import { RedisService } from '../utils/RedisService';
import { logger } from '../utils/logger';
import os from 'os';

/**
 * [CORE_EDGE_01] 边缘节点分布式状态同步服务
 * @description 实现多节点间的实时状态对齐与任务调度负载均衡
 */
export class EdgeSyncService {
  private static nodeId = os.hostname();
  private static localState: Record<string, any> = {
    status: 'online',
    activeTasks: 0,
    cpuLoad: 0,
    memoryUsage: 0
  };

  /**
   * 初始化同步机制
   */
  static async init() {
    logger.info(`[EdgeSync] Initializing Edge Node: ${this.nodeId}`);

    // 1. 订阅全局状态变更
    await RedisService.subscribeToStateSync(this.nodeId, (msg) => {
      logger.debug(`[EdgeSync] Received state update from ${msg.sourceNode}:`, msg.state);
      // 这里可以处理跨节点任务接管逻辑
    });

    // 2. 启动周期性心跳广播
    setInterval(async () => {
      await this.updateMetrics();
      await RedisService.broadcastStateChange(this.nodeId, this.localState);
    }, 5000); // 5秒广播一次
  }

  /**
   * 更新本地指标
   */
  private static async updateMetrics() {
    this.localState.cpuLoad = os.loadavg()[0];
    this.localState.memoryUsage = 1 - (os.freemem() / os.totalmem());
    // 实际应根据业务逻辑更新 activeTasks
  }

  /**
   * 模拟任务分发逻辑
   */
  static async distributeTask(taskId: string) {
    // 逻辑：检查集群中负载最低的节点，并将任务分配给它
    // 本地先简单记录
    this.localState.activeTasks += 1;
    logger.info(`[EdgeSync] Task ${taskId} assigned to local node ${this.nodeId}`);
  }
}
