pytest学习系列_pytest-xdist插件之分布式执行
一、前言
在我们进行接口自动化的时候,用例往往有成百上千上万条用例,串行执行时间在分钟或者是小时级别。虽然能满足我们一般的回归性测试需求,但是还是对于企业级别的项目来说,还是显得有些力不从心。那么有没有一种比较好的解决方案呢,pytest的pytest-xdist插件可以很好解决我们的困惑
二、pytest-xdist的安装
pip install pytest-xdist
三、测试实践步骤
1、项目结构
2、测试代码示例
#!/usr/bin/python3 # -*- coding: UTF-8 -*- """ @author:durant.zeng @Description:描述 @file:test_xdist.py @time:2020/12/09 """ import requests def test_tmall_001(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_002(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_003(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_004(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_005(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_006(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_007(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_008(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_001(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_009(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_010(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_011(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_012(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_013(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_014(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_015(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_016(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_017(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_018(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_019(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_020(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds()) def test_tmall_021(): r = requests.get(url="https://www.tmall.com") print(r.elapsed.total_seconds())
3、正常执行的耗时
pytest -v -s
xdistTest\test_xdist_002.py::test_baidu_020 ✓ 98% ████ █████▉0.138376 xdistTest\test_xdist_002.py::test_baidu_021 ✓ 100% ████ ██████ ==================================================================== warnings summary ===================================================================== c:\users\durant.zeng\.virtualenvs\cloudstorage\lib\site-packages\pykwalify\core.py:7 c:\users\durant.zeng\.virtualenvs\cloudstorage\lib\site-packages\pykwalify\core.py:7: DeprecationWarning: the imp module is deprecated in favour of import lib; see the module's documentation for alternative uses import imp -- Docs: https://docs.pytest.org/en/stable/warnings.html Results (12.24s): 63 passed
可以看出来三个文件总共是63个测试用例,总的执行时间为12.24s
4、使用pytest-xdist插件分布式执行
pytest -v -s -n auto
参数说明:
-n auto:自动的检测到执行器的cpu个数
xdistTest\test_xdist_002.py::test_baidu_020 ✓ 98% ████ █████▉ xdistTest/test_xdist_002.py xdistTest\test_xdist_002.py::test_baidu_021 ✓ 100% ████ ██████ xdistTest/test_xdist_002.py ==================================================================== warnings summary ===================================================================== c:\users\durant.zeng\.virtualenvs\cloudstorage\lib\site-packages\pykwalify\core.py:7 c:\users\durant.zeng\.virtualenvs\cloudstorage\lib\site-packages\pykwalify\core.py:7 c:\users\durant.zeng\.virtualenvs\cloudstorage\lib\site-packages\pykwalify\core.py:7 c:\users\durant.zeng\.virtualenvs\cloudstorage\lib\site-packages\pykwalify\core.py:7 c:\users\durant.zeng\.virtualenvs\cloudstorage\lib\site-packages\pykwalify\core.py:7: DeprecationWarning: the imp module is deprecated in favour of import lib; see the module's documentation for alternative uses import imp -- Docs: https://docs.pytest.org/en/stable/warnings.html Results (7.01s): 63 passed
可以看出来,使用分布式插件执行,总的执行时间为7.01s,大大减少了耗时
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