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@kb-labs/mind-indexer

v2.15.0

Published

Delta indexing for KB Labs Mind

Readme

@kb-labs/mind-indexer

Delta indexing for KB Labs Mind.

Vision & Purpose

@kb-labs/mind-indexer provides delta indexing for KB Labs Mind. It includes index initialization, update operations, cache management, and TypeScript export extraction.

Core Goals

  • Index Initialization: Initialize Mind index structure
  • Index Updates: Update indexes with delta changes
  • Cache Management: LRU cache for index data
  • Export Extraction: Extract TypeScript exports from files

Package Status

  • Version: 0.1.0
  • Stage: Stable
  • Status: Production Ready ✅

Architecture

High-Level Overview

Mind Indexer
    │
    ├──► Index Initialization
    ├──► Index Updates
    ├──► Cache Management
    ├──► Export Extraction
    └──► File System Utilities

Key Components

  1. API (api/): Index initialization and update APIs
  2. Indexers (indexers/): Indexer implementations
  3. Cache (cache/): LRU cache for index data
  4. Adapters (adapters/): TypeScript export extractor
  5. FS (fs/): File system utilities
  6. Orchestrator (orchestrator/): Index orchestration

✨ Features

  • Index Initialization: Initialize Mind index structure
  • Index Updates: Update indexes with delta changes
  • Cache Management: LRU cache for index data
  • Export Extraction: Extract TypeScript exports from files
  • File System Utilities: JSON read/write, hash computation

📦 API Reference

Main Exports

Index Initialization

  • initMindStructure: Initialize Mind index structure

Index Updates

  • updateIndexes: Update indexes with delta changes

Cache

  • LRUCache: LRU cache implementation
  • FileCache: File-based cache

Export Extraction

  • TSExtractor: TypeScript export extractor

File System

  • readJson: Read JSON file
  • writeJson: Write JSON file
  • computeJsonHash: Compute JSON hash

🔧 Configuration

Configuration Options

All configuration via function parameters.

🔗 Dependencies

Runtime Dependencies

  • @kb-labs/mind-adapters (link:../mind-adapters): Mind adapters
  • @kb-labs/mind-core (link:../mind-core): Mind core
  • @kb-labs/mind-types (link:../mind-types): Mind types
  • typescript (^5.6.3): TypeScript compiler

Development Dependencies

  • @kb-labs/devkit (link:../../../kb-labs-devkit): DevKit presets
  • @types/node (^24.7.0): Node.js types
  • tsup (^8.5.0): TypeScript bundler
  • typescript (^5.6.3): TypeScript compiler
  • vitest (^3.2.4): Test runner

🧪 Testing

Test Structure

src/__tests__/
└── (3 test files)

Test Coverage

  • Current Coverage: ~75%
  • Target Coverage: 90%

📈 Performance

Performance Characteristics

  • Time Complexity: O(n) for indexing, O(1) for cache operations
  • Space Complexity: O(n) where n = number of files
  • Bottlenecks: Large codebase indexing

🔒 Security

Security Considerations

  • Path Validation: Path validation for file operations
  • File System: Secure file system operations

Known Vulnerabilities

  • None

🐛 Known Issues & Limitations

Known Issues

  • None currently

Limitations

  • Index Size: Performance degrades with very large codebases
  • TypeScript Only: Currently supports TypeScript only

Future Improvements

  • More Languages: Support for more languages
  • Performance: Optimize for large codebases

🔄 Migration & Breaking Changes

Migration from Previous Versions

No breaking changes in current version (0.1.0).

Breaking Changes in Future Versions

  • None planned

📚 Examples

Example 1: Initialize Mind Structure

import { initMindStructure } from '@kb-labs/mind-indexer';

await initMindStructure({
  cwd: process.cwd(),
});

Example 2: Update Indexes

import { updateIndexes } from '@kb-labs/mind-indexer';

const report = await updateIndexes({
  cwd: process.cwd(),
  since: 'HEAD~1',
});

Example 3: Use Cache

import { LRUCache } from '@kb-labs/mind-indexer';

const cache = new LRUCache<string, unknown>({ maxSize: 100 });
cache.set('key', value);
const value = cache.get('key');

🤝 Contributing

See CONTRIBUTING.md for development guidelines.

📄 License

MIT © KB Labs