Performance Optimization System

Overview

The advanced performance optimization system introduced in WeaveDI v3.2.1 achieves 0% overhead in production environments while providing powerful monitoring capabilities in development environments. It leverages environment flags and conditional compilation to ensure optimal performance.

🚀 Core Optimization Features

• ✅ Conditional Performance Tracking: Complete elimination of Task creation in production
• ✅ Compile-time Optimization: Leverages Swift conditional compilation
• ✅ Intelligent Caching: Automatic optimization of frequently used dependencies
• ✅ Memory Efficiency: Elimination of unnecessary tracking data

Environment-specific Performance Strategies

Production Environment (Release)

// Tracking code is completely removed in production
public static func resolve<T>(_ type: T.Type) -> T? where T: Sendable {
    let resolved = WeaveDI.Container.live.resolve(type)
    // The following code is completely removed by conditional compilation
#if DEBUG && DI_MONITORING_ENABLED
    Task { @DIActor in
        AutoDIOptimizer.shared.trackResolution(type)
    }
#endif
    return resolved
}

Production Characteristics:

• 0% Tracking Overhead: No Task creation
• Minimal Memory Usage: No tracking data storage
• Optimized Resolution Speed: Only pure resolution logic executes

Development Environment (Debug)

// Rich tracking features in development environment
#if DEBUG && DI_MONITORING_ENABLED
// Detailed performance tracking enabled
let stats = await DIAdvanced.Performance.getStats()
print("📊 Dependency Resolution Statistics:")
print("  - Total Resolutions: \(stats["totalResolutions"] ?? 0)")
print("  - Average Resolution Time: \(stats["averageTime"] ?? 0)ms")
print("  - Cache Hit Rate: \(stats["cacheHitRate"] ?? 0)%")
#endif

Development Characteristics:

• Real-time Monitoring: All resolutions tracked
• Performance Analysis: Detailed metrics collection
• Bottleneck Detection: Automatic optimization suggestions

Performance Optimization APIs

DIAdvanced.Performance Class

public enum Performance {
    /// Resolve dependencies with performance tracking
    public static func resolveWithTracking<T>(_ type: T.Type) -> T? where T: Sendable

    /// Mark as frequently used type
    @MainActor
    public static func markAsFrequentlyUsed<T>(_ type: T.Type)

    /// Enable performance optimization
    @MainActor
    public static func enableOptimization()

    /// Return current performance statistics
    @MainActor
    public static func getStats() async -> [String: Int]
}

Real Usage Examples

import WeaveDI

class AppPerformanceManager {
    static func initializePerformanceOptimizations() {
        #if DEBUG && DI_MONITORING_ENABLED
        // Optimization settings executed only in development environment
        Task { @MainActor in
            DIAdvanced.Performance.enableOptimization()

            // Mark core services as frequently used
            DIAdvanced.Performance.markAsFrequentlyUsed(UserService.self)
            DIAdvanced.Performance.markAsFrequentlyUsed(NetworkService.self)
            DIAdvanced.Performance.markAsFrequentlyUsed(CacheService.self)

            print("🎯 Performance optimization activated!")
        }
        #endif
        // Nothing executes in production
    }

    @MainActor
    static func printPerformanceReport() async {
        #if DEBUG && DI_MONITORING_ENABLED
        let stats = await DIAdvanced.Performance.getStats()
        print("📈 Performance Report:")
        for (key, value) in stats {
            print("  \(key): \(value)")
        }
        #endif
    }
}

Automatic Optimization System

AutoDIOptimizer Integration

// Automatic optimization system runs in background
@DIActor
public final class AutoDIOptimizer {
    /// Conditional resolution tracking
    public func trackResolution<T>(_ type: T.Type) {
        #if DEBUG && DI_MONITORING_ENABLED
        // Analyze resolution patterns
        updateResolutionStats(for: type)

        // Identify optimization opportunities
        if shouldOptimize(type) {
            Log.info("🚀 Optimization recommended for \(type) type")
        }
        #endif
    }

    /// Control optimization activation
    public func setOptimizationEnabled(_ enabled: Bool) {
        #if DEBUG && DI_MONITORING_ENABLED
        isOptimizationEnabled = enabled
        Log.info("⚙️ Auto-optimization \(enabled ? "enabled" : "disabled")")
        #endif
    }
}

Performance Benchmarks

Real Performance Measurements

class PerformanceBenchmark {
    static func measureResolutionPerformance() async {
        let iterations = 10000

        // Production performance measurement
        let startTime = CFAbsoluteTimeGetCurrent()
        for _ in 0..<iterations {
            _ = UnifiedDI.resolve(UserService.self)
        }
        let productionTime = CFAbsoluteTimeGetCurrent() - startTime

        print("🏎️ Production Performance:")
        print("  \(iterations) resolutions: \(productionTime * 1000)ms")
        print("  Average resolution time: \((productionTime * 1000) / Double(iterations))ms")

        #if DEBUG && DI_MONITORING_ENABLED
        let stats = await DIAdvanced.Performance.getStats()
        print("📊 Development Environment Additional Info:")
        print("  Tracked resolutions: \(stats["trackedResolutions"] ?? 0)")
        print("  Cache utilization: \(stats["cacheUtilization"] ?? 0)%")
        #endif
    }
}

Performance Comparison Results

Environment	Task Creation	Memory Usage	Resolution Time
Production	0	Minimal	100%
Development (Tracking OFF)	0	Minimal	100%
Development (Tracking ON)	Every call	+15%	+5%

Memory Optimization

Conditional Memory Usage

// Memory-efficient tracking system
#if DEBUG && DI_MONITORING_ENABLED
private var resolutionStats: [String: ResolutionMetrics] = [:]
private var optimizationHints: Set<String> = []
#endif

public func trackResolution<T>(_ type: T.Type) {
    #if DEBUG && DI_MONITORING_ENABLED
    let typeName = String(describing: type)
    resolutionStats[typeName, default: ResolutionMetrics()].increment()
    #endif
    // 0 memory usage in production
}

Memory Usage Patterns

• Production: 0 bytes of tracking data
• Development: ~64 bytes per type (optimized struct)
• Auto Cleanup: Automatic memory release on app termination

Practical Usage Guide

App Startup Configuration

@main
struct MyApp: App {
    init() {
        setupPerformanceOptimizations()
    }

    var body: some Scene {
        WindowGroup {
            ContentView()
        }
    }

    private func setupPerformanceOptimizations() {
        #if DEBUG && DI_MONITORING_ENABLED
        Task { @MainActor in
            DIAdvanced.Performance.enableOptimization()
            print("🔧 Development mode: Performance tracking enabled")
        }
        #else
        print("🚀 Production mode: Optimized performance")
        #endif
    }
}

CI/CD Pipeline Verification

#!/bin/bash
# Performance test script

echo "🧪 Production build performance test..."
swift build -c release

echo "🔍 Verify tracking code removal in release binary..."
if nm MyApp | grep -q "trackResolution"; then
    echo "❌ Tracking code found in release build!"
    exit 1
else
    echo "✅ Tracking code removed from release build"
fi

echo "📊 Running performance benchmark..."
./MyApp --performance-test

Troubleshooting

Q: Need statistics in production?

A: Implement a separate lightweight metrics system or enable DI_MONITORING_ENABLED only in specific builds.

Q: Slow performance in development?

A: Temporarily disable the DI_MONITORING_ENABLED flag to test production-level performance.

Q: Increasing memory usage?

A: Tracking data is stored only in development environment, so production is unaffected. Reset statistics periodically if needed.

Advanced Optimization Techniques

Custom Performance Metrics

extension DIAdvanced.Performance {
    /// Add custom metric
    @MainActor
    public static func addCustomMetric(_ name: String, value: Int) {
        #if DEBUG && DI_MONITORING_ENABLED
        customMetrics[name] = value
        #endif
    }

    /// Log performance event
    public static func logPerformanceEvent(_ event: String) {
        #if DEBUG && DI_MONITORING_ENABLED
        Log.performance("📈 \(event)")
        #endif
    }
}

Related APIs

• AutoDIOptimizer - Automatic optimization engine
• Environment Flags - Compile-time optimization
• UnifiedDI - Unified DI system

---

This optimization system was introduced in WeaveDI v3.2.1. It's an innovative system providing the perfect balance between production performance and development convenience.