chore: recovery checkpoint - v3.0 API successfully recovered

CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025
This commit is contained in:
David Snelling 2025-09-10 15:18:04 -07:00
parent f65455fb22
commit 8ff382ca3b
895 changed files with 143654 additions and 28268 deletions

View file

@ -0,0 +1,35 @@
/**
* Static Pattern Matcher - NO runtime initialization, NO Brainy needed
*
* All patterns and embeddings are pre-computed at build time
* This is pure pattern matching with zero dependencies
*/
import { EMBEDDED_PATTERNS } from './embeddedPatterns.js';
import type { Vector } from '../coreTypes.js';
import type { TripleQuery } from '../triple/TripleIntelligence.js';
/**
* Match query against all patterns using embeddings
*/
export declare function findBestPatterns(queryEmbedding: Vector, k?: number): Array<{
pattern: typeof EMBEDDED_PATTERNS[0];
similarity: number;
}>;
/**
* Match query against patterns using regex
*/
export declare function matchPatternByRegex(query: string): {
pattern: typeof EMBEDDED_PATTERNS[0];
slots: Record<string, string>;
query: TripleQuery;
} | null;
/**
* Convert natural language to structured query using STATIC patterns
* NO initialization needed, NO Brainy required
*/
export declare function patternMatchQuery(query: string, queryEmbedding?: Vector): TripleQuery;
export declare const PATTERN_STATS: {
totalPatterns: number;
categories: string[];
domains: string[];
hasEmbeddings: boolean;
};