1 获取jobs的当前任务状态

server_1 = jenkins.Jenkins('http://%s:%s@192.168.37.134:8081/',username, password)

获取状态前先确认2019文件夹下的get_node_list任务是否存在：

server_1.assert_job_exists('2019/get_node_list')

获取最后一次完成（不包括执行中的）的job任务执行number：

server_1.get_job_info('2019/get_node_list')['lastCompletedBuild']['number']

查看job状态(SUCCESS/FAILURE/ABORTED)：

server_1.get_build_info('2019/get_node_list',3)['result']server_1.get_build_console_output('2019/get_node_list',7).split('\n')[-2].split(':')[-1].strip()

启动jobs：

server_1.build_job('2019/get_node_list')

在job执行结束前使用server_1.get_build_console_output(‘2019/get_node_list’,7).split(’\n’)[-2].split(’:’)[-1].strip()获取的状态信息不符合预期。

job状态应该还包括running，pending状态，那么获取job的当前状态正确姿势如下：

job_name = '2019/get_node_list'def get_jobs_status(job_name,server):    try:        server.assert_job_exists(job_name)    except Exception as e:        print(e)        job_statue = '1'    #判断job是否处于排队状态    inQueue = server.get_job_info(job_name)['inQueue']    if str(inQueue) == 'True':        job_statue = 'pending'        running_number = server.get_job_info(job_name)['nextBuildNumber']       else:        #先假设job处于running状态，则running_number = nextBuildNumber -1 ,执行中的job的nextBuildNumber已经更新        running_number = server.get_job_info(job_name)['nextBuildNumber'] -1        try:            running_status = server.get_build_info(job_name,running_number)['building']            if str(running_status) == 'True':                job_statue = 'running'            else:                #若running_status不是True说明job执行完成                job_statue = server.get_build_info(job_name,running_number)['result']        except Exception as e:            #上面假设job处于running状态的假设不成立，则job的最新number应该是['lastCompletedBuild']['number']            lastCompletedBuild_number = server.get_job_info(job_name)['lastCompletedBuild']['number']            job_statue = server.get_build_info(job_name,lastCompletedBuild_number)['result']    return job_statue,running_number

注意：

可能还存在下图的情况，这个时候获取的是26的状态，这时候也许你想获取25的状态，26是不小心误操作触发的，这个时候任务的最新状态也许就无法满足预期要求，或者是支持并发构建的job场景中就不适用了，关键还是需要结合应用场景制定对应的方案。

2 统计jobs的执行成功率和平均执行时间

统计场景说明：

设计了一个统计job执行成功率的工程，主要从执行时间以及视图两个维度来划定需要统计的jobs及jobs对应的运行范围。

在这里我在job里面添加了DAYS和VIEWS两个参数：

**DAYS：**默认统计最近一天的运行情况，如果执行的时候输入的是0则代表统计所有的运行情况。

**VIEWS：**对应的是视图名称，“2019-1,test”代表统计这两个视图的运行情况

对应的视图如下：

执行成功后以表格形式列出统计的数据，表头如下

列出了序号、视图名称、job名称、job执行成功的平均执行时间、job执行成功次数、总的执行时间、job执行成功率

job执行演示：

执行构建时配置的参数如下

job_data任务的主要执行内容如下：

执行成功后查看HTML_Report统计的数据如下：

get_job_data.py源码如下：

#!/usr/bin/env python# -*- coding:utf-8 -*-# author: Sudley# ctime: 2020/02/12import sysimport jenkinsimport timefrom dominate.tags import *def Count_the_success_rate_of_jobs(days,views):    username = 'sudley'    password = '******'    with open('//home/Sudley/python-jenkins/get_job_data.txt','w') as f:        print('create a new file //home/Sudley/python-jenkins/get_job_data.txt')    serial_number = 0    #统计任务的累计序号    for view in views.split(','):        #根据视图名称拼接视图的URL，多个视图间用','分隔        URL = ('http://%s:%s@192.168.37.134:8081/job/2019/view/%s/')%(username, password, view)        server = jenkins.Jenkins(URL)        #依次获取当前view视图中jobs的信息        for num in range(0,len(server.get_all_jobs())):            job_name = server.get_all_jobs()[num]['fullname']            #获取最后一次完成构建的编号，用于划定时间范围（如果需要的话）            try:                lastCompletedBuild_num = server.get_job_info(job_name)['lastCompletedBuild']['number']            except:                #假如job下面一个构建记录都没有则补0                print('There is not build number in',job_name)                average_success_duration = success_count = all_count = success_rate = 0                line = str(serial_number) + ' ' + view + ' ' + job_name + ' ' + str(int(average_success_duration)) + ' ' + str(success_count) + ' ' + str(all_count) + ' ' + str(success_rate) + '%'                with open('//home/Sudley/python-jenkins/get_job_data.txt','a') as f:                    f.write(str(line))                    f.write('\n')                serial_number = serial_number + 1                continue            #获取最后一次完成构建的时间戳，单位由毫秒转换为秒            lastCompletedBuild_timestamp = server.get_build_info(job_name,lastCompletedBuild_num)['timestamp'] / 1000            #将时间先由秒转化为元组在转化为字符串并取到天数            lastCompletedBuild_date = time.strftime("%Y%m%d",time.localtime(lastCompletedBuild_timestamp))            #print(lastCompletedBuild_date)            #根据变量days和lastCompletedBuild_timestamp计算出days天前的日期,若days为0则没有日期限制，统计之前运行的所有任务            if str(days) == '0':                end_date = 'false'            else:                end_timestamp = float(lastCompletedBuild_timestamp) - float(days) * 24 * 3600                end_date = time.strftime("%Y%m%d",time.localtime(end_timestamp))            #print(end_date)            #获取days天内job的执行情况            success_count = 0               #job执行成功的总数            success_duration = 0            #执行成功的job执行时间之和，单位是s            for number in range(0,len(server.get_job_info(job_name)['builds'])):                job_build_number = server.get_job_info(job_name)['builds'][number]['number']                job_build_timestamp = server.get_build_info(job_name,job_build_number)['timestamp'] / 1000                job_build_date = time.strftime("%Y%m%d",time.localtime(job_build_timestamp))                #如果日期和end_date相同则终止此job数据的累计                if job_build_date == end_date:                    number = number - 1                    break                #累计执行成功的次数和duration执行时间                job_build_result = server.get_build_info(job_name,job_build_number)['result']                if str(job_build_result) == 'SUCCESS':                    job_build_duration = server.get_build_info(job_name,job_build_number)['duration']                    success_duration = success_duration + job_build_duration / 1000                    success_count = success_count + 1            #计算执行成功的平均执行时间和成功率，打印关键信息            all_count = number + 1            success_rate = success_count * 1.0 / all_count * 100            if success_count == 0:                average_success_duration = success_duration            else:                average_success_duration = success_duration * 1.0 / success_count            #将关心的数据按照一定的格式写到/home/Sudley/python-jenkins/get_job_data.txt文件中            line = str(serial_number) + ' ' + view + ' ' + job_name + ' ' + str(int(average_success_duration)) + ' ' + str(success_count) + ' ' + str(all_count) + ' ' + str(round(success_rate,2)) + '%'            with open('//home/Sudley/python-jenkins/get_job_data.txt','a') as f:                f.write(str(line))                f.write('\n')            serial_number = serial_number + 1def txt2xml():    h = html()    with h.add(body()):        h2('job执行效率统计')        caption('summary:')        with table(border="2",cellspacing="0"):            l = tr(bgcolor="#0000FF")            l += th('序号')            l += th('view_name')            l += th('job_name')            l += th('average_success_duration')            l += th('success_count')            l += th('all_count')            l += th('success_rate')            file=open('/home/Sudley/python-jenkins/get_job_data.txt')            for line in file.readlines():                curLine=line.strip().split(" ")                l = tr()                for i in range(0,len(curLine)):                    l += td(curLine[i])    with open('/home/Sudley/python-jenkins/get_job_data.html','w') as f:        f.write(h.render())if __name__ == '__main__' :    days = sys.argv[1]    views = sys.argv[2]    Count_the_success_rate_of_jobs(days,views)    txt2xml()

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