python - 如何参数化测试以在 pytest 中使用不同的装置运行？

Question

来自 pytest documentation :

@pytest.mark.parametrize allows one to define multiple sets of arguments and fixtures at the test function or class.

看起来这意味着 pytest.mark.parametrize可以将测试标记为使用多组装置运行吗？我可以找到很多参数化参数的例子，但我不知道如何参数化不同的装置集。

我想 this answer接近，但这实际上只是参数化参数，然后解决测试主体中的不同 fixture 。

是否可以使用不同的装置集将测试标记为多次运行？

注意我正在尝试做这样的事情:

import pytest

# some data fixutres
@pytest.fixture()
def data1():
    """Create some data"""

@pytest.fixture()
def data2():
    """Create some different data"""

@pytest.fixture()
def data3():
    """Create yet different data"""


# The tests
@pytest.mark.parametrize('data', [data1, data2])
def test_foo(data):
    """Test something that makes sense with datasets 1 and 2"""

@pytest.mark.parametrize('data', [data2, data3])
def test_bar(data):
    """Test something that makes sense with datasets 2 and 3"""

Answer 1

您可以使用 pytest-lazy-fixture 执行此操作插入:

import pytest
from pytest_lazyfixture import lazy_fixture

@pytest.fixture()
def fixture1():
    return "data1"

@pytest.fixture()
def fixture2():
    return "data2"

@pytest.fixture()
def fixture3():
    return "data3"

@pytest.mark.parametrize("data", [lazy_fixture("fixture1"),
                                  lazy_fixture("fixture2")])
def test_foo(data):
    assert data in ("data1", "data2")

@pytest.mark.parametrize("data", [lazy_fixture("fixture2"),
                                  lazy_fixture("fixture3")])
def test_bar(data):
    assert data in ("data2", "data3")

请注意，有人建议将类似的功能直接添加到 pytest: https://docs.pytest.org/en/latest/proposals/parametrize_with_fixtures.html