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import pytest
def importorskip(name):
try:
return __import__(name)
except ImportError:
pytest.skip('Module %s not available' % name)
class MarkGenerator:
""" Factory for :class:`MarkDecorator` objects - exposed as
a ``pytest.mark`` singleton instance. Example::
import pytest
@pytest.mark.slowtest
def test_function():
pass
will set a 'slowtest' :class:`MarkInfo` object
on the ``test_function`` object. """
def __getattr__(self, name):
if name[0] == "_":
raise AttributeError("Marker name must NOT start with underscore")
return MarkDecorator(name)
mark = MarkGenerator()
def istestfunc(func):
return hasattr(func, "__call__") and \
getattr(func, "__name__", "<lambda>") != "<lambda>"
class MarkDecorator:
""" A decorator for test functions and test classes. When applied
it will create :class:`MarkInfo` objects which may be
:ref:`retrieved by hooks as item keywords <excontrolskip>`.
MarkDecorator instances are often created like this::
mark1 = pytest.mark.NAME # simple MarkDecorator
mark2 = pytest.mark.NAME(name1=value) # parametrized MarkDecorator
and can then be applied as decorators to test functions::
@mark2
def test_function():
pass
When a MarkDecorator instance is called it does the following:
1. If called with a single class as its only positional argument and no
additional keyword arguments, it attaches itself to the class so it
gets applied automatically to all test cases found in that class.
2. If called with a single function as its only positional argument and
no additional keyword arguments, it attaches a MarkInfo object to the
function, containing all the arguments already stored internally in
the MarkDecorator.
3. When called in any other case, it performs a 'fake construction' call,
i.e. it returns a new MarkDecorator instance with the original
MarkDecorator's content updated with the arguments passed to this
call.
Note: The rules above prevent MarkDecorator objects from storing only a
single function or class reference as their positional argument with no
additional keyword or positional arguments.
"""
def __init__(self, name, args=None, kwargs=None):
self.name = name
self.args = args or ()
self.kwargs = kwargs or {}
def __repr__(self):
d = self.__dict__.copy()
name = d.pop('name')
return "<MarkDecorator %r %r>" % (name, d)
def __call__(self, *args, **kwargs):
""" if passed a single callable argument: decorate it with mark info.
otherwise add *args/**kwargs in-place to mark information. """
if args and not kwargs:
func = args[0]
if len(args) == 1 and istestfunc(func):
holder = getattr(func, self.name, None)
if holder is None:
holder = MarkInfo(
self.name, self.args, self.kwargs
)
setattr(func, self.name, holder)
else:
holder.add(self.args, self.kwargs)
return func
kw = self.kwargs.copy()
kw.update(kwargs)
args = self.args + args
return self.__class__(self.name, args=args, kwargs=kw)
class MarkInfo:
""" Marking object created by :class:`MarkDecorator` instances. """
def __init__(self, name, args, kwargs):
#: name of attribute
self.name = name
#: positional argument list, empty if none specified
self.args = args
#: keyword argument dictionary, empty if nothing specified
self.kwargs = kwargs.copy()
self._arglist = [(args, kwargs.copy())]
def __repr__(self):
return "<MarkInfo %r args=%r kwargs=%r>" % (
self.name, self.args, self.kwargs
)
def add(self, args, kwargs):
""" add a MarkInfo with the given args and kwargs. """
self._arglist.append((args, kwargs))
self.args += args
self.kwargs.update(kwargs)
def __iter__(self):
""" yield MarkInfo objects each relating to a marking-call. """
for args, kwargs in self._arglist:
yield MarkInfo(self.name, args, kwargs)
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