# πŸ“Š Performance Audit System **Complete performance monitoring and optimization system for leptos-shadcn-ui components** ## 🎯 Overview The Performance Audit System is a comprehensive tool built with TDD principles to monitor, analyze, and optimize the performance of leptos-shadcn-ui components. It provides real-time monitoring, bundle size analysis, and actionable optimization recommendations. ## ✨ Features ### πŸ“Š Bundle Size Analysis - **Component Size Tracking** - Monitor individual component bundle sizes - **Oversized Component Detection** - Identify components exceeding size thresholds - **Bundle Efficiency Scoring** - Calculate overall bundle efficiency metrics - **Optimization Recommendations** - Get specific suggestions for size reduction ### ⚑ Real-time Performance Monitoring - **Render Time Tracking** - Monitor component render performance - **Memory Usage Monitoring** - Track memory consumption patterns - **Performance Bottleneck Detection** - Identify slow-performing components - **Performance Scoring** - Calculate overall performance metrics ### πŸ—ΊοΈ Optimization Roadmap - **Smart Recommendations** - AI-powered optimization suggestions - **ROI-based Prioritization** - Rank optimizations by impact vs effort - **Implementation Planning** - Generate actionable implementation plans - **Effort Estimation** - Estimate time and resources needed ### πŸ› οΈ CLI Tool - **Multiple Output Formats** - Text, JSON, HTML, Markdown - **Progress Indicators** - Visual feedback during long operations - **Configuration Display** - Show current settings and thresholds - **Professional Error Handling** - Robust error recovery and reporting ## πŸš€ Quick Start ### Installation ```bash # Install the performance audit tool cargo install leptos-shadcn-performance-audit ``` ### Basic Usage ```bash # Run complete performance audit performance-audit audit # Analyze bundle sizes only performance-audit bundle --components-path packages/leptos # Monitor real-time performance performance-audit monitor --duration 30s --sample-rate 100ms # Generate optimization roadmap performance-audit roadmap --output roadmap.json --format json ``` ## πŸ“‹ CLI Commands ### `audit` - Complete Performance Audit Runs a comprehensive performance audit including bundle analysis and performance monitoring. ```bash performance-audit audit [OPTIONS] Options: -c, --components-path Components directory path [default: packages/leptos] --max-component-size-kb Maximum component size in KB [default: 5.0] --max-render-time-ms Maximum render time in milliseconds [default: 16.0] --max-memory-usage-mb Maximum memory usage in MB [default: 1.0] ``` ### `bundle` - Bundle Size Analysis Analyzes component bundle sizes and identifies optimization opportunities. ```bash performance-audit bundle [OPTIONS] Options: -c, --components-path Components directory path [default: packages/leptos] --target-size-kb Target component size in KB [default: 5.0] ``` ### `monitor` - Real-time Performance Monitoring Monitors component performance in real-time. ```bash performance-audit monitor [OPTIONS] Options: -d, --duration Monitoring duration [default: 30s] --sample-rate Sample rate for monitoring [default: 100ms] ``` ### `roadmap` - Optimization Roadmap Generation Generates actionable optimization recommendations. ```bash performance-audit roadmap [OPTIONS] Options: -i, --input Input file path -o, --output Output file path --format Output format [default: text] [possible values: text, json, html, markdown] ``` ## πŸ“Š Output Formats ### Text Format (Default) Human-readable text output with emojis and formatting: ``` πŸ” Running comprehensive performance audit... πŸ“Š Configuration: Max Component Size: 5.0 KB Max Render Time: 16.0 ms Max Memory Usage: 1.0 MB Output Format: Text ⏳ Analyzing components... βœ… Analysis complete! πŸ“Š Performance Audit Results Overall Score: 64.0/100 (D) Meets Targets: ❌ No πŸ“¦ Bundle Analysis: Overall Efficiency: 44.6% Total Size: 23.0 KB Average Component Size: 4.6 KB ⚑ Performance Monitoring: Overall Score: 83.3% Failing Components: 2 πŸ—ΊοΈ Optimization Roadmap: Total Recommendations: 6 Estimated Effort: 40.0 hours Expected Impact: 470.0% ``` ### JSON Format Structured JSON output for programmatic processing: ```json { "overall_score": 64.0, "meets_targets": false, "bundle_analysis": { "overall_efficiency_score": 44.6, "total_bundle_size_bytes": 23552, "total_bundle_size_kb": 23.0, "average_component_size_kb": 4.6 }, "performance_monitoring": { "overall_performance_score": 83.3, "failing_components": 2 }, "optimization_roadmap": { "total_recommendations": 6, "estimated_effort_hours": 40.0, "expected_impact_percent": 470.0 } } ``` ### HTML Format Rich HTML output for web display and reporting. ### Markdown Format Markdown output for documentation and GitHub integration. ## πŸ§ͺ Testing The performance audit system includes comprehensive testing: ```bash # Run all performance audit tests (53 tests) cargo test -p leptos-shadcn-performance-audit # Run specific test suites cargo test -p leptos-shadcn-performance-audit --lib cargo test -p leptos-shadcn-performance-audit --test performance_audit_tests # Test CLI tool cargo run -p leptos-shadcn-performance-audit --bin performance-audit -- --help ``` ### Test Coverage - **44 Unit Tests** - Individual module testing - **8 Integration Tests** - End-to-end workflow testing - **1 Documentation Test** - Example code validation - **100% Pass Rate** - All tests passing ## πŸ—οΈ Architecture ### Core Modules #### `bundle_analysis` - Component bundle size analysis - Oversized component detection - Bundle efficiency calculations - Optimization recommendations #### `performance_monitoring` - Real-time performance metrics collection - Render time and memory usage tracking - Performance bottleneck detection - Component performance scoring #### `optimization_roadmap` - Smart recommendation generation - ROI-based prioritization - Implementation planning - Effort estimation #### `benchmarks` - Performance regression testing - Benchmark comparison - Performance trend analysis - Automated performance validation ### Data Structures #### `ComponentBundleAnalysis` ```rust pub struct ComponentBundleAnalysis { pub component_name: String, pub bundle_size_bytes: u64, pub bundle_size_kb: f64, pub is_oversized: bool, pub performance_score: f64, pub optimization_recommendations: Vec, } ``` #### `ComponentPerformanceMetrics` ```rust pub struct ComponentPerformanceMetrics { pub component_name: String, pub render_times: Vec, pub memory_usage: Vec, pub performance_score: f64, pub meets_targets: bool, } ``` #### `OptimizationRecommendation` ```rust pub struct OptimizationRecommendation { pub title: String, pub description: String, pub category: OptimizationCategory, pub priority: OptimizationPriority, pub estimated_effort_hours: f64, pub expected_impact_percent: f64, pub roi_score: f64, } ``` ## πŸ”§ Configuration ### Performance Targets Default performance targets can be customized: ```rust pub struct PerformanceConfig { pub max_component_size_kb: f64, // Default: 5.0 KB pub max_render_time_ms: f64, // Default: 16.0 ms pub max_memory_usage_mb: f64, // Default: 1.0 MB pub monitoring_enabled: bool, // Default: true } ``` ### Custom Configuration ```bash # Custom performance targets performance-audit audit \ --max-component-size-kb 3.0 \ --max-render-time-ms 12.0 \ --max-memory-usage-mb 0.8 ``` ## πŸ“ˆ Use Cases ### Development - **Performance Monitoring** - Track component performance during development - **Bundle Size Optimization** - Identify and fix oversized components - **Performance Regression Detection** - Catch performance issues early - **Optimization Planning** - Plan performance improvement sprints ### Production - **Performance Baseline** - Establish performance benchmarks - **Monitoring Dashboards** - Generate performance reports - **Optimization Tracking** - Measure optimization impact - **Performance Auditing** - Regular performance health checks ### CI/CD Integration - **Automated Performance Testing** - Include in CI/CD pipelines - **Performance Gates** - Block deployments on performance regressions - **Performance Reporting** - Generate automated performance reports - **Optimization Validation** - Verify optimization effectiveness ## 🎯 Best Practices ### Performance Monitoring 1. **Regular Audits** - Run performance audits regularly 2. **Baseline Establishment** - Set performance baselines early 3. **Threshold Management** - Adjust thresholds based on requirements 4. **Trend Analysis** - Monitor performance trends over time ### Bundle Optimization 1. **Size Monitoring** - Track component sizes continuously 2. **Dependency Analysis** - Analyze and optimize dependencies 3. **Code Splitting** - Implement effective code splitting 4. **Tree Shaking** - Ensure proper tree shaking ### Optimization Planning 1. **ROI Focus** - Prioritize high-impact, low-effort optimizations 2. **Incremental Improvements** - Make small, measurable improvements 3. **Performance Budgets** - Set and enforce performance budgets 4. **Continuous Monitoring** - Monitor optimization effectiveness ## πŸš€ Future Enhancements ### Planned Features - **Real Bundle Analysis** - Analyze actual build artifacts - **Build System Integration** - Integrate with build systems - **Performance Regression Detection** - Automated regression detection - **Performance Dashboards** - Web-based performance dashboards ### Community Contributions - **Custom Optimizers** - Plugin system for custom optimizations - **Performance Plugins** - Extensible performance monitoring - **CI/CD Integration** - Enhanced CI/CD pipeline integration - **Performance Metrics** - Additional performance metrics ## πŸ“š API Reference ### Core Functions #### `run_performance_audit` ```rust pub async fn run_performance_audit( config: PerformanceConfig ) -> Result ``` #### `BundleAnalyzer` ```rust pub struct BundleAnalyzer { pub components_path: PathBuf, } impl BundleAnalyzer { pub async fn analyze_all_components(&self) -> BundleAnalysisResults; pub async fn analyze_component(&self, name: &str) -> ComponentBundleAnalysis; } ``` #### `PerformanceMonitor` ```rust pub struct PerformanceMonitor { pub config: PerformanceConfig, pub start_time: Option, pub tracked_components: BTreeMap, } impl PerformanceMonitor { pub fn start_monitoring(&mut self); pub fn stop_monitoring(&mut self) -> PerformanceMonitoringResults; pub fn record_render_time(&mut self, component: &str, duration: Duration); } ``` ## 🀝 Contributing We welcome contributions to the performance audit system! Please see our [Contributing Guide](../../CONTRIBUTING.md) for details. ### Development Setup ```bash # Clone the repository git clone https://github.com/cloud-shuttle/leptos-shadcn-ui.git cd leptos-shadcn-ui # Test the performance audit system cargo test -p leptos-shadcn-performance-audit # Run the CLI tool cargo run -p leptos-shadcn-performance-audit --bin performance-audit -- --help ``` ## πŸ“„ License This project is licensed under the MIT License - see the [LICENSE](../../LICENSE) file for details. ## πŸ“š Additional Resources - **[Quick Start Guide](QUICK_START.md)** - Get started in 5 minutes - **[API Reference](API.md)** - Complete programmatic API documentation - **[Examples](../../examples/)** - Working code examples --- **🎯 Monitor, Optimize, and Scale your Leptos applications with the Performance Audit System!**