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: 2020/02/12 import sys import jenkins import time from 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 + 1 def 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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