search (src/hnsw/): HNSW approximate nearest neighbor search
  • Graph Engine (src/graph/): Relationship traversal with adjacency index and pathfinding
  • Metadata Index (src/utils/metadataIndex.ts): O(1) exact match, O(log n) range queries
  • Triple Intelligence (src/triple/): Unified query combining all three intelligence types
  • Aggregation Engine (src/aggregation/): Write-time incremental SUM/COUNT/AVG/MIN/MAX with GROUP BY and time windows
  • Virtual Filesystem (src/vfs/): Full VFS with semantic search

Type System

  • NounType (42 types): Entity classification -- Person, Concept, Collection, Document, Task, etc.
  • VerbType (127 types): Relationship types -- Contains, RelatedTo, PartOf, Creates, DependsOn, etc.
  • Defined in src/types/graphTypes.ts

Code Standards

TypeScript

  • Strict mode enabled
  • Target: ES2020, NodeNext module resolution
  • All new code must be TypeScript
  • Follow existing patterns -- read related code before writing

Quality

  • All code must compile without errors
  • All code must have working tests that exercise real behavior
  • No stub returns (return {} as any)
  • No incomplete implementations with TODO comments
  • If something can't be fully implemented, throw an explicit error rather than faking it

Verification Before Code Changes

  1. Check that interfaces and methods actually exist before using them
  2. Check that type properties are in the type definitions
  3. Run npm test -- tests must pass
  4. Run npm run build -- build must succeed

Testing

  • Framework: Vitest
  • Tests in tests/ (unit, integration, benchmarks, comprehensive)
  • Use in-memory storage for speed where possible
  • Tests must exercise real behavior, not mock it
  • Benchmarks are in tests/benchmarks/ (not tests/performance/)

Commit Conventions

Use Conventional Commits:

feat: add new feature        (minor version bump)
fix: resolve bug             (patch version bump)
docs: update documentation   (patch version bump)
perf: improve performance    (patch version bump)
refactor: restructure code   (patch version bump)
test: add/update tests       (patch version bump)

Important: Never use BREAKING CHANGE in commit messages. Major version bumps are manual decisions only (npm run release:major).

Release Process

Fully automated via scripts/release.sh:

npm run release:dry          # Preview (no changes)
npm run release:patch        # Bug fixes
npm run release:minor        # New features
npm run release:major        # Breaking changes (rare, manual decision)

The script: verifies clean git state, builds, tests, bumps version, updates CHANGELOG.md, commits, tags, pushes, publishes to npm, and creates a GitHub release.

Performance Claims

When documenting performance characteristics:

  • MEASURED: Cite the test file and line number
  • PROJECTED: Clearly label as extrapolated from tested scale
  • Never claim a performance figure without context or evidence

Debugging

When a bug persists through 2+ fix attempts, switch to systematic debugging:

  1. Add comprehensive logging at every step
  2. Test with production-like data
  3. Trace the complete execution path
  4. Check both library code and consumer code
  5. Verify with actual test execution before declaring fixed

Key Paths

  • Main class: src/brainy.ts
  • Public API: src/index.ts (38+ exports)
  • Storage interface: src/coreTypes.ts
  • Type definitions: src/types/
  • Strategy/planning docs: .strategy/ (gitignored, not public)