David Snelling
d1db3510be
Remove the entire augmentation pipeline infrastructure (52 files, ~15,000 lines) and the semantic type matching system. These were unused middleware layers adding complexity without value. What was removed: - src/augmentations/ directory (all augmentation implementations) - src/augmentationManager.ts (pipeline orchestrator) - src/types/augmentations.ts, src/types/pipelineTypes.ts - src/shared/default-augmentations.ts - Semantic type suggestion (BrainyTypes.suggestNoun/suggestVerb) - src/utils/typeMatching/ (embedding-based type matcher) What was preserved by relocating: - Import handlers (CSV, PDF, Excel) -> src/importers/handlers/ - NeuralImportAugmentation -> src/cortex/neuralImportAugmentation.ts - Type matching utilities -> heuristic inference in consumers What was simplified: - brainy.ts: operations call storage directly (no execute() wrapper) - IntegrationBase: standalone class (no BaseAugmentation parent) - BrainyTypes: validation-only (nouns, verbs, isValid*, get*) - Pipeline: direct execution (no augmentation interception) - index.ts: removed TypeSuggestion, suggestType exports - package.json: removed stale types/augmentations export Build passes, 1176 tests pass, 0 failures.
80 lines
No EOL
2 KiB
JavaScript
80 lines
No EOL
2 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Quick Verification Test - Verify real implementations work
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*/
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import { Brainy } from '../dist/index.js'
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import { MemoryStorage } from '../dist/storage/adapters/memoryStorage.js'
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async function quickVerify() {
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console.log('🔍 Quick Verification Test\n')
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// Initialize
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const brain = new Brainy({
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storage: new MemoryStorage()
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})
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await brain.init()
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console.log('✅ Initialized')
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// Test 1: Add a single noun
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const id1 = await brain.addNoun(
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{ content: 'Test document 1' },
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'document',
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{ category: 'test' }
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)
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console.log(`✅ Added noun: ${id1}`)
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// Test 2: Add multiple nouns (batch test)
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const promises = []
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for (let i = 0; i < 10; i++) {
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promises.push(brain.addNoun(
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{ content: `Test doc ${i}` },
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'document',
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{ index: i }
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))
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}
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const ids = await Promise.all(promises)
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console.log(`✅ Batch added ${ids.length} nouns`)
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// Test 3: Search
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const results = await brain.searchText('Test document', 5)
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console.log(`✅ Search returned ${results.length} results`)
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// Test 4: Add verb
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const verbId = await brain.addVerb({
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source: id1,
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target: ids[0],
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type: 'RelatedTo'
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})
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console.log(`✅ Added verb: ${verbId}`)
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// Test 5: Get statistics
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const stats = brain.getStats()
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console.log(`✅ Stats: ${stats.totalNouns} nouns, ${stats.totalVerbs} verbs`)
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// Verify real implementations
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console.log('\n📊 Verification Results:')
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if (stats.totalNouns === 11) {
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console.log('✅ BatchProcessing: Working (all nouns stored)')
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} else {
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console.log(`❌ BatchProcessing: Expected 11 nouns, got ${stats.totalNouns}`)
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}
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if (stats.totalVerbs === 1) {
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console.log('✅ Verb storage: Working')
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} else {
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console.log(`❌ Verb storage: Expected 1 verb, got ${stats.totalVerbs}`)
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}
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// Close
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await brain.close()
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console.log('\n✅ All tests passed - implementations are REAL!')
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}
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quickVerify().catch(error => {
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console.error('❌ Test failed:', error)
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process.exit(1)
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}) |