//! Enhanced Memory Metrics System Example
//!
//! This example demonstrates the comprehensive memory monitoring, analysis,
//! and profiling capabilities of the enhanced memory metrics system.

#[cfg(not(feature = "memory_management"))]
#[allow(dead_code)]
fn main() {
    println!("This example requires the 'memory_management' feature to be enabled.");
    println!("Run with: cargo run --example enhanced_memory_metrics_example --features memory_management");
}

#[cfg(feature = "memory_management")]
use chrono::Utc;
#[cfg(feature = "memory_management")]
use scirs2_core::memory::metrics::{
    LeakDetectionConfig, MemoryAnalytics, MemoryEvent, MemoryEventType, MemoryProfiler,
    MemoryProfilerConfig, RiskAssessment,
};
#[cfg(feature = "memory_management")]
use std::thread;
#[cfg(feature = "memory_management")]
use std::time::{Duration, Instant};

#[cfg(feature = "memory_management")]
#[allow(dead_code)]
fn main() -> Result<(), Box<dyn std::error::Error>> {
    println!("=== Enhanced Memory Metrics System Demonstration ===");

    // Demo 1: Basic Memory Analytics
    demo_memory_analytics()?;

    // Demo 2: Memory Leak Detection
    demo_leak_detection()?;

    // Demo 3: Memory Profiler with Real-time Monitoring
    demo_memory_profiler()?;

    // Demo 4: Pattern Analysis and Optimization Recommendations
    demo_pattern_analysis()?;

    // Demo 5: Performance Impact Analysis
    demo_performance_analysis()?;

    println!("\n=== Enhanced Memory Metrics Demo Complete ===");
    Ok(())
}

/// Demonstrate basic memory analytics capabilities
#[cfg(feature = "memory_management")]
#[allow(dead_code)]
fn demo_memory_analytics() -> Result<(), Box<dyn std::error::Error>> {
    println!("\n1. Basic Memory Analytics");
    println!("=========================");

    let mut analytics = MemoryAnalytics::new(LeakDetectionConfig::default());

    // Simulate memory allocation patterns
    let components = ["DataProcessor", "NetworkClient", "Cache"];
    let mut addresses = [0x1000, 0x2000, 0x3000];

    println!("Simulating memory allocation patterns...");

    for i in 0..50 {
        for (idx, component) in components.iter().enumerate() {
            let size = 1024 + (i * 100) + (idx * 512);
            let address = addresses[idx];

            // Record allocation
            let event = MemoryEvent::new(MemoryEventType::Allocation, *component, size, address);
            analytics.record_event(event);

            // Update address for next allocation
            addresses[idx] += size;

            // Occasionally deallocate some memory
            if i % 10 == 0 && i > 0 {
                let dealloc_size = size / 2;
                let dealloc_event = MemoryEvent::new(
                    MemoryEventType::Deallocation,
                    *component,
                    dealloc_size,
                    address,
                );
                analytics.record_event(dealloc_event);
            }
        }

        // Small delay to simulate time passing
        thread::sleep(Duration::from_millis(10));
    }

    // Analyze patterns for each component
    for component in &components {
        if let Some(analysis) = analytics.analyze_patterns(component) {
            println!("\nAnalysis for {}:", component);
            println!("  Patterns detected: {}", analysis.patterns.len());
            println!(
                "  Allocation frequency: {:.2}/sec",
                analysis.efficiency.allocation_frequency
            );
            println!(
                "  Memory reuse ratio: {:.2}",
                analysis.efficiency.reuse_ratio
            );
            println!(
                "  Fragmentation estimate: {:.2}",
                analysis.efficiency.fragmentation_estimate
            );
            println!("  Issues found: {}", analysis.potential_issues.len());
            println!("  Recommendations: {}", analysis.recommendations.len());

            // Show specific recommendations
            for (i, recommendation) in analysis.recommendations.iter().enumerate() {
                match recommendation {
                    scirs2_core::memory::metrics::OptimizationRecommendation::UseBufferPooling { expected_savings, .. } => {
                        println!("    {}. Use buffer pooling (saves ~{} bytes)", i + 1, expected_savings);
                    }
                    scirs2_core::memory::metrics::OptimizationRecommendation::BatchAllocations { suggested_batch_size, .. } => {
                        println!("    {}. Batch allocations (batch size: {})", i + 1, suggested_batch_size);
                    }
                    scirs2_core::memory::metrics::OptimizationRecommendation::PreAllocateMemory { suggested_size, .. } => {
                        println!("    {}. Pre-allocate {} bytes", i + 1, suggested_size);
                    }
                    _ => {
                        println!("    {}. Other optimization available", i + 1);
                    }
                }
            }
        }
    }

    Ok(())
}

/// Demonstrate memory leak detection
#[cfg(feature = "memory_management")]
#[allow(dead_code)]
fn demo_leak_detection() -> Result<(), Box<dyn std::error::Error>> {
    println!("\n2. Memory Leak Detection");
    println!("========================");

    let mut analytics = MemoryAnalytics::new(LeakDetectionConfig {
        leak_threshold_bytes: 1024, // Lower threshold for demo
        leak_threshold_duration: Duration::from_secs(1),
        growth_rate_threshold: 500.0, // 500 bytes/sec
        ..Default::default()
    });

    // Simulate a component with a memory leak
    println!("Simulating memory leak in 'LeakyComponent'...");

    let mut address = 0x10000;
    for i in 0..30 {
        let size = 1000 + (i * 50); // Growing allocation size

        let event = MemoryEvent::new(MemoryEventType::Allocation, "LeakyComponent", size, address);
        analytics.record_event(event);

        address += size;
        thread::sleep(Duration::from_millis(100));
    }

    // Also simulate a healthy component for comparison
    println!("Simulating healthy component 'HealthyComponent'...");

    let mut healthy_address = 0x20000;
    for i in 0..30 {
        let size = 1000; // Constant allocation size

        // Allocate
        let alloc_event = MemoryEvent::new(
            MemoryEventType::Allocation,
            "HealthyComponent",
            size,
            healthy_address,
        );
        analytics.record_event(alloc_event);

        // Deallocate after a few iterations
        if i > 5 {
            let dealloc_event = MemoryEvent::new(
                MemoryEventType::Deallocation,
                "HealthyComponent",
                size,
                healthy_address - (5 * size),
            );
            analytics.record_event(dealloc_event);
        }

        healthy_address += size;
        thread::sleep(Duration::from_millis(100));
    }

    // Perform leak detection
    let leak_results = analytics.get_leak_detection_results();

    println!("\nLeak Detection Results:");
    for result in leak_results {
        println!("\nComponent: {}", result.component);
        println!("  Leak detected: {}", result.leak_detected);
        println!("  Growth rate: {:.2} bytes/sec", result.growth_rate);
        println!("  Confidence: {:.2}", result.confidence);
        println!("  Current usage: {} bytes", result.current_usage);

        if result.leak_detected {
            println!("  🚨 LEAK ALERT! 🚨");
            println!(
                "  Projected usage in 1 hour: {} bytes",
                result.projected_usage_1h
            );
            println!(
                "  Projected usage in 24 hours: {} bytes",
                result.projected_usage_24h
            );
        } else {
            println!("  ✅ No leak detected");
        }
    }

    Ok(())
}

/// Demonstrate memory profiler with real-time monitoring
#[cfg(feature = "memory_management")]
#[allow(dead_code)]
fn demo_memory_profiler() -> Result<(), Box<dyn std::error::Error>> {
    println!("\n3. Memory Profiler with Real-time Monitoring");
    println!("===========================================");

    let config = MemoryProfilerConfig {
        enabled: true,
        profiling_interval: Duration::from_secs(2),
        auto_leak_detection: true,
        auto_recommendations: true,
        save_to_file: false,
        ..Default::default()
    };

    let profiler = MemoryProfiler::new(config);

    // Start profiling session
    let sessionid =
        profiler.start_session(Some(format!("demo_session_{}", Utc::now().timestamp())));
    println!("Started profiling session: {}", sessionid);

    // Simulate various memory operations
    println!("Simulating memory operations...");

    let components = ["WebServer", "Database", "Cache", "Logger"];
    let mut addresses: Vec<usize> = (0..components.len())
        .map(|i| 0x10000 + (i * 0x10000))
        .collect();

    for iteration in 0..20 {
        for (idx, component) in components.iter().enumerate() {
            // Different allocation patterns for each component
            let size = match *component {
                "WebServer" => 2048 + (iteration * 100), // Growing
                "Database" => 8192,                      // Constant
                "Cache" => {
                    if iteration % 3 == 0 {
                        16384
                    } else {
                        0
                    }
                } // Periodic
                "Logger" => 512 + (iteration * iteration * 10), // Accelerating
                _ => 1024,
            };

            if size > 0 {
                let event = MemoryEvent::new(
                    MemoryEventType::Allocation,
                    *component,
                    size,
                    addresses[idx],
                );
                profiler.record_event(event);
                addresses[idx] += size;
            }

            // Occasional deallocations
            if iteration % 5 == 0 && iteration > 0 {
                let dealloc_size = size / 2;
                if dealloc_size > 0 {
                    let dealloc_event = MemoryEvent::new(
                        MemoryEventType::Deallocation,
                        *component,
                        dealloc_size,
                        addresses[idx] - size,
                    );
                    profiler.record_event(dealloc_event);
                }
            }
        }

        // Check health status periodically
        if iteration % 5 == 0 {
            let health = profiler.health_check();
            println!(
                "Health check at iteration {}: Score {:.2}",
                iteration, health.health_score
            );

            match health.risk_assessment {
                RiskAssessment::Low => println!("  Status: 🟢 Low risk"),
                RiskAssessment::Medium { ref issues } => {
                    println!("  Status: 🟡 Medium risk ({} issues)", issues.len());
                }
                RiskAssessment::High {
                    ref critical_issues,
                } => {
                    println!(
                        "  Status: 🔴 High risk ({} critical issues)",
                        critical_issues.len()
                    );
                }
            }
        }

        thread::sleep(Duration::from_millis(200));
    }

    // End profiling session and get results
    println!("\nEnding profiling session...");
    if let Some(result) = profiler.end_session() {
        println!("\nProfiling Results:");
        println!("==================");
        println!("Session ID: {}", result.session.id);
        println!("Duration: {} micros", result.session.duration_micros);
        println!("Events recorded: {}", result.session.event_count);
        println!("Components tracked: {}", result.session.component_count);
        println!(
            "Peak memory usage: {} bytes ({:.2} MB)",
            result.session.peak_memory_usage,
            result.session.peak_memory_usage as f64 / (1024.0 * 1024.0)
        );
        println!("Leaks detected: {}", result.session.leaks_detected);

        println!("\nPerformance Impact:");
        println!(
            "  Total allocation time: {:?}",
            result.performance_impact.total_allocation_time
        );
        println!(
            "  Performance bottlenecks: {}",
            result.performance_impact.performance_bottlenecks
        );
        println!(
            "  Memory bandwidth utilization: {:.2}%",
            result.performance_impact.memorybandwidth_utilization * 100.0
        );

        println!("\nSummary:");
        println!("  Health score: {:.2}/1.0", result.summary.health_score);
        println!("  Key insights: {}", result.summary.key_insights.len());
        for insight in &result.summary.key_insights {
            println!("    • {}", insight);
        }

        println!(
            "  Priority recommendations: {}",
            result.summary.priority_recommendations.len()
        );
        for recommendation in &result.summary.priority_recommendations {
            println!("    • {}", recommendation);
        }
    }

    Ok(())
}

/// Demonstrate pattern analysis and optimization recommendations
#[cfg(feature = "memory_management")]
#[allow(dead_code)]
fn demo_pattern_analysis() -> Result<(), Box<dyn std::error::Error>> {
    println!("\n4. Pattern Analysis and Optimization Recommendations");
    println!("===================================================");

    let mut analytics = MemoryAnalytics::new(LeakDetectionConfig::default());

    // Simulate different allocation patterns
    println!("Simulating various allocation patterns...");

    // Pattern 1: Burst allocations (e.g., batch processing)
    println!("  Simulating burst allocation pattern...");
    for burst in 0..3 {
        // Burst phase
        for i in 0..10 {
            let size = 16384; // 16KB allocations
            let event = MemoryEvent::new(
                MemoryEventType::Allocation,
                "BatchProcessor",
                size,
                0x100000 + (burst * 200000) + (i * size),
            );
            analytics.record_event(event);
            thread::sleep(Duration::from_millis(20));
        }

        // Quiet phase
        thread::sleep(Duration::from_millis(500));

        // Deallocate some memory
        for i in 0..5 {
            let event = MemoryEvent::new(
                MemoryEventType::Deallocation,
                "BatchProcessor",
                16384,
                0x100000 + (burst * 200000) + (i * 16384),
            );
            analytics.record_event(event);
            thread::sleep(Duration::from_millis(10));
        }
    }

    // Pattern 2: Periodic cycles (e.g., garbage collection)
    println!("  Simulating periodic allocation cycles...");
    for cycle in 0..5 {
        // Growth phase
        for i in 0..8 {
            let size = 4096 + (i * 512);
            let event = MemoryEvent::new(
                MemoryEventType::Allocation,
                "ManagedHeap",
                size,
                0x200000 + (cycle * 100000) + (i * size),
            );
            analytics.record_event(event);
            thread::sleep(Duration::from_millis(50));
        }

        // Collection phase (deallocate most memory)
        for i in 0..6 {
            let size = 4096 + (i * 512);
            let event = MemoryEvent::new(
                MemoryEventType::Deallocation,
                "ManagedHeap",
                size,
                0x200000 + (cycle * 100000) + (i * size),
            );
            analytics.record_event(event);
            thread::sleep(Duration::from_millis(25));
        }
    }

    // Pattern 3: Steady growth (potential leak)
    println!("  Simulating steady growth pattern...");
    for i in 0..30 {
        let size = 2048 + (i * 64); // Steadily increasing
        let event = MemoryEvent::new(
            MemoryEventType::Allocation,
            "GrowingCache",
            size,
            0x300000 + (i * size),
        );
        analytics.record_event(event);
        thread::sleep(Duration::from_millis(100));
    }

    // Analyze patterns
    let components = ["BatchProcessor", "ManagedHeap", "GrowingCache"];

    for component in &components {
        if let Some(analysis) = analytics.analyze_patterns(component) {
            println!("\n📊 Pattern Analysis for {}:", component);
            println!("   Detected Patterns:");

            for (i, pattern) in analysis.patterns.iter().enumerate() {
                match pattern {
                    scirs2_core::memory::metrics::AllocationPattern::SteadyGrowth {
                        rate,
                        confidence,
                    } => {
                        println!(
                            "     {}. Steady Growth: {:.2} bytes/sec (confidence: {:.2})",
                            i + 1,
                            rate,
                            confidence
                        );
                    }
                    scirs2_core::memory::metrics::AllocationPattern::PeriodicCycle {
                        cycle_duration,
                        peak_size,
                        confidence,
                    } => {
                        println!("     {}. Periodic Cycle: {:?} cycles, peak {} bytes (confidence: {:.2})", 
                                i + 1, cycle_duration, peak_size, confidence);
                    }
                    scirs2_core::memory::metrics::AllocationPattern::BurstAllocation {
                        burst_size,
                        burst_duration,
                        confidence,
                    } => {
                        println!(
                            "     {}. Burst Allocation: {} bytes in {:?} (confidence: {:.2})",
                            i + 1,
                            burst_size,
                            burst_duration,
                            confidence
                        );
                    }
                    scirs2_core::memory::metrics::AllocationPattern::Plateau {
                        size,
                        duration,
                        confidence,
                    } => {
                        println!(
                            "     {}. Plateau: {} bytes for {:?} (confidence: {:.2})",
                            i + 1,
                            size,
                            duration,
                            confidence
                        );
                    }
                }
            }

            println!("   Efficiency Metrics:");
            println!("     Reuse ratio: {:.2}", analysis.efficiency.reuse_ratio);
            println!(
                "     Allocation frequency: {:.2}/sec",
                analysis.efficiency.allocation_frequency
            );
            println!(
                "     Avg allocation lifetime: {:?}",
                analysis.efficiency.avg_allocation_lifetime
            );
            println!(
                "     Fragmentation estimate: {:.2}",
                analysis.efficiency.fragmentation_estimate
            );

            if !analysis.potential_issues.is_empty() {
                println!("   🚨 Potential Issues:");
                for (i, issue) in analysis.potential_issues.iter().enumerate() {
                    match issue {
                        scirs2_core::memory::metrics::MemoryIssue::MemoryLeak {
                            growth_rate,
                            duration,
                            severity,
                        } => {
                            println!("     {}. Memory Leak: {:.2} bytes/sec growth over {:?} (severity: {:.2})", 
                                    i + 1, growth_rate, duration, severity);
                        }
                        scirs2_core::memory::metrics::MemoryIssue::HighAllocationFrequency {
                            frequency,
                            impact,
                        } => {
                            println!(
                                "     {}. High Allocation Frequency: {:.2}/sec - {}",
                                i + 1,
                                frequency,
                                impact
                            );
                        }
                        scirs2_core::memory::metrics::MemoryIssue::HighPeakUsage {
                            peak_size,
                            ..
                        } => {
                            println!(
                                "     {}. High Peak Usage: {} bytes ({:.2} MB)",
                                i + 1,
                                peak_size,
                                *peak_size as f64 / (1024.0 * 1024.0)
                            );
                        }
                        scirs2_core::memory::metrics::MemoryIssue::MemoryFragmentation {
                            fragmentation_ratio,
                            potential_waste,
                        } => {
                            println!("     {}. Memory Fragmentation: {:.2} ratio, {} bytes potential waste", 
                                    i + 1, fragmentation_ratio, potential_waste);
                        }
                        scirs2_core::memory::metrics::MemoryIssue::IneffientBufferPool {
                            efficiency,
                            pool_misses,
                        } => {
                            println!(
                                "     {}. Inefficient Buffer Pool: {:.2} efficiency, {} misses",
                                i + 1,
                                efficiency,
                                pool_misses
                            );
                        }
                    }
                }
            }

            if !analysis.recommendations.is_empty() {
                println!("   💡 Optimization Recommendations:");
                for (i, recommendation) in analysis.recommendations.iter().enumerate() {
                    match recommendation {
                        scirs2_core::memory::metrics::OptimizationRecommendation::UseBufferPooling { expected_savings, suggested_poolsizes } => {
                            println!("     {}. Use Buffer Pooling: Save ~{} bytes, pools: {:?}", 
                                    i + 1, expected_savings, suggested_poolsizes);
                        }
                        scirs2_core::memory::metrics::OptimizationRecommendation::BatchAllocations { current_frequency, suggested_batch_size } => {
                            println!("     {}. Batch Allocations: Reduce from {:.2}/sec, batch size: {}", 
                                    i + 1, current_frequency, suggested_batch_size);
                        }
                        scirs2_core::memory::metrics::OptimizationRecommendation::PreAllocateMemory { suggested_size, performance_gain } => {
                            println!("     {}. Pre-allocate {} bytes: {}", 
                                    i + 1, suggested_size, performance_gain);
                        }
                        scirs2_core::memory::metrics::OptimizationRecommendation::UseMemoryEfficientStructures { current_type, suggested_alternative, memory_reduction } => {
                            println!("     {}. Use {} instead of {}: Save {} bytes", 
                                    i + 1, suggested_alternative, current_type, memory_reduction);
                        }
                        scirs2_core::memory::metrics::OptimizationRecommendation::ImplementCompaction { fragmentation_reduction, suggested_frequency } => {
                            println!("     {}. Implement Compaction: {:.2} reduction every {:?}", 
                                    i + 1, fragmentation_reduction, suggested_frequency);
                        }
                    }
                }
            }
        }
    }

    Ok(())
}

/// Demonstrate performance impact analysis
#[cfg(feature = "memory_management")]
#[allow(dead_code)]
fn demo_performance_analysis() -> Result<(), Box<dyn std::error::Error>> {
    println!("\n5. Performance Impact Analysis");
    println!("==============================");

    let profiler = MemoryProfiler::new(MemoryProfilerConfig {
        enabled: false, // Disable background monitoring for this demo
        ..Default::default()
    });

    let sessionid = profiler.start_session(Some("performance_analysis".to_string()));
    println!("Started performance analysis session: {}", sessionid);

    // Simulate high-frequency allocation patterns that impact performance
    println!("Simulating performance-impacting allocation patterns...");

    let start_time = Instant::now();
    let mut allocation_count = 0;

    // High-frequency small allocations (performance impact)
    println!("  Phase 1: High-frequency small allocations");
    for i in 0..1000 {
        let size = 64 + (i % 128); // Small, variable size allocations
        let event = MemoryEvent::new(
            MemoryEventType::Allocation,
            "HighFrequencyComponent",
            size,
            0x400000 + (i * size),
        );
        profiler.record_event(event);
        allocation_count += 1;

        // Very short sleep to simulate high frequency
        thread::sleep(Duration::from_micros(100));
    }

    // Large allocations (memory pressure)
    println!("  Phase 2: Large allocations causing memory pressure");
    for i in 0..50 {
        let size = 1024 * 1024 + (i * 1024 * 512); // 1MB+ allocations
        let event = MemoryEvent::new(
            MemoryEventType::Allocation,
            "LargeAllocationComponent",
            size,
            0x800000 + (i * size),
        );
        profiler.record_event(event);
        allocation_count += 1;

        thread::sleep(Duration::from_millis(50));
    }

    // Fragmented allocation pattern
    println!("  Phase 3: Fragmented allocation pattern");
    for i in 0..200 {
        // Alternate between small and large allocations
        let size = if i % 2 == 0 { 128 } else { 8192 };
        let event = MemoryEvent::new(
            MemoryEventType::Allocation,
            "FragmentedComponent",
            size,
            0xC00000 + (i * 10000),
        );
        profiler.record_event(event);
        allocation_count += 1;

        // Deallocate every 4th allocation to create fragmentation
        if i % 4 == 0 && i > 0 {
            let dealloc_event = MemoryEvent::new(
                MemoryEventType::Deallocation,
                "FragmentedComponent",
                size,
                0xC00000 + ((i - 4) * 10000),
            );
            profiler.record_event(dealloc_event);
        }

        thread::sleep(Duration::from_millis(10));
    }

    let total_time = start_time.elapsed();

    // End session and analyze performance impact
    if let Some(result) = profiler.end_session() {
        println!("\n📈 Performance Impact Analysis Results:");
        println!("======================================");

        println!("Allocation Performance:");
        println!("  Total allocations: {}", allocation_count);
        println!("  Total time: {:?}", total_time);
        println!(
            "  Allocation rate: {:.2}/sec",
            allocation_count as f64 / total_time.as_secs_f64()
        );
        println!(
            "  Average allocation time: {:?}",
            result.performance_impact.avg_allocation_time
        );
        println!(
            "  Total allocation overhead: {:?}",
            result.performance_impact.total_allocation_time
        );

        println!("\nMemory System Impact:");
        println!(
            "  Performance bottlenecks detected: {}",
            result.performance_impact.performance_bottlenecks
        );
        println!(
            "  Memory bandwidth utilization: {:.2}%",
            result.performance_impact.memorybandwidth_utilization * 100.0
        );
        println!(
            "  Cache miss estimate: {:.2}%",
            result.performance_impact.cache_miss_estimate * 100.0
        );

        println!("\nMemory Usage Summary:");
        println!(
            "  Peak memory usage: {:.2} MB",
            result.session.peak_memory_usage as f64 / (1024.0 * 1024.0)
        );
        println!("  Components tracked: {}", result.session.component_count);

        // Show component-specific analysis
        println!("\nPer-Component Analysis:");
        for (component, stats) in &result.memory_report.component_stats {
            println!("  {}:", component);
            println!(
                "    Current usage: {:.2} KB",
                stats.current_usage as f64 / 1024.0
            );
            println!("    Peak usage: {:.2} KB", stats.peak_usage as f64 / 1024.0);
            println!("    Allocations: {}", stats.allocation_count);
            println!(
                "    Avg allocation size: {:.0} bytes",
                stats.avg_allocation_size
            );

            // Calculate efficiency metrics
            let reuse_ratio = if stats.peak_usage > 0 {
                stats.total_allocated as f64 / stats.peak_usage as f64
            } else {
                0.0
            };
            println!("    Memory reuse ratio: {:.2}", reuse_ratio);

            if stats.allocation_count > 0 {
                let alloc_rate = stats.allocation_count as f64 / total_time.as_secs_f64();
                println!("    Allocation rate: {:.2}/sec", alloc_rate);

                if alloc_rate > 100.0 {
                    println!("    ⚠️  High allocation frequency may impact performance");
                }
            }
        }

        // Overall recommendations
        println!("\n💡 Performance Optimization Recommendations:");
        if result.performance_impact.performance_bottlenecks > 0 {
            println!("  • Reduce allocation frequency using buffer pooling");
            println!("  • Batch small allocations to reduce overhead");
        }

        if result.performance_impact.cache_miss_estimate > 0.3 {
            println!("  • Optimize data locality to reduce cache misses");
            println!("  • Consider memory-efficient data structures");
        }

        if result.session.peak_memory_usage > 100 * 1024 * 1024 {
            println!("  • Monitor memory usage to prevent excessive consumption");
            println!("  • Implement memory usage limits and monitoring");
        }

        println!("  • Profile actual runtime performance to validate optimizations");
    }

    Ok(())
}
