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iOS 测试 | iOS 自动化性能采集import

iOS 测试 | iOS 自动化性能采集import

前言

对于iOS总体生态是比较封闭的,相比Android没有像adb这种可以查看内存、cpu的命令.在日常做性能测试,需要借助xcode中instruments查看内存、cpu等数据.

但是借助instruments比较麻烦、又不能提供命令行.在持续集成中,很难时时的监控app的性能指标.并且现在app发版一般是2周左右,留给做专项测试的时间更少了,那么做核心场景性能测试,肯定是来不及的.

所以需要借助一些自动化工具来减轻手工采集性能指标的工作量.

性能采集项

app中基本性能采集项,内存、cpu、fps、电量等,因为自动化采集中手机设备是插着电脑充电的,所以不能采集电量数据.

已有工具

instruments是官方提供的,不能做到自动化采集

腾讯gt,需要在app中集成sdk,有一定的接入成本

第三sdk,类似腾讯gt需要在app集成,可能会有数据泄漏风险

脚本开发

上述的已有工具都不满足,在持续集成中做到自动化采集性能数据,期望的性能测试工具有一下几点:

方便接入

可生成性能报告

可持续化

数据收集精准

所以基于这几点,需要自己开发一套性能采集脚本.

使用官方提供的api做性能采集

获取内存、cpu等

import

/**

  • 获取内存

    */

  • (NSString *)get_memory {

    int64_t memoryUsageInByte = 0;

    task_vm_info_data_t vmInfo;

    mach_msg_type_number_t count = TASK_VM_INFO_COUNT;

    kern_return_t kernelReturn = task_info(mach_task_self(), TASK_VM_INFO, (task_info_t) &vmInfo, &count);

    if(kernelReturn == KERN_SUCCESS) {

    memoryUsageInByte = (int64_t) vmInfo.phys_footprint;
   NSLog(@"Memory in use (in bytes): %lld", memoryUsageInByte);
    } else { 
    NSLog(@"Error with task_info(): %s", mach_error_string(kernelReturn));

    }

    double mem = memoryUsageInByte / (1024.0 * 1024.0);

    NSString *memtostring ;

    memtostring = [NSString stringWithFormat:@"%.1lf",mem];

    return memtostring;

  • 获取cpu

  • (NSString *) get_cpu{

    kern_return_t kr;

    task_info_data_t tinfo;

    mach_msg_type_number_t task_info_count;

    task_info_count = TASK_INFO_MAX;

    kr = task_info(mach_task_self(), TASK_BASIC_INFO, (task_info_t)tinfo, &task_info_count);

    if (kr != KERN_SUCCESS) {

    return [ NSString stringWithFormat: @"%f" ,-1];

    task_basic_info_t basic_info;

    thread_array_t thread_list;

    mach_msg_type_number_t thread_count;

    thread_info_data_t thinfo;

    mach_msg_type_number_t thread_info_count;

    thread_basic_info_t basic_info_th;

    uint32_t stat_thread = 0; // Mach threads

    basic_info = (task_basic_info_t)tinfo;

    // get threads in the task

    kr = task_threads(mach_task_self(), &thread_list, &thread_count);

    return [ NSString stringWithFormat: @"%f" ,-1];
    if (thread_count > 0) 
    stat_thread += thread_count;

    long tot_sec = 0;

    long tot_usec = 0;

    float tot_cpu = 0;

    int j;

    for (j = 0; j < thread_count; j++)

    {

    thread_info_count = THREAD_INFO_MAX;
   kr = thread_info(thread_list[j], THREAD_BASIC_INFO,
                    (thread_info_t)thinfo, &thread_info_count);
   if (kr != KERN_SUCCESS) {
       tot_cpu = -1;
       //return -1;
   }

   basic_info_th = (thread_basic_info_t)thinfo;

   if (!(basic_info_th->flags & TH_FLAGS_IDLE)) {
       tot_sec = tot_sec + basic_info_th->user_time.seconds + basic_info_th->system_time.seconds;
       tot_usec = tot_usec + basic_info_th->user_time.microseconds + basic_info_th->system_time.microseconds;
       tot_cpu = tot_cpu + basic_info_th->cpu_usage / (float)TH_USAGE_SCALE * 100.0;
   }

    } // for each thread

    kr = vm_deallocate(mach_task_self(), (vm_offset_t)thread_list, thread_count * sizeof(thread_t));

    assert(kr == KERN_SUCCESS);

    NSString *tostring = nil ;

    tostring = [ NSString stringWithFormat: @"%.1f" ,tot_cpu];

    NSLog (@"performance cpu:%@",tostring);

    return tostring;

获取页面vc

上边收集了内存和cpu,还需要在收集数据的同时和页面对应上.这样就清楚了是当前页面的内存和cpu情况.

*获取当前vc

*/

  • (UIViewController *) get_vc {

    UIWindow *keyWindow = [UIApplication sharedApplication].keyWindow;

    __weak typeof(self) weakSelf = self;

    dispatch_async(dispatch_get_main_queue(), ^{

    if ([keyWindow.rootViewController isKindOfClass:[UITabBarController class]]) {
    UITabBarController *tab = (UITabBarController *)keyWindow.rootViewController;
    UINavigationController *nav = tab.childViewControllers[tab.selectedIndex];
    DDContainerController *content = [nav topViewController];
    weakSelf.vc = [content contentViewController];
}

    });

    return self.vc;

获取设备信息

/*

*获取设备名称

  • (NSString *) get_devicesName {

    NSString *devicesName = [UIDevice currentDevice].name; //设备名称

    NSLog(@"performance devicesName:%@", devicesName);

    return devicesName;

*获取系统版本

  • (NSString *) get_systemVersion{

    NSString *systemVersion = [UIDevice currentDevice].systemVersion; //系统版本

    NSLog(@"performance version:%@", systemVersion);

    return systemVersion;

*获取设备idf

  • (NSString *) get_idf {

    NSString *idf = [UIDevice currentDevice].identifierForVendor.UUIDString;

    NSLog(@"performance idf:%@", idf);

    return idf;

数据拼接

最终要把内存、cpu等数据拼接成字典的形式,方便输出查看

输出log日志的数据格式

{

"cpu": "0.4",
"fps": "60 FPS",
"version": "11.2",
"appname": "xxxxxx",
"battery": "-100.0",
"appversion": "5.0.4",
"time": "2018-09-07 11:45:24",
"memory": "141.9",
"devicesName": "xxxxxx",
"vcClass": "DDAlreadPaidTabListVC",
"idf": "8863F83E-70CB-43D5-B6C7-EAB85F3A2AAD"

开启子线程采集

开一个子线程定时采集数据

  • 性能采集子线程

  • (void) performancethread {

    NSThread *thread = [[NSThread alloc] initWithBlock:^{

    NSLog(@"performance   ======get performance======");

   [self get_fps];

   while (true) {
       DDPerformanceModel *model = [DDPerformanceModel new];
       model.time=[self get_time];
       model.appname=[self get_appname];
       model.appversion=[self get_appversion];
       model.idf =[self get_idf];
       model.devicesName =[self get_devicesName];
       model.version = [self get_systemVersion ];
       model.vcClass = NSStringFromClass([self get_vc].class);
       model.memory = [self get_memory];
       model.battery = [self get_battery];
       model.cpu = [self get_cpu];
       model.fps = self.percount;

       NSString *json = [model modelToJSONString];

// printf(" getperformance %srn", [json UTF8String]);

NSLog(@"getperformance model  %@", json);
        sleep(5);
    }
}];
[thread start];

NSLog(@"performance   ======continue mainblock======");

初始化性能采集

AppDelegate.m文件中didFinishLaunchingWithOptions方法中用户各种初始化操作,可以在第一行初始化性能采集,

这样app启动以后就可以定时采集数据

  • (BOOL)application:(UIApplication )application didFinishLaunchingWithOptions:(NSDictionary )launchOptions { 
    [[getperformance new] performancethread];//获取性能数据

}
    性能采集日志存储

一般来说日志存储都是写入到本地log日志,然后读取.但是有两个问题

需要读写文件代码,对于不熟悉oc的人来说比较难

因为是定时采集,文件IO操作频繁

所以不考虑存储本地log日志的方式,可以在代码中打印出数据,通过截获当前设备运行的日志获取数据.

模拟器可以使用xcrun simctl命令获取当前设备运行日志,

真机用libimobiledevice获取日志

xcrun simctl spawn booted log stream --level=debug | grep getperformance

输出log日志的数据格式,这块做了json美化,每歌几秒在控制台就打印一次

"cpu": "0.4",
"fps": "60 FPS",
"version": "11.2",
"appname": "xxxxxx",
"battery": "-100.0",
"appversion": "5.0.4",
"time": "2018-09-07 11:45:24",
"memory": "141.9",
"devicesName": "xxxxxx",
"vcClass": "DDAlreadPaidTabListVC",
"idf": "8863F83E-70CB-43D5-B6C7-EAB85F3A2AAD"

如果获取多次数据可以使用shell脚本把命令放到后台,定时写入到logpath中

nohup xcrun simctl spawn booted log stream --level=debug >${logpath} &

代码插入到工程中

因为在持续集成中,每次打取的代码都是不带性能测试代码,这些代码是单独写到文件中.在编译项目前,用shell把代码插入到工程中,这样打出来的包才能有采集性能数据功能.

scriptrootpath=${2}

AddFiles=${2}"/GetPerformance/performancefiles"

localDDPerformanceModelh=${scriptrootpath}"/GetPerformance/performancefiles/DDPerformanceModel.h"

localDDPerformanceModelm=${scriptrootpath}"/GetPerformance/performancefiles/DDPerformanceModel.m"

localgetperformanceh=${scriptrootpath}"/GetPerformance/performancefiles/getperformance.h"

localgetperformancem=${scriptrootpath}"/GetPerformance/performancefiles/getperformance.m"

addfiles(){

echo "删除${projectaddpath}中的原性能采集文件"

rm -rf ${DDPerformanceModelh}
rm -rf ${DDPerformanceModelm}
rm -rf ${getperformanceh}
rm -rf ${getperformancem}

echo "复制文件到${projectaddpath}路径"

cp  ${localDDPerformanceModelh} ${projectaddpath}
cp  ${localDDPerformanceModelm} ${projectaddpath}
cp  ${localgetperformanceh} ${projectaddpath}
cp  ${localgetperformancem} ${projectaddpath}

性能数据绘制

在手工和自动化使用插入性能测试代码的app,如果截获性能数据后,可以对数据做性能数据绘制.

用Higcharts或者echarts绘制性能走势图

iOS 测试 | iOS 自动化性能采集import

如何在持续集成中使用

monkey和UI自动化中使用,最终会发送一份性能报告.

Demo代码

已经把性能代码脱了主项目,可在Demo代码中编译,github地址:

https://github.com/xinxi1990/iOSPerformanceTest

最后

虽然iOS生态封闭,但是对于开发者和测试者还是有一些空间可以利用的.

iOS测试一直都是一个难点,难懂的oc语法和iOS整体框架.如果你开始慢慢接触iOS,会发现iOS测试也并不是那么难,需要一点耐心和一点专心而已.

（文章来源于霍格沃兹测试学院）

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