pytest 依赖跳过参数化测试
pytest dependency skips parameterized tests
我正在使用 pytest 编写测试。我有两个测试,一个依赖于另一个,我为此使用 pytest-dependency==0.5.1。当我有两个相互依赖但都参数化的测试时,会发生一些奇怪的事情——即使独立测试成功,依赖测试也会被跳过。这是我的代码:
import pytest
@pytest.mark.parametrize('par1', ['val1', 'val2', 'val3'])
@pytest.mark.dependency()
def test_a(par1):
print('hi from test a')
assert 1 == 1
@pytest.mark.parametrize('par2', ['val21', 'val22', 'val23'])
@pytest.mark.dependency(depends=["test_a"])
def test_b(par2):
print('hi from test c')
当我 运行 pytest 时,我得到:
pytest --log-cli-level=INFO
================================================================================================= test session starts ==================================================================================================
platform linux -- Python 3.7.9, pytest-6.1.2, py-1.9.0, pluggy-0.13.1
rootdir: /home/username/dev/tests/test
plugins: dependency-0.5.1, mock-3.1.1, anyio-2.0.2, dash-1.16.1, celery-4.4.7, allure-pytest-2.8.21
collected 6 items
test_something.py::test_a[val1] PASSED [ 16%]
test_something.py::test_a[val2] PASSED [ 33%]
test_something.py::test_a[val3] PASSED [ 50%]
test_something.py::test_b[val21] SKIPPED [ 66%]
test_something.py::test_b[val22] SKIPPED [ 83%]
test_something.py::test_b[val23] SKIPPED [100%]
============================================================================================= 3 passed, 3 skipped in 0.05s =============================================================================================
如果我取消参数化,一切都很好:
pytest --log-cli-level=INFO
================================================================================================= test session starts ==================================================================================================
platform linux -- Python 3.7.9, pytest-6.1.2, py-1.9.0, pluggy-0.13.1
rootdir: /home/username/dev/tests/test
plugins: dependency-0.5.1, mock-3.1.1, anyio-2.0.2, dash-1.16.1, celery-4.4.7, allure-pytest-2.8.21
collected 2 items
test_something.py::test_a PASSED [ 50%]
test_something.py::test_b PASSED [100%]
================================================================================================== 2 passed in 0.01s ===================================================================================================
为什么会发生这种情况,我该如何解决?
问题是测试的名称包含测试参数,例如test_a[val1]
等,并且 pytest-dependency
找不到名为 test_a
的测试。要解决这个问题,您只需将名称添加到依赖项标记 - 在这种情况下 pytest-dependency
会忽略真实的测试名称并使用这个名称:
import pytest
@pytest.mark.parametrize('par1', ['val1', 'val2', 'val3'])
@pytest.mark.dependency(name='test_a')
def test_a(par1):
print('hi from test a')
assert 1 == 1
@pytest.mark.parametrize('par2', ['val21', 'val22', 'val23'])
@pytest.mark.dependency(depends=['test_a'])
def test_b(par2):
print('hi from test b')
现在,如果 test_a
测试中的 所有 测试成功,则执行测试。
我正在使用 pytest 编写测试。我有两个测试,一个依赖于另一个,我为此使用 pytest-dependency==0.5.1。当我有两个相互依赖但都参数化的测试时,会发生一些奇怪的事情——即使独立测试成功,依赖测试也会被跳过。这是我的代码:
import pytest
@pytest.mark.parametrize('par1', ['val1', 'val2', 'val3'])
@pytest.mark.dependency()
def test_a(par1):
print('hi from test a')
assert 1 == 1
@pytest.mark.parametrize('par2', ['val21', 'val22', 'val23'])
@pytest.mark.dependency(depends=["test_a"])
def test_b(par2):
print('hi from test c')
当我 运行 pytest 时,我得到:
pytest --log-cli-level=INFO
================================================================================================= test session starts ==================================================================================================
platform linux -- Python 3.7.9, pytest-6.1.2, py-1.9.0, pluggy-0.13.1
rootdir: /home/username/dev/tests/test
plugins: dependency-0.5.1, mock-3.1.1, anyio-2.0.2, dash-1.16.1, celery-4.4.7, allure-pytest-2.8.21
collected 6 items
test_something.py::test_a[val1] PASSED [ 16%]
test_something.py::test_a[val2] PASSED [ 33%]
test_something.py::test_a[val3] PASSED [ 50%]
test_something.py::test_b[val21] SKIPPED [ 66%]
test_something.py::test_b[val22] SKIPPED [ 83%]
test_something.py::test_b[val23] SKIPPED [100%]
============================================================================================= 3 passed, 3 skipped in 0.05s =============================================================================================
如果我取消参数化,一切都很好:
pytest --log-cli-level=INFO
================================================================================================= test session starts ==================================================================================================
platform linux -- Python 3.7.9, pytest-6.1.2, py-1.9.0, pluggy-0.13.1
rootdir: /home/username/dev/tests/test
plugins: dependency-0.5.1, mock-3.1.1, anyio-2.0.2, dash-1.16.1, celery-4.4.7, allure-pytest-2.8.21
collected 2 items
test_something.py::test_a PASSED [ 50%]
test_something.py::test_b PASSED [100%]
================================================================================================== 2 passed in 0.01s ===================================================================================================
为什么会发生这种情况,我该如何解决?
问题是测试的名称包含测试参数,例如test_a[val1]
等,并且 pytest-dependency
找不到名为 test_a
的测试。要解决这个问题,您只需将名称添加到依赖项标记 - 在这种情况下 pytest-dependency
会忽略真实的测试名称并使用这个名称:
import pytest
@pytest.mark.parametrize('par1', ['val1', 'val2', 'val3'])
@pytest.mark.dependency(name='test_a')
def test_a(par1):
print('hi from test a')
assert 1 == 1
@pytest.mark.parametrize('par2', ['val21', 'val22', 'val23'])
@pytest.mark.dependency(depends=['test_a'])
def test_b(par2):
print('hi from test b')
现在,如果 test_a
测试中的 所有 测试成功,则执行测试。