Initial commit: Telegram Management System
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Full-stack web application for Telegram management - Frontend: Vue 3 + Vben Admin - Backend: NestJS - Features: User management, group broadcast, statistics 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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marketing-agent/frontend/PERFORMANCE_OPTIMIZATION.md
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marketing-agent/frontend/PERFORMANCE_OPTIMIZATION.md
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# Frontend Performance Optimization Guide
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This guide documents all performance optimizations implemented in the Telegram Marketing Agent frontend.
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## Overview
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The frontend has been optimized for performance across multiple dimensions:
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- Initial load time
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- Runtime performance
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- Memory usage
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- Network efficiency
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- User experience
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## Build Optimizations
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### 1. Code Splitting
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- Automatic vendor chunks for better caching
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- Manual chunks for large libraries (Element Plus, Chart.js)
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- Route-based code splitting with lazy loading
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### 2. Compression
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- Gzip compression for all assets > 10KB
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- Brotli compression for better compression ratios
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- Image optimization with quality settings
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### 3. Asset Optimization
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- Proper asset naming for cache busting
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- Inline small assets (< 4KB)
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- Organized asset directories
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## Runtime Optimizations
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### 1. Lazy Loading
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- **Images**: Intersection Observer-based lazy loading
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- **Components**: Dynamic imports with loading/error states
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- **Routes**: Lazy-loaded route components
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```vue
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<!-- Image lazy loading -->
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<img v-lazy="imageSrc" :alt="imageAlt">
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<!-- Background lazy loading -->
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<div v-lazy-bg="backgroundUrl"></div>
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<!-- Progressive image loading -->
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<img v-progressive="{ lowQuality: thumbUrl, highQuality: fullUrl }">
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```
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### 2. Virtual Scrolling
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For large lists, use the VirtualList component:
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```vue
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<VirtualList
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:items="items"
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:item-height="50"
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v-slot="{ item }"
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>
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<div>{{ item.name }}</div>
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</VirtualList>
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```
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### 3. Web Workers
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Heavy computations are offloaded to web workers:
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```javascript
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import { useComputationWorker } from '@/composables/useWebWorker'
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const { sort, filter, aggregate, loading, result } = useComputationWorker()
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// Sort large dataset
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await sort(largeArray)
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// Filter data
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await filter(items, 'status', 'active')
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```
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### 4. Debouncing & Throttling
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```javascript
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import { debounce, throttle } from '@/utils/performance'
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// Debounce search input
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const search = debounce((query) => {
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// Search logic
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}, 300)
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// Throttle scroll handler
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const handleScroll = throttle(() => {
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// Scroll logic
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}, 100)
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```
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## State Management
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### 1. Persisted State
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Store state is automatically persisted with debouncing:
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```javascript
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// In store configuration
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export const useUserStore = defineStore('user', {
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persist: {
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paths: ['profile', 'preferences'],
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debounceTime: 1000
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}
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})
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```
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### 2. Memory Management
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- WeakMap for object references
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- Automatic cleanup on component unmount
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- Memory leak detection in development
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## Network Optimizations
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### 1. Service Worker
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- Offline support with cache strategies
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- Background sync for failed requests
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- Push notifications support
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### 2. API Caching
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- Cache-first for static data
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- Network-first with cache fallback for dynamic data
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- Stale-while-revalidate for frequently updated data
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### 3. Request Optimization
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- Request batching for multiple API calls
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- Request deduplication
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- Automatic retry with exponential backoff
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## Monitoring & Analytics
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### 1. Performance Metrics
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The app automatically tracks:
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- First Contentful Paint (FCP)
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- Largest Contentful Paint (LCP)
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- First Input Delay (FID)
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- Cumulative Layout Shift (CLS)
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- Time to Interactive (TTI)
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### 2. Error Tracking
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- Global error handler
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- Source maps for production debugging
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- User context in error reports
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### 3. User Analytics
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- Page view tracking
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- User interaction events
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- Performance impact analysis
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## Best Practices
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### 1. Component Development
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- Use `shallowRef` for large objects
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- Implement `v-memo` for expensive renders
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- Use `computed` instead of methods for derived state
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### 2. Event Handling
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- Use passive event listeners
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- Delegate events when possible
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- Clean up listeners on unmount
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### 3. Asset Loading
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- Preload critical resources
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- Use resource hints (prefetch, preconnect)
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- Implement responsive images
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### 4. Bundle Size
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- Tree-shake unused code
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- Use dynamic imports for optional features
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- Monitor bundle size with visualizer
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## Development Tools
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### 1. Performance Profiling
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```bash
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# Generate bundle analysis
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npm run build -- --report
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# Profile runtime performance
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window.__PERFORMANCE__.getMetrics()
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```
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### 2. Lighthouse CI
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Run Lighthouse in CI to track performance over time:
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```bash
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npm run lighthouse
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```
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### 3. Memory Profiling
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Use Chrome DevTools Memory Profiler to identify leaks.
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## Configuration Files
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### vite.config.optimized.js
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Contains all build optimizations including:
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- Code splitting configuration
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- Compression plugins
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- Asset optimization
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- Performance hints
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### Performance Budget
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Target metrics:
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- FCP: < 1.8s
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- LCP: < 2.5s
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- TTI: < 3.8s
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- Bundle size: < 500KB (initial)
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## Checklist
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Before deploying, ensure:
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- [ ] Images are optimized and lazy-loaded
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- [ ] Large lists use virtual scrolling
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- [ ] Heavy computations use web workers
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- [ ] API calls are cached appropriately
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- [ ] Service worker is registered (production)
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- [ ] Performance metrics are within budget
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- [ ] No memory leaks detected
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- [ ] Bundle size is optimized
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## Troubleshooting
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### High Memory Usage
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1. Check for detached DOM nodes
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2. Review event listener cleanup
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3. Verify store subscription cleanup
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### Slow Initial Load
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1. Review bundle splitting
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2. Check for blocking resources
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3. Verify compression is working
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### Poor Runtime Performance
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1. Profile with Chrome DevTools
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2. Check for unnecessary re-renders
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3. Review computed property usage
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## Future Optimizations
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1. **HTTP/3 Support**: When available
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2. **Module Federation**: For micro-frontends
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3. **Edge Computing**: For global performance
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4. **AI-Powered Prefetching**: Predictive resource loading
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