pytest框架插件（用例依赖、多重校验、执行顺序、失败重跑、重复执行、标记）

参考来源：https://www.jianshu.com/p/7df6d781f100

pytest插件汇总：http://plugincompat.herokuapp.com/

以下是常用插件介绍

1、用例依赖：pytest-dependency

　　官方示例：https://pytest-dependency.readthedocs.io/en/latest/usage.html#basic-usage

import pytest

#在类下面实现依赖关系，第一种方式
class TestClass(object):

    @pytest.mark.dependency()
    # @pytest.mark.xfail(reason="deliberate fail")
    def test_a(self):
        assert True

    @pytest.mark.dependency()
    def test_b(self):
        pass

    @pytest.mark.dependency(depends=["TestClass::test_a"])
    def test_c(self):
        pass

    @pytest.mark.dependency(depends=["TestClass::test_b"])
    def test_d(self):
        pass

    @pytest.mark.dependency(depends=["TestClass::test_b", "TestClass::test_c"])
    def test_e(self):
        pass

#在类下面实现依赖关系，第二种方式
class TestClassNamed(object):

    @pytest.mark.dependency(name="a")
    #@pytest.mark.xfail(reason="deliberate fail")
    def test_a(self):
        assert False

    @pytest.mark.dependency(name="b", depends=["a"])
    def test_b(self):
        pass

    @pytest.mark.dependency(name="c")
    def test_c(self):
        pass

    @pytest.mark.dependency(name="d", depends=["c"])
    def test_d(self):
        pass

    @pytest.mark.dependency(name="e", depends=["b", "c"])
    def test_e(self):
        pass

#不在类下面，第一种
import pytest

@pytest.mark.dependency()
@pytest.mark.xfail(reason="deliberate fail")
def test_a():
    assert False

@pytest.mark.dependency()
def test_b():
    pass

@pytest.mark.dependency(depends=["test_a"])
def test_c():
    pass

@pytest.mark.dependency(depends=["test_b"])
def test_d():
    pass

@pytest.mark.dependency(depends=["test_b", "test_c"])
def test_e():
    pass

#不在类下面，第二种    
import pytest

@pytest.mark.dependency(name="a")
@pytest.mark.xfail(reason="deliberate fail")
def test_a():
    assert False

@pytest.mark.dependency(name="b")
def test_b():
    pass

@pytest.mark.dependency(name="c", depends=["a"])
def test_c():
    pass

@pytest.mark.dependency(name="d", depends=["b"])
def test_d():
    pass

@pytest.mark.dependency(name="e", depends=["b", "c"])
def test_e():
    pass

2、多重校验：pytest-assume

    def test_a(self):
        pytest.assume(3 == 3)
        pytest.assume(5 == 3)
        pytest.assume(4 == 5)

即使第二个断言失败了，第三个断言还是会继续执行

3、执行顺序：pytest-ordering（还可以对类进行标记，尽量但不要混着用）

#先执行test_b再执行test_a
@pytest.mark.run(order=2)
def test_a(self):
    pass
    
@pytest.mark.run(order=1)
def test_b(self):
    pass

4、失败重跑：pytest-rerunfailures（还可以对类进行标记，尽量但不要混着用）

    #reruns是重跑次数，reruns_delay是间隔时间
    @pytest.mark.flaky(reruns=6, reruns_delay=2)
    def test_a(self):
        pass

5、重复执行：pytest-repeat

<1>对整个文件的测试用例重复执行：pytest -v  test_case.py  --count=5

<2>直接标记某个用例执行多少次（还可以对类进行标记，尽量不要混着用）：@pytest.mark.repeat(2)

实际发现重复执行的用例（断言是True），作为其他用例的依赖时，会导致其他用例跳过

用例在统计的时候会把重复执行的次数计算进去

6、标记

参考来源有更多详细的用法：https://www.cnblogs.com/lixy-88428977/p/9697881.html

示例是对单个用例的标记，还可以对类进行标记

'''
命令行执行：pytest -v -m "ios" ，则只会运行标记为ios的用例
命令行执行：pytest -v -m "not ios" ，则会运行没有标记ios的用例
'''
    @pytest.mark.ios
    def test_c(self):
        pass

    @pytest.mark.android
    def test_d(self):
        pass