# Frontend Performance Optimization Guide This guide documents all performance optimizations implemented in the Telegram Marketing Agent frontend. ## Overview The frontend has been optimized for performance across multiple dimensions: - Initial load time - Runtime performance - Memory usage - Network efficiency - User experience ## Build Optimizations ### 1. Code Splitting - Automatic vendor chunks for better caching - Manual chunks for large libraries (Element Plus, Chart.js) - Route-based code splitting with lazy loading ### 2. Compression - Gzip compression for all assets > 10KB - Brotli compression for better compression ratios - Image optimization with quality settings ### 3. Asset Optimization - Proper asset naming for cache busting - Inline small assets (< 4KB) - Organized asset directories ## Runtime Optimizations ### 1. Lazy Loading - **Images**: Intersection Observer-based lazy loading - **Components**: Dynamic imports with loading/error states - **Routes**: Lazy-loaded route components ```vue
``` ### 2. Virtual Scrolling For large lists, use the VirtualList component: ```vue
{{ item.name }}
``` ### 3. Web Workers Heavy computations are offloaded to web workers: ```javascript import { useComputationWorker } from '@/composables/useWebWorker' const { sort, filter, aggregate, loading, result } = useComputationWorker() // Sort large dataset await sort(largeArray) // Filter data await filter(items, 'status', 'active') ``` ### 4. Debouncing & Throttling ```javascript import { debounce, throttle } from '@/utils/performance' // Debounce search input const search = debounce((query) => { // Search logic }, 300) // Throttle scroll handler const handleScroll = throttle(() => { // Scroll logic }, 100) ``` ## State Management ### 1. Persisted State Store state is automatically persisted with debouncing: ```javascript // In store configuration export const useUserStore = defineStore('user', { persist: { paths: ['profile', 'preferences'], debounceTime: 1000 } }) ``` ### 2. Memory Management - WeakMap for object references - Automatic cleanup on component unmount - Memory leak detection in development ## Network Optimizations ### 1. Service Worker - Offline support with cache strategies - Background sync for failed requests - Push notifications support ### 2. API Caching - Cache-first for static data - Network-first with cache fallback for dynamic data - Stale-while-revalidate for frequently updated data ### 3. Request Optimization - Request batching for multiple API calls - Request deduplication - Automatic retry with exponential backoff ## Monitoring & Analytics ### 1. Performance Metrics The app automatically tracks: - First Contentful Paint (FCP) - Largest Contentful Paint (LCP) - First Input Delay (FID) - Cumulative Layout Shift (CLS) - Time to Interactive (TTI) ### 2. Error Tracking - Global error handler - Source maps for production debugging - User context in error reports ### 3. User Analytics - Page view tracking - User interaction events - Performance impact analysis ## Best Practices ### 1. Component Development - Use `shallowRef` for large objects - Implement `v-memo` for expensive renders - Use `computed` instead of methods for derived state ### 2. Event Handling - Use passive event listeners - Delegate events when possible - Clean up listeners on unmount ### 3. Asset Loading - Preload critical resources - Use resource hints (prefetch, preconnect) - Implement responsive images ### 4. Bundle Size - Tree-shake unused code - Use dynamic imports for optional features - Monitor bundle size with visualizer ## Development Tools ### 1. Performance Profiling ```bash # Generate bundle analysis npm run build -- --report # Profile runtime performance window.__PERFORMANCE__.getMetrics() ``` ### 2. Lighthouse CI Run Lighthouse in CI to track performance over time: ```bash npm run lighthouse ``` ### 3. Memory Profiling Use Chrome DevTools Memory Profiler to identify leaks. ## Configuration Files ### vite.config.optimized.js Contains all build optimizations including: - Code splitting configuration - Compression plugins - Asset optimization - Performance hints ### Performance Budget Target metrics: - FCP: < 1.8s - LCP: < 2.5s - TTI: < 3.8s - Bundle size: < 500KB (initial) ## Checklist Before deploying, ensure: - [ ] Images are optimized and lazy-loaded - [ ] Large lists use virtual scrolling - [ ] Heavy computations use web workers - [ ] API calls are cached appropriately - [ ] Service worker is registered (production) - [ ] Performance metrics are within budget - [ ] No memory leaks detected - [ ] Bundle size is optimized ## Troubleshooting ### High Memory Usage 1. Check for detached DOM nodes 2. Review event listener cleanup 3. Verify store subscription cleanup ### Slow Initial Load 1. Review bundle splitting 2. Check for blocking resources 3. Verify compression is working ### Poor Runtime Performance 1. Profile with Chrome DevTools 2. Check for unnecessary re-renders 3. Review computed property usage ## Future Optimizations 1. **HTTP/3 Support**: When available 2. **Module Federation**: For micro-frontends 3. **Edge Computing**: For global performance 4. **AI-Powered Prefetching**: Predictive resource loading