对于py.test,我经常生成一些测试用例可能会失败的测试如何将它们标记为xfail如果我将@py.test.mark.xfail
放在测试函数上,则意味着它的所有实例都是xfail如果我在测试中做了py.test.xfail()
,它实际上会失败,而不仅仅是将其标记为xfail。我可以用metafunc添加这个标记吗?
例如
# code - function with a bug :)
def evenHigherThanSquare(n):
return n**2
# test file
def pytest_generate_tests(metafunc):
data = [
(2, 4),
(3, 10), # should be xfail
(4, 16),
(5, 26), # should be xfail
]
for input, expected in data:
if metafunc.function is test_evenHigherThanSquare:
metafunc.addcall(funcargs=dict(input=input, expected=expected))
def test_evenHigherThanSquare(input, expected):
assert evenHigherThanSquare(input) == expected
最佳答案
当然,您可以使用funcarg factory来apply an xfail marker(since 1.3.2):
def pytest_generate_tests(metafunc):
data = [
# input # output # is expected to fail?
(2, 4, False),
(3, 10, True),
(4, 16, False),
(5, 26, True),
]
for input, expected, xfail in data:
if metafunc.function is test_evenHigherThanSquare:
metafunc.addcall(funcargs=dict(input=input, expected=expected),
param=xfail)
def pytest_funcarg__xfail(request):
if request.param:
request.applymarker(py.test.mark.xfail)
def test_evenHigherThanSquare(input, expected, xfail):
assert evenHigherThanSquare(input) == expected
在这里,我们使用未使用的
xfail
参数来触发对每个测试项的test_evenHigherThanSquare
调用;它使用提供给pytest_funcarg__xfail
的param
来决定是否发送测试。Funcarg工厂更常用于生成在收集时创建代价高昂的参数,但应用标记也是完全受支持的用法。