@yuantest/playwright - v1.2.1
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    类 Orchestrator

    Extended base manager with automatic save scheduling functionality. Useful for managers that need to persist data periodically.

    class MyDataManager extends ManagedManager {
      private data: Map<string, any> = new Map();

      protected async doInitialize(): Promise<void> {
        await this.loadData();
      }

      updateData(key: string, value: any): void {
        this.data.set(key, value);
        this.scheduleSave(() => this.saveData());
      }

      private async saveData(): Promise<void> {
        await storage.writeJSON('data.json', Object.fromEntries(this.data));
      }
    }

    层级 (查看层级一览)

    索引

    构造函数

    constructor

    属性

    _initialized initPromise log dirty saveDelayMs

    方法

    isInitialized ready scheduleSave setSaveDelay doInitialize initialize orchestrate optimizeSharding updateDurationHistory recordRunResults recordShardFeedback getCalibrationFactor getPredictionFeedback flush getAssignmentsForShard validateConfig getConfig createPlaywrightConfig

    构造函数

    属性

    受保护_initialized

    _initialized: boolean = false
    initPromise: Promise<void> | null = null
    log: ChildLogger = ...
    dirty: boolean = false
    saveDelayMs: number = 1000

    方法

    • Wait for the manager to be ready. Automatically calls initialize() if not already initialized.

      返回 Promise<void>

    • Schedule a save operation to be executed after a delay. Multiple calls will be debounced - only one save will occur.

      参数

      • saveFn: () => Promise<void>

        The async function to call for saving

      返回 void

    • Initialize the manager. This method is idempotent. If already initialized, returns immediately. If initialization is in progress, waits for it to complete.

      返回 Promise<void>

    • 增强版历史更新：同时维护方差、EMA、百分位数、极值 使用 Welford 在线算法计算方差，EMA 进行时间衰减

      参数

      • testFile: string
      • duration: number

      返回 void

    • 参数

      • results: { testId: string; duration: number }[]

      返回 void

    • 记录分片预测反馈并自动校准 对比每个分片的预测总耗时与实际总耗时，使用学习率调整校准因子

      参数

      • feedback: ShardPredictionFeedback

      返回 void

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    目录

    构造函数
    属性
    方法