rustorch 0.6.29

Production-ready PyTorch-compatible deep learning library in Rust with special mathematical functions (gamma, Bessel, error functions), statistical distributions, Fourier transforms (FFT/RFFT), matrix decomposition (SVD/QR/LU/eigenvalue), automatic differentiation, neural networks, computer vision transforms, complete GPU acceleration (CUDA/Metal/OpenCL), SIMD optimizations, parallel processing, WebAssembly browser support, comprehensive distributed learning support, and performance validation
Documentation
//! System Performance Profiling
//! システムパフォーマンスプロファイリング

use crate::error::{RusTorchError, RusTorchResult};
use std::collections::HashMap;
use std::time::Instant;

/// System performance metrics
/// システムパフォーマンスメトリクス
#[derive(Debug, Clone)]
pub struct SystemMetrics {
    /// CPU usage percentage
    /// CPU使用率
    pub cpu_usage_percent: f64,
    /// Available memory (bytes)
    /// 使用可能メモリ(バイト)
    pub available_memory_bytes: u64,
    /// Total memory (bytes)
    /// 総メモリ(バイト)
    pub total_memory_bytes: u64,
    /// Load average (1 minute)
    /// 負荷平均(1分)
    pub load_average_1min: f64,
    /// Disk I/O read bytes per second
    /// ディスクI/O読み取りバイト/秒
    pub disk_read_bytes_per_sec: u64,
    /// Disk I/O write bytes per second
    /// ディスクI/O書き込みバイト/秒
    pub disk_write_bytes_per_sec: u64,
    /// Network receive bytes per second
    /// ネットワーク受信バイト/秒
    pub network_rx_bytes_per_sec: u64,
    /// Network transmit bytes per second
    /// ネットワーク送信バイト/秒
    pub network_tx_bytes_per_sec: u64,
    /// Process count
    /// プロセス数
    pub process_count: usize,
    /// Thread count
    /// スレッド数
    pub thread_count: usize,
    /// Collection timestamp
    /// 収集タイムスタンプ
    pub timestamp: Instant,
}

impl Default for SystemMetrics {
    fn default() -> Self {
        Self {
            cpu_usage_percent: 0.0,
            available_memory_bytes: 0,
            total_memory_bytes: 0,
            load_average_1min: 0.0,
            disk_read_bytes_per_sec: 0,
            disk_write_bytes_per_sec: 0,
            network_rx_bytes_per_sec: 0,
            network_tx_bytes_per_sec: 0,
            process_count: 0,
            thread_count: 0,
            timestamp: Instant::now(),
        }
    }
}

/// System profiler
/// システムプロファイラー
#[derive(Debug)]
pub struct SystemProfiler {
    /// Historical metrics
    /// 過去のメトリクス
    history: Vec<SystemMetrics>,
    /// Maximum history size
    /// 最大履歴サイズ
    max_history_size: usize,
}

impl SystemProfiler {
    /// Create new system profiler
    /// 新しいシステムプロファイラーを作成
    pub fn new() -> Self {
        Self {
            history: Vec::new(),
            max_history_size: 1000,
        }
    }

    /// Collect current system metrics
    /// 現在のシステムメトリクスを収集
    pub fn collect_metrics(&mut self) -> RusTorchResult<SystemMetrics> {
        let metrics = SystemMetrics {
            cpu_usage_percent: self.get_cpu_usage()?,
            available_memory_bytes: self.get_available_memory()?,
            total_memory_bytes: self.get_total_memory()?,
            load_average_1min: self.get_load_average()?,
            disk_read_bytes_per_sec: 0,  // Placeholder
            disk_write_bytes_per_sec: 0, // Placeholder
            network_rx_bytes_per_sec: 0, // Placeholder
            network_tx_bytes_per_sec: 0, // Placeholder
            process_count: self.get_process_count()?,
            thread_count: self.get_thread_count()?,
            timestamp: Instant::now(),
        };

        // Store in history
        self.history.push(metrics.clone());
        if self.history.len() > self.max_history_size {
            self.history.remove(0);
        }

        Ok(metrics)
    }

    /// Get metrics history
    /// メトリクス履歴を取得
    pub fn get_history(&self) -> &[SystemMetrics] {
        &self.history
    }

    /// Clear history
    /// 履歴をクリア
    pub fn clear_history(&mut self) {
        self.history.clear();
    }

    /// Get system summary
    /// システムサマリーを取得
    pub fn get_system_summary(&self) -> SystemSummary {
        if self.history.is_empty() {
            return SystemSummary::default();
        }

        let cpu_values: Vec<f64> = self.history.iter().map(|m| m.cpu_usage_percent).collect();
        let memory_usage_values: Vec<f64> = self
            .history
            .iter()
            .map(|m| {
                if m.total_memory_bytes > 0 {
                    ((m.total_memory_bytes - m.available_memory_bytes) as f64
                        / m.total_memory_bytes as f64)
                        * 100.0
                } else {
                    0.0
                }
            })
            .collect();

        SystemSummary {
            avg_cpu_usage: cpu_values.iter().sum::<f64>() / cpu_values.len() as f64,
            max_cpu_usage: cpu_values.iter().fold(0.0, |a, &b| a.max(b)),
            avg_memory_usage_percent: memory_usage_values.iter().sum::<f64>()
                / memory_usage_values.len() as f64,
            max_memory_usage_percent: memory_usage_values.iter().fold(0.0, |a, &b| a.max(b)),
            sample_count: self.history.len(),
        }
    }

    // Private helper methods (simplified implementations)

    fn get_cpu_usage(&self) -> RusTorchResult<f64> {
        // Simplified CPU usage - in production would use system APIs
        Ok(0.0)
    }

    fn get_available_memory(&self) -> RusTorchResult<u64> {
        // Simplified memory - in production would use system APIs
        Ok(8 * 1024 * 1024 * 1024) // 8GB placeholder
    }

    fn get_total_memory(&self) -> RusTorchResult<u64> {
        // Simplified total memory
        Ok(16 * 1024 * 1024 * 1024) // 16GB placeholder
    }

    fn get_load_average(&self) -> RusTorchResult<f64> {
        // Simplified load average
        Ok(1.0)
    }

    fn get_process_count(&self) -> RusTorchResult<usize> {
        // Simplified process count
        Ok(100)
    }

    fn get_thread_count(&self) -> RusTorchResult<usize> {
        // Simplified thread count
        Ok(num_cpus::get() * 2)
    }
}

impl Default for SystemProfiler {
    fn default() -> Self {
        Self::new()
    }
}

/// System performance summary
/// システムパフォーマンスサマリー
#[derive(Debug, Clone)]
pub struct SystemSummary {
    /// Average CPU usage
    /// 平均CPU使用率
    pub avg_cpu_usage: f64,
    /// Maximum CPU usage observed
    /// 観測された最大CPU使用率
    pub max_cpu_usage: f64,
    /// Average memory usage percentage
    /// 平均メモリ使用率
    pub avg_memory_usage_percent: f64,
    /// Maximum memory usage percentage
    /// 最大メモリ使用率
    pub max_memory_usage_percent: f64,
    /// Number of samples
    /// サンプル数
    pub sample_count: usize,
}

impl Default for SystemSummary {
    fn default() -> Self {
        Self {
            avg_cpu_usage: 0.0,
            max_cpu_usage: 0.0,
            avg_memory_usage_percent: 0.0,
            max_memory_usage_percent: 0.0,
            sample_count: 0,
        }
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_system_profiler_creation() {
        let profiler = SystemProfiler::new();
        assert_eq!(profiler.history.len(), 0);
    }

    #[test]
    fn test_metrics_collection() {
        let mut profiler = SystemProfiler::new();
        let result = profiler.collect_metrics();
        assert!(result.is_ok());
        assert_eq!(profiler.history.len(), 1);
    }

    #[test]
    fn test_system_summary() {
        let mut profiler = SystemProfiler::new();

        // Collect some metrics
        for _ in 0..3 {
            let _ = profiler.collect_metrics();
        }

        let summary = profiler.get_system_summary();
        assert_eq!(summary.sample_count, 3);
    }

    #[test]
    fn test_history_limit() {
        let mut profiler = SystemProfiler::new();
        profiler.max_history_size = 5;

        // Collect more metrics than limit
        for _ in 0..10 {
            let _ = profiler.collect_metrics();
        }

        assert_eq!(profiler.history.len(), 5);
    }
}