amberjs 1.17.0

// I/O 密集型工作负载
//
// 实现 I/O 密集型任务的性能测试，包括：
// - 文件读写操作
// - 网络请求处理
// - 数据库操作模拟


use serde::{Deserialize, Serialize};
use std::collections::{BTreeMap, HashMap};
use super::{WorkloadResult, ResourceUsage, BenchmarkError, BenchmarkResult as Result};
/// I/O 密集型工作负载
#[derive(Debug)]
pub struct IOWorkload {
    workload_type: super::WorkloadType,
}
impl IOWorkload {
    /// 创建新的 I/O 密集型工作负载
    pub fn new() -> Self {
        Self {
            workload_type: super::WorkloadType::IoIntensive,
        }
    }
    /// 执行工作负载
    pub async fn execute(
        &self,
        parameters: HashMap<String, serde_json::Value>>,
        concurrency: u32,
    ) -> Result<WorkloadResult> {
        let mut result = WorkloadResult::new(self.workload_type);
        result.start();
        let iterations: _ = get_iterations(&parameters);
        let operation: _ = get_operation(&parameters);
        // 并行执行 I/O 任务
        let handles: Vec<_> = (0..concurrency)
            .map(|_| {
                let operation: _ = operation.clone();
                let iterations: _ = iterations;
                tokio::spawn(async move {
                    Self::run_io_tasks(operation, iterations).await
                })
            })
            .collect();
        // 等待所有任务完成
        let mut total_iterations = 0;
        for handle in handles {
            match handle.await {
                Ok(Ok(iterations_completed)) => {
                    total_iterations += iterations_completed;
                }
                Ok(Err(e)) => {
                    result.add_error(&format!("Task failed: {}", e));
                }
                Err(e) => {
                    result.add_error(&format!("Task panicked: {}", e));
                }
            }
        }
        // 收集资源使用情况
        let resource_usage: _ = Self::collect_resource_usage();
        result.resource_usage = resource_usage;
        result.finish(total_iterations);
        Ok(result)
    }
    /// 运行 I/O 任务
    async fn run_io_tasks(
        operation: String,
        iterations: u32,
    ) -> Result<u32, BenchmarkError> {
        let mut completed_iterations = 0;
        for _ in 0..iterations {
            match operation.as_str() {
                "file_read" => {
                    Self::file_read_benchmark().await?;
                }
                "file_write" => {
                    Self::file_write_benchmark().await?;
                }
                "network_request" => {
                    Self::network_request_benchmark().await?;
                }
                "database_query" => {
                    Self::database_query_benchmark().await?;
                }
                _ => {
                    return Err(BenchmarkError::ConfigError(
                        format!("Unknown operation: {}", operation));
                }
            }
            completed_iterations += 1;
            tokio::task::yield_now().await;
        }
        Ok(completed_iterations)
    }
    /// 文件读取基准测试
    async fn file_read_benchmark() -> Result<(), BenchmarkError> {
        let content: _ = "Hello, World!".repeat(1000);
        let temp_file: _ = super::super::utils::create_temp_dir("io_bench")?;
        let file_path: _ = temp_file.path().join("test.txt");
        // 写入文件
        tokio::fs::write(&file_path, &content).await?;
        // 读取文件
        let _read_content: _ = tokio::fs::read(&file_path).await?;
        Ok(())
    }
    /// 文件写入基准测试
    async fn file_write_benchmark() -> Result<(), BenchmarkError> {
        let content: _ = "Hello, World!".repeat(1000);
        let temp_file: _ = super::super::utils::create_temp_dir("io_bench")?;
        let file_path: _ = temp_file.path().join("test.txt");
        tokio::fs::write(&file_path, &content).await?;
        Ok(())
    }
    /// 网络请求基准测试 (模拟)
    async fn network_request_benchmark() -> Result<(), BenchmarkError> {
        // 模拟网络请求延迟
        tokio::time::sleep(Duration::from_millis(10)).await;
        Ok(())
    }
    /// 数据库查询基准测试 (模拟)
    async fn database_query_benchmark() -> Result<(), BenchmarkError> {
        // 模拟数据库查询延迟
        tokio::time::sleep(Duration::from_millis(5)).await;
        Ok(())
    }
    /// 收集资源使用情况
    fn collect_resource_usage() -> ResourceUsage {
        ResourceUsage::new()
            .cpu_usage(30.0) // I/O 密集型任务 CPU 使用率较低
    }
}
impl Default for IOWorkload {
    fn default() -> Self {
        Self::new()
    }
}
/// 获取迭代次数
fn get_iterations(parameters: &HashMap<String, serde_json::Value>) -> u32 {
    parameters
        .get("iterations")
        .and_then(|v| v.as_u64())
        .map(|v| v as u32)
        .unwrap_or(100)
}
/// 获取操作类型
fn get_operation(parameters: &HashMap<String, serde_json::Value>) -> String {
    parameters
        .get("operation")
        .and_then(|v| v.as_str())
        .map(|s| s.to_string())
        .unwrap_or_else(|| "file_read".to_string())
}
#[cfg(test)]
mod tests {
    use super::*;
use std::time::{Duration, Instant};
    #[tokio::test]
    async fn test_workload_execution() {
        let workload: _ = IOWorkload::new();
        let mut parameters = HashMap::new();
        parameters.insert("iterations".to_string(), serde_json::Value::from(5u64));
        parameters.insert("operation".to_string(), serde_json::Value::from("file_read"));
        let result: _ = workload.execute(parameters, 1).await.unwrap();
        assert_eq!(result.workload_type, super::super::WorkloadType::IoIntensive);
        assert_eq!(result.iterations, 5);
        assert!(result.success);
    }
}