【转】iOS 自动化性能采集

 

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 <mach/mach.h>

/**
 *  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);
    if (kr != KERN_SUCCESS) {
        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    %s\r\n", [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

 

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

原文： https://testerhome.com/topics/16064

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.

[腾讯 TMQ] iOS 电量测试实践

https://testerhome.com/topics/10666