David Snelling
b3c4f348ab
Add production-ready Virtual File System with intelligent Knowledge Layer: Core VFS Features: - Complete file system operations (read, write, mkdir, etc.) - Intelligent PathResolver with 4-layer caching system - Chunked storage for large files with real compression - Embedding generation for semantic operations - File relationships and metadata tracking - Import functionality from local filesystem Knowledge Layer Integration: - EventRecorder for complete file history and temporal coupling - SemanticVersioning with content-based change detection - PersistentEntitySystem for character/entity tracking across files - ConceptSystem for universal concept mapping and graphs - GitBridge for import/export between VFS and Git repositories Architecture: - KnowledgeAugmentation properly integrated into Brainy augmentation system - KnowledgeLayer wrapper provides real-time VFS operation interception - Background processing ensures VFS operations remain fast - All components use real Brainy embed() method for embeddings - Support for creative writing, coding projects, and project management Technical Implementation: - Fixed all stub/mock implementations with real working code - TypeScript compilation passes without errors - Comprehensive test suite demonstrating all features - Documentation covering architecture and usage patterns - Backwards compatible with existing Brainy functionality This enables scenarios like writing books with persistent characters, managing coding projects with concept tracking, and complete project coordination with intelligent file relationships.
77 lines
No EOL
2 KiB
JavaScript
77 lines
No EOL
2 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Simple VFS test to verify it actually works
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*/
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import { Brainy } from './dist/brainy.js'
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async function testVFS() {
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console.log('🧪 Testing VFS with real Brainy instance...\n')
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const brain = new Brainy({
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storage: { type: 'memory' },
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silent: true,
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augmentations: {
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knowledge: true // Enable Knowledge Layer
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}
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})
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await brain.init()
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// Get VFS instance
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const vfs = brain.vfs()
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await vfs.init()
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console.log('✅ VFS initialized')
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// Test 1: Write a file
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const content = 'Hello, VFS World!'
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await vfs.writeFile('/test.txt', content)
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console.log('✅ File written: /test.txt')
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// Test 2: Read the file back
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const result = await vfs.readFile('/test.txt')
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const readContent = result.toString()
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console.log('✅ File read:', readContent)
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if (readContent !== content) {
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throw new Error(`Content mismatch! Expected: ${content}, Got: ${readContent}`)
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}
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// Test 3: Create directory
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await vfs.mkdir('/my-folder')
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console.log('✅ Directory created: /my-folder')
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// Test 4: Write file in directory
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await vfs.writeFile('/my-folder/nested.txt', 'Nested content')
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console.log('✅ Nested file written')
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// Test 5: List directory
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const files = await vfs.readdir('/my-folder')
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console.log('✅ Directory contents:', files)
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// Test 6: Search (uses embeddings)
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const searchResults = await vfs.search('Hello world')
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console.log('✅ Search results:', searchResults.length, 'files found')
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// Test 7: Check if Knowledge Layer is active
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if (vfs.getHistory) {
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console.log('✅ Knowledge Layer detected')
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const history = await vfs.getHistory('/test.txt')
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console.log('✅ File history:', history ? history.length : 0, 'events')
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} else {
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console.log('❌ Knowledge Layer NOT active')
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}
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// Clean up
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await vfs.close()
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await brain.close()
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console.log('\n✅ All VFS tests passed!')
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}
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testVFS().catch(err => {
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console.error('❌ Test failed:', err)
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process.exit(1)
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}) |