Ngrinder脚本开发各细节锦集(groovy)

南楼画角 提交于 2019-11-30 15:51:13

Ngrinder脚本开发各细节锦集(groovy)

1、生成随机字符串(import org.apache.commons.lang.RandomStringUtils)
    数字:RandomStringUtils.randomNumeric(length);
    字母:RandomStringUtils.randomAlphabetic(length);
    字母加数字:RandomStringUtils.randomAlphanumeric(length);
    所有ASCCII字符:RandomStringUtils.randomAscii(length);
    自定义混合字符:RandomStringUtils.randomAscii(length, string);
 
2、生成随机数字:(import java.util.concurrent.ThreadLocalRandom;)
    数字:int random_number = ThreadLocalRandom.current().nextInt(min_num, max_num);
 
3、获取项目数据文件路径
    common项目:"/resources/account.txt"
    maven项目:Thread.currentThread().getContextClassLoader().getResource("/account.txt").getPath();
    maven项目获取文件内容:ReflectionUtils.getCallingClass(0).getResourceAsStream("/account.txt").getText("UTF-8")
4、读取文件:
    txt每行单数据:   String[] file_arrary = new File("/resources/account.txt") as String[];
                    String file_data = file_arrary[arrary_index];
                                 
    txt每行双数据:   String[] file_arrary = new File("/resources/account.txt") as String[];
                    String data_one = file_arrary[arrary_index].split(",")[0];
                    String data_two = file_arrary[arrary_index].split(",")[1];
    另一种方法:     
                    List<String> reqDataArrList = new File(dataFilePath).readLines()
                    String data_one = reqDataArrList.get(arrary_index).split(",")[0];
                    String data_two = reqDataArrList.get(arrary_index).split(",")[1];
                     
    txt每行多数据可参考双数据方法。也可以参考json方式存储:
                                BufferedReader txt_content=new BufferedReader(new FileReader(new File("/resources/account.txt")))
                                data_json = new JSONObject()
                                String text_line = ""
                                while(( text_line=txt_content.readLine())!=null){
                                    data_json.put(text_line.split(",")[0],text_line.split(",")[1])
                                }
                                String data_one = data_json.keys[0]
                                String data_two = data_json.getString(data_one)
5、写入文件:
    覆盖写入:   def write = new File(file_path, file_name).newPrintWriter();
                        write.write(write_text);
                        write.flush();
                        write.close()
                         
    追加写入:   def write = new File(file_path, file_name).newPrintWriter();
                        write.append(write_text);
                        write.flush();
                        write.close()
                         
6、json文件的数据处理(import org.ngrinder.recorder.RecorderUtils)
    json文件读取:   String json_str = new File(file_path).getText("UTF-8")
                                def json_object = RecorderUtils.parseRequestToJson(json_str)
                                 
                                长度:json_object.length()
                                关键字:json_object.keys()
                                添加元素:json_object.put(name, value)
                                修改元素:json_object.put(name, value)
                                删除元素:json_object.remove(name, value)
                                获取对应value:json_object.getString(name)
                                 
7、字符串的处理
    字符串截取:String new_str = old_str[0..3]
    字符串替换:String string = str.replace("old","new")
    字符串统计:int count = string.count("char")
    字符串转化:int int_num = Integer.parseInt(string)
 
1、设置多个请求事务(即多个test方法)
    1)设置多个静态Gtest对象:
        public static GTest test1
        public static GTest test2
    2)实例化多个Gtest对象:
        test1 = new GTest(1, "test1");
        test2 = new GTest(2, "test2");
    3)监听多个test请求:
        test1.record(this, "test1")
        test2.record(this, "test2")
    4)定义多个test方法:
        public void test1(){
            grinder.logger.info("---ones: {}---", grinder.threadNumber+1)
        }
        public void test2(){
            grinder.logger.info("---twos: {}---", grinder.threadNumber+1)
        }
     
2、Ngrinder定义请求参数集:
    add方法:  List<NVPair> paramList = new ArrayList<NVPair>();
                        paramList.add(new NVPair("name", "value"));
                        paramList.add(new NVPair("name", "value"));
                        params = paramList.toArray();
                         
    new方法:  params = [new NVPair("name", "value"), new NVPair("name", "value")];
                                 
3、Ngrinder处理日志:
    日志级别(三种常见): grinder.logger.info("----before process.----");
                                            grinder.logger.warn("----before process.----");
                                            grinder.logger.error("----before process.----");
                                             
    日志限定(仅打印error级别) :
                                1)导入依赖包
                                import ch.qos.logback.classic.Level;
                                import org.slf4j.LoggerFactory;
                                2)设定级别
                                @BeforeThread
                                    LoggerFactory.getLogger("worker").setLevel(Level.ERROR);
                                3)设置打印语句
                                @test
                                    grinder.logger.error("----error.----");
    日志输出(输出所有进程日志):将每个agent的.ngrinder_agent/agent.conf中一项修改为agent.all_logs=true
     
    日志打印:打印变量:grinder.logger.error("{},{}",variable1,variable2); // 换行或缩进可在""中加\n或\t
     
4、Ngrinder的cookie处理
    1) 登录产生cookie
        @BeforeThread
            login_get_cookie(); // 调用登录方法
            cookies = CookieModule.listAllCookies(HTTPPluginControl.getThreadHTTPClientContext()); // 配置cookie管理器
    2) 读取控制器中cookie
        @Before
            cookies.each { CookieModule.addCookie(it, HTTPPluginControl.getThreadHTTPClientContext()) }
 
5、Ngrinder请求方式:
    1)通过url加参数直接访问:
        post方法: HTTPResponse result = request.POST("http://192.168.2.135:8080/blogs", params, headers)
        get方法:  HTTPResponse result = request.GET("http://192.168.2.135:8080/blogs", params, headers)
        参数是json:设置请求头参数{"Content-Type": "application/json"}
    2)通过参数化所有请求数据为json对象(导入import org.ngrinder.recorder.RecorderUtils)
                        HTTPResponse result = RecorderUtils.sendBy(request, req_data_json)
                        HTTPResponse result = RecorderUtils.sendBy(request, req_data_json)
                         
6、Ngringer的test运行次数设定(将总运行测试次数按百分比例分配到相应test):
    1)引用依赖包:
        import net.grinder.scriptengine.groovy.junit.annotation.RunRate
    2)设置运行次数百分比(所有test设定的比例值不够100,那不满的部分不运行,比如设定总比80,只运行这80部分):
        @RunRate(50)  // 数字代表百分比
        @Test
        public void test1(){}
        @RunRate(50)  // 数字代表百分比
        @Test
        public void test2(){}
         
7、Ngringer获取设置的加压机总数、进程总数、线程总数等信息:
    int tota_agents = Integer.parseInt(grinder.getProperties().get("grinder.agents").toString()) // 设置的总加压机数
    int total_processes = Integer.parseInt(grinder.properties().get("grinder.processes").toString()) // 设置的总进程数
    int total_threads = Integer.parseInt(grinder.properties().get("grinder.threads").toString()) // 设置的总线程数
    int total_runs = Integer.parseInt(grinder.properties().get("grinder.runs").toString()) // 设置的总运行次数(若设置的是运行时长,则得到0)
                                         
8、Ngringer获取当前运行的加压机编号、进程编号、线程编号等信息(都从0递增):
    int agent_number = grinder.agentNumber // 当前运行的加压机编号
    int process_number = grinder.processNumber // 当前运行的进程编号
    int thread_number = grinder.threadNumber // 当前运行的线程编号
    int run_number = grinder.runNumber // 当前运行的运行次数编号
     
9、Ngringer获取唯一递增值方法(从1递增,不重复):
    // 传递接口参数runNumber(即def runNumber = grinder.runNumber)
    private int getIncrementId(int runNumber){
        // 获取压力机总数、进程总数、线程总数
        int totalAgents = Integer.parseInt(grinder.getProperties().get("grinder.agents").toString())
        int totalProcess = Integer.parseInt(grinder.getProperties().get("grinder.processes").toString())
        int totalThreads = Integer.parseInt(grinder.getProperties().get("grinder.threads").toString())
         
        // 获取当前压力机数、进程数、线程数
        int agentNum = grinder.agentNumber
        int processNum = grinder.processNumber
        int threadNum = grinder.threadNumber
         
        // 获取唯一递增数id
        int incrementId = agentNum * totalProcess * totalThreads + processNum * totalThreads + threadNum + totalAgents * totalProcess * totalThreads * runNumber
        return incrementId
    }
10、Ngringer根据唯一递增值获取参数化文件中的唯一行号:
    1)需要设置静态变量:private enum WhenOutOfValues { AbortVuser, ContinueInCycleManner, ContinueWithLastValue }
    2)传递接口参数fileDataList(即def fileDataList = new File(dataFilePath).readLines())
    private int getLineNum(def fileDataList) {
        // 获取当前运行数、数据读取行数、数据最大行数
        int counter = getIncrementId(grinder.runNumber)
        int lineNum = counter + 1
        int maxLineNum = fileDataList.size() - 1
         
        // 读取最大值的判断处理
        WhenOutOfValues outHandler = WhenOutOfValues.AbortVuser
        if (lineNum > maxLineNum) {
             if(outHandler.equals(WhenOutOfValues.AbortVuser)) {
                lineNum = maxLineNum //grinder.stopThisWorkerThread()
             } else if (outHandler.equals(WhenOutOfValues.ContinueInCycleManner)) {
                lineNum = (lineNum - 1) % maxLineNum + 1
             } else if (outHandler.equals(WhenOutOfValues.ContinueWithLastValue)) {
                 lineNum = maxLineNum
             }
        }
        return lineNum
    }
11、Ngrinder日志输出配置的测试信息:(import java.text.SimpleDateFormat)
    public static String getTestInfo(){
        String time_string = ""
        // 获取压测时设置的进程总数、线程总数、运行次数并在log中打印
        int all_process = grinder.getProperties().getInt("grinder.processes", 1) // 设置的总进程数
        int all_threads = grinder.getProperties().getInt("grinder.threads", 1)  // 设置的总线程数
        int all_runs = grinder.getProperties().getInt("grinder.runs", 1)  // 设置的总运行次数(若设置的是运行时长,则得到0)
        int all_duration = grinder.getProperties().getLong("grinder.duration", 1) // 设置的总运行时长(若设置的是运行次数,则得到0)
        // 格式化时间毫秒输出(输出格式00:00:00)
        SimpleDateFormat formatter = new SimpleDateFormat("HH:mm:ss")
        formatter.setTimeZone(TimeZone.getTimeZone("GMT+00:00"))
        String all_duration_str = formatter.format(all_duration)
        if (all_duration_str.equals("00:00:00"))
            time_string = "Test information: the processes is "+all_process+", the threads is "+all_threads+", the run count is "+all_runs+"."
        else
            time_string = "Test information: the processes is "+all_process+", the threads is "+all_threads+", the run time is "+all_duration_str+"."
        return time_string
    }
12、Ngrinder打印所有的配置信息
        String property = grinder.getProperties();
        grinder.logger.info("------- {}", property) ;
13、Ngrinder获取请求返回值:
        HTTPResponse result = request.POST("http://192.168.2.135:8080/blogs", params, headers)
        返回的文本:grinder.logger.info("----{}----", result.getText()) // 或者result.text
        返回的状态码:grinder.logger.info("----{}----", result.getStatusCode()) // 或者result.statusCode
        返回的url:grinder.logger.info("----{}----", result.getEffectiveURI())
        返回的请求头所有参数:grinder.logger.info("---\n{}---", result)
        返回的请求头某参数:grinder.logger.info("----{}---- ", result.getHeader("Content-type"))
         
14、Ngrinder返回值的匹配:
匹配状态码:assertThat(result.getStatusCode(), is(200))
匹配包含文本:assertThat(result.getText(), containsString("success"))
         
15、Ngrinder获取所有虚拟用户数:
public int getVusers() {
    int totalAgents = Integer.parseInt(grinder.getProperties().get("grinder.agents").toString());
    int totalProcesses = Integer.parseInt(grinder.getProperties().get("grinder.processes").toString());
    int totalThreads = Integer.parseInt(grinder.getProperties().get("grinder.threads").toString());
    int vusers = totalAgents * totalProcesses * totalThreads;
    return vusers;
}
16、Ngrinder的断言和error日志输出
if (result.statusCode == 301 || result.statusCode == 302) {
        grinder.logger.error("Possible error: {} expected: <200> but was: <{}>.",result.getEffectiveURI(),result.statusCode);
    } else {
        assertEquals((String)result.getEffectiveURI(), result.statusCode, 200)
        assertThat((String)result.getEffectiveURI(), result.statusCode, is(200))
    }

  

参考文档:

  1、https://testerhome.com/topics/17585?locale=zh-CN

  2、https://my.oschina.net/aub/blog/858483

  3、https://blog.csdn.net/u013512987/article/details/81776845

  4、https://www.cnblogs.com/zjsupermanblog/archive/2017/08/18/7390980.html

  5、https://www.cnblogs.com/lindows/p/10517839.html

  6、https://www.cnblogs.com/zhongyehai/p/10386478.html

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