//! 性能优化模块
//!
//! 包含内存使用优化、并发处理优化和缓存策略

pub mod cache_manager;
pub mod concurrency_optimizer;
pub mod memory_optimizer;
pub mod metrics_collector;
// pub mod resource_monitor; // 模块不存在，暂时注释

use crate::config::AppConfig;
use crate::error::AppError;
use serde::{Deserialize, Serialize};
use std::sync::Arc;
use std::time::{Duration, SystemTime};

/// 性能优化器主结构
#[derive(Clone)]
pub struct PerformanceOptimizer {
    memory_optimizer: Arc<memory_optimizer::MemoryOptimizer>,
    concurrency_optimizer: Arc<concurrency_optimizer::ConcurrencyOptimizer>,
    cache_manager: Arc<cache_manager::CacheManager>,
    metrics_collector: Arc<metrics_collector::MetricsCollector>,
    // resource_monitor: Arc<resource_monitor::ResourceMonitor>, // 模块不存在，暂时注释
    _config: PerformanceConfig,
}

impl PerformanceOptimizer {
    /// 创建新的性能优化器
    pub async fn new(config: &AppConfig) -> Result<Self, AppError> {
        let performance_config = PerformanceConfig::default();
        let memory_optimizer = Arc::new(memory_optimizer::MemoryOptimizer::new(config).await?);
        let concurrency_optimizer =
            Arc::new(concurrency_optimizer::ConcurrencyOptimizer::new(config).await?);
        let cache_manager = Arc::new(cache_manager::CacheManager::new(config).await?);
        let metrics_collector = Arc::new(metrics_collector::MetricsCollector::new(config).await?);
        // let resource_monitor = Arc::new(resource_monitor::ResourceMonitor::new(config).await?); // 模块不存在，暂时注释

        Ok(Self {
            memory_optimizer,
            concurrency_optimizer,
            cache_manager,
            metrics_collector,
            // resource_monitor, // 模块不存在，暂时注释
            _config: performance_config,
        })
    }

    /// 启动性能监控
    pub async fn start_monitoring(&self) -> Result<(), AppError> {
        // self.resource_monitor.start_monitoring().await?; // 模块不存在，暂时注释
        // self.metrics_collector.start_monitoring().await?; // 方法不存在，暂时注释
        Ok(())
    }

    /// 停止性能监控
    pub async fn stop_monitoring(&self) -> Result<(), AppError> {
        // self.resource_monitor.stop_monitoring().await?; // 模块不存在，暂时注释
        // self.metrics_collector.stop_monitoring().await?; // 方法不存在，暂时注释
        Ok(())
    }

    /// 获取内存优化器
    pub fn memory_optimizer(&self) -> &Arc<memory_optimizer::MemoryOptimizer> {
        &self.memory_optimizer
    }

    /// 获取并发优化器
    pub fn concurrency_optimizer(&self) -> &Arc<concurrency_optimizer::ConcurrencyOptimizer> {
        &self.concurrency_optimizer
    }

    /// 获取缓存管理器
    pub fn cache_manager(&self) -> &Arc<cache_manager::CacheManager> {
        &self.cache_manager
    }

    /// 获取指标收集器
    pub fn metrics_collector(&self) -> &Arc<metrics_collector::MetricsCollector> {
        &self.metrics_collector
    }

    // /// 获取资源监控器
    // pub fn resource_monitor(&self) -> &Arc<resource_monitor::ResourceMonitor> {
    //     &self.resource_monitor
    // } // 模块不存在，暂时注释

    // /// 启动资源监控
    // pub async fn start_resource_monitoring(&self) -> Result<(), DocumentParserError> {
    //     self.resource_monitor.start_monitoring().await
    // } // 模块不存在，暂时注释

    // /// 停止资源监控
    // pub async fn stop_resource_monitoring(&self) -> Result<(), DocumentParserError> {
    //     self.resource_monitor.stop_monitoring().await
    // } // 模块不存在，暂时注释

    // /// 获取资源统计
    // pub async fn get_resource_stats(&self) -> Result<resource_monitor::ResourceStats, DocumentParserError> {
    //     self.resource_monitor.get_stats().await
    // } // 模块不存在，暂时注释

    /// 优化资源使用
    pub async fn optimize_resources(&self) -> Result<(), AppError> {
        // self.resource_monitor.optimize().await // 模块不存在，暂时注释
        Ok(())
    }

    /// 执行性能优化
    pub async fn optimize(&self) -> Result<(), AppError> {
        // 执行内存优化
        self.memory_optimizer.optimize().await?;

        // 执行并发优化
        self.concurrency_optimizer.optimize().await?;

        // 执行缓存优化
        self.cache_manager.optimize().await?;

        Ok(())
    }

    /// 获取性能报告
    pub async fn get_performance_report(&self) -> Result<PerformanceReport, AppError> {
        // let system_resources = self.resource_monitor.get_system_resources().await?; // 模块不存在，暂时注释
        // let app_resources = self.resource_monitor.get_application_resources().await?; // 模块不存在，暂时注释
        let metrics = self.metrics_collector.get_stats().await?;
        let cache_stats = self.cache_manager.get_stats().await?;

        Ok(PerformanceReport {
            system_resources: Default::default(),
            application_resources: Default::default(),
            metrics,
            cache_stats,
            generated_at: SystemTime::now(),
        })
    }
}

/// 性能报告
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceReport {
    pub system_resources: serde_json::Value, // resource_monitor::SystemResourceStatus, // 模块不存在，暂时使用通用类型
    pub application_resources: serde_json::Value, // resource_monitor::ApplicationResourceStatus, // 模块不存在，暂时使用通用类型
    pub metrics: serde_json::Value,
    pub cache_stats: serde_json::Value,
    pub generated_at: SystemTime,
}

/// 详细性能报告
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct DetailedPerformanceReport {
    pub memory_stats: memory_optimizer::MemoryStats,
    pub concurrency_stats: concurrency_optimizer::ConcurrencyStats,
    pub cache_stats: cache_manager::CacheStats,
    pub metrics: metrics_collector::MetricsSnapshot,
    // pub resource_stats: resource_monitor::ResourceStats, // 模块不存在，暂时注释
    pub timestamp: chrono::DateTime<chrono::Utc>,
}

/// 性能配置
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct PerformanceConfig {
    /// 内存优化配置
    pub memory: MemoryConfig,
    /// 并发优化配置
    pub concurrency: ConcurrencyConfig,
    /// 缓存配置
    pub cache: CacheConfig,
    /// 资源配置
    pub resource: ResourceConfig,
    /// 监控配置
    pub monitoring: MonitoringConfig,
}

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct ResourceConfig {
    pub max_cpu_usage: f64,
    pub max_memory_usage: u64,
    pub max_disk_usage: u64,
    pub max_network_bandwidth: u64,
    pub max_connections: usize,
    pub max_file_descriptors: usize,
    pub min_instances: usize,
    pub max_instances: usize,
    pub monitoring_interval: Duration,
}

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct MemoryConfig {
    /// 最大内存使用量（字节）
    pub max_memory_usage: u64,
    /// 内存清理阈值（百分比）
    pub cleanup_threshold: f64,
    /// 内存池大小
    pub pool_size: usize,
    /// 启用内存压缩
    pub enable_compression: bool,
}

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct ConcurrencyConfig {
    /// 最大并发任务数
    pub max_concurrent_tasks: usize,
    /// 任务队列大小
    pub task_queue_size: usize,
    /// 工作线程数
    pub worker_threads: usize,
    /// 任务超时时间
    pub task_timeout: Duration,
}

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct CacheConfig {
    /// 缓存大小（字节）
    pub cache_size: u64,
    /// 文档缓存大小
    pub document_cache_size: usize,
    /// 结果缓存大小
    pub result_cache_size: usize,
    /// 元数据缓存大小
    pub metadata_cache_size: usize,
    /// 缓存TTL
    pub ttl: Duration,
    /// 文档缓存TTL
    pub document_ttl: Duration,
    /// 结果缓存TTL
    pub result_ttl: Duration,
    /// 元数据缓存TTL
    pub metadata_ttl: Duration,
    /// 清理间隔
    pub cleanup_interval: Duration,
    /// 启用LRU淘汰
    pub enable_lru: bool,
    /// 缓存压缩
    pub enable_compression: bool,
}

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct MonitoringConfig {
    /// 监控间隔
    pub interval: Duration,
    /// 启用详细监控
    pub enable_detailed: bool,
    /// 保留历史数据时间
    pub retention_period: Duration,
}

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct MetricsConfig {
    /// 指标收集间隔
    pub collection_interval: Duration,
    /// 启用系统指标收集
    pub enable_system_metrics: bool,
    /// 启用应用指标收集
    pub enable_application_metrics: bool,
    /// 启用自定义指标
    pub enable_custom_metrics: bool,
    /// 指标保留时间
    pub retention_period: Duration,
    /// 聚合窗口大小
    pub aggregation_window: Duration,
    /// 聚合间隔
    pub aggregation_interval: Duration,
    /// 启用指标导出
    pub enable_export: bool,
    /// 导出格式
    pub export_format: String,
    /// 报告生成间隔
    pub report_interval: Duration,
    /// 报告间隔
    pub reporting_interval: Duration,
}

impl Default for PerformanceConfig {
    fn default() -> Self {
        Self {
            memory: MemoryConfig {
                max_memory_usage: 2 * 1024 * 1024 * 1024, // 2GB
                cleanup_threshold: 0.8,                   // 80%
                pool_size: 100,
                enable_compression: true,
            },
            concurrency: ConcurrencyConfig {
                max_concurrent_tasks: 10,
                task_queue_size: 100,
                worker_threads: num_cpus::get(),
                task_timeout: Duration::from_secs(1800), // 30分钟
            },
            cache: CacheConfig {
                cache_size: 512 * 1024 * 1024, // 512MB
                document_cache_size: 1000,
                result_cache_size: 500,
                metadata_cache_size: 200,
                ttl: Duration::from_secs(3600),             // 1小时
                document_ttl: Duration::from_secs(3600),    // 1小时
                result_ttl: Duration::from_secs(1800),      // 30分钟
                metadata_ttl: Duration::from_secs(7200),    // 2小时
                cleanup_interval: Duration::from_secs(300), // 5分钟
                enable_lru: true,
                enable_compression: true,
            },
            resource: ResourceConfig {
                max_cpu_usage: 80.0,
                max_memory_usage: 8 * 1024 * 1024 * 1024, // 8GB
                max_disk_usage: 100 * 1024 * 1024 * 1024, // 100GB
                max_network_bandwidth: 1024 * 1024 * 1024, // 1GB/s
                max_connections: 1000,
                max_file_descriptors: 10000,
                min_instances: 1,
                max_instances: 10,
                monitoring_interval: Duration::from_secs(30),
            },
            monitoring: MonitoringConfig {
                interval: Duration::from_secs(30),
                enable_detailed: false,
                retention_period: Duration::from_secs(24 * 3600), // 24小时
            },
        }
    }
}

impl Default for MemoryConfig {
    fn default() -> Self {
        Self {
            max_memory_usage: 1024 * 1024 * 1024, // 1GB
            cleanup_threshold: 0.8,
            pool_size: 100,
            enable_compression: true,
        }
    }
}

impl Default for ConcurrencyConfig {
    fn default() -> Self {
        Self {
            max_concurrent_tasks: 10,
            task_queue_size: 1000,
            worker_threads: 4,
            task_timeout: Duration::from_secs(300),
        }
    }
}

impl Default for CacheConfig {
    fn default() -> Self {
        Self {
            cache_size: 100 * 1024 * 1024, // 100MB
            document_cache_size: 1000,
            result_cache_size: 500,
            metadata_cache_size: 2000,
            ttl: Duration::from_secs(3600),             // 1 hour
            document_ttl: Duration::from_secs(3600),    // 1 hour
            result_ttl: Duration::from_secs(1800),      // 30 minutes
            metadata_ttl: Duration::from_secs(7200),    // 2 hours
            cleanup_interval: Duration::from_secs(300), // 5 minutes
            enable_lru: true,
            enable_compression: false,
        }
    }
}

impl Default for MonitoringConfig {
    fn default() -> Self {
        Self {
            interval: Duration::from_secs(30),
            enable_detailed: false,
            retention_period: Duration::from_secs(86400), // 24 hours
        }
    }
}

impl Default for ResourceConfig {
    fn default() -> Self {
        Self {
            max_cpu_usage: 80.0,
            max_memory_usage: 1024 * 1024 * 1024,     // 1GB
            max_disk_usage: 10 * 1024 * 1024 * 1024,  // 10GB
            max_network_bandwidth: 100 * 1024 * 1024, // 100MB/s
            max_connections: 1000,
            max_file_descriptors: 1024,
            min_instances: 1,
            max_instances: 10,
            monitoring_interval: Duration::from_secs(60),
        }
    }
}

impl Default for MetricsConfig {
    fn default() -> Self {
        Self {
            collection_interval: Duration::from_secs(30),
            enable_system_metrics: true,
            enable_application_metrics: true,
            enable_custom_metrics: false,
            retention_period: Duration::from_secs(3600 * 24), // 24小时
            aggregation_window: Duration::from_secs(300),     // 5分钟
            aggregation_interval: Duration::from_secs(60),    // 1分钟
            enable_export: false,
            export_format: "json".to_string(),
            report_interval: Duration::from_secs(300), // 5分钟
            reporting_interval: Duration::from_secs(300), // 5分钟
        }
    }
}

/// 性能优化特征
#[async_trait::async_trait]
pub trait PerformanceOptimizable {
    /// 执行性能优化
    async fn optimize(&self) -> Result<(), AppError>;

    /// 获取性能统计
    async fn get_stats(&self) -> Result<serde_json::Value, AppError>;

    /// 重置性能统计
    async fn reset_stats(&self) -> Result<(), AppError>;
}

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

    #[tokio::test]
    async fn test_performance_optimizer_creation() {
        // 使用默认配置进行测试
        let config = crate::config::AppConfig::load_base_config().unwrap();
        let optimizer = PerformanceOptimizer::new(&config).await;
        assert!(optimizer.is_ok());
    }

    #[tokio::test]
    async fn test_performance_config_default() {
        let config = PerformanceConfig::default();
        assert!(config.memory.max_memory_usage > 0);
        assert!(config.concurrency.max_concurrent_tasks > 0);
        assert!(config.cache.cache_size > 0);
    }
}