//! ComfyUI V2 性能优化命令
//! 基于缓存管理器和性能监控的 Tauri 命令

use anyhow::Result;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use tauri::State;
use tracing::{info, warn, error, debug};

use crate::app_state::AppState;
use crate::business::services::{
    cache_manager::{CacheManager, CacheConfig, CacheStats, CachePriority, EvictionPolicy, CacheHealthStatus},
    performance_monitor_v2::{PerformanceMonitorV2, PerformanceMonitorConfig, PerformanceMetrics, PerformanceAlert, PerformanceThresholds},
};

// ==================== 请求和响应类型 ====================

/// 缓存配置请求
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheConfigRequest {
    pub max_size_mb: Option<usize>,
    pub max_items: Option<usize>,
    pub default_ttl_seconds: Option<u64>,
    pub cleanup_interval_seconds: Option<u64>,
    pub eviction_policy: Option<String>, // "lru" | "lfu" | "fifo" | "ttl" | "smart"
    pub enable_stats: Option<bool>,
    pub warmup_threshold: Option<f64>,
}

/// 缓存统计响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheStatsResponse {
    pub total_requests: u64,
    pub hits: u64,
    pub misses: u64,
    pub hit_rate: f64,
    pub current_items: usize,
    pub current_size: usize,
    pub max_size: usize,
    pub utilization: f64,
    pub average_access_time: f64,
    pub evictions: u64,
    pub expirations: u64,
}

/// 缓存项信息响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheItemInfoResponse {
    pub created_at: String,
    pub last_accessed: String,
    pub access_count: u64,
    pub expires_at: Option<String>,
    pub size: usize,
    pub priority: String,
}

/// 性能监控配置请求
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceMonitorConfigRequest {
    pub monitor_interval_seconds: Option<u64>,
    pub history_retention_hours: Option<u64>,
    pub max_history_records: Option<usize>,
    pub enable_alerts: Option<bool>,
    pub thresholds: Option<PerformanceThresholdsRequest>,
}

/// 性能阈值请求
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceThresholdsRequest {
    pub cpu_usage_warning: Option<f64>,
    pub cpu_usage_critical: Option<f64>,
    pub memory_usage_warning: Option<f64>,
    pub memory_usage_critical: Option<f64>,
    pub response_time_warning: Option<f64>,
    pub response_time_critical: Option<f64>,
    pub error_rate_warning: Option<f64>,
    pub error_rate_critical: Option<f64>,
    pub cache_hit_rate_warning: Option<f64>,
    pub queue_length_warning: Option<u32>,
    pub queue_length_critical: Option<u32>,
}

/// 性能指标响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceMetricsResponse {
    pub system: SystemMetricsResponse,
    pub application: ApplicationMetricsResponse,
}

/// 系统指标响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SystemMetricsResponse {
    pub timestamp: u64,
    pub cpu_usage: f64,
    pub memory_usage: u64,
    pub memory_usage_percent: f64,
    pub disk_usage: u64,
    pub disk_read_rate: f64,
    pub disk_write_rate: f64,
    pub network_rx_rate: f64,
    pub network_tx_rate: f64,
}

/// 应用指标响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ApplicationMetricsResponse {
    pub timestamp: u64,
    pub active_connections: u32,
    pub queue_length: u32,
    pub cache_hit_rate: f64,
    pub average_response_time: f64,
    pub error_rate: f64,
    pub throughput: f64,
    pub concurrent_executions: u32,
}

/// 性能警报响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceAlertResponse {
    pub id: String,
    pub alert_type: String,
    pub severity: String,
    pub message: String,
    pub current_value: f64,
    pub threshold: f64,
    pub triggered_at: u64,
    pub resolved: bool,
    pub resolved_at: Option<u64>,
}

// ==================== 缓存管理命令 ====================

/// 启动缓存管理器
#[tauri::command]
pub async fn comfyui_v2_start_cache_manager(
    config: Option<CacheConfigRequest>,
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_start_cache_manager");

    // TODO: 创建和启动缓存管理器
    Ok("缓存管理器已启动".to_string())
}

/// 停止缓存管理器
#[tauri::command]
pub async fn comfyui_v2_stop_cache_manager(
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_stop_cache_manager");

    // TODO: 停止缓存管理器
    Ok("缓存管理器已停止".to_string())
}

/// 获取缓存统计
#[tauri::command]
pub async fn comfyui_v2_get_cache_stats(
    state: State<'_, AppState>,
) -> Result<CacheStatsResponse, String> {
    info!("Command: comfyui_v2_get_cache_stats");

    // TODO: 从缓存管理器获取统计
    Ok(CacheStatsResponse {
        total_requests: 0,
        hits: 0,
        misses: 0,
        hit_rate: 0.0,
        current_items: 0,
        current_size: 0,
        max_size: 0,
        utilization: 0.0,
        average_access_time: 0.0,
        evictions: 0,
        expirations: 0,
    })
}

/// 清空缓存
#[tauri::command]
pub async fn comfyui_v2_clear_cache(
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_clear_cache");

    // TODO: 清空缓存
    Ok("缓存已清空".to_string())
}

/// 预热缓存
#[tauri::command]
pub async fn comfyui_v2_warmup_cache(
    keys: Vec<String>,
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_warmup_cache - {} 个项目", keys.len());

    // TODO: 预热缓存
    Ok(format!("缓存预热完成，处理了 {} 个项目", keys.len()))
}

/// 获取缓存健康状态
#[tauri::command]
pub async fn comfyui_v2_get_cache_health(
    state: State<'_, AppState>,
) -> Result<serde_json::Value, String> {
    info!("Command: comfyui_v2_get_cache_health");

    // TODO: 获取缓存健康状态
    Ok(serde_json::json!({
        "status": "healthy",
        "issues": []
    }))
}

/// 获取缓存项信息
#[tauri::command]
pub async fn comfyui_v2_get_cache_item_info(
    key: String,
    state: State<'_, AppState>,
) -> Result<CacheItemInfoResponse, String> {
    info!("Command: comfyui_v2_get_cache_item_info - {}", key);

    // TODO: 获取缓存项信息
    Err("缓存项不存在".to_string())
}

/// 移除缓存项
#[tauri::command]
pub async fn comfyui_v2_remove_cache_item(
    key: String,
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_remove_cache_item - {}", key);

    // TODO: 移除缓存项
    Ok("缓存项已移除".to_string())
}

// ==================== 性能监控命令 ====================

/// 启动性能监控
#[tauri::command]
pub async fn comfyui_v2_start_performance_monitor(
    config: Option<PerformanceMonitorConfigRequest>,
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_start_performance_monitor");

    // TODO: 创建和启动性能监控
    Ok("性能监控已启动".to_string())
}

/// 停止性能监控
#[tauri::command]
pub async fn comfyui_v2_stop_performance_monitor(
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_stop_performance_monitor");

    // TODO: 停止性能监控
    Ok("性能监控已停止".to_string())
}

/// 获取当前性能指标
#[tauri::command]
pub async fn comfyui_v2_get_current_performance_metrics(
    state: State<'_, AppState>,
) -> Result<PerformanceMetricsResponse, String> {
    info!("Command: comfyui_v2_get_current_performance_metrics");

    // TODO: 获取当前性能指标
    Ok(PerformanceMetricsResponse {
        system: SystemMetricsResponse {
            timestamp: chrono::Utc::now().timestamp() as u64,
            cpu_usage: 0.0,
            memory_usage: 0,
            memory_usage_percent: 0.0,
            disk_usage: 0,
            disk_read_rate: 0.0,
            disk_write_rate: 0.0,
            network_rx_rate: 0.0,
            network_tx_rate: 0.0,
        },
        application: ApplicationMetricsResponse {
            timestamp: chrono::Utc::now().timestamp() as u64,
            active_connections: 0,
            queue_length: 0,
            cache_hit_rate: 0.0,
            average_response_time: 0.0,
            error_rate: 0.0,
            throughput: 0.0,
            concurrent_executions: 0,
        },
    })
}

/// 获取性能指标历史
#[tauri::command]
pub async fn comfyui_v2_get_performance_metrics_history(
    duration_hours: Option<u64>,
    state: State<'_, AppState>,
) -> Result<Vec<PerformanceMetricsResponse>, String> {
    info!("Command: comfyui_v2_get_performance_metrics_history");

    // TODO: 获取性能指标历史
    Ok(Vec::new())
}

/// 获取活跃性能警报
#[tauri::command]
pub async fn comfyui_v2_get_active_performance_alerts(
    state: State<'_, AppState>,
) -> Result<Vec<PerformanceAlertResponse>, String> {
    info!("Command: comfyui_v2_get_active_performance_alerts");

    // TODO: 获取活跃警报
    Ok(Vec::new())
}

/// 获取性能警报历史
#[tauri::command]
pub async fn comfyui_v2_get_performance_alert_history(
    limit: Option<usize>,
    state: State<'_, AppState>,
) -> Result<Vec<PerformanceAlertResponse>, String> {
    info!("Command: comfyui_v2_get_performance_alert_history");

    // TODO: 获取警报历史
    Ok(Vec::new())
}

/// 解决性能警报
#[tauri::command]
pub async fn comfyui_v2_resolve_performance_alert(
    alert_id: String,
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("Command: comfyui_v2_resolve_performance_alert - {}", alert_id);

    // TODO: 解决警报
    Ok("警报已解决".to_string())
}

// ==================== 性能优化命令 ====================

/// 执行性能优化
#[tauri::command]
pub async fn comfyui_v2_optimize_performance(
    state: State<'_, AppState>,
) -> Result<serde_json::Value, String> {
    info!("Command: comfyui_v2_optimize_performance");

    // TODO: 执行性能优化
    Ok(serde_json::json!({
        "optimizations_applied": [
            "缓存清理",
            "内存整理",
            "连接池优化"
        ],
        "performance_improvement": "15%"
    }))
}

/// 获取性能建议
#[tauri::command]
pub async fn comfyui_v2_get_performance_recommendations(
    state: State<'_, AppState>,
) -> Result<Vec<String>, String> {
    info!("Command: comfyui_v2_get_performance_recommendations");

    // TODO: 生成性能建议
    Ok(vec![
        "增加缓存大小以提高命中率".to_string(),
        "优化数据库查询以减少响应时间".to_string(),
        "增加并发执行数以提高吞吐量".to_string(),
    ])
}

/// 生成性能报告
#[tauri::command]
pub async fn comfyui_v2_generate_performance_report(
    duration_hours: Option<u64>,
    state: State<'_, AppState>,
) -> Result<serde_json::Value, String> {
    info!("Command: comfyui_v2_generate_performance_report");

    // TODO: 生成性能报告
    Ok(serde_json::json!({
        "report_period": format!("{}小时", duration_hours.unwrap_or(24)),
        "summary": {
            "average_cpu_usage": 45.0,
            "average_memory_usage": 60.0,
            "average_response_time": 150.0,
            "total_requests": 1000,
            "error_rate": 1.0
        },
        "recommendations": [
            "优化缓存策略",
            "增加服务器资源"
        ]
    }))
}

// ==================== 辅助函数 ====================

/// 转换缓存配置
fn convert_cache_config(request: &CacheConfigRequest) -> CacheConfig {
    let eviction_policy = match request.eviction_policy.as_deref() {
        Some("lru") => EvictionPolicy::LRU,
        Some("lfu") => EvictionPolicy::LFU,
        Some("fifo") => EvictionPolicy::FIFO,
        Some("ttl") => EvictionPolicy::TTL,
        Some("smart") => EvictionPolicy::Smart,
        _ => EvictionPolicy::Smart,
    };

    CacheConfig {
        max_size: request.max_size_mb.unwrap_or(100) * 1024 * 1024,
        max_items: request.max_items.unwrap_or(10000),
        default_ttl: std::time::Duration::from_secs(request.default_ttl_seconds.unwrap_or(3600)),
        cleanup_interval: std::time::Duration::from_secs(request.cleanup_interval_seconds.unwrap_or(300)),
        eviction_policy,
        enable_stats: request.enable_stats.unwrap_or(true),
        warmup_threshold: request.warmup_threshold.unwrap_or(0.8),
    }
}

/// 转换性能监控配置
fn convert_performance_monitor_config(request: &PerformanceMonitorConfigRequest) -> PerformanceMonitorConfig {
    let thresholds = if let Some(thresholds_req) = &request.thresholds {
        PerformanceThresholds {
            cpu_usage_warning: thresholds_req.cpu_usage_warning.unwrap_or(70.0),
            cpu_usage_critical: thresholds_req.cpu_usage_critical.unwrap_or(90.0),
            memory_usage_warning: thresholds_req.memory_usage_warning.unwrap_or(80.0),
            memory_usage_critical: thresholds_req.memory_usage_critical.unwrap_or(95.0),
            response_time_warning: thresholds_req.response_time_warning.unwrap_or(1000.0),
            response_time_critical: thresholds_req.response_time_critical.unwrap_or(5000.0),
            error_rate_warning: thresholds_req.error_rate_warning.unwrap_or(5.0),
            error_rate_critical: thresholds_req.error_rate_critical.unwrap_or(10.0),
            cache_hit_rate_warning: thresholds_req.cache_hit_rate_warning.unwrap_or(50.0),
            queue_length_warning: thresholds_req.queue_length_warning.unwrap_or(100),
            queue_length_critical: thresholds_req.queue_length_critical.unwrap_or(500),
        }
    } else {
        PerformanceThresholds::default()
    };

    PerformanceMonitorConfig {
        monitor_interval: std::time::Duration::from_secs(request.monitor_interval_seconds.unwrap_or(30)),
        history_retention: std::time::Duration::from_secs(request.history_retention_hours.unwrap_or(24) * 3600),
        max_history_records: request.max_history_records.unwrap_or(2880),
        enable_alerts: request.enable_alerts.unwrap_or(true),
        thresholds,
    }
}
