HarmonyOS5 功耗自动化测试框架：夜间连续8小时压力测试+异常报警

黑马波哥
108 阅读3分钟

以下为 ​​HarmonyOS 5 功耗自动化测试框架​​，实现夜间8小时连续压力测试与异常报警的完整方案：

1. 系统架构

image.png

2. 核心测试模块

2.1 功耗压力测试引擎

// power-stress.ets
class PowerStressRunner {
  static async run8HourTest(): Promise<void> {
    const testCases = [
      { name: '5G负载', action: this.simulate5GTraffic },
      { name: '多任务切换', action: this.simulateTaskSwitching },
      { name: '后台服务', action: this.simulateBackgroundServices }
    ];
    
    await Promise.all([
      PowerMonitor.startContinuousSampling(),
      TemperatureMonitor.start(),
      this.executeCyclicTests(testCases, 8 * 3600 * 1000)
    ]);
  }

  private static async executeCyclicTests(tests: TestCase[], duration: number): Promise<void> {
    const start = Date.now();
    while (Date.now() - start < duration) {
      for (const test of tests) {
        await test.action();
        await sleep(test.interval || 30000); // 默认间隔30秒
      }
    }
  }
}

2.2 多维度数据采集

// data-collector.ets
class TelemetryCollector {
  static async collectDuring(duration: number): Promise<TestData> {
    return {
      power: await PowerMonitor.record(duration),
      temp: await TemperatureMonitor.record(duration),
      processes: await ProcessMonitor.track(duration),
      wakeups: await WakeupCounter.count(duration)
    };
  }
}

3. 异常检测系统

3.1 实时阈值检测

// threshold-checker.ets
class AnomalyDetector {
  private static readonly THRESHOLDS = {
    power: { max: 5000, spike: 200 }, // 5W峰值，200mW突变
    temp: { max: 45, delta: 5 }, // 45℃上限，5℃/min温升
    wakeups: { perMinute: 30 } // 每分钟唤醒≤30次
  };

  static async checkCurrentStatus(): Promise<Alert[]> {
    const [power, temp, wakeups] = await Promise.all([
      PowerMonitor.getNow(),
      TemperatureMonitor.getNow(),
      WakeupCounter.getLastMinute()
    ]);
    
    return [
      ...this.checkPower(power),
      ...this.checkTemperature(temp),
      ...this.checkWakeups(wakeups)
    ];
  }

  private static checkPower(p: PowerMetrics): Alert[] {
    const alerts = [];
    if (p.current > this.THRESHOLDS.power.max) {
      alerts.push({ level: 'critical', type: 'power_overload' });
    }
    if (p.derivative > this.THRESHOLDS.power.spike) {
      alerts.push({ level: 'warning', type: 'power_spike' });
    }
    return alerts;
  }
}

3.2 机器学习异常预测

// ml-anomaly.ets
class MLAnomalyPredictor {
  static async predictFailure(data: TestData): Promise<FailurePrediction> {
    const model = await ModelLoader.load('power_anomaly_v3');
    const features = this.extractFeatures(data);
    return model.predict(features);
  }

  private static extractFeatures(data: TestData): FeatureVector {
    return {
      powerVar: this.calculateVariance(data.power.samples),
      tempTrend: this.calculateTrend(data.temp.readings),
      wakeupRate: data.wakeups.total / (data.duration / 60000)
    };
  }
}

4. 分级报警机制

4.1 报警策略管理

// alert-manager.ets
class AlertManager {
  static async handleAlerts(alerts: Alert[]): Promise<void> {
    const critical = alerts.filter(a => a.level === 'critical');
    const warnings = alerts.filter(a => a.level === 'warning');
    
    if (critical.length > 0) {
      await this.triggerCriticalAlert(critical);
      await this.saveCrashReport();
    }
    
    if (warnings.length > 0) {
      await this.sendWarningNotification(warnings);
    }
  }

  private static async triggerCriticalAlert(alerts: Alert[]): Promise<void> {
    await Notifier.emergencyAlert({
      title: 'CRITICAL POWER ANOMALY',
      details: alerts.map(a => a.type).join(', ')
    });
    await PowerManager.enterSafeMode();
  }
}

4.2 报警历史分析

// alert-analyzer.ets
class AlertPatternAnalyzer {
  static async findRecurringAlerts(): Promise<RecurringAlert[]> {
    const history = await AlertLog.queryLastWeek();
    return this.groupAlerts(history)
      .filter(g => g.count > 3)
      .map(g => ({
        type: g.type,
        count: g.count,
        lastTime: g.lastTime
      }));
  }
}

5. 测试报告生成

5.1 自动化报告生成

// report-generator.ets
class TestReportGenerator {
  static async generate(testId: string): Promise<Report> {
    const [data, alerts] = await Promise.all([
      TestDataLoader.load(testId),
      AlertLog.getByTest(testId)
    ]);
    
    return {
      summary: this.buildSummary(data),
      details: {
        power: this.analyzePower(data.power),
        temp: this.analyzeTemp(data.temp)
      },
      anomalies: alerts
    };
  }
}

5.2 可视化报告组件

// report-visualizer.ets
@Component
struct PowerReportViewer {
  @Prop report: PowerTestReport;
  
  build() {
    Grid() {
      GridItem() {
        LineChart({
          title: '功耗趋势',
          series: [{
            data: this.report.power.samples.map((v, i) => ({ x: i, y: v }))
          }]
        })
      }
      GridItem() {
        Heatmap({
          title: '温度分布',
          data: this.report.temp.readings.map((t, i) => ({
            x: Math.floor(i / 60),
            y: i % 60,
            value: t
          }))
        })
      }
    }
  }
}

6. 测试环境管理

6.1 设备状态初始化

// test-env.ets
class TestEnvironment {
  static async prepare(): Promise<void> {
    await this.cleanPreviousLogs();
    await this.setPerformanceMode('high');
    await this.disableSleepMode();
    await this.startMonitoringServices();
  }

  private static async disableSleepMode(): Promise<void> {
    await PowerManager.setPolicy({
      screenOffTimeout: 'never',
      sleepMode: 'disabled'
    });
  }
}

6.2 测试后恢复

// env-restore.ets
class EnvironmentRestorer {
  static async restoreAfterTest(): Promise<void> {
    await PowerManager.setPolicy({
      screenOffTimeout: '2m',
      sleepMode: 'default'
    });
    await ProcessManager.killAllTestProcesses();
    await NetworkManager.resetToDefault();
  }
}

7. 关键性能指标

指标阈值测量方法
平均功耗≤3.5W全程采样取均值
最高温度≤45℃红外+传感器复合
唤醒次数/小时≤300系统事件计数器
内存泄漏≤5MB/小时内存差值法

8. 扩展测试场景

8.1 网络切换压力

// network-stress.ets
class NetworkStressTest {
  static async run(duration: number): Promise<void> {
    const networks = ['5G', 'WiFi6', '4G'];
    const start = Date.now();
    
    while (Date.now() - start < duration) {
      for (const net of networks) {
        await NetworkManager.switchTo(net);
        await this.runSpeedTest();
        await sleep(30000); // 每个网络测试30秒
      }
    }
  }
}

8.2 混合负载模拟

// mixed-load.ets
class MixedLoadSimulator {
  static async simulateUserBehavior(): Promise<void> {
    await Parallel.execute([
      this.simulateVideoPlayback,
      this.simulateAppSwitching,
      this.simulateBackgroundSync
    ]);
  }
}

9. 生产环境集成

9.1 定时任务配置

// configs/nightly-test.json
{
  "schedule": "0 2 * * *", // 每天凌晨2点
  "duration": "8h",
  "tests": [
    "5G_stress",
    "memory_leak",
    "wakelock"
  ],
  "alert_rules": {
    "power": { "max": 5000 },
    "temperature": { "max": 45 }
  }
}

9.2 CI/CD流水线

# .github/workflows/nightly-power-test.yml
jobs:
  power-test:
    runs-on: harmonyos-testbed
    timeout-minutes: 480 # 8小时超时
    steps:
      - uses: harmonyos/power-test-action@v1
        with:
          duration: 8h
          test-profile: extreme
      - name: Upload Report
        uses: actions/upload-artifact@v3
        with:
          name: power-report
          path: report.html

10. 完整测试示例

10.1 主测试流程

// main-test.ets
async function runNightlyTest(): Promise<TestReport> {
  try {
    // 1. 初始化环境
    await TestEnvironment.prepare();
    
    // 2. 启动监控
    const monitors = await MonitoringSystem.startAll();
    
    // 3. 执行测试
    await PowerStressRunner.run8HourTest();
    
    // 4. 生成报告
    return await TestReportGenerator.generate();
  } finally {
    // 5. 环境恢复
    await EnvironmentRestorer.restore();
    await MonitoringSystem.stopAll();
  }
}

10.2 异常处理流程

// error-handler.ets
class NightlyTestErrorHandler {
  static async handleTestError(error: Error): Promise<void> {
    await CrashReporter.save(error);
    await AlertManager.emit({
      level: 'critical',
      type: 'test_failure',
      details: error.stack
    });
    
    if (await this.shouldAbort(error)) {
      await PowerManager.safeShutdown();
    }
  }
}

通过本方案可实现：

  1. ​​8小时无人值守​​ 压力测试
  2. ​​三级​​ 异常实时报警（Warning/Critical/Emergency）
  3. ​​多维度​​ 功耗-温度-性能联合分析
  4. ​​智能预测​​ 潜在故障
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