以下为 HarmonyOS 5云测试平台百台真机调度实战方案,包含设备管理、任务分发和结果聚合的完整代码实现:
1. 系统架构设计
2. 设备集群管理
2.1 设备注册与心跳
// device-registry.ets
class DeviceManager {
private static devices: Map<string, Device> = new Map();
static async registerDevice(device: Device) {
this.devices.set(device.id, device);
await DB.insert('active_devices', {
id: device.id,
lastHeartbeat: Date.now(),
capabilities: device.capabilities
});
}
static async checkHeartbeat() {
const offlineDevices = [];
for (const [id, device] of this.devices) {
if (Date.now() - device.lastHeartbeat > 30000) {
offlineDevices.push(id);
this.devices.delete(id);
}
}
return offlineDevices;
}
}
2.2 设备筛选API
// device-selector.ets
function selectDevices(requirements: TestRequirements): Device[] {
return Array.from(DeviceManager.devices.values())
.filter(device =>
device.capabilities.screenSize >= requirements.minScreen &&
device.osVersion >= requirements.minOS &&
device.status === 'idle'
)
.slice(0, requirements.maxDevices);
}
3. 分布式任务调度
3.1 任务分片算法
// task-slicer.ets
function sliceTestSuite(tests: TestCase[], deviceCount: number): TestSlice[] {
const slices: TestSlice[] = [];
const testsPerDevice = Math.ceil(tests.length / deviceCount);
for (let i = 0; i < deviceCount; i++) {
slices.push({
deviceId: `device_${i}`,
tests: tests.slice(i * testsPerDevice, (i + 1) * testsPerDevice)
});
}
return slices;
}
3.2 任务队列管理
// task-queue.ets
class DistributedQueue {
private static queue: Task[] = [];
private static inProgress: Map<string, Task> = new Map();
static async enqueue(task: Task) {
this.queue.push(task);
await this.dispatch();
}
private static async dispatch() {
while (this.queue.length > 0) {
const idleDevices = DeviceManager.getIdleDevices();
if (idleDevices.length === 0) break;
const task = this.queue.shift()!;
const device = idleDevices[0];
this.inProgress.set(device.id, task);
await DeviceExecutor.run(device.id, task);
}
}
}
4. 大规模设备控制
4.1 批量操作协议
// batch-control.ets
class DeviceController {
static async parallelExecute(devices: string[], command: DeviceCommand) {
const results = await Promise.allSettled(
devices.map(id => this.sendCommand(id, command))
);
return results.map((result, i) => ({
device: devices[i],
status: result.status,
output: result.status === 'fulfilled' ? result.value : result.reason
}));
}
private static async sendCommand(id: string, cmd: DeviceCommand) {
const device = DeviceManager.getDevice(id);
return device.channel.execute(cmd);
}
}
4.2 设备状态同步
// state-sync.ets
function syncDeviceStates() {
const states = new Map<string, DeviceState>();
DeviceManager.devices.forEach((device, id) => {
states.set(id, {
battery: device.batteryLevel,
memory: device.usedMemory,
temperature: device.cpuTemp
});
});
return CloudAPI.reportStates(Array.from(states.entries()));
}
5. 测试执行引擎
5.1 设备端测试运行器
// device-runner.ets
class DeviceTestRunner {
static async run(testSlice: TestSlice): Promise<TestResult> {
const results: TestResult[] = [];
for (const test of testSlice.tests) {
const result = await this.executeSingleTest(test);
results.push(result);
if (result.status === 'failed' && testSlice.stopOnFailure) {
break;
}
}
return this.aggregateResults(results);
}
private static async executeSingleTest(test: TestCase) {
try {
await DeviceScreen.capture('before');
const output = await TestEngine.run(test);
await DeviceScreen.capture('after');
return {
testId: test.id,
status: 'passed',
output
};
} catch (error) {
return {
testId: test.id,
status: 'failed',
error: error.message
};
}
}
}
5.2 异常恢复机制
// failure-handler.ets
class RecoveryManager {
static async handleFailure(deviceId: string, error: Error) {
// 1. 尝试软重启
await DeviceController.softReset(deviceId);
// 2. 检查设备状态
const state = await DeviceDiagnostics.check(deviceId);
// 3. 必要时重新刷机
if (state.requiresFlash) {
await FlashTool.reflash(deviceId);
}
// 4. 重新加入集群
await DeviceManager.reregister(deviceId);
}
}
6. 结果聚合分析
6.1 分布式结果收集
// result-aggregator.ets
class ResultCollector {
private static results: Map<string, TestResult> = new Map();
static async collect(deviceId: string, result: TestResult) {
this.results.set(`${deviceId}-${result.testId}`, result);
if (this.isBatchComplete()) {
await this.generateReport();
}
}
private static isBatchComplete(): boolean {
const expected = DistributedQueue.totalTasks;
return this.results.size >= expected;
}
}
6.2 智能差异分析
// diff-analyzer.ets
function analyzeVisualDiffs(results: TestResult[]) {
const diffs: DiffResult[] = [];
for (const result of results) {
if (result.screenshots) {
const diff = ImageDiff.compare(
result.screenshots.before,
result.screenshots.after
);
if (diff.score > 0.1) {
diffs.push({
testId: result.testId,
device: result.deviceId,
diffScore: diff.score,
highlight: diff.highlightAreas
});
}
}
}
return diffs;
}
7. 性能优化策略
7.1 设备分组策略
// device-grouping.ets
function optimizeGrouping(devices: Device[]): DeviceGroup[] {
return [
...groupBy(devices, 'model'),
...groupBy(devices, 'osVersion'),
...groupBy(devices, 'screenSize')
].filter(g => g.devices.length > 5);
}
function groupBy(devices: Device[], key: keyof Device) {
const groups = new Map<string, Device[]>();
devices.forEach(device => {
const groupKey = String(device[key]);
if (!groups.has(groupKey)) {
groups.set(groupKey, []);
}
groups.get(groupKey)!.push(device);
});
return Array.from(groups.entries()).map(([key, devices]) => ({
key,
devices
}));
}
7.2 测试缓存机制
// test-cache.ets
class TestCache {
private static cache = new LRU<string, TestOutput>(1000);
static async get(test: TestCase): Promise<TestOutput | null> {
const key = this.getCacheKey(test);
if (this.cache.has(key)) {
return this.cache.get(key)!;
}
return null;
}
static async set(test: TestCase, output: TestOutput) {
const key = this.getCacheKey(test);
this.cache.set(key, output);
}
private static getCacheKey(test: TestCase): string {
return `${test.id}-${test.hash}`;
}
}
8. 安全控制机制
8.1 设备访问鉴权
// device-auth.ets
class DeviceAuthenticator {
static async verifyToken(deviceId: string, token: string) {
const validToken = await KeyVault.get(`device-${deviceId}-token`);
return crypto.timingSafeEqual(
Buffer.from(token),
Buffer.from(validToken)
);
}
}
8.2 数据加密传输
// secure-channel.ets
class SecureChannel {
static async encryptForDevice(deviceId: string, data: any) {
const pubKey = await DeviceKeyStore.getPublicKey(deviceId);
return crypto.publicEncrypt(
pubKey,
Buffer.from(JSON.stringify(data))
);
}
static async decryptFromDevice(deviceId: string, cipher: Buffer) {
const privKey = await KeyVault.get(`device-${deviceId}-priv`);
return JSON.parse(
crypto.privateDecrypt(privKey, cipher).toString()
);
}
}
9. 完整调度示例
9.1 创建测试任务
// create-job.ets
async function createMassiveTestJob() {
const tests = await TestLoader.loadAll();
const devices = selectDevices({
minScreen: 5,
minOS: '3.0',
maxDevices: 100
});
const job = await CloudTest.createJob({
name: 'Full Regression',
tests,
devices,
priority: 'high'
});
return job.id;
}
9.2 监控任务状态
// job-monitor.ets
class JobMonitor {
static async watch(jobId: string) {
const socket = new WebSocket(`wss://cloud-test/jobs/${jobId}/ws`);
socket.onmessage = (event) => {
const data = JSON.parse(event.data);
switch (data.type) {
case 'progress':
ProgressBar.update(data.completed, data.total);
break;
case 'deviceUpdate':
DevicePanel.refresh(data.device);
break;
case 'completed':
this.showFinalReport(data.results);
break;
}
};
}
}
10. 关键性能指标
| 指标 | 目标值 | 测量方法 |
|---|---|---|
| 任务分发速度 | <5秒/100设备 | 调度器日志 |
| 设备利用率 | ≥90% | 资源监控系统 |
| 测试吞吐量 | 5000用例/分钟 | 结果聚合服务 |
| 异常恢复时间 | <30秒/设备 | 故障诊断日志 |
11. 扩展能力
11.1 弹性伸缩
// auto-scaling.ets
class DeviceScaler {
static async scaleBasedOnQueue() {
const pending = DistributedQueue.pendingCount;
const active = DeviceManager.activeCount;
if (pending > active * 2) {
await CloudAPI.spawnDevices(Math.ceil(pending / 50));
} else if (active - pending > 20) {
await CloudAPI.releaseDevices(active - pending - 10);
}
}
}
11.2 混合设备测试
// hybrid-test.ets
function runHybridTests() {
const phoneTests = filterTests('phone');
const tabletTests = filterTests('tablet');
return Promise.all([
DeviceCluster.run(phoneTests, { type: 'phone' }),
DeviceCluster.run(tabletTests, { type: 'tablet' })
]);
}
12. 运维工具集成
12.1 设备诊断
// device-diagnosis.ets
class DiagnosticTool {
static async fullCheck(deviceId: string) {
return {
hardware: await HardwareTester.runAll(deviceId),
network: await NetworkProbe.test(deviceId),
storage: await StorageChecker.analyze(deviceId)
};
}
}
12.2 日志聚合
// log-aggregator.ets
class LogCollector {
static async collectAll(jobId: string) {
const devices = JobManager.getDevices(jobId);
const logs = await Promise.all(
devices.map(id => DeviceLogger.fetch(id))
);
return logs.reduce((acc, log) =>
({ ...acc, [log.deviceId]: log.content }), {}
);
}
}
通过本方案可实现:
- 百台设备 秒级任务分发
- 智能容错 自动恢复机制
- 毫秒级 结果实时聚合
- 军工级 安全管控