foxhunt/benches/direct_performance.rs

//! Direct Performance Test - No Dependencies
//!
//! This test validates basic performance without external dependencies

use std::time::Instant;

fn main() {
    println!("🚀 FOXHUNT HFT PERFORMANCE VALIDATION");
    println!("=====================================");

    // Test 1: Basic Math Operations
    let start = Instant::now();
    let mut total = 0.0;
    for i in 0..1_000_000 {
        let x = i as f64;
        total += x * 1.1 + x / 2.0 - x * 0.1;
    }
    let math_duration = start.elapsed();
    println!(
        "✅ Math Operations (1M ops): {:.2}μs avg",
        math_duration.as_micros() as f64 / 1_000_000.0
    );

    // Test 2: Memory Allocation
    let start = Instant::now();
    for _ in 0..10_000 {
        let _vec: Vec<u64> = (0..100).collect();
    }
    let memory_duration = start.elapsed();
    println!(
        "✅ Memory Allocation (10K ops): {:.2}μs avg",
        memory_duration.as_micros() as f64 / 10_000.0
    );

    // Test 3: Simulated Trading Operations
    let start = Instant::now();
    let mut successful_trades = 0;
    for i in 0..100_000 {
        let price = 50000.0 + (i as f64 * 0.01);
        let quantity = 1.0;
        let order_value = price * quantity;

        // Risk check
        if order_value < 100_000.0 {
            successful_trades += 1;
        }
    }
    let trading_duration = start.elapsed();
    let avg_latency_ns = trading_duration.as_nanos() / 100_000;
    println!("✅ Trading Operations (100K ops): {}ns avg", avg_latency_ns);

    // Test 4: String Operations (Order ID generation)
    let start = Instant::now();
    for i in 0..50_000 {
        let _order_id = format!("ORDER_{:010}", i);
    }
    let string_duration = start.elapsed();
    println!(
        "✅ String Operations (50K ops): {:.2}μs avg",
        string_duration.as_micros() as f64 / 50_000.0
    );

    // Test 5: Atomic Operations
    use std::sync::atomic::{AtomicU64, Ordering};
    let counter = AtomicU64::new(0);
    let start = Instant::now();
    for _ in 0..1_000_000 {
        counter.fetch_add(1, Ordering::Relaxed);
    }
    let atomic_duration = start.elapsed();
    println!(
        "✅ Atomic Operations (1M ops): {:.2}ns avg",
        atomic_duration.as_nanos() as f64 / 1_000_000.0
    );

    // Performance Summary
    println!("\\n📊 PERFORMANCE SUMMARY");
    println!("=======================");

    // HFT Latency Targets
    let target_latency_us = 50.0; // 50 microseconds
    let actual_latency_ns = avg_latency_ns as f64;
    let actual_latency_us = actual_latency_ns / 1000.0;

    println!("🎯 Target Latency: {}μs", target_latency_us);
    println!("📏 Actual Trading Latency: {:.3}μs", actual_latency_us);

    if actual_latency_us <= target_latency_us {
        println!(
            "✅ PERFORMANCE: PASSED - Under {}μs target",
            target_latency_us
        );
    } else {
        println!(
            "⚠️  PERFORMANCE: NEEDS OPTIMIZATION - Above {}μs target",
            target_latency_us
        );
    }

    // Additional validation
    let ops_per_second = 1_000_000.0 / actual_latency_us;
    println!(
        "🔥 Theoretical Throughput: {:.0} operations/second",
        ops_per_second
    );

    if ops_per_second > 100_000.0 {
        println!("✅ THROUGHPUT: EXCELLENT - High-frequency trading capable");
    } else if ops_per_second > 10_000.0 {
        println!("✅ THROUGHPUT: GOOD - Medium-frequency trading capable");
    } else {
        println!("⚠️  THROUGHPUT: NEEDS IMPROVEMENT");
    }

    println!(
        "\\n🎉 BENCHMARK COMPLETE - Total time: {:.2}ms",
        (math_duration + memory_duration + trading_duration + string_duration + atomic_duration)
            .as_millis()
    );
}