import Bull from 'bull';
import { config } from '../config';

export class AsyncOperationService {
  private static queues: Record<string, Bull.Queue> = {};

  /**
   * 初始化队列
   * @param queueName 队列名称
   */
  private static initializeQueue(queueName: string): Bull.Queue {
    if (!this.queues[queueName]) {
      this.queues[queueName] = new Bull(queueName, {
        redis: {
          host: config.redis.host,
          port: config.redis.port,
          password: config.redis.password,
        },
      });
    }
    return this.queues[queueName];
  }

  /**
   * 分析异步操作性能
   * @param params 分析参数
   * @param traceInfo 追踪信息
   * @returns 异步操作分析结果
   */
  public static async analyzeAsyncOperations(
    params: {
      timeRange: { start: string; end: string };
      queueNames?: string[];
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    timestamp: string;
    timeRange: { start: string; end: string };
    totalJobs: number;
    completedJobs: number;
    failedJobs: number;
    averageProcessingTime: number;
    queueStats: Array<{
      queueName: string;
      totalJobs: number;
      completedJobs: number;
      failedJobs: number;
      pendingJobs: number;
      activeJobs: number;
      delayedJobs: number;
    }>;
    recommendations: string[];
  }> {
    try {
      const timestamp = new Date().toISOString();
      
      // 模拟异步操作分析数据
      const queueStats = [
        {
          queueName: 'productSync',
          totalJobs: 1000,
          completedJobs: 950,
          failedJobs: 20,
          pendingJobs: 20,
          activeJobs: 10,
          delayedJobs: 0,
        },
        {
          queueName: 'orderProcessing',
          totalJobs: 2000,
          completedJobs: 1800,
          failedJobs: 50,
          pendingJobs: 100,
          activeJobs: 50,
          delayedJobs: 0,
        },
        {
          queueName: 'notification',
          totalJobs: 5000,
          completedJobs: 4800,
          failedJobs: 100,
          pendingJobs: 50,
          activeJobs: 50,
          delayedJobs: 0,
        },
      ];
      
      const totalJobs = queueStats.reduce((sum, stat) => sum + stat.totalJobs, 0);
      const completedJobs = queueStats.reduce((sum, stat) => sum + stat.completedJobs, 0);
      const failedJobs = queueStats.reduce((sum, stat) => sum + stat.failedJobs, 0);
      const averageProcessingTime = Math.random() * 5000 + 1000;
      
      // 生成优化建议
      const recommendations = [
        '增加orderProcessing队列的并发处理能力',
        '优化notification队列的处理逻辑，减少处理时间',
        '实现失败重试机制，提高任务成功率',
        '监控队列长度，及时发现和解决队列积压问题',
        '考虑使用优先级队列，确保重要任务优先处理',
      ];
      
      return {
        timestamp,
        timeRange: params.timeRange,
        totalJobs,
        completedJobs,
        failedJobs,
        averageProcessingTime,
        queueStats,
        recommendations,
      };
    } catch (error) {
      console.error('Error analyzing async operations:', error);
      throw new Error('Failed to analyze async operations');
    }
  }

  /**
   * 优化队列配置
   * @param params 队列配置参数
   * @param traceInfo 追踪信息
   * @returns 队列配置优化结果
   */
  public static async optimizeQueueConfig(
    params: {
      queues: Array<{
        name: string;
        concurrency: number;
        retryAttempts: number;
        retryDelay: number;
      }>;
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    timestamp: string;
    optimizedQueues: number;
    results: Array<{
      queueName: string;
      oldConfig: {
        concurrency: number;
        retryAttempts: number;
        retryDelay: number;
      };
      newConfig: {
        concurrency: number;
        retryAttempts: number;
        retryDelay: number;
      };
      status: string;
    }>;
  }> {
    try {
      const timestamp = new Date().toISOString();
      const results = [];
      
      for (const queue of params.queues) {
        // 模拟队列配置优化
        const oldConfig = {
          concurrency: queue.concurrency,
          retryAttempts: queue.retryAttempts,
          retryDelay: queue.retryDelay,
        };
        
        // 根据队列类型调整配置
        let newConcurrency = queue.concurrency;
        let newRetryAttempts = queue.retryAttempts;
        let newRetryDelay = queue.retryDelay;
        
        if (queue.name === 'orderProcessing') {
          newConcurrency = Math.min(queue.concurrency * 2, 20);
          newRetryAttempts = 3;
          newRetryDelay = 1000;
        } else if (queue.name === 'notification') {
          newConcurrency = Math.min(queue.concurrency * 3, 30);
          newRetryAttempts = 2;
          newRetryDelay = 500;
        }
        
        results.push({
          queueName: queue.name,
          oldConfig,
          newConfig: {
            concurrency: newConcurrency,
            retryAttempts: newRetryAttempts,
            retryDelay: newRetryDelay,
          },
          status: 'success',
        });
      }
      
      return {
        timestamp,
        optimizedQueues: params.queues.length,
        results,
      };
    } catch (error) {
      console.error('Error optimizing queue config:', error);
      throw new Error('Failed to optimize queue config');
    }
  }

  /**
   * 处理队列积压
   * @param params 处理参数
   * @param traceInfo 追踪信息
   * @returns 处理结果
   */
  public static async processQueueBacklog(
    params: {
      queueName: string;
      batchSize: number;
      concurrency: number;
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    timestamp: string;
    queueName: string;
    processedJobs: number;
    remainingJobs: number;
    executionTime: number;
  }> {
    try {
      const timestamp = new Date().toISOString();
      
      // 模拟处理队列积压
      const processedJobs = Math.floor(Math.random() * 500) + 100;
      const remainingJobs = Math.floor(Math.random() * 100);
      const executionTime = Math.random() * 10000 + 5000;
      
      return {
        timestamp,
        queueName: params.queueName,
        processedJobs,
        remainingJobs,
        executionTime,
      };
    } catch (error) {
      console.error('Error processing queue backlog:', error);
      throw new Error('Failed to process queue backlog');
    }
  }

  /**
   * 监控队列状态
   * @param params 监控参数
   * @param traceInfo 追踪信息
   * @returns 队列状态
   */
  public static async monitorQueueStatus(
    params: {
      queueNames: string[];
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    timestamp: string;
    queueStatus: Array<{
      queueName: string;
      pendingJobs: number;
      activeJobs: number;
      completedJobs: number;
      failedJobs: number;
      delayedJobs: number;
      isHealthy: boolean;
    }>;
  }> {
    try {
      const timestamp = new Date().toISOString();
      const queueStatus = [];
      
      for (const queueName of params.queueNames) {
        // 模拟队列状态监控
        const pendingJobs = Math.floor(Math.random() * 100);
        const activeJobs = Math.floor(Math.random() * 20);
        const completedJobs = Math.floor(Math.random() * 1000);
        const failedJobs = Math.floor(Math.random() * 50);
        const delayedJobs = Math.floor(Math.random() * 10);
        const isHealthy = pendingJobs < 1000 && failedJobs < 100;
        
        queueStatus.push({
          queueName,
          pendingJobs,
          activeJobs,
          completedJobs,
          failedJobs,
          delayedJobs,
          isHealthy,
        });
      }
      
      return {
        timestamp,
        queueStatus,
      };
    } catch (error) {
      console.error('Error monitoring queue status:', error);
      throw new Error('Failed to monitor queue status');
    }
  }

  /**
   * 获取异步操作性能指标
   * @param params 指标参数
   * @param traceInfo 追踪信息
   * @returns 性能指标
   */
  public static async getAsyncOperationMetrics(
    params: {
      metrics: string[];
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    timestamp: string;
    metrics: Record<string, any>;
  }> {
    try {
      const timestamp = new Date().toISOString();
      const metrics: Record<string, any> = {};
      
      if (params.metrics.includes('averageJobProcessingTime')) {
        metrics.averageJobProcessingTime = (Math.random() * 5000 + 1000).toFixed(2);
      }
      if (params.metrics.includes('jobSuccessRate')) {
        metrics.jobSuccessRate = (Math.random() * 10 + 90).toFixed(2);
      }
      if (params.metrics.includes('queueBacklog')) {
        metrics.queueBacklog = Math.floor(Math.random() * 500) + 50;
      }
      if (params.metrics.includes('activeWorkers')) {
        metrics.activeWorkers = Math.floor(Math.random() * 20) + 5;
      }
      if (params.metrics.includes('maxQueueLength')) {
        metrics.maxQueueLength = Math.floor(Math.random() * 1000) + 100;
      }
      
      return {
        timestamp,
        metrics,
      };
    } catch (error) {
      console.error('Error getting async operation metrics:', error);
      throw new Error('Failed to get async operation metrics');
    }
  }
}
