py.test:从配置中获取不同fixture的测试函数预期值
我想用py.test来设置测试,使用两个(或更多)不同的“夹具”(fixtures),这些夹具在我的项目中代表不同的层级。对于每个夹具,我想执行不同的测试函数,这些函数会根据使用的夹具,通过参数获取预期的值。
我想做的是这样的:
def getGroups(boardstr, xlen, ylen):
board = Board(boardstr, xlen, ylen)
groups = MyClass.findGroups(board.get_field())
return groups
@pytest.fixture(scope='module')
def groups_3():
# ... setup for level 3
return getGroups(boardstr, xlen, ylen)
@pytest.fixture(scope='module')
def groups_10():
# ... setup for level 10
return getGroups(boardstr, xlen, ylen)
# this is my test data, which i want to use
expected_values = {
"groups_3": {
"test_total_groups": 9,
"test_total_clickable_groups": 5,
"test_total_colors": 3
},
"groups_10": {
"test_total_groups": 22,
"test_total_clickable_groups": 7,
"test_total_colors": 3
},
}
# "groups" shall be the fixture for the following test functions
# and the test methods shall be executed with groups_3 and groups_10 as fixture
def test_total_groups(groups, expected):
assert len(groups) == expected
def test_total_clickable_groups(groups, expected):
assert len([grp for grp in groups if grp.clickable is True]) == expected
def test_total_colors(groups, expected):
assert len(np.unique([grp.color for grp in groups])) == expected
有没有办法用py.test实现这个?可以通过参数化的功能来做到吗?
我尝试了一些不同的方式,比如:
@pytest.mark.parametrize("groups, expected", [
(groups_3(), 5),
(groups_10(), 7),
])
def test_total_clickable_groups(groups, expected):
assert len([grp for grp in groups if grp.clickable is True]) == expected
但是我没有成功。
1 个回答
2
也许对某些人有用。我找到了一种方法来实现这个(灵感来自于 holgerkrekel.net/2009/05/13/parametrizing-python-tests-generalized/):
def getGroups(boardstr, xlen, ylen):
board = Board(boardstr, xlen, ylen)
groups = MyClass.findGroups(board.get_field())
return groups
def groups_3():
# ... setup for level 3
return getGroups(boardstr, xlen, ylen)
def groups_10():
# ... setup for level 10
return getGroups(boardstr, xlen, ylen)
# decorator function
def params(funcarglist):
def wrapper(function):
function.funcarglist = funcarglist
return function
return wrapper
def pytest_generate_tests(metafunc):
# called once per each test function
for funcargs in getattr(metafunc.function, 'funcarglist', ()):
# schedule a new test function run with applied **funcargs
metafunc.addcall(funcargs=funcargs)
class TestClass:
groups_3 = groups_3()
groups_10 = groups_10()
@params([dict(g=groups_3, e=9),
dict(g=groups_10, e=22)])
def test_total_groups(self, g, e):
assert len(g) == e
@params([dict(g=groups_3, e=5),
dict(g=groups_10, e=7)])
def test_total_clickable_groups(self, g, e):
assert len([grp for grp in g if grp.clickable is True]) == e
@params([dict(g=groups_3, e=3),
dict(g=groups_10, e=3)])
def test_total_colors(self, g, e):
assert len(np.unique([grp.color for grp in g])) == e