Pytest测试框架基本使用方法详解

import pytest

class TestClass:
    def test_one(self):
      x = "this"
      assert 'h' in x

    def test_two(self):
      x = "hello"
      assert hasattr(x, 'check')

    def test_three(self):
      a = "hello"
      b = "hello world"
      assert a in b

import pytest

class TestClass:
    def test_one(self):
      x = "this"
      assert 'h' in x

    def test_two(self):
      x = "hello"
      assert hasattr(x, 'check')

    def test_three(self):
      a = "hello"
      b = "hello world"
      assert a in b

if __name__ == "__main__":
  pytest.main('-q test_class.py')

py.test # run all tests below current dir
py.test test_mod.py # run tests in module file test_mod.py
py.test somepath # run all tests below somepath like ./tests/
py.test -k stringexpr # only run tests with names that match the
# the "string expression", e.g. "MyClass and not method"
# will select TestMyClass.test_something
# but not TestMyClass.test_method_simple
py.test test_mod.py::test_func # only run tests that match the "node ID",
# e.g "test_mod.py::test_func" will be selected
# only run test_func in test_mod.py

import pytest
import random
@pytest.mark.parametrize('x',[(1),(2),(6)])
def test_add(x):
  print(x)
  assert x==random.randrange(1,7)

import pytest
@pytest.mark.parametrize('x,y',[
  (1+2,3),
  (2-0,1),
  (6*2,12),
  (10*2,3),
  ("test","test"),
])
def test_add(x,y):  #必须与上面保持一致，只能用x,y不能用其他字母
  assert x==y

import pytest
import time
value=0
@pytest.mark.run(order=2) #后执行order=2
def test_add2():
  print("I am 2")
  time.sleep(2)
  assert value==10
@pytest.mark.run(order=1)  #先执行order=1
def test_add():
  print("I am add")
  global value
  value=10
  assert value==10

py.test --cov-report=html --cov=./ test_code_target_dir
Console参数介绍
--cov=[path], measure coverage for filesystem path (multi-allowed), 指定被测试对象，用于计算测试覆盖率
--cov-report=type, type of report to generate: term, term-missing, annotate, html, xml (multi-allowed), 测试报告的类型
--cov-config=path, config file for coverage, default: .coveragerc, coverage配置文件
--no-cov-on-fail, do not report coverage if test run fails, default: False，如果测试失败，不生成测试报告
--cov-fail-under=MIN, Fail if the total coverage is less than MIN. 如果测试覆盖率低于MIN，则认为失败

import random
def add(x,y):
  return x+y
def test_add():
  random_value=random.randint(2,7)
  print('random_value:'+str(random_value))
  assert add(1,3)==random_value