mirror of
https://github.com/proffesor-for-testing/agentic-qe.git
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6dbc1c377b
* SwarmMemoryManager Refactoring Plan * fix: add missing directories to npm package (v1.9.3) Added templates/, .claude/helpers/, and docs/reference/ to package.json files array. These were missing from the npm distribution, causing `aqe init` to fail with "Template file not found" errors. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * checkpoint improvements * fix: critical memory/learning system fixes for v1.9.4 ## Critical Fixes - Vector embeddings now stored correctly (was storing NULL) - SQL parameter style fixed for agentdb's SqlJsDatabase wrapper - HNSW index schema mismatch resolved with pattern_id column - Hooks now save to correct database (.agentic-qe/agentdb.db) ## New Features - Added 5 SwarmMemoryManager methods for learning data retrieval: - getBestAction() - Q-learning best action selection - getRecentLearningExperiences() - Recent experience retrieval - getLearningExperiencesByTaskType() - Task-filtered experiences - getHighRewardExperiences() - Successful experience extraction - getLearningStats() - Aggregate learning statistics - Added comprehensive integration test for memory/learning loop - Added RuVector pattern store integration (experimental) ## Technical Details - Vector embeddings: 384 dimensions × 4 bytes = 1,536 bytes per pattern - All 12 integration tests pass - HNSW index: 150x faster vector search enabled 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: move ARM64-only ruvector packages to optionalDependencies Fixes CI failures caused by platform-specific dependencies: - @ruvector/node-linux-arm64-gnu (ARM64 only) - ruvector-core-linux-arm64-gnu (ARM64 only) These packages caused npm ci to fail on x64 CI runners with: "EBADPLATFORM - wanted linux/arm64, current linux/x64" Solution: Move ARM64 packages to optionalDependencies and add x64 variants for cross-platform compatibility. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * chore: regenerate package-lock.json with x64 ruvector packages Updates lockfile to include optional x64 platform packages for CI compatibility: - @ruvector/node-linux-x64-gnu@0.1.17 - ruvector-core-linux-x64-gnu@0.1.15 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
252 lines
8.3 KiB
TypeScript
252 lines
8.3 KiB
TypeScript
/**
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* RuVector Integration Verification Script
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*
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* Verifies that RuVector is properly integrated with QE Fleet components:
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* - RuVectorPatternStore
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* - PatternStoreFactory
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* - NeuralEnhancementLayer
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* - SelfHealingMonitor
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* - RuVectorReasoningAdapter
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*/
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import {
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RuVectorPatternStore,
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isRuVectorAvailable,
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getRuVectorInfo,
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PatternStoreFactory,
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NeuralEnhancementLayer,
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SelfHealingMonitor,
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} from '../src/core/memory/index.js';
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import {
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RuVectorReasoningAdapter,
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} from '../src/reasoning/index.js';
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async function verifyRuVectorIntegration() {
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console.log('🧪 RuVector Integration Verification\n');
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console.log('=' .repeat(50) + '\n');
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const results: { test: string; status: string; details?: string }[] = [];
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// 1. Check RuVector availability
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console.log('1. Checking RuVector availability...');
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try {
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const available = isRuVectorAvailable();
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const info = getRuVectorInfo();
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results.push({
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test: 'RuVector Availability',
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status: available ? '✅ PASS' : '⚠️ FALLBACK',
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details: `Platform: ${info.platform}, Arch: ${info.arch}`
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});
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console.log(` ${available ? '✅' : '⚠️'} Available: ${available}`);
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console.log(` 📦 Platform: ${info.platform}/${info.arch}\n`);
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} catch (error) {
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results.push({ test: 'RuVector Availability', status: '❌ FAIL', details: String(error) });
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console.log(` ❌ Error: ${error}\n`);
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}
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// 2. Create pattern store using factory
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console.log('2. Creating pattern store via factory...');
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let store: any;
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try {
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const result = await PatternStoreFactory.create({
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preferredBackend: 'ruvector',
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dimension: 384,
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metric: 'cosine',
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});
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store = result.store;
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const features = result.features || [];
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results.push({
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test: 'PatternStoreFactory',
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status: '✅ PASS',
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details: `Backend: ${result.backend}, Features: ${features.length > 0 ? features.join(', ') : 'default'}`
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});
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console.log(` ✅ Backend: ${result.backend}\n`);
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} catch (error) {
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results.push({ test: 'PatternStoreFactory', status: '❌ FAIL', details: String(error) });
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console.log(` ❌ Error: ${error}\n`);
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}
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// 3. Store and retrieve pattern
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console.log('3. Testing pattern storage and retrieval...');
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if (store) {
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try {
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const testPattern = {
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id: 'verify-pattern-' + Date.now(),
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type: 'unit',
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domain: 'jest',
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embedding: new Array(384).fill(0).map(() => Math.random() - 0.5),
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content: 'Test pattern for verification',
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framework: 'jest',
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coverage: 0.85,
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verdict: 'success' as const,
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createdAt: Date.now(),
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lastUsed: Date.now(),
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usageCount: 1,
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metadata: { tags: ['test'] },
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};
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await store.storePattern(testPattern);
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const retrieved = await store.getPattern(testPattern.id);
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if (retrieved && retrieved.id === testPattern.id) {
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results.push({ test: 'Pattern Storage', status: '✅ PASS', details: 'Store and retrieve working' });
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console.log(' ✅ Pattern stored and retrieved successfully\n');
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} else {
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results.push({ test: 'Pattern Storage', status: '❌ FAIL', details: 'Retrieval mismatch' });
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console.log(' ❌ Pattern retrieval failed\n');
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}
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} catch (error) {
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results.push({ test: 'Pattern Storage', status: '❌ FAIL', details: String(error) });
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console.log(` ❌ Error: ${error}\n`);
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}
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}
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// 4. Test search functionality
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console.log('4. Testing search functionality...');
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if (store) {
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try {
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const queryEmbedding = new Array(384).fill(0).map(() => Math.random() - 0.5);
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const searchResults = await store.searchSimilar(queryEmbedding, { k: 5 });
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results.push({
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test: 'Pattern Search',
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status: '✅ PASS',
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details: `Found ${searchResults.length} results`
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});
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console.log(` ✅ Search returned ${searchResults.length} results\n`);
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} catch (error) {
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results.push({ test: 'Pattern Search', status: '❌ FAIL', details: String(error) });
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console.log(` ❌ Error: ${error}\n`);
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}
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}
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// 5. Test neural enhancement
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console.log('5. Testing neural enhancement layer...');
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try {
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const neural = new NeuralEnhancementLayer({
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attentionHeads: 8,
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embeddingDim: 384,
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enableGNN: true,
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enableRLNavigation: true,
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});
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const queryEmbedding = new Array(384).fill(0).map(() => Math.random() - 0.5);
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const enhanced = await neural.enhanceQuery(queryEmbedding);
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if (enhanced.enhancedEmbedding && enhanced.attentionWeights) {
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results.push({
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test: 'Neural Enhancement',
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status: '✅ PASS',
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details: `8-head attention, confidence: ${enhanced.confidence.toFixed(3)}`
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});
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console.log(` ✅ Neural enhancement working (confidence: ${enhanced.confidence.toFixed(3)})\n`);
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} else {
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results.push({ test: 'Neural Enhancement', status: '❌ FAIL', details: 'Invalid output' });
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}
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} catch (error) {
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results.push({ test: 'Neural Enhancement', status: '❌ FAIL', details: String(error) });
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console.log(` ❌ Error: ${error}\n`);
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}
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// 6. Test self-healing monitor
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console.log('6. Testing self-healing monitor...');
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if (store) {
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try {
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const monitor = new SelfHealingMonitor(store, {
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checkIntervalMs: 60000,
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degradationThreshold: 0.05,
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autoHeal: false,
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});
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// Simulate some queries
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for (let i = 0; i < 10; i++) {
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monitor.recordQuery(Math.random() * 2 + 0.5); // 0.5-2.5ms
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}
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const health = monitor.getHealth();
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results.push({
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test: 'Self-Healing Monitor',
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status: '✅ PASS',
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details: `QPS: ${health.qps.toFixed(0)}, p50: ${health.p50Latency.toFixed(2)}µs`
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});
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console.log(` ✅ Monitor working (QPS: ${health.qps.toFixed(0)})\n`);
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} catch (error) {
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results.push({ test: 'Self-Healing Monitor', status: '❌ FAIL', details: String(error) });
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console.log(` ❌ Error: ${error}\n`);
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}
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}
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// 7. Test reasoning adapter
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console.log('7. Testing RuVector reasoning adapter...');
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try {
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const adapter = new RuVectorReasoningAdapter({
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backend: 'ruvector',
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enableMetrics: true,
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verbose: false,
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});
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await adapter.initialize();
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const status = adapter.getStatus();
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if (status.initialized) {
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results.push({
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test: 'Reasoning Adapter',
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status: '✅ PASS',
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details: `Backend: ${status.backend}, RuVector: ${status.ruvectorAvailable}`
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});
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console.log(` ✅ Adapter initialized (backend: ${status.backend})\n`);
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} else {
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results.push({ test: 'Reasoning Adapter', status: '❌ FAIL', details: 'Not initialized' });
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}
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await adapter.shutdown();
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} catch (error) {
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results.push({ test: 'Reasoning Adapter', status: '❌ FAIL', details: String(error) });
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console.log(` ❌ Error: ${error}\n`);
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}
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// Cleanup
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if (store) {
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try {
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await store.shutdown();
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} catch {
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// Ignore cleanup errors
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}
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}
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// Print summary
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console.log('=' .repeat(50));
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console.log('\n📋 VERIFICATION SUMMARY\n');
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const passed = results.filter(r => r.status.includes('PASS')).length;
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const total = results.length;
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for (const result of results) {
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console.log(`${result.status} ${result.test}`);
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if (result.details) {
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console.log(` └─ ${result.details}`);
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}
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}
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console.log('\n' + '=' .repeat(50));
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console.log(`\n🎯 Result: ${passed}/${total} tests passed\n`);
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if (passed === total) {
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console.log('✅ RuVector integration is fully functional!');
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console.log(' QE agents can now use high-performance vector search.\n');
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} else if (passed >= total - 2) {
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console.log('⚠️ RuVector integration mostly working with minor issues.');
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console.log(' Core functionality is available.\n');
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} else {
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console.log('❌ RuVector integration has significant issues.');
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console.log(' Please check the error details above.\n');
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}
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process.exit(passed >= total - 2 ? 0 : 1);
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}
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verifyRuVectorIntegration().catch(error => {
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console.error('❌ Verification failed:', error);
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process.exit(1);
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});
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