PS 參考博文,致謝 :https://www.jb51.net/article/186336.htm
一、獲取Jobs的當前狀態
server_1 = jenkins.Jenkins('http://%s:%s@192.168.37.134:8081/',username, password)
# 獲取狀態前先確認2019文件夾下的get_node_list任務是否存在:
server_1.assert_job_exists('2019/get_node_list')
# 獲取最后一次完成(不包括執行中的)的job任務執行number:
server_1.get_job_info('2019/get_node_list')['lastCompletedBuild']['number']
# 查看job狀態(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()
# 啟動jobs:
server_1.build_job('2019/get_node_list')
- 在job執行結束前使用server_1.get_build_console_output(‘2019/get_node_list',7).split('\n')[-2].split('😂[-1].strip()獲取的狀態信息不符合預期。
- job狀態應該還包括running,pending狀態,那么獲取job的當前狀態正確姿勢如下:
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'
#判斷job是否處於排隊狀態
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:
#先假設job處於running狀態,則running_number = nextBuildNumber -1 ,執行中的job的nextBuildNumber已經更新
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說明job執行完成
job_statue = server.get_build_info(job_name,running_number)['result']
except Exception as e:
#上面假設job處於running狀態的假設不成立,則job的最新number應該是['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:
- 可能還存在下圖的情況,這個時候獲取的是26的狀態,這時候也許你想獲取25的狀態,26是不小心誤操作觸發的,這個時候任務的最新狀態也許就無法滿足預期要求,或者是支持並發構建的job場景中就不適用了,關鍵還是需要結合應用場景制定對應的方案。
二、統計Jobs的執行成功率和平均執行時間
- 統計場景說明:
- 設計了一個統計job執行成功率的工程,主要從執行時間以及視圖兩個維度來划定需要統計的jobs及jobs對應的運行范圍。
- 在這里我在job里面添加了DAYS和VIEWS兩個參數:
- DAYS:默認統計最近一天的運行情況,如果執行的時候輸入的是0則代表統計所有的運行情況。
- VIEWS:對應的是視圖名稱,“2019-1,test”代表統計這兩個視圖的運行情況
-
執行成功后以表格形式列出統計的數據,表頭如下 :
-
列出了序號、視圖名稱、job名稱、job執行成功的平均執行時間、job執行成功次數、總的執行時間、job執行成功率
-
job執行演示:
-
執行構建時配置的參數如下 :
- job_data任務的主要執行內容如下:
-
執行成功后查看HTML_Report統計的數據如下:
-
get_job_data.py源碼如下:
#!/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 #統計任務的累計序號
for view in views.split(','):
#根據視圖名稱拼接視圖的URL,多個視圖間用','分隔
URL = ('http://%s:%s@192.168.37.134:8081/job/2019/view/%s/')%(username, password, view)
server = jenkins.Jenkins(URL)
#依次獲取當前view視圖中jobs的信息
for num in range(0,len(server.get_all_jobs())):
job_name = server.get_all_jobs()[num]['fullname']
#獲取最后一次完成構建的編號,用於划定時間范圍(如果需要的話)
try:
lastCompletedBuild_num = server.get_job_info(job_name)['lastCompletedBuild']['number']
except:
#假如job下面一個構建記錄都沒有則補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
#獲取最后一次完成構建的時間戳,單位由毫秒轉換為秒
lastCompletedBuild_timestamp = server.get_build_info(job_name,lastCompletedBuild_num)['timestamp'] / 1000
#將時間先由秒轉化為元組在轉化為字符串並取到天數
lastCompletedBuild_date = time.strftime("%Y%m%d",time.localtime(lastCompletedBuild_timestamp))
#print(lastCompletedBuild_date)
#根據變量days和lastCompletedBuild_timestamp計算出days天前的日期,若days為0則沒有日期限制,統計之前運行的所有任務
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)
#獲取days天內job的執行情況
success_count = 0 #job執行成功的總數
success_duration = 0 #執行成功的job執行時間之和,單位是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相同則終止此job數據的累計
if job_build_date == end_date:
number = number - 1
break
#累計執行成功的次數和duration執行時間
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
#計算執行成功的平均執行時間和成功率,打印關鍵信息
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
#將關心的數據按照一定的格式寫到/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執行效率統計')
caption('summary:')
with table(border="2",cellspacing="0"):
l = tr(bgcolor="#0000FF")
l += th('序號')
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()