/** * Comprehensive Examples for Automatic Features (Phase 5) * * This file demonstrates the automatic pinning and PubSub capabilities: * - Smart pinning strategies based on usage patterns * - Automatic event publishing for model changes * - Real-time synchronization across nodes * - Performance optimization through intelligent caching * - Cross-node communication and coordination */ import { SocialPlatformFramework, User, Post, Comment } from './framework-integration'; import { PinningManager } from '../src/framework/pinning/PinningManager'; import { PubSubManager } from '../src/framework/pubsub/PubSubManager'; export class AutomaticFeaturesExamples { private framework: SocialPlatformFramework; private pinningManager: PinningManager; private pubsubManager: PubSubManager; constructor(framework: SocialPlatformFramework) { this.framework = framework; // These would be injected from the framework this.pinningManager = (framework as any).pinningManager; this.pubsubManager = (framework as any).pubsubManager; } async runAllExamples(): Promise { console.log('๐Ÿค– Running comprehensive automatic features examples...\n'); await this.pinningStrategyExamples(); await this.automaticEventPublishingExamples(); await this.realTimeSynchronizationExamples(); await this.crossNodeCommunicationExamples(); await this.performanceOptimizationExamples(); await this.intelligentCleanupExamples(); console.log('โœ… All automatic features examples completed!\n'); } async pinningStrategyExamples(): Promise { console.log('๐Ÿ“Œ Smart Pinning Strategy Examples'); console.log('==================================\n'); // Configure different pinning strategies for different model types console.log('Setting up pinning strategies:'); // Popular content gets pinned based on access patterns this.pinningManager.setPinningRule('Post', { strategy: 'popularity', factor: 1.5, maxPins: 100, minAccessCount: 5 }); // User profiles are always pinned (important core data) this.pinningManager.setPinningRule('User', { strategy: 'fixed', factor: 2.0, maxPins: 50 }); // Comments use size-based pinning (prefer smaller, more efficient content) this.pinningManager.setPinningRule('Comment', { strategy: 'size', factor: 1.0, maxPins: 200 }); // Create sample content and observe pinning behavior const posts = await Post.where('isPublic', '=', true).limit(5).exec(); if (posts.length > 0) { console.log('\nDemonstrating automatic pinning:'); for (let i = 0; i < posts.length; i++) { const post = posts[i]; const hash = `hash-${post.id}-${Date.now()}`; // Simulate content access patterns for (let access = 0; access < (i + 1) * 3; access++) { await this.pinningManager.recordAccess(hash); } // Pin content based on strategy const pinned = await this.pinningManager.pinContent( hash, 'Post', post.id, { title: post.title, createdAt: post.createdAt, size: post.content.length } ); console.log(`Post "${post.title}": ${pinned ? 'PINNED' : 'NOT PINNED'} (${(i + 1) * 3} accesses)`); } // Show pinning metrics const metrics = this.pinningManager.getMetrics(); console.log('\nPinning Metrics:'); console.log(`- Total pinned: ${metrics.totalPinned}`); console.log(`- Total size: ${(metrics.totalSize / 1024).toFixed(2)} KB`); console.log(`- Most accessed: ${metrics.mostAccessed?.hash || 'None'}`); console.log(`- Strategy breakdown:`); metrics.strategyBreakdown.forEach((count, strategy) => { console.log(` * ${strategy}: ${count} items`); }); } console.log(''); } async automaticEventPublishingExamples(): Promise { console.log('๐Ÿ“ก Automatic Event Publishing Examples'); console.log('======================================\n'); // Set up event listeners to demonstrate automatic publishing const events: any[] = []; await this.pubsubManager.subscribe('model.created', (event) => { events.push({ type: 'created', ...event }); console.log(`๐Ÿ†• Model created: ${event.data.modelName}:${event.data.modelId}`); }); await this.pubsubManager.subscribe('model.updated', (event) => { events.push({ type: 'updated', ...event }); console.log(`๐Ÿ“ Model updated: ${event.data.modelName}:${event.data.modelId}`); }); await this.pubsubManager.subscribe('model.deleted', (event) => { events.push({ type: 'deleted', ...event }); console.log(`๐Ÿ—‘๏ธ Model deleted: ${event.data.modelName}:${event.data.modelId}`); }); console.log('Event listeners set up, creating test data...\n'); // Create data and observe automatic event publishing const testUser = await User.create({ username: `testuser-${Date.now()}`, email: `test${Date.now()}@example.com`, bio: 'Testing automatic event publishing' }); // Simulate event emission (in real implementation, this would be automatic) this.pubsubManager.emit('modelEvent', 'create', testUser); const testPost = await Post.create({ title: 'Testing Automatic Events', content: 'This post creation should trigger automatic event publishing', userId: testUser.id, isPublic: true }); this.pubsubManager.emit('modelEvent', 'create', testPost); // Update the post await testPost.update({ title: 'Updated: Testing Automatic Events' }); this.pubsubManager.emit('modelEvent', 'update', testPost, { title: 'Updated title' }); // Wait a moment for event processing await new Promise(resolve => setTimeout(resolve, 1000)); console.log(`\nCaptured ${events.length} automatic events:`); events.forEach((event, index) => { console.log(`${index + 1}. ${event.type}: ${event.data?.modelName || 'unknown'}`); }); console.log(''); } async realTimeSynchronizationExamples(): Promise { console.log('โšก Real-Time Synchronization Examples'); console.log('=====================================\n'); // Simulate multiple nodes subscribing to the same topics const nodeEvents: Record = { node1: [], node2: [], node3: [] }; // Subscribe each "node" to model events await this.pubsubManager.subscribe('model.*', (event) => { nodeEvents.node1.push(event); }, { filter: (event) => event.data.modelName === 'Post' }); await this.pubsubManager.subscribe('model.*', (event) => { nodeEvents.node2.push(event); }, { filter: (event) => event.data.modelName === 'User' }); await this.pubsubManager.subscribe('model.*', (event) => { nodeEvents.node3.push(event); }); // No filter - receives all events console.log('Multiple nodes subscribed to synchronization topics'); // Generate events that should synchronize across nodes const syncUser = await User.create({ username: `syncuser-${Date.now()}`, email: `sync${Date.now()}@example.com`, bio: 'User for testing real-time sync' }); const syncPost = await Post.create({ title: 'Real-Time Sync Test', content: 'This should synchronize across all subscribed nodes', userId: syncUser.id, isPublic: true }); // Emit events await this.pubsubManager.publish('model.created', { modelName: 'User', modelId: syncUser.id, timestamp: Date.now() }); await this.pubsubManager.publish('model.created', { modelName: 'Post', modelId: syncPost.id, timestamp: Date.now() }); // Wait for synchronization await new Promise(resolve => setTimeout(resolve, 1500)); console.log('\nSynchronization results:'); console.log(`Node 1 (Post filter): ${nodeEvents.node1.length} events received`); console.log(`Node 2 (User filter): ${nodeEvents.node2.length} events received`); console.log(`Node 3 (No filter): ${nodeEvents.node3.length} events received`); // Demonstrate conflict resolution console.log('\nSimulating conflict resolution:'); await this.pubsubManager.publish('database.conflict', { modelName: 'Post', modelId: syncPost.id, conflictType: 'concurrent_update', resolution: 'last_write_wins', timestamp: Date.now() }); console.log(''); } async crossNodeCommunicationExamples(): Promise { console.log('๐ŸŒ Cross-Node Communication Examples'); console.log('====================================\n'); // Simulate coordination between nodes const coordinationEvents: any[] = []; // Set up coordination topics await this.pubsubManager.subscribe('node.heartbeat', (event) => { coordinationEvents.push(event); console.log(`๐Ÿ’“ Heartbeat from ${event.source}: ${event.data.status}`); }); await this.pubsubManager.subscribe('node.resource', (event) => { coordinationEvents.push(event); console.log(`๐Ÿ“Š Resource update from ${event.source}: ${event.data.type}`); }); await this.pubsubManager.subscribe('cluster.rebalance', (event) => { coordinationEvents.push(event); console.log(`โš–๏ธ Cluster rebalance initiated: ${event.data.reason}`); }); console.log('Cross-node communication channels established\n'); // Simulate node communication await this.pubsubManager.publish('node.heartbeat', { status: 'healthy', load: 0.65, memory: '2.1GB', connections: 42 }); await this.pubsubManager.publish('node.resource', { type: 'storage', available: '5.2TB', used: '2.8TB', threshold: 0.8 }); await this.pubsubManager.publish('cluster.rebalance', { reason: 'load_balancing', nodes: ['node-a', 'node-b', 'node-c'], strategy: 'round_robin' }); // Demonstrate distributed consensus console.log('Initiating distributed consensus...'); await this.pubsubManager.publish('consensus.propose', { proposalId: `proposal-${Date.now()}`, type: 'pin_strategy_change', data: { modelName: 'Post', newStrategy: 'popularity', newFactor: 2.0 }, requiredVotes: 3 }); await new Promise(resolve => setTimeout(resolve, 1000)); console.log(`\nCommunication events processed: ${coordinationEvents.length}`); console.log('Cross-node coordination completed successfully'); console.log(''); } async performanceOptimizationExamples(): Promise { console.log('๐Ÿš€ Performance Optimization Examples'); console.log('====================================\n'); // Demonstrate intelligent cache warming console.log('1. Intelligent Cache Warming:'); const popularPosts = await Post .where('isPublic', '=', true) .where('likeCount', '>', 10) .orderBy('likeCount', 'desc') .limit(10) .exec(); // Pre-pin popular content for (const post of popularPosts) { const hash = `hash-${post.id}-content`; await this.pinningManager.pinContent(hash, 'Post', post.id, { title: post.title, likeCount: post.likeCount, priority: 'high' }); } console.log(`Pre-pinned ${popularPosts.length} popular posts for better performance`); // Demonstrate predictive pinning console.log('\n2. Predictive Pinning:'); const analysis = this.pinningManager.analyzePerformance(); console.log(`Current hit rate: ${(analysis.hitRate * 100).toFixed(2)}%`); console.log(`Storage efficiency: ${(analysis.storageEfficiency * 100).toFixed(2)}%`); console.log(`Average priority: ${analysis.averagePriority.toFixed(3)}`); // Simulate access pattern analysis const accessPatterns = this.analyzeAccessPatterns(); console.log(`\n3. Access Pattern Analysis:`); console.log(`Peak access time: ${accessPatterns.peakHour}:00`); console.log(`Most accessed content type: ${accessPatterns.mostAccessedType}`); console.log(`Cache miss rate: ${(accessPatterns.missRate * 100).toFixed(2)}%`); // Optimize based on patterns if (accessPatterns.missRate > 0.1) { // 10% miss rate console.log('\nHigh miss rate detected, optimizing...'); await this.optimizePinningStrategy(accessPatterns); } console.log(''); } async intelligentCleanupExamples(): Promise { console.log('๐Ÿงน Intelligent Cleanup Examples'); console.log('===============================\n'); // Get initial stats const initialStats = this.pinningManager.getStats(); console.log('Initial state:'); console.log(`- Pinned items: ${initialStats.totalPinned}`); console.log(`- Total size: ${(initialStats.totalSize / 1024).toFixed(2)} KB`); // Create some test content that will be cleaned up const testHashes = []; for (let i = 0; i < 10; i++) { const hash = `test-cleanup-${i}-${Date.now()}`; testHashes.push(hash); await this.pinningManager.pinContent(hash, 'Comment', `comment-${i}`, { content: `Test comment ${i} for cleanup`, size: 100 + i * 10, priority: Math.random() * 0.3 // Low priority }); } console.log(`\nCreated ${testHashes.length} test items for cleanup`); // Simulate time passing (items become stale) console.log('Simulating passage of time...'); // Artificially age some items for (let i = 0; i < 5; i++) { const hash = testHashes[i]; const item = (this.pinningManager as any).pinnedItems.get(hash); if (item) { item.lastAccessed = Date.now() - (8 * 24 * 60 * 60 * 1000); // 8 days ago item.accessCount = 1; // Very low access } } // Trigger cleanup console.log('Triggering intelligent cleanup...'); const cleanedItems = await (this.pinningManager as any).performCleanup(); const finalStats = this.pinningManager.getStats(); console.log('\nCleanup results:'); console.log(`- Items after cleanup: ${finalStats.totalPinned}`); console.log(`- Size freed: ${((initialStats.totalSize - finalStats.totalSize) / 1024).toFixed(2)} KB`); console.log(`- Cleanup efficiency: ${((initialStats.totalPinned - finalStats.totalPinned) / initialStats.totalPinned * 100).toFixed(2)}%`); // Demonstrate memory optimization console.log('\nMemory optimization metrics:'); const memoryAnalysis = this.analyzeMemoryUsage(); console.log(`- Memory utilization: ${(memoryAnalysis.utilization * 100).toFixed(2)}%`); console.log(`- Fragmentation ratio: ${(memoryAnalysis.fragmentation * 100).toFixed(2)}%`); console.log(`- Recommended cleanup interval: ${memoryAnalysis.recommendedInterval}ms`); console.log(''); } // Helper methods for analysis and optimization private analyzeAccessPatterns(): any { // Simulate access pattern analysis return { peakHour: 14, // 2 PM mostAccessedType: 'Post', missRate: 0.15, trendsDetected: ['increased_mobile_access', 'peak_evening_hours'], recommendations: ['increase_post_pinning', 'reduce_comment_pinning'] }; } private async optimizePinningStrategy(patterns: any): Promise { console.log('Applying optimization based on access patterns:'); // Increase pinning for most accessed content type if (patterns.mostAccessedType === 'Post') { this.pinningManager.setPinningRule('Post', { strategy: 'popularity', factor: 2.0, maxPins: 150 // Increased from 100 }); console.log('- Increased Post pinning capacity'); } // Adjust cleanup frequency based on miss rate if (patterns.missRate > 0.2) { // More aggressive cleanup needed console.log('- Enabled more aggressive cleanup'); } console.log('Optimization complete'); } private analyzeMemoryUsage(): any { const stats = this.pinningManager.getStats(); return { utilization: stats.totalSize / (10 * 1024 * 1024), // Assuming 10MB limit fragmentation: 0.12, // 12% fragmentation recommendedInterval: stats.totalPinned > 100 ? 30000 : 60000, // More frequent cleanup if many items hotspots: ['user_profiles', 'recent_posts'], coldSpots: ['old_comments', 'archived_content'] }; } async demonstrateAdvancedAutomation(): Promise { console.log('๐Ÿค– Advanced Automation Demonstration'); console.log('===================================\n'); // Demonstrate self-healing capabilities console.log('1. Self-Healing System:'); // Simulate node failure detection await this.pubsubManager.publish('node.failure', { nodeId: 'node-beta', reason: 'network_timeout', lastSeen: Date.now() - 30000 }); // Automatic rebalancing await this.pubsubManager.publish('cluster.rebalance', { trigger: 'node_failure', failedNode: 'node-beta', redistribution: { 'node-alpha': 0.6, 'node-gamma': 0.4 } }); console.log('Self-healing sequence initiated and completed'); // Demonstrate adaptive optimization console.log('\n2. Adaptive Optimization:'); const performance = this.pinningManager.analyzePerformance(); if (performance.hitRate < 0.8) { console.log('Low hit rate detected, adapting pinning strategy...'); // Auto-adjust pinning factors this.pinningManager.setPinningRule('Post', { strategy: 'popularity', factor: performance.averagePriority + 0.5 // Increase based on current performance }); console.log('Pinning strategy adapted automatically'); } // Demonstrate predictive scaling console.log('\n3. Predictive Scaling:'); const predictions = this.generateLoadPredictions(); console.log(`Predicted load increase: ${predictions.expectedIncrease}%`); console.log(`Recommended action: ${predictions.recommendation}`); if (predictions.expectedIncrease > 50) { console.log('Preemptively scaling resources...'); await this.pubsubManager.publish('cluster.scale', { type: 'predictive', factor: 1.5, reason: 'anticipated_load_increase' }); } console.log('Advanced automation demonstration completed\n'); } private generateLoadPredictions(): any { // Simulate machine learning-based load prediction return { expectedIncrease: Math.random() * 100, confidence: 0.85, timeframe: '2 hours', recommendation: 'scale_up', factors: ['user_growth', 'content_creation_spike', 'viral_post_detected'] }; } } // Usage function export async function runAutomaticFeaturesExamples( orbitDBService: any, ipfsService: any ): Promise { const framework = new SocialPlatformFramework(); try { await framework.initialize(orbitDBService, ipfsService, 'development'); // Initialize automatic features (would be done in framework initialization) const pinningManager = new PinningManager(ipfsService, { maxTotalPins: 1000, maxTotalSize: 50 * 1024 * 1024, // 50MB cleanupIntervalMs: 30000 // 30 seconds for demo }); const pubsubManager = new PubSubManager(ipfsService, { enabled: true, autoPublishModelEvents: true, autoPublishDatabaseEvents: true, topicPrefix: 'debros-demo' }); await pubsubManager.initialize(); // Inject into framework for examples (framework as any).pinningManager = pinningManager; (framework as any).pubsubManager = pubsubManager; // Ensure sample data exists await createSampleDataForAutomaticFeatures(framework); // Run all examples const examples = new AutomaticFeaturesExamples(framework); await examples.runAllExamples(); await examples.demonstrateAdvancedAutomation(); // Show final statistics console.log('๐Ÿ“Š Final System Statistics:'); console.log('=========================='); const pinningStats = pinningManager.getStats(); const pubsubStats = pubsubManager.getStats(); const frameworkStats = await framework.getFrameworkStats(); console.log('\nPinning System:'); console.log(`- Total pinned: ${pinningStats.totalPinned}`); console.log(`- Total size: ${(pinningStats.totalSize / 1024).toFixed(2)} KB`); console.log(`- Active strategies: ${Object.keys(pinningStats.strategies).join(', ')}`); console.log('\nPubSub System:'); console.log(`- Messages published: ${pubsubStats.totalPublished}`); console.log(`- Messages received: ${pubsubStats.totalReceived}`); console.log(`- Active subscriptions: ${pubsubStats.totalSubscriptions}`); console.log(`- Average latency: ${pubsubStats.averageLatency.toFixed(2)}ms`); console.log('\nFramework:'); console.log(`- Models registered: ${frameworkStats.registeredModels.length}`); console.log(`- Cache hit rate: ${(frameworkStats.cache.query.stats.hitRate * 100).toFixed(2)}%`); // Cleanup await pinningManager.shutdown(); await pubsubManager.shutdown(); } catch (error) { console.error('โŒ Automatic features examples failed:', error); } finally { await framework.stop(); } } async function createSampleDataForAutomaticFeatures(framework: SocialPlatformFramework): Promise { console.log('๐Ÿ—„๏ธ Creating sample data for automatic features...\n'); try { // Create users with varied activity patterns const users = []; for (let i = 0; i < 5; i++) { const user = await framework.createUser({ username: `autouser${i}`, email: `autouser${i}@example.com`, bio: `Automatic features test user ${i}` }); users.push(user); } // Create posts with different popularity levels const posts = []; for (let i = 0; i < 15; i++) { const user = users[i % users.length]; const post = await framework.createPost(user.id, { title: `Auto Post ${i}: ${['Popular', 'Normal', 'Unpopular'][i % 3]} Content`, content: `This is test content for automatic features. Post ${i} with length ${100 + i * 50}.`, tags: ['automation', 'testing', i % 2 === 0 ? 'popular' : 'normal'], isPublic: true }); // Simulate different like counts (post as any).likeCount = i < 5 ? 20 + i * 5 : i < 10 ? 5 + i : i % 3; await post.save(); posts.push(post); } // Create comments to establish relationships for (let i = 0; i < 25; i++) { const user = users[i % users.length]; const post = posts[i % posts.length]; await framework.createComment( user.id, post.id, `Auto comment ${i}: This is a test comment for automatic features testing.` ); } console.log(`โœ… Created ${users.length} users, ${posts.length} posts, and 25 comments\n`); } catch (error) { console.warn('โš ๏ธ Some sample data creation failed:', error); } }