前言
写完一个项目的自动化用例之后,发现有些用例运行较慢,影响整体的用例运行速度,于是领导说找出运行慢的那几个用例优化下。 –durations 参数可以统计出每个用例运行的时间,对用例的时间做个排序。
–durations=N pytest -h 查看命令行参数,关于 --durations=N 参数的使用方式
>pytest -h reporting: --durations=N show N slowest setup/test durations (N=0 for all).
当 N=0 的时候显示全部用例的运行时间
–durations=0
先写几个pytest的用例,在用例里面加sleep时间,这样方便看到每个用例运行的持续时间
import pytest import time # 作者-上海悠悠 QQ交流群:717225969 # blog地址 https://www.cnblogs.com/yoyoketang/ @pytest.fixture() def set_up_fixture(): time.sleep(0.1) yield time.sleep(0.2) def test_01(set_up_fixture): print("用例1") time.sleep(1.0) def test_02(set_up_fixture): print("用例2") time.sleep(0.6) def test_03(set_up_fixture): print("用例3") time.sleep(1.2) def test_04(set_up_fixture): print("用例4") time.sleep(0.3) def test_05(set_up_fixture): print("用例5") time.sleep(2.3)
当 N=0 的时候显示全部用例的运行时间
>pytest test_dur.py --durations=0 -v ============================= test session starts ============================= collected 5 items test_dur.py::test_01 PASSED [ 20%] test_dur.py::test_02 PASSED [ 40%] test_dur.py::test_03 PASSED [ 60%] test_dur.py::test_04 PASSED [ 80%] test_dur.py::test_05 PASSED [100%] =========================== slowest test durations ============================ 2.30s call test_dur.py::test_05 1.20s call test_dur.py::test_03 1.00s call test_dur.py::test_01 0.60s call test_dur.py::test_02 0.30s call test_dur.py::test_04 0.20s teardown test_dur.py::test_05 0.20s teardown test_dur.py::test_01 0.20s teardown test_dur.py::test_02 0.20s teardown test_dur.py::test_03 0.20s teardown test_dur.py::test_04 0.10s setup test_dur.py::test_03 0.10s setup test_dur.py::test_01 0.10s setup test_dur.py::test_02 0.10s setup test_dur.py::test_05 0.10s setup test_dur.py::test_04 ========================== 5 passed in 7.05 seconds ===========================
用例运行的时候会经历3个阶段:setup,call,teardown。call就是测试用例,setup和teardown就是用例的fixture部分。
–durations=3如果我们只需要筛选出运行时间最慢的3条用例,可以设置–durations=3
>pytest test_dur.py --durations=3 -v ============================= test session starts ============================= collected 5 items test_dur.py::test_01 PASSED [ 20%] test_dur.py::test_02 PASSED [ 40%] test_dur.py::test_03 PASSED [ 60%] test_dur.py::test_04 PASSED [ 80%] test_dur.py::test_05 PASSED [100%] ========================== slowest 3 test durations =========================== 2.30s call test_dur.py::test_05 1.20s call test_dur.py::test_03 1.00s call test_dur.py::test_01 ========================== 5 passed in 7.00 seconds ===========================
这样就可以对运行慢的用例针对性优化。
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