rustorch 0.6.29

//! Basic Profiler Tests - Standalone validation
//! 基本プロファイラーテスト - スタンドアロン検証

#[cfg(test)]
mod basic_profiler_tests {
    use std::collections::HashMap;
    use std::thread;
    use std::time::{Duration, Instant};

    /// Basic timing test to validate profiling concept
    #[test]
    fn test_basic_timing() {
        let start = Instant::now();

        // Simulate some work
        thread::sleep(Duration::from_millis(10));

        let elapsed = start.elapsed();
        assert!(elapsed >= Duration::from_millis(10));
        assert!(elapsed < Duration::from_millis(50)); // Should be reasonably close
    }

    /// Test metrics collection concept
    #[test]
    fn test_basic_metrics_collection() {
        let mut metrics: HashMap<String, Vec<f64>> = HashMap::new();

        // Collect some metrics
        for i in 1..=5 {
            metrics
                .entry("test_metric".to_string())
                .or_default()
                .push(i as f64 * 10.0);
        }

        let values = metrics.get("test_metric").unwrap();
        assert_eq!(values.len(), 5);
        assert_eq!(values[0], 10.0);
        assert_eq!(values[4], 50.0);

        // Calculate basic statistics
        let sum: f64 = values.iter().sum();
        let mean = sum / values.len() as f64;
        assert_eq!(mean, 30.0); // (10+20+30+40+50)/5 = 30
    }

    /// Test benchmark concept
    #[test]
    fn test_basic_benchmark() {
        let iterations = 10;
        let mut timings = Vec::new();

        for _i in 0..iterations {
            let start = Instant::now();

            // Simulate benchmark operation
            let mut sum = 0;
            for j in 0..1000 {
                sum += j;
            }
            let _ = sum; // Use the sum to prevent optimization

            let elapsed = start.elapsed();
            timings.push(elapsed.as_nanos() as f64);
        }

        assert_eq!(timings.len(), iterations);

        // Calculate basic statistics
        let sum: f64 = timings.iter().sum();
        let mean = sum / timings.len() as f64;

        let variance: f64 =
            timings.iter().map(|x| (x - mean).powi(2)).sum::<f64>() / timings.len() as f64;

        let std_dev = variance.sqrt();

        assert!(mean > 0.0);
        assert!(std_dev >= 0.0);

        println!(
            "Benchmark results: mean={:.2}ns, std_dev={:.2}ns",
            mean, std_dev
        );
    }

    /// Test performance analysis concept
    #[test]
    fn test_basic_performance_analysis() {
        // Simulate performance data points (time, value)
        let data_points = [
            (1.0, 100.0),
            (2.0, 150.0),
            (3.0, 200.0),
            (4.0, 250.0),
            (5.0, 300.0),
        ];

        // Simple linear regression calculation
        let n = data_points.len() as f64;
        let sum_x: f64 = data_points.iter().map(|(x, _)| x).sum();
        let sum_y: f64 = data_points.iter().map(|(_, y)| y).sum();
        let sum_xy: f64 = data_points.iter().map(|(x, y)| x * y).sum();
        let sum_x2: f64 = data_points.iter().map(|(x, _)| x * x).sum();

        let slope = (n * sum_xy - sum_x * sum_y) / (n * sum_x2 - sum_x * sum_x);
        let intercept = (sum_y - slope * sum_x) / n;

        // Should have positive slope (increasing trend)
        assert!(slope > 0.0);
        assert!(slope > 40.0 && slope < 60.0); // Should be close to 50
        assert!(intercept > 40.0 && intercept < 60.0); // Should be close to 50

        println!(
            "Trend analysis: slope={:.2}, intercept={:.2}",
            slope, intercept
        );
    }

    /// Test system monitoring concept
    #[test]
    fn test_basic_system_monitoring() {
        use std::sync::{Arc, Mutex};

        let metrics = Arc::new(Mutex::new(Vec::new()));
        let metrics_clone = Arc::clone(&metrics);

        // Simulate collecting system metrics
        let handle = std::thread::spawn(move || {
            for i in 1..=5 {
                let cpu_usage = 20.0 + (i as f64 * 5.0); // Simulate increasing CPU usage
                let memory_usage = 1024 * 1024 * (100 + i * 10); // Simulate memory usage

                metrics_clone
                    .lock()
                    .unwrap()
                    .push((cpu_usage, memory_usage));
                thread::sleep(Duration::from_millis(1));
            }
        });

        handle.join().unwrap();

        let collected_metrics = metrics.lock().unwrap();
        assert_eq!(collected_metrics.len(), 5);

        // Verify trend
        let first_cpu = collected_metrics[0].0;
        let last_cpu = collected_metrics[4].0;
        assert!(last_cpu > first_cpu); // CPU usage should increase

        println!(
            "System monitoring: collected {} data points",
            collected_metrics.len()
        );
    }

    /// Test alert system concept
    #[test]
    fn test_basic_alert_system() {
        #[derive(Debug, Clone)]
        struct Alert {
            name: String,
            threshold: f64,
            current_value: f64,
            triggered: bool,
        }

        let mut alerts = Vec::new();

        // Define thresholds
        alerts.push(Alert {
            name: "CPU_USAGE".to_string(),
            threshold: 80.0,
            current_value: 0.0,
            triggered: false,
        });

        alerts.push(Alert {
            name: "MEMORY_USAGE".to_string(),
            threshold: 85.0,
            current_value: 0.0,
            triggered: false,
        });

        // Simulate metric updates
        let test_values = vec![
            ("CPU_USAGE", 75.0),
            ("MEMORY_USAGE", 70.0),
            ("CPU_USAGE", 85.0),    // Should trigger
            ("MEMORY_USAGE", 90.0), // Should trigger
        ];

        for (metric_name, value) in test_values {
            for alert in &mut alerts {
                if alert.name == metric_name {
                    alert.current_value = value;
                    alert.triggered = value > alert.threshold;
                }
            }
        }

        // Verify alerts
        let cpu_alert = alerts.iter().find(|a| a.name == "CPU_USAGE").unwrap();
        let memory_alert = alerts.iter().find(|a| a.name == "MEMORY_USAGE").unwrap();

        assert!(cpu_alert.triggered);
        assert!(memory_alert.triggered);
        assert_eq!(cpu_alert.current_value, 85.0);
        assert_eq!(memory_alert.current_value, 90.0);

        println!(
            "Alert system: {} alerts triggered",
            alerts.iter().filter(|a| a.triggered).count()
        );
    }
}