Pytest测试框架基本使用方法详解

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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

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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')

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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

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import pytest

import random

@pytest.mark.parametrize('x',[(1),(2),(6)])

def test_add(x):

  print(x)

  assert x==random.randrange(1,7)

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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

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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

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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

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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