leptos-shadcn-ui/docs/architecture/performance

📊 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

📊 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

🗺️ 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

🛠️ 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

🚀 Quick Start

Installation

# Install the performance audit tool
cargo install leptos-shadcn-performance-audit

Basic Usage

# 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

📋 CLI Commands

audit - Complete Performance Audit

Runs a comprehensive performance audit including bundle analysis and performance monitoring.

performance-audit audit [OPTIONS]

Options:
  -c, --components-path <COMPONENTS_PATH>
          Components directory path [default: packages/leptos]
      --max-component-size-kb <MAX_COMPONENT_SIZE_KB>
          Maximum component size in KB [default: 5.0]
      --max-render-time-ms <MAX_RENDER_TIME_MS>
          Maximum render time in milliseconds [default: 16.0]
      --max-memory-usage-mb <MAX_MEMORY_USAGE_MB>
          Maximum memory usage in MB [default: 1.0]

bundle - Bundle Size Analysis

Analyzes component bundle sizes and identifies optimization opportunities.

performance-audit bundle [OPTIONS]

Options:
  -c, --components-path <COMPONENTS_PATH>
          Components directory path [default: packages/leptos]
      --target-size-kb <TARGET_SIZE_KB>
          Target component size in KB [default: 5.0]

monitor - Real-time Performance Monitoring

Monitors component performance in real-time.

performance-audit monitor [OPTIONS]

Options:
  -d, --duration <DURATION>
          Monitoring duration [default: 30s]
      --sample-rate <SAMPLE_RATE>
          Sample rate for monitoring [default: 100ms]

roadmap - Optimization Roadmap Generation

Generates actionable optimization recommendations.

performance-audit roadmap [OPTIONS]

Options:
  -i, --input <INPUT>
          Input file path
  -o, --output <OUTPUT>
          Output file path
      --format <FORMAT>
          Output format [default: text] [possible values: text, json, html, markdown]

📊 Output Formats

Text Format (Default)

Human-readable text output with emojis and formatting:

🔍 Running comprehensive performance audit...
📊 Configuration:
   Max Component Size: 5.0 KB
   Max Render Time: 16.0 ms
   Max Memory Usage: 1.0 MB
   Output Format: Text

⏳ Analyzing components...
✅ Analysis complete!

📊 Performance Audit Results
Overall Score: 64.0/100 (D)
Meets Targets: ❌ No

📦 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

🗺️ Optimization Roadmap:
  Total Recommendations: 6
  Estimated Effort: 40.0 hours
  Expected Impact: 470.0%

JSON Format

Structured JSON output for programmatic processing:

{
  "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.

🧪 Testing

The performance audit system includes comprehensive testing:

# 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

🏗️ 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

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<String>,
}

ComponentPerformanceMetrics

pub struct ComponentPerformanceMetrics {
    pub component_name: String,
    pub render_times: Vec<Duration>,
    pub memory_usage: Vec<u64>,
    pub performance_score: f64,
    pub meets_targets: bool,
}

OptimizationRecommendation

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,
}

🔧 Configuration

Performance Targets

Default performance targets can be customized:

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

# Custom performance targets
performance-audit audit \
  --max-component-size-kb 3.0 \
  --max-render-time-ms 12.0 \
  --max-memory-usage-mb 0.8

📈 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

🚀 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

📚 API Reference

Core Functions

run_performance_audit

pub async fn run_performance_audit(
    config: PerformanceConfig
) -> Result<PerformanceResults, PerformanceAuditError>

BundleAnalyzer

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

pub struct PerformanceMonitor {
    pub config: PerformanceConfig,
    pub start_time: Option<Instant>,
    pub tracked_components: BTreeMap<String, ComponentPerformanceMetrics>,
}

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 for details.

Development Setup

# 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

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📚 Additional Resources

• Quick Start Guide - Get started in 5 minutes
• API Reference - Complete programmatic API documentation
• Examples - Working code examples

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🎯 Monitor, Optimize, and Scale your Leptos applications with the Performance Audit System!