# mock.py
# Test tools for mocking and patching.
# Maintained by Michael Foord
# Backport for other versions of Python available from
# https://pypi.org/project/mock
__all__ = (
'Mock',
'MagicMock',
'patch',
'sentinel',
'DEFAULT',
'ANY',
'call',
'create_autospec',
'AsyncMock',
'FILTER_DIR',
'NonCallableMock',
'NonCallableMagicMock',
'mock_open',
'PropertyMock',
'seal',
)
import asyncio
import contextlib
import io
import inspect
import pprint
import sys
import builtins
import pkgutil
from asyncio import iscoroutinefunction
from types import CodeType, ModuleType, MethodType
from unittest.util import safe_repr
from functools import wraps, partial
from threading import RLock
class InvalidSpecError(Exception):
"""Indicates that an invalid value was used as a mock spec."""
_builtins = {name for name in dir(builtins) if not name.startswith('_')}
FILTER_DIR = True
# Workaround for issue #12370
# Without this, the __class__ properties wouldn't be set correctly
_safe_super = super
def _is_async_obj(obj):
if _is_instance_mock(obj) and not isinstance(obj, AsyncMock):
return False
if hasattr(obj, '__func__'):
obj = getattr(obj, '__func__')
return iscoroutinefunction(obj) or inspect.isawaitable(obj)
def _is_async_func(func):
if getattr(func, '__code__', None):
return iscoroutinefunction(func)
else:
return False
def _is_instance_mock(obj):
# can't use isinstance on Mock objects because they override __class__
# The base class for all mocks is NonCallableMock
return issubclass(type(obj), NonCallableMock)
def _is_exception(obj):
return (
isinstance(obj, BaseException) or
isinstance(obj, type) and issubclass(obj, BaseException)
)
def _extract_mock(obj):
# Autospecced functions will return a FunctionType with "mock" attribute
# which is the actual mock object that needs to be used.
if isinstance(obj, FunctionTypes) and hasattr(obj, 'mock'):
return obj.mock
else:
return obj
def _get_signature_object(func, as_instance, eat_self):
"""
Given an arbitrary, possibly callable object, try to create a suitable
signature object.
Return a (reduced func, signature) tuple, or None.
"""
if isinstance(func, type) and not as_instance:
# If it's a type and should be modelled as a type, use __init__.
func = func.__init__
# Skip the `self` argument in __init__
eat_self = True
elif isinstance(func, (classmethod, staticmethod)):
if isinstance(func, classmethod):
# Skip the `cls` argument of a class method
eat_self = True
# Use the original decorated method to extract the correct function signature
func = func.__func__
elif not isinstance(func, FunctionTypes):
# If we really want to model an instance of the passed type,
# __call__ should be looked up, not __init__.
try:
func = func.__call__
except AttributeError:
return None
if eat_self:
sig_func = partial(func, None)
else:
sig_func = func
try:
return func, inspect.signature(sig_func)
except ValueError:
# Certain callable types are not supported by inspect.signature()
return None
def _check_signature(func, mock, skipfirst, instance=False):
sig = _get_signature_object(func, instance, skipfirst)
if sig is None:
return
func, sig = sig
def checksig(self, /, *args, **kwargs):
sig.bind(*args, **kwargs)
_copy_func_details(func, checksig)
type(mock)._mock_check_sig = checksig
type(mock).__signature__ = sig
def _copy_func_details(func, funcopy):
# we explicitly don't copy func.__dict__ into this copy as it would
# expose original attributes that should be mocked
for attribute in (
'__name__', '__doc__', '__text_signature__',
'__module__', '__defaults__', '__kwdefaults__',
):
try:
setattr(funcopy, attribute, getattr(func, attribute))
except AttributeError:
pass
def _callable(obj):
if isinstance(obj, type):
return True
if isinstance(obj, (staticmethod, classmethod, MethodType)):
return _callable(obj.__func__)
if getattr(obj, '__call__', None) is not None:
return True
return False
def _is_list(obj):
# checks for list or tuples
# XXXX badly named!
return type(obj) in (list, tuple)
def _instance_callable(obj):
"""Given an object, return True if the object is callable.
For classes, return True if instances would be callable."""
if not isinstance(obj, type):
# already an instance
return getattr(obj, '__call__', None) is not None
# *could* be broken by a class overriding __mro__ or __dict__ via
# a metaclass
for base in (obj,) + obj.__mro__:
if base.__dict__.get('__call__') is not None:
return True
return False
def _set_signature(mock, original, instance=False):
# creates a function with signature (*args, **kwargs) that delegates to a
# mock. It still does signature checking by calling a lambda with the same
# signature as the original.
skipfirst = isinstance(original, type)
result = _get_signature_object(original, instance, skipfirst)
if result is None:
return mock
func, sig = result
def checksig(*args, **kwargs):
sig.bind(*args, **kwargs)
_copy_func_details(func, checksig)
name = original.__name__
if not name.isidentifier():
name = 'funcopy'
context = {'_checksig_': checksig, 'mock': mock}
src = """def %s(*args, **kwargs):
_checksig_(*args, **kwargs)
return mock(*args, **kwargs)""" % name
exec (src, context)
funcopy = context[name]
_setup_func(funcopy, mock, sig)
return funcopy
def _setup_func(funcopy, mock, sig):
funcopy.mock = mock
def assert_called_with(*args, **kwargs):
return mock.assert_called_with(*args, **kwargs)
def assert_called(*args, **kwargs):
return mock.assert_called(*args, **kwargs)
def assert_not_called(*args, **kwargs):
return mock.assert_not_called(*args, **kwargs)
def assert_called_once(*args, **kwargs):
return mock.assert_called_once(*args, **kwargs)
def assert_called_once_with(*args, **kwargs):
return mock.assert_called_once_with(*args, **kwargs)
def assert_has_calls(*args, **kwargs):
return mock.assert_has_calls(*args, **kwargs)
def assert_any_call(*args, **kwargs):
return mock.assert_any_call(*args, **kwargs)
def reset_mock():
funcopy.method_calls = _CallList()
funcopy.mock_calls = _CallList()
mock.reset_mock()
ret = funcopy.return_value
if _is_instance_mock(ret) and not ret is mock:
ret.reset_mock()
funcopy.called = False
funcopy.call_count = 0
funcopy.call_args = None
funcopy.call_args_list = _CallList()
funcopy.method_calls = _CallList()
funcopy.mock_calls = _CallList()
funcopy.return_value = mock.return_value
funcopy.side_effect = mock.side_effect
funcopy._mock_children = mock._mock_children
funcopy.assert_called_with = assert_called_with
funcopy.assert_called_once_with = assert_called_once_with
funcopy.assert_has_calls = assert_has_calls
funcopy.assert_any_call = assert_any_call
funcopy.reset_mock = reset_mock
funcopy.assert_called = assert_called
funcopy.assert_not_called = assert_not_called
funcopy.assert_called_once = assert_called_once
funcopy.__signature__ = sig
mock._mock_delegate = funcopy
def _setup_async_mock(mock):
mock._is_coroutine = asyncio.coroutines._is_coroutine
mock.await_count = 0
mock.await_args = None
mock.await_args_list = _CallList()
# Mock is not configured yet so the attributes are set
# to a function and then the corresponding mock helper function
# is called when the helper is accessed similar to _setup_func.
def wrapper(attr, /, *args, **kwargs):
return getattr(mock.mock, attr)(*args, **kwargs)
for attribute in ('assert_awaited',
'assert_awaited_once',
'assert_awaited_with',
'assert_awaited_once_with',
'assert_any_await',
'assert_has_awaits',
'assert_not_awaited'):
# setattr(mock, attribute, wrapper) causes late binding
# hence attribute will always be the last value in the loop
# Use partial(wrapper, attribute) to ensure the attribute is bound
# correctly.
setattr(mock, attribute, partial(wrapper, attribute))
def _is_magic(name):
return '__%s__' % name[2:-2] == name
class _SentinelObject(object):
"A unique, named, sentinel object."
def __init__(self, name):
self.name = name
def __repr__(self):
return 'sentinel.%s' % self.name
def __reduce__(self):
return 'sentinel.%s' % self.name
class _Sentinel(object):
"""Access attributes to return a named object, usable as a sentinel."""
def __init__(self):
self._sentinels = {}
def __getattr__(self, name):
if name == '__bases__':
# Without this help(unittest.mock) raises an exception
raise AttributeError
return self._sentinels.setdefault(name, _SentinelObject(name))
def __reduce__(self):
return 'sentinel'
sentinel = _Sentinel()
DEFAULT = sentinel.DEFAULT
_missing = sentinel.MISSING
_deleted = sentinel.DELETED
_allowed_names = {
'return_value', '_mock_return_value', 'side_effect',
'_mock_side_effect', '_mock_parent', '_mock_new_parent',
'_mock_name', '_mock_new_name'
}
def _delegating_property(name):
_allowed_names.add(name)
_the_name = '_mock_' + name
def _get(self, name=name, _the_name=_the_name):
sig = self._mock_delegate
if sig is None:
return getattr(self, _the_name)
return getattr(sig, name)
def _set(self, value, name=name, _the_name=_the_name):
sig = self._mock_delegate
if sig is None:
self.__dict__[_the_name] = value
else:
setattr(sig, name, value)
return property(_get, _set)
class _CallList(list):
def __contains__(self, value):
if not isinstance(value, list):
return list.__contains__(self, value)
len_value = len(value)
len_self = len(self)
if len_value > len_self:
return False
for i in range(0, len_self - len_value + 1):
sub_list = self[i:i+len_value]
if sub_list == value:
return True
return False
def __repr__(self):
return pprint.pformat(list(self))
def _check_and_set_parent(parent, value, name, new_name):
value = _extract_mock(value)
if not _is_instance_mock(value):
return False
if ((value._mock_name or value._mock_new_name) or
(value._mock_parent is not None) or
(value._mock_new_parent is not None)):
return False
_parent = parent
while _parent is not None:
# setting a mock (value) as a child or return value of itself
# should not modify the mock
if _parent is value:
return False
_parent = _parent._mock_new_parent
if new_name:
value._mock_new_parent = parent
value._mock_new_name = new_name
if name:
value._mock_parent = parent
value._mock_name = name
return True
# Internal class to identify if we wrapped an iterator object or not.
class _MockIter(object):
def __init__(self, obj):
self.obj = iter(obj)
def __next__(self):
return next(self.obj)
class Base(object):
_mock_return_value = DEFAULT
_mock_side_effect = None
def __init__(self, /, *args, **kwargs):
pass
class NonCallableMock(Base):
"""A non-callable version of `Mock`"""
# Store a mutex as a class attribute in order to protect concurrent access
# to mock attributes. Using a class attribute allows all NonCallableMock
# instances to share the mutex for simplicity.
#
# See https://github.com/python/cpython/issues/98624 for why this is
# necessary.
_lock = RLock()
def __new__(cls, /, *args, **kw):
# every instance has its own class
# so we can create magic methods on the
# class without stomping on other mocks
bases = (cls,)
if not issubclass(cls, AsyncMockMixin):
# Check if spec is an async object or function
bound_args = _MOCK_SIG.bind_partial(cls, *args, **kw).arguments
spec_arg = bound_args.get('spec_set', bound_args.get('spec'))
if spec_arg is not None and _is_async_obj(spec_arg):
bases = (AsyncMockMixin, cls)
new = type(cls.__name__, bases, {'__doc__': cls.__doc__})
instance = _safe_super(NonCallableMock, cls).__new__(new)
return instance
def __init__(
self, spec=None, wraps=None, name=None, spec_set=None,
parent=None, _spec_state=None, _new_name='', _new_parent=None,
_spec_as_instance=False, _eat_self=None, unsafe=False, **kwargs
):
if _new_parent is None:
_new_parent = parent
__dict__ = self.__dict__
__dict__['_mock_parent'] = parent
__dict__['_mock_name'] = name
__dict__['_mock_new_name'] = _new_name
__dict__['_mock_new_parent'] = _new_parent
__dict__['_mock_sealed'] = False
if spec_set is not None:
spec = spec_set
spec_set = True
if _eat_self is None:
_eat_self = parent is not None
self._mock_add_spec(spec, spec_set, _spec_as_instance, _eat_self)
__dict__['_mock_children'] = {}
__dict__['_mock_wraps'] = wraps
__dict__['_mock_delegate'] = None
__dict__['_mock_called'] = False
__dict__['_mock_call_args'] = None
__dict__['_mock_call_count'] = 0
__dict__['_mock_call_args_list'] = _CallList()
__dict__['_mock_mock_calls'] = _CallList()
__dict__['method_calls'] = _CallList()
__dict__['_mock_unsafe'] = unsafe
if kwargs:
self.configure_mock(**kwargs)
_safe_super(NonCallableMock, self).__init__(
spec, wraps, name, spec_set, parent,
_spec_state
)
def attach_mock(self, mock, attribute):
"""
Attach a mock as an attribute of this one, replacing its name and
parent. Calls to the attached mock will be recorded in the
`method_calls` and `mock_calls` attributes of this one."""
inner_mock = _extract_mock(mock)
inner_mock._mock_parent = None
inner_mock._mock_new_parent = None
inner_mock._mock_name = ''
inner_mock._mock_new_name = None
setattr(self, attribute, mock)
def mock_add_spec(self, spec, spec_set=False):
"""Add a spec to a mock. `spec` can either be an object or a
list of strings. Only attributes on the `spec` can be fetched as
attributes from the mock.
If `spec_set` is True then only attributes on the spec can be set."""
self._mock_add_spec(spec, spec_set)
def _mock_add_spec(self, spec, spec_set, _spec_as_instance=False,
_eat_self=False):
if _is_instance_mock(spec):
raise InvalidSpecError(f'Cannot spec a Mock object. [object={spec!r}]')
_spec_class = None
_spec_signature = None
_spec_asyncs = []
for attr in dir(spec):
if iscoroutinefunction(getattr(spec, attr, None)):
_spec_asyncs.append(attr)
if spec is not None and not _is_list(spec):
if isinstance(spec, type):
_spec_class = spec
else:
_spec_class = type(spec)
res = _get_signature_object(spec,
_spec_as_instance, _eat_self)
_spec_signature = res and res[1]
spec = dir(spec)
__dict__ = self.__dict__
__dict__['_spec_class'] = _spec_class
__dict__['_spec_set'] = spec_set
__dict__['_spec_signature'] = _spec_signature
__dict__['_mock_methods'] = spec
__dict__['_spec_asyncs'] = _spec_asyncs
def __get_return_value(self):
ret = self._mock_return_value
if self._mock_delegate is not None:
ret = self._mock_delegate.return_value
if ret is DEFAULT:
ret = self._get_child_mock(
_new_parent=self, _new_name='()'
)
self.return_value = ret
return ret
def __set_return_value(self, value):
if self._mock_delegate is not None:
self._mock_delegate.return_value = value
else:
self._mock_return_value = value
_check_and_set_parent(self, value, None, '()')
__return_value_doc = "The value to be returned when the mock is called."
return_value = property(__get_return_value, __set_return_value,
__return_value_doc)
@property
def __class__(self):
if self._spec_class is None:
return type(self)
return self._spec_class
called = _delegating_property('called')
call_count = _delegating_property('call_count')
call_args = _delegating_property('call_args')
call_args_list = _delegating_property('call_args_list')
mock_calls = _delegating_property('mock_calls')
def __get_side_effect(self):
delegated = self._mock_delegate
if delegated is None:
return self._mock_side_effect
sf = delegated.side_effect
if (sf is not None and not callable(sf)
and not isinstance(sf, _MockIter) and not _is_exception(sf)):
sf = _MockIter(sf)
delegated.side_effect = sf
return sf
def __set_side_effect(self, value):
value = _try_iter(value)
delegated = self._mock_delegate
if delegated is None:
self._mock_side_effect = value
else:
delegated.side_effect = value
side_effect = property(__get_side_effect, __set_side_effect)
def reset_mock(self, visited=None,*, return_value=False, side_effect=False):
"Restore the mock object to its initial state."
if visited is None:
visited = []
if id(self) in visited:
return
visited.append(id(self))
self.called = False
self.call_args = None
self.call_count = 0
self.mock_calls = _CallList()
self.call_args_list = _CallList()
self.method_calls = _CallList()
if return_value:
self._mock_return_value = DEFAULT
if side_effect:
self._mock_side_effect = None
for child in self._mock_children.values():
if isinstance(child, _SpecState) or child is _deleted:
continue
child.reset_mock(visited, return_value=return_value, side_effect=side_effect)
ret = self._mock_return_value
if _is_instance_mock(ret) and ret is not self:
ret.reset_mock(visited)
def configure_mock(self, /, **kwargs):
"""Set attributes on the mock through keyword arguments.
Attributes plus return values and side effects can be set on child
mocks using standard dot notation and unpacking a dictionary in the
method call:
>>> attrs = {'method.return_value': 3, 'other.side_effect': KeyError}
>>> mock.configure_mock(**attrs)"""
for arg, val in sorted(kwargs.items(),
# we sort on the number of dots so that
# attributes are set before we set attributes on
# attributes
key=lambda entry: entry[0].count('.')):
args = arg.split('.')
final = args.pop()
obj = self
for entry in args:
obj = getattr(obj, entry)
setattr(obj, final, val)
def __getattr__(self, name):
if name in {'_mock_methods', '_mock_unsafe'}:
raise AttributeError(name)
elif self._mock_methods is not None:
if name not in self._mock_methods or name in _all_magics:
raise AttributeError("Mock object has no attribute %r" % name)
elif _is_magic(name):
raise AttributeError(name)
if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):
if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')):
raise AttributeError(
f"{name!r} is not a valid assertion. Use a spec "
f"for the mock if {name!r} is meant to be an attribute.")
with NonCallableMock._lock:
result = self._mock_children.get(name)
if result is _deleted:
raise AttributeError(name)
elif result is None:
wraps = None
if self._mock_wraps is not None:
# XXXX should we get the attribute without triggering code
# execution?
wraps = getattr(self._mock_wraps, name)
result = self._get_child_mock(
parent=self, name=name, wraps=wraps, _new_name=name,
_new_parent=self
)
self._mock_children[name] = result
elif isinstance(result, _SpecState):
try:
result = create_autospec(
result.spec, result.spec_set, result.instance,
result.parent, result.name
)
except InvalidSpecError:
target_name = self.__dict__['_mock_name'] or self
raise InvalidSpecError(
f'Cannot autospec attr {name!r} from target '
f'{target_name!r} as it has already been mocked out. '
f'[target={self!r}, attr={result.spec!r}]')
self._mock_children[name] = result
return result
def _extract_mock_name(self):
_name_list = [self._mock_new_name]
_parent = self._mock_new_parent
last = self
dot = '.'
if _name_list == ['()']:
dot = ''
while _parent is not None:
last = _parent
_name_list.append(_parent._mock_new_name + dot)
dot = '.'
if _parent._mock_new_name == '()':
dot = ''
_parent = _parent._mock_new_parent
_name_list = list(reversed(_name_list))
_first = last._mock_name or 'mock'
if len(_name_list) > 1:
if _name_list[1] not in ('()', '().'):
_first += '.'
_name_list[0] = _first
return ''.join(_name_list)
def __repr__(self):
name = self._extract_mock_name()
name_string = ''
if name not in ('mock', 'mock.'):
name_string = ' name=%r' % name
spec_string = ''
if self._spec_class is not None:
spec_string = ' spec=%r'
if self._spec_set:
spec_string = ' spec_set=%r'
spec_string = spec_string % self._spec_class.__name__
return "<%s%s%s id='%s'>" % (
type(self).__name__,
name_string,
spec_string,
id(self)
)
def __dir__(self):
"""Filter the output of `dir(mock)` to only useful members."""
if not FILTER_DIR:
return object.__dir__(self)
extras = self._mock_methods or []
from_type = dir(type(self))
from_dict = list(self.__dict__)
from_child_mocks = [
m_name for m_name, m_value in self._mock_children.items()
if m_value is not _deleted]
from_type = [e for e in from_type if not e.startswith('_')]
from_dict = [e for e in from_dict if not e.startswith('_') or
_is_magic(e)]
return sorted(set(extras + from_type + from_dict + from_child_mocks))
def __setattr__(self, name, value):
if name in _allowed_names:
# property setters go through here
return object.__setattr__(self, name, value)
elif (self._spec_set and self._mock_methods is not None and
name not in self._mock_methods and
name not in self.__dict__):
raise AttributeError("Mock object has no attribute '%s'" % name)
elif name in _unsupported_magics:
msg = 'Attempting to set unsupported magic method %r.' % name
raise AttributeError(msg)
elif name in _all_magics:
if self._mock_methods is not None and name not in self._mock_methods:
raise AttributeError("Mock object has no attribute '%s'" % name)
if not _is_instance_mock(value):
setattr(type(self), name, _get_method(name, value))
original = value
value = lambda *args, **kw: original(self, *args, **kw)
else:
# only set _new_name and not name so that mock_calls is tracked
# but not method calls
_check_and_set_parent(self, value, None, name)
setattr(type(self), name, value)
self._mock_children[name] = value
elif name == '__class__':
self._spec_class = value
return
else:
if _check_and_set_parent(self, value, name, name):
self._mock_children[name] = value
if self._mock_sealed and not hasattr(self, name):
mock_name = f'{self._extract_mock_name()}.{name}'
raise AttributeError(f'Cannot set {mock_name}')
return object.__setattr__(self, name, value)
def __delattr__(self, name):
if name in _all_magics and name in type(self).__dict__:
delattr(type(self), name)
if name not in self.__dict__:
# for magic methods that are still MagicProxy objects and
# not set on the instance itself
return
obj = self._mock_children.get(name, _missing)
if name in self.__dict__:
_safe_super(NonCallableMock, self).__delattr__(name)
elif obj is _deleted:
raise AttributeError(name)
if obj is not _missing:
del self._mock_children[name]
self._mock_children[name] = _deleted
def _format_mock_call_signature(self, args, kwargs):
name = self._mock_name or 'mock'
return _format_call_signature(name, args, kwargs)
def _format_mock_failure_message(self, args, kwargs, action='call'):
message = 'expected %s not found.\nExpected: %s\nActual: %s'
expected_string = self._format_mock_call_signature(args, kwargs)
call_args = self.call_args
actual_string = self._format_mock_call_signature(*call_args)
return message % (action, expected_string, actual_string)
def _get_call_signature_from_name(self, name):
"""
* If call objects are asserted against a method/function like obj.meth1
then there could be no name for the call object to lookup. Hence just
return the spec_signature of the method/function being asserted against.
* If the name is not empty then remove () and split by '.' to get
list of names to iterate through the children until a potential
match is found. A child mock is created only during attribute access
so if we get a _SpecState then no attributes of the spec were accessed
and can be safely exited.
"""
if not name:
return self._spec_signature
sig = None
names = name.replace('()', '').split('.')
children = self._mock_children
for name in names:
child = children.get(name)
if child is None or isinstance(child, _SpecState):
break
else:
# If an autospecced object is attached using attach_mock the
# child would be a function with mock object as attribute from
# which signature has to be derived.
child = _extract_mock(child)
children = child._mock_children
sig = child._spec_signature
return sig
def _call_matcher(self, _call):
"""
Given a call (or simply an (args, kwargs) tuple), return a
comparison key suitable for matching with other calls.
This is a best effort method which relies on the spec's signature,
if available, or falls back on the arguments themselves.
"""
if isinstance(_call, tuple) and len(_call) > 2:
sig = self._get_call_signature_from_name(_call[0])
else:
sig = self._spec_signature
if sig is not None:
if len(_call) == 2:
name = ''
args, kwargs = _call
else:
name, args, kwargs = _call
try:
bound_call = sig.bind(*args, **kwargs)
return call(name, bound_call.args, bound_call.kwargs)
except TypeError as e:
return e.with_traceback(None)
else:
return _call
def assert_not_called(self):
"""assert that the mock was never called.
"""
if self.call_count != 0:
msg = ("Expected '%s' to not have been called. Called %s times.%s"
% (self._mock_name or 'mock',
self.call_count,
self._calls_repr()))
raise AssertionError(msg)
def assert_called(self):
"""assert that the mock was called at least once
"""
if self.call_count == 0:
msg = ("Expected '%s' to have been called." %
(self._mock_name or 'mock'))
raise AssertionError(msg)
def assert_called_once(self):
"""assert that the mock was called only once.
"""
if not self.call_count == 1:
msg = ("Expected '%s' to have been called once. Called %s times.%s"
% (self._mock_name or 'mock',
self.call_count,
self._calls_repr()))
raise AssertionError(msg)
def assert_called_with(self, /, *args, **kwargs):
"""assert that the last call was made with the specified arguments.
Raises an AssertionError if the args and keyword args passed in are
different to the last call to the mock."""
if self.call_args is None:
expected = self._format_mock_call_signature(args, kwargs)
actual = 'not called.'
error_message = ('expected call not found.\nExpected: %s\nActual: %s'
% (expected, actual))
raise AssertionError(error_message)
def _error_message():
msg = self._format_mock_failure_message(args, kwargs)
return msg
expected = self._call_matcher(_Call((args, kwargs), two=True))
actual = self._call_matcher(self.call_args)
if actual != expected:
cause = expected if isinstance(expected, Exception) else None
raise AssertionError(_error_message()) from cause
def assert_called_once_with(self, /, *args, **kwargs):
"""assert that the mock was called exactly once and that that call was
with the specified arguments."""
if not self.call_count == 1:
msg = ("Expected '%s' to be called once. Called %s times.%s"
% (self._mock_name or 'mock',
self.call_count,
self._calls_repr()))
raise AssertionError(msg)
return self.assert_called_with(*args, **kwargs)
def assert_has_calls(self, calls, any_order=False):
"""assert the mock has been called with the specified calls.
The `mock_calls` list is checked for the calls.
If `any_order` is False (the default) then the calls must be
sequential. There can be extra calls before or after the
specified calls.
If `any_order` is True then the calls can be in any order, but
they must all appear in `mock_calls`."""
expected = [self._call_matcher(c) for c in calls]
cause = next((e for e in expected if isinstance(e, Exception)), None)
all_calls = _CallList(self._call_matcher(c) for c in self.mock_calls)
if not any_order:
if expected not in all_calls:
if cause is None:
problem = 'Calls not found.'
else:
problem = ('Error processing expected calls.\n'
'Errors: {}').format(
[e if isinstance(e, Exception) else None
for e in expected])
raise AssertionError(
f'{problem}\n'
f'Expected: {_CallList(calls)}'
f'{self._calls_repr(prefix="Actual").rstrip(".")}'
) from cause
return
all_calls = list(all_calls)
not_found = []
for kall in expected:
try:
all_calls.remove(kall)
except ValueError:
not_found.append(kall)
if not_found:
raise AssertionError(
'%r does not contain all of %r in its call list, '
'found %r instead' % (self._mock_name or 'mock',
tuple(not_found), all_calls)
) from cause
def assert_any_call(self, /, *args, **kwargs):
"""assert the mock has been called with the specified arguments.
The assert passes if the mock has *ever* been called, unlike
`assert_called_with` and `assert_called_once_with` that only pass if
the call is the most recent one."""
expected = self._call_matcher(_Call((args, kwargs), two=True))
cause = expected if isinstance(expected, Exception) else None
actual = [self._call_matcher(c) for c in self.call_args_list]
if cause or expected not in _AnyComparer(actual):
expected_string = self._format_mock_call_signature(args, kwargs)
raise AssertionError(
'%s call not found' % expected_string
) from cause
def _get_child_mock(self, /, **kw):
"""Create the child mocks for attributes and return value.
By default child mocks will be the same type as the parent.
Subclasses of Mock may want to override this to customize the way
child mocks are made.
For non-callable mocks the callable variant will be used (rather than
any custom subclass)."""
if self._mock_sealed:
attribute = f".{kw['name']}" if "name" in kw else "()"
mock_name = self._extract_mock_name() + attribute
raise AttributeError(mock_name)
_new_name = kw.get("_new_name")
if _new_name in self.__dict__['_spec_asyncs']:
return AsyncMock(**kw)
_type = type(self)
if issubclass(_type, MagicMock) and _new_name in _async_method_magics:
# Any asynchronous magic becomes an AsyncMock
klass = AsyncMock
elif issubclass(_type, AsyncMockMixin):
if (_new_name in _all_sync_magics or
self._mock_methods and _new_name in self._mock_methods):
# Any synchronous method on AsyncMock becomes a MagicMock
klass = MagicMock
else:
klass = AsyncMock
elif not issubclass(_type, CallableMixin):
if issubclass(_type, NonCallableMagicMock):
klass = MagicMock
elif issubclass(_type, NonCallableMock):
klass = Mock
else:
klass = _type.__mro__[1]
return klass(**kw)
def _calls_repr(self, prefix="Calls"):
"""Renders self.mock_calls as a string.
Example: "\nCalls: [call(1), call(2)]."
If self.mock_calls is empty, an empty string is returned. The
output will be truncated if very long.
"""
if not self.mock_calls:
return ""
return f"\n{prefix}: {safe_repr(self.mock_calls)}."
_MOCK_SIG = inspect.signature(NonCallableMock.__init__)
class _AnyComparer(list):
"""A list which checks if it contains a call which may have an
argument of ANY, flipping the components of item and self from
their traditional locations so that ANY is guaranteed to be on
the left."""
def __contains__(self, item):
for _call in self:
assert len(item) == len(_call)
if all([
expected == actual
for expected, actual in zip(item, _call)
]):
return True
return False
def _try_iter(obj):
if obj is None:
return obj
if _is_exception(obj):
return obj
if _callable(obj):
return obj
try:
return iter(obj)
except TypeError:
# XXXX backwards compatibility
# but this will blow up on first call - so maybe we should fail early?
return obj
class CallableMixin(Base):
def __init__(self, spec=None, side_effect=None, return_value=DEFAULT,
wraps=None, name=None, spec_set=None, parent=None,
_spec_state=None, _new_name='', _new_parent=None, **kwargs):
self.__dict__['_mock_return_value'] = return_value
_safe_super(CallableMixin, self).__init__(
spec, wraps, name, spec_set, parent,
_spec_state, _new_name, _new_parent, **kwargs
)
self.side_effect = side_effect
def _mock_check_sig(self, /, *args, **kwargs):
# stub method that can be replaced with one with a specific signature
pass
def __call__(self, /, *args, **kwargs):
# can't use self in-case a function / method we are mocking uses self
# in the signature
self._mock_check_sig(*args, **kwargs)
self._increment_mock_call(*args, **kwargs)
return self._mock_call(*args, **kwargs)
def _mock_call(self, /, *args, **kwargs):
return self._execute_mock_call(*args, **kwargs)
def _increment_mock_call(self, /, *args, **kwargs):
self.called = True
self.call_count += 1
# handle call_args
# needs to be set here so assertions on call arguments pass before
# execution in the case of awaited calls
_call = _Call((args, kwargs), two=True)
self.call_args = _call
self.call_args_list.append(_call)
# initial stuff for method_calls:
do_method_calls = self._mock_parent is not None
method_call_name = self._mock_name
# initial stuff for mock_calls:
mock_call_name = self._mock_new_name
is_a_call = mock_call_name == '()'
self.mock_calls.append(_Call(('', args, kwargs)))
# follow up the chain of mocks:
_new_parent = self._mock_new_parent
while _new_parent is not None:
# handle method_calls:
if do_method_calls:
_new_parent.method_calls.append(_Call((method_call_name, args, kwargs)))
do_method_calls = _new_parent._mock_parent is not None
if do_method_calls:
method_call_name = _new_parent._mock_name + '.' + method_call_name
# handle mock_calls:
this_mock_call = _Call((mock_call_name, args, kwargs))
_new_parent.mock_calls.append(this_mock_call)
if _new_parent._mock_new_name:
if is_a_call:
dot = ''
else:
dot = '.'
is_a_call = _new_parent._mock_new_name == '()'
mock_call_name = _new_parent._mock_new_name + dot + mock_call_name
# follow the parental chain:
_new_parent = _new_parent._mock_new_parent
def _execute_mock_call(self, /, *args, **kwargs):
# separate from _increment_mock_call so that awaited functions are
# executed separately from their call, also AsyncMock overrides this method
effect = self.side_effect
if effect is not None:
if _is_exception(effect):
raise effect
elif not _callable(effect):
result = next(effect)
if _is_exception(result):
raise result
else:
result = effect(*args, **kwargs)
if result is not DEFAULT:
return result
if self._mock_return_value is not DEFAULT:
return self.return_value
if self._mock_wraps is not None:
return self._mock_wraps(*args, **kwargs)
return self.return_value
[docs]
class Mock(CallableMixin, NonCallableMock):
"""
Create a new `Mock` object. `Mock` takes several optional arguments
that specify the behaviour of the Mock object:
* `spec`: This can be either a list of strings or an existing object (a
class or instance) that acts as the specification for the mock object. If
you pass in an object then a list of strings is formed by calling dir on
the object (excluding unsupported magic attributes and methods). Accessing
any attribute not in this list will raise an `AttributeError`.
If `spec` is an object (rather than a list of strings) then
`mock.__class__` returns the class of the spec object. This allows mocks
to pass `isinstance` tests.
* `spec_set`: A stricter variant of `spec`. If used, attempting to *set*
or get an attribute on the mock that isn't on the object passed as
`spec_set` will raise an `AttributeError`.
* `side_effect`: A function to be called whenever the Mock is called. See
the `side_effect` attribute. Useful for raising exceptions or
dynamically changing return values. The function is called with the same
arguments as the mock, and unless it returns `DEFAULT`, the return
value of this function is used as the return value.
If `side_effect` is an iterable then each call to the mock will return
the next value from the iterable. If any of the members of the iterable
are exceptions they will be raised instead of returned.
* `return_value`: The value returned when the mock is called. By default
this is a new Mock (created on first access). See the
`return_value` attribute.
* `unsafe`: By default, accessing any attribute whose name starts with
*assert*, *assret*, *asert*, *aseert* or *assrt* will raise an
AttributeError. Passing `unsafe=True` will allow access to
these attributes.
* `wraps`: Item for the mock object to wrap. If `wraps` is not None then
calling the Mock will pass the call through to the wrapped object
(returning the real result). Attribute access on the mock will return a
Mock object that wraps the corresponding attribute of the wrapped object
(so attempting to access an attribute that doesn't exist will raise an
`AttributeError`).
If the mock has an explicit `return_value` set then calls are not passed
to the wrapped object and the `return_value` is returned instead.
* `name`: If the mock has a name then it will be used in the repr of the
mock. This can be useful for debugging. The name is propagated to child
mocks.
Mocks can also be called with arbitrary keyword arguments. These will be
used to set attributes on the mock after it is created.
"""
# _check_spec_arg_typos takes kwargs from commands like patch and checks that
# they don't contain common misspellings of arguments related to autospeccing.
def _check_spec_arg_typos(kwargs_to_check):
typos = ("autospect", "auto_spec", "set_spec")
for typo in typos:
if typo in kwargs_to_check:
raise RuntimeError(
f"{typo!r} might be a typo; use unsafe=True if this is intended"
)
class _patch(object):
attribute_name = None
_active_patches = []
def __init__(
self, getter, attribute, new, spec, create,
spec_set, autospec, new_callable, kwargs, *, unsafe=False
):
if new_callable is not None:
if new is not DEFAULT:
raise ValueError(
"Cannot use 'new' and 'new_callable' together"
)
if autospec is not None:
raise ValueError(
"Cannot use 'autospec' and 'new_callable' together"
)
if not unsafe:
_check_spec_arg_typos(kwargs)
if _is_instance_mock(spec):
raise InvalidSpecError(
f'Cannot spec attr {attribute!r} as the spec '
f'has already been mocked out. [spec={spec!r}]')
if _is_instance_mock(spec_set):
raise InvalidSpecError(
f'Cannot spec attr {attribute!r} as the spec_set '
f'target has already been mocked out. [spec_set={spec_set!r}]')
self.getter = getter
self.attribute = attribute
self.new = new
self.new_callable = new_callable
self.spec = spec
self.create = create
self.has_local = False
self.spec_set = spec_set
self.autospec = autospec
self.kwargs = kwargs
self.additional_patchers = []
def copy(self):
patcher = _patch(
self.getter, self.attribute, self.new, self.spec,
self.create, self.spec_set,
self.autospec, self.new_callable, self.kwargs
)
patcher.attribute_name = self.attribute_name
patcher.additional_patchers = [
p.copy() for p in self.additional_patchers
]
return patcher
def __call__(self, func):
if isinstance(func, type):
return self.decorate_class(func)
if inspect.iscoroutinefunction(func):
return self.decorate_async_callable(func)
return self.decorate_callable(func)
def decorate_class(self, klass):
for attr in dir(klass):
if not attr.startswith(patch.TEST_PREFIX):
continue
attr_value = getattr(klass, attr)
if not hasattr(attr_value, "__call__"):
continue
patcher = self.copy()
setattr(klass, attr, patcher(attr_value))
return klass
@contextlib.contextmanager
def decoration_helper(self, patched, args, keywargs):
extra_args = []
with contextlib.ExitStack() as exit_stack:
for patching in patched.patchings:
arg = exit_stack.enter_context(patching)
if patching.attribute_name is not None:
keywargs.update(arg)
elif patching.new is DEFAULT:
extra_args.append(arg)
args += tuple(extra_args)
yield (args, keywargs)
def decorate_callable(self, func):
# NB. Keep the method in sync with decorate_async_callable()
if hasattr(func, 'patchings'):
func.patchings.append(self)
return func
@wraps(func)
def patched(*args, **keywargs):
with self.decoration_helper(patched,
args,
keywargs) as (newargs, newkeywargs):
return func(*newargs, **newkeywargs)
patched.patchings = [self]
return patched
def decorate_async_callable(self, func):
# NB. Keep the method in sync with decorate_callable()
if hasattr(func, 'patchings'):
func.patchings.append(self)
return func
@wraps(func)
async def patched(*args, **keywargs):
with self.decoration_helper(patched,
args,
keywargs) as (newargs, newkeywargs):
return await func(*newargs, **newkeywargs)
patched.patchings = [self]
return patched
def get_original(self):
target = self.getter()
name = self.attribute
original = DEFAULT
local = False
try:
original = target.__dict__[name]
except (AttributeError, KeyError):
original = getattr(target, name, DEFAULT)
else:
local = True
if name in _builtins and isinstance(target, ModuleType):
self.create = True
if not self.create and original is DEFAULT:
raise AttributeError(
"%s does not have the attribute %r" % (target, name)
)
return original, local
def __enter__(self):
"""Perform the patch."""
new, spec, spec_set = self.new, self.spec, self.spec_set
autospec, kwargs = self.autospec, self.kwargs
new_callable = self.new_callable
self.target = self.getter()
# normalise False to None
if spec is False:
spec = None
if spec_set is False:
spec_set = None
if autospec is False:
autospec = None
if spec is not None and autospec is not None:
raise TypeError("Can't specify spec and autospec")
if ((spec is not None or autospec is not None) and
spec_set not in (True, None)):
raise TypeError("Can't provide explicit spec_set *and* spec or autospec")
original, local = self.get_original()
if new is DEFAULT and autospec is None:
inherit = False
if spec is True:
# set spec to the object we are replacing
spec = original
if spec_set is True:
spec_set = original
spec = None
elif spec is not None:
if spec_set is True:
spec_set = spec
spec = None
elif spec_set is True:
spec_set = original
if spec is not None or spec_set is not None:
if original is DEFAULT:
raise TypeError("Can't use 'spec' with create=True")
if isinstance(original, type):
# If we're patching out a class and there is a spec
inherit = True
if spec is None and _is_async_obj(original):
Klass = AsyncMock
else:
Klass = MagicMock
_kwargs = {}
if new_callable is not None:
Klass = new_callable
elif spec is not None or spec_set is not None:
this_spec = spec
if spec_set is not None:
this_spec = spec_set
if _is_list(this_spec):
not_callable = '__call__' not in this_spec
else:
not_callable = not callable(this_spec)
if _is_async_obj(this_spec):
Klass = AsyncMock
elif not_callable:
Klass = NonCallableMagicMock
if spec is not None:
_kwargs['spec'] = spec
if spec_set is not None:
_kwargs['spec_set'] = spec_set
# add a name to mocks
if (isinstance(Klass, type) and
issubclass(Klass, NonCallableMock) and self.attribute):
_kwargs['name'] = self.attribute
_kwargs.update(kwargs)
new = Klass(**_kwargs)
if inherit and _is_instance_mock(new):
# we can only tell if the instance should be callable if the
# spec is not a list
this_spec = spec
if spec_set is not None:
this_spec = spec_set
if (not _is_list(this_spec) and not
_instance_callable(this_spec)):
Klass = NonCallableMagicMock
_kwargs.pop('name')
new.return_value = Klass(_new_parent=new, _new_name='()',
**_kwargs)
elif autospec is not None:
# spec is ignored, new *must* be default, spec_set is treated
# as a boolean. Should we check spec is not None and that spec_set
# is a bool?
if new is not DEFAULT:
raise TypeError(
"autospec creates the mock for you. Can't specify "
"autospec and new."
)
if original is DEFAULT:
raise TypeError("Can't use 'autospec' with create=True")
spec_set = bool(spec_set)
if autospec is True:
autospec = original
if _is_instance_mock(self.target):
raise InvalidSpecError(
f'Cannot autospec attr {self.attribute!r} as the patch '
f'target has already been mocked out. '
f'[target={self.target!r}, attr={autospec!r}]')
if _is_instance_mock(autospec):
target_name = getattr(self.target, '__name__', self.target)
raise InvalidSpecError(
f'Cannot autospec attr {self.attribute!r} from target '
f'{target_name!r} as it has already been mocked out. '
f'[target={self.target!r}, attr={autospec!r}]')
new = create_autospec(autospec, spec_set=spec_set,
_name=self.attribute, **kwargs)
elif kwargs:
# can't set keyword args when we aren't creating the mock
# XXXX If new is a Mock we could call new.configure_mock(**kwargs)
raise TypeError("Can't pass kwargs to a mock we aren't creating")
new_attr = new
self.temp_original = original
self.is_local = local
self._exit_stack = contextlib.ExitStack()
try:
setattr(self.target, self.attribute, new_attr)
if self.attribute_name is not None:
extra_args = {}
if self.new is DEFAULT:
extra_args[self.attribute_name] = new
for patching in self.additional_patchers:
arg = self._exit_stack.enter_context(patching)
if patching.new is DEFAULT:
extra_args.update(arg)
return extra_args
return new
except:
if not self.__exit__(*sys.exc_info()):
raise
def __exit__(self, *exc_info):
"""Undo the patch."""
if self.is_local and self.temp_original is not DEFAULT:
setattr(self.target, self.attribute, self.temp_original)
else:
delattr(self.target, self.attribute)
if not self.create and (not hasattr(self.target, self.attribute) or
self.attribute in ('__doc__', '__module__',
'__defaults__', '__annotations__',
'__kwdefaults__')):
# needed for proxy objects like django settings
setattr(self.target, self.attribute, self.temp_original)
del self.temp_original
del self.is_local
del self.target
exit_stack = self._exit_stack
del self._exit_stack
return exit_stack.__exit__(*exc_info)
def start(self):
"""Activate a patch, returning any created mock."""
result = self.__enter__()
self._active_patches.append(self)
return result
def stop(self):
"""Stop an active patch."""
try:
self._active_patches.remove(self)
except ValueError:
# If the patch hasn't been started this will fail
return None
return self.__exit__(None, None, None)
def _get_target(target):
try:
target, attribute = target.rsplit('.', 1)
except (TypeError, ValueError, AttributeError):
raise TypeError(
f"Need a valid target to patch. You supplied: {target!r}")
return partial(pkgutil.resolve_name, target), attribute
def _patch_object(
target, attribute, new=DEFAULT, spec=None,
create=False, spec_set=None, autospec=None,
new_callable=None, *, unsafe=False, **kwargs
):
"""
patch the named member (`attribute`) on an object (`target`) with a mock
object.
`patch.object` can be used as a decorator, class decorator or a context
manager. Arguments `new`, `spec`, `create`, `spec_set`,
`autospec` and `new_callable` have the same meaning as for `patch`. Like
`patch`, `patch.object` takes arbitrary keyword arguments for configuring
the mock object it creates.
When used as a class decorator `patch.object` honours `patch.TEST_PREFIX`
for choosing which methods to wrap.
"""
if type(target) is str:
raise TypeError(
f"{target!r} must be the actual object to be patched, not a str"
)
getter = lambda: target
return _patch(
getter, attribute, new, spec, create,
spec_set, autospec, new_callable, kwargs, unsafe=unsafe
)
def _patch_multiple(target, spec=None, create=False, spec_set=None,
autospec=None, new_callable=None, **kwargs):
"""Perform multiple patches in a single call. It takes the object to be
patched (either as an object or a string to fetch the object by importing)
and keyword arguments for the patches::
with patch.multiple(settings, FIRST_PATCH='one', SECOND_PATCH='two'):
...
Use `DEFAULT` as the value if you want `patch.multiple` to create
mocks for you. In this case the created mocks are passed into a decorated
function by keyword, and a dictionary is returned when `patch.multiple` is
used as a context manager.
`patch.multiple` can be used as a decorator, class decorator or a context
manager. The arguments `spec`, `spec_set`, `create`,
`autospec` and `new_callable` have the same meaning as for `patch`. These
arguments will be applied to *all* patches done by `patch.multiple`.
When used as a class decorator `patch.multiple` honours `patch.TEST_PREFIX`
for choosing which methods to wrap.
"""
if type(target) is str:
getter = partial(pkgutil.resolve_name, target)
else:
getter = lambda: target
if not kwargs:
raise ValueError(
'Must supply at least one keyword argument with patch.multiple'
)
# need to wrap in a list for python 3, where items is a view
items = list(kwargs.items())
attribute, new = items[0]
patcher = _patch(
getter, attribute, new, spec, create, spec_set,
autospec, new_callable, {}
)
patcher.attribute_name = attribute
for attribute, new in items[1:]:
this_patcher = _patch(
getter, attribute, new, spec, create, spec_set,
autospec, new_callable, {}
)
this_patcher.attribute_name = attribute
patcher.additional_patchers.append(this_patcher)
return patcher
def patch(
target, new=DEFAULT, spec=None, create=False,
spec_set=None, autospec=None, new_callable=None, *, unsafe=False, **kwargs
):
"""
`patch` acts as a function decorator, class decorator or a context
manager. Inside the body of the function or with statement, the `target`
is patched with a `new` object. When the function/with statement exits
the patch is undone.
If `new` is omitted, then the target is replaced with an
`AsyncMock if the patched object is an async function or a
`MagicMock` otherwise. If `patch` is used as a decorator and `new` is
omitted, the created mock is passed in as an extra argument to the
decorated function. If `patch` is used as a context manager the created
mock is returned by the context manager.
`target` should be a string in the form `'package.module.ClassName'`. The
`target` is imported and the specified object replaced with the `new`
object, so the `target` must be importable from the environment you are
calling `patch` from. The target is imported when the decorated function
is executed, not at decoration time.
The `spec` and `spec_set` keyword arguments are passed to the `MagicMock`
if patch is creating one for you.
In addition you can pass `spec=True` or `spec_set=True`, which causes
patch to pass in the object being mocked as the spec/spec_set object.
`new_callable` allows you to specify a different class, or callable object,
that will be called to create the `new` object. By default `AsyncMock` is
used for async functions and `MagicMock` for the rest.
A more powerful form of `spec` is `autospec`. If you set `autospec=True`
then the mock will be created with a spec from the object being replaced.
All attributes of the mock will also have the spec of the corresponding
attribute of the object being replaced. Methods and functions being
mocked will have their arguments checked and will raise a `TypeError` if
they are called with the wrong signature. For mocks replacing a class,
their return value (the 'instance') will have the same spec as the class.
Instead of `autospec=True` you can pass `autospec=some_object` to use an
arbitrary object as the spec instead of the one being replaced.
By default `patch` will fail to replace attributes that don't exist. If
you pass in `create=True`, and the attribute doesn't exist, patch will
create the attribute for you when the patched function is called, and
delete it again afterwards. This is useful for writing tests against
attributes that your production code creates at runtime. It is off by
default because it can be dangerous. With it switched on you can write
passing tests against APIs that don't actually exist!
Patch can be used as a `TestCase` class decorator. It works by
decorating each test method in the class. This reduces the boilerplate
code when your test methods share a common patchings set. `patch` finds
tests by looking for method names that start with `patch.TEST_PREFIX`.
By default this is `test`, which matches the way `unittest` finds tests.
You can specify an alternative prefix by setting `patch.TEST_PREFIX`.
Patch can be used as a context manager, with the with statement. Here the
patching applies to the indented block after the with statement. If you
use "as" then the patched object will be bound to the name after the
"as"; very useful if `patch` is creating a mock object for you.
Patch will raise a `RuntimeError` if passed some common misspellings of
the arguments autospec and spec_set. Pass the argument `unsafe` with the
value True to disable that check.
`patch` takes arbitrary keyword arguments. These will be passed to
`AsyncMock` if the patched object is asynchronous, to `MagicMock`
otherwise or to `new_callable` if specified.
`patch.dict(...)`, `patch.multiple(...)` and `patch.object(...)` are
available for alternate use-cases.
"""
getter, attribute = _get_target(target)
return _patch(
getter, attribute, new, spec, create,
spec_set, autospec, new_callable, kwargs, unsafe=unsafe
)
class _patch_dict(object):
"""
Patch a dictionary, or dictionary like object, and restore the dictionary
to its original state after the test.
`in_dict` can be a dictionary or a mapping like container. If it is a
mapping then it must at least support getting, setting and deleting items
plus iterating over keys.
`in_dict` can also be a string specifying the name of the dictionary, which
will then be fetched by importing it.
`values` can be a dictionary of values to set in the dictionary. `values`
can also be an iterable of `(key, value)` pairs.
If `clear` is True then the dictionary will be cleared before the new
values are set.
`patch.dict` can also be called with arbitrary keyword arguments to set
values in the dictionary::
with patch.dict('sys.modules', mymodule=Mock(), other_module=Mock()):
...
`patch.dict` can be used as a context manager, decorator or class
decorator. When used as a class decorator `patch.dict` honours
`patch.TEST_PREFIX` for choosing which methods to wrap.
"""
def __init__(self, in_dict, values=(), clear=False, **kwargs):
self.in_dict = in_dict
# support any argument supported by dict(...) constructor
self.values = dict(values)
self.values.update(kwargs)
self.clear = clear
self._original = None
def __call__(self, f):
if isinstance(f, type):
return self.decorate_class(f)
if inspect.iscoroutinefunction(f):
return self.decorate_async_callable(f)
return self.decorate_callable(f)
def decorate_callable(self, f):
@wraps(f)
def _inner(*args, **kw):
self._patch_dict()
try:
return f(*args, **kw)
finally:
self._unpatch_dict()
return _inner
def decorate_async_callable(self, f):
@wraps(f)
async def _inner(*args, **kw):
self._patch_dict()
try:
return await f(*args, **kw)
finally:
self._unpatch_dict()
return _inner
def decorate_class(self, klass):
for attr in dir(klass):
attr_value = getattr(klass, attr)
if (attr.startswith(patch.TEST_PREFIX) and
hasattr(attr_value, "__call__")):
decorator = _patch_dict(self.in_dict, self.values, self.clear)
decorated = decorator(attr_value)
setattr(klass, attr, decorated)
return klass
def __enter__(self):
"""Patch the dict."""
self._patch_dict()
return self.in_dict
def _patch_dict(self):
values = self.values
if isinstance(self.in_dict, str):
self.in_dict = pkgutil.resolve_name(self.in_dict)
in_dict = self.in_dict
clear = self.clear
try:
original = in_dict.copy()
except AttributeError:
# dict like object with no copy method
# must support iteration over keys
original = {}
for key in in_dict:
original[key] = in_dict[key]
self._original = original
if clear:
_clear_dict(in_dict)
try:
in_dict.update(values)
except AttributeError:
# dict like object with no update method
for key in values:
in_dict[key] = values[key]
def _unpatch_dict(self):
in_dict = self.in_dict
original = self._original
_clear_dict(in_dict)
try:
in_dict.update(original)
except AttributeError:
for key in original:
in_dict[key] = original[key]
def __exit__(self, *args):
"""Unpatch the dict."""
if self._original is not None:
self._unpatch_dict()
return False
def start(self):
"""Activate a patch, returning any created mock."""
result = self.__enter__()
_patch._active_patches.append(self)
return result
def stop(self):
"""Stop an active patch."""
try:
_patch._active_patches.remove(self)
except ValueError:
# If the patch hasn't been started this will fail
return None
return self.__exit__(None, None, None)
def _clear_dict(in_dict):
try:
in_dict.clear()
except AttributeError:
keys = list(in_dict)
for key in keys:
del in_dict[key]
def _patch_stopall():
"""Stop all active patches. LIFO to unroll nested patches."""
for patch in reversed(_patch._active_patches):
patch.stop()
patch.object = _patch_object
patch.dict = _patch_dict
patch.multiple = _patch_multiple
patch.stopall = _patch_stopall
patch.TEST_PREFIX = 'test'
magic_methods = (
"lt le gt ge eq ne "
"getitem setitem delitem "
"len contains iter "
"hash str sizeof "
"enter exit "
# we added divmod and rdivmod here instead of numerics
# because there is no idivmod
"divmod rdivmod neg pos abs invert "
"complex int float index "
"round trunc floor ceil "
"bool next "
"fspath "
"aiter "
)
numerics = (
"add sub mul matmul truediv floordiv mod lshift rshift and xor or pow"
)
inplace = ' '.join('i%s' % n for n in numerics.split())
right = ' '.join('r%s' % n for n in numerics.split())
# not including __prepare__, __instancecheck__, __subclasscheck__
# (as they are metaclass methods)
# __del__ is not supported at all as it causes problems if it exists
_non_defaults = {
'__get__', '__set__', '__delete__', '__reversed__', '__missing__',
'__reduce__', '__reduce_ex__', '__getinitargs__', '__getnewargs__',
'__getstate__', '__setstate__', '__getformat__',
'__repr__', '__dir__', '__subclasses__', '__format__',
'__getnewargs_ex__',
}
def _get_method(name, func):
"Turns a callable object (like a mock) into a real function"
def method(self, /, *args, **kw):
return func(self, *args, **kw)
method.__name__ = name
return method
_magics = {
'__%s__' % method for method in
' '.join([magic_methods, numerics, inplace, right]).split()
}
# Magic methods used for async `with` statements
_async_method_magics = {"__aenter__", "__aexit__", "__anext__"}
# Magic methods that are only used with async calls but are synchronous functions themselves
_sync_async_magics = {"__aiter__"}
_async_magics = _async_method_magics | _sync_async_magics
_all_sync_magics = _magics | _non_defaults
_all_magics = _all_sync_magics | _async_magics
_unsupported_magics = {
'__getattr__', '__setattr__',
'__init__', '__new__', '__prepare__',
'__instancecheck__', '__subclasscheck__',
'__del__'
}
_calculate_return_value = {
'__hash__': lambda self: object.__hash__(self),
'__str__': lambda self: object.__str__(self),
'__sizeof__': lambda self: object.__sizeof__(self),
'__fspath__': lambda self: f"{type(self).__name__}/{self._extract_mock_name()}/{id(self)}",
}
_return_values = {
'__lt__': NotImplemented,
'__gt__': NotImplemented,
'__le__': NotImplemented,
'__ge__': NotImplemented,
'__int__': 1,
'__contains__': False,
'__len__': 0,
'__exit__': False,
'__complex__': 1j,
'__float__': 1.0,
'__bool__': True,
'__index__': 1,
'__aexit__': False,
}
def _get_eq(self):
def __eq__(other):
ret_val = self.__eq__._mock_return_value
if ret_val is not DEFAULT:
return ret_val
if self is other:
return True
return NotImplemented
return __eq__
def _get_ne(self):
def __ne__(other):
if self.__ne__._mock_return_value is not DEFAULT:
return DEFAULT
if self is other:
return False
return NotImplemented
return __ne__
def _get_iter(self):
def __iter__():
ret_val = self.__iter__._mock_return_value
if ret_val is DEFAULT:
return iter([])
# if ret_val was already an iterator, then calling iter on it should
# return the iterator unchanged
return iter(ret_val)
return __iter__
def _get_async_iter(self):
def __aiter__():
ret_val = self.__aiter__._mock_return_value
if ret_val is DEFAULT:
return _AsyncIterator(iter([]))
return _AsyncIterator(iter(ret_val))
return __aiter__
_side_effect_methods = {
'__eq__': _get_eq,
'__ne__': _get_ne,
'__iter__': _get_iter,
'__aiter__': _get_async_iter
}
def _set_return_value(mock, method, name):
fixed = _return_values.get(name, DEFAULT)
if fixed is not DEFAULT:
method.return_value = fixed
return
return_calculator = _calculate_return_value.get(name)
if return_calculator is not None:
return_value = return_calculator(mock)
method.return_value = return_value
return
side_effector = _side_effect_methods.get(name)
if side_effector is not None:
method.side_effect = side_effector(mock)
class MagicMixin(Base):
def __init__(self, /, *args, **kw):
self._mock_set_magics() # make magic work for kwargs in init
_safe_super(MagicMixin, self).__init__(*args, **kw)
self._mock_set_magics() # fix magic broken by upper level init
def _mock_set_magics(self):
orig_magics = _magics | _async_method_magics
these_magics = orig_magics
if getattr(self, "_mock_methods", None) is not None:
these_magics = orig_magics.intersection(self._mock_methods)
remove_magics = set()
remove_magics = orig_magics - these_magics
for entry in remove_magics:
if entry in type(self).__dict__:
# remove unneeded magic methods
delattr(self, entry)
# don't overwrite existing attributes if called a second time
these_magics = these_magics - set(type(self).__dict__)
_type = type(self)
for entry in these_magics:
setattr(_type, entry, MagicProxy(entry, self))
class NonCallableMagicMock(MagicMixin, NonCallableMock):
"""A version of `MagicMock` that isn't callable."""
def mock_add_spec(self, spec, spec_set=False):
"""Add a spec to a mock. `spec` can either be an object or a
list of strings. Only attributes on the `spec` can be fetched as
attributes from the mock.
If `spec_set` is True then only attributes on the spec can be set."""
self._mock_add_spec(spec, spec_set)
self._mock_set_magics()
class AsyncMagicMixin(MagicMixin):
def __init__(self, /, *args, **kw):
self._mock_set_magics() # make magic work for kwargs in init
_safe_super(AsyncMagicMixin, self).__init__(*args, **kw)
self._mock_set_magics() # fix magic broken by upper level init
class MagicMock(MagicMixin, Mock):
"""
MagicMock is a subclass of Mock with default implementations
of most of the magic methods. You can use MagicMock without having to
configure the magic methods yourself.
If you use the `spec` or `spec_set` arguments then *only* magic
methods that exist in the spec will be created.
Attributes and the return value of a `MagicMock` will also be `MagicMocks`.
"""
def mock_add_spec(self, spec, spec_set=False):
"""Add a spec to a mock. `spec` can either be an object or a
list of strings. Only attributes on the `spec` can be fetched as
attributes from the mock.
If `spec_set` is True then only attributes on the spec can be set."""
self._mock_add_spec(spec, spec_set)
self._mock_set_magics()
class MagicProxy(Base):
def __init__(self, name, parent):
self.name = name
self.parent = parent
def create_mock(self):
entry = self.name
parent = self.parent
m = parent._get_child_mock(name=entry, _new_name=entry,
_new_parent=parent)
setattr(parent, entry, m)
_set_return_value(parent, m, entry)
return m
def __get__(self, obj, _type=None):
return self.create_mock()
class AsyncMockMixin(Base):
await_count = _delegating_property('await_count')
await_args = _delegating_property('await_args')
await_args_list = _delegating_property('await_args_list')
def __init__(self, /, *args, **kwargs):
super().__init__(*args, **kwargs)
# iscoroutinefunction() checks _is_coroutine property to say if an
# object is a coroutine. Without this check it looks to see if it is a
# function/method, which in this case it is not (since it is an
# AsyncMock).
# It is set through __dict__ because when spec_set is True, this
# attribute is likely undefined.
self.__dict__['_is_coroutine'] = asyncio.coroutines._is_coroutine
self.__dict__['_mock_await_count'] = 0
self.__dict__['_mock_await_args'] = None
self.__dict__['_mock_await_args_list'] = _CallList()
code_mock = NonCallableMock(spec_set=CodeType)
code_mock.co_flags = (
inspect.CO_COROUTINE
+ inspect.CO_VARARGS
+ inspect.CO_VARKEYWORDS
)
code_mock.co_argcount = 0
code_mock.co_varnames = ('args', 'kwargs')
code_mock.co_posonlyargcount = 0
code_mock.co_kwonlyargcount = 0
self.__dict__['__code__'] = code_mock
self.__dict__['__name__'] = 'AsyncMock'
self.__dict__['__defaults__'] = tuple()
self.__dict__['__kwdefaults__'] = {}
self.__dict__['__annotations__'] = None
async def _execute_mock_call(self, /, *args, **kwargs):
# This is nearly just like super(), except for special handling
# of coroutines
_call = _Call((args, kwargs), two=True)
self.await_count += 1
self.await_args = _call
self.await_args_list.append(_call)
effect = self.side_effect
if effect is not None:
if _is_exception(effect):
raise effect
elif not _callable(effect):
try:
result = next(effect)
except StopIteration:
# It is impossible to propagate a StopIteration
# through coroutines because of PEP 479
raise StopAsyncIteration
if _is_exception(result):
raise result
elif iscoroutinefunction(effect):
result = await effect(*args, **kwargs)
else:
result = effect(*args, **kwargs)
if result is not DEFAULT:
return result
if self._mock_return_value is not DEFAULT:
return self.return_value
if self._mock_wraps is not None:
if iscoroutinefunction(self._mock_wraps):
return await self._mock_wraps(*args, **kwargs)
return self._mock_wraps(*args, **kwargs)
return self.return_value
def assert_awaited(self):
"""
Assert that the mock was awaited at least once.
"""
if self.await_count == 0:
msg = f"Expected {self._mock_name or 'mock'} to have been awaited."
raise AssertionError(msg)
def assert_awaited_once(self):
"""
Assert that the mock was awaited exactly once.
"""
if not self.await_count == 1:
msg = (f"Expected {self._mock_name or 'mock'} to have been awaited once."
f" Awaited {self.await_count} times.")
raise AssertionError(msg)
def assert_awaited_with(self, /, *args, **kwargs):
"""
Assert that the last await was with the specified arguments.
"""
if self.await_args is None:
expected = self._format_mock_call_signature(args, kwargs)
raise AssertionError(f'Expected await: {expected}\nNot awaited')
def _error_message():
msg = self._format_mock_failure_message(args, kwargs, action='await')
return msg
expected = self._call_matcher(_Call((args, kwargs), two=True))
actual = self._call_matcher(self.await_args)
if actual != expected:
cause = expected if isinstance(expected, Exception) else None
raise AssertionError(_error_message()) from cause
def assert_awaited_once_with(self, /, *args, **kwargs):
"""
Assert that the mock was awaited exactly once and with the specified
arguments.
"""
if not self.await_count == 1:
msg = (f"Expected {self._mock_name or 'mock'} to have been awaited once."
f" Awaited {self.await_count} times.")
raise AssertionError(msg)
return self.assert_awaited_with(*args, **kwargs)
def assert_any_await(self, /, *args, **kwargs):
"""
Assert the mock has ever been awaited with the specified arguments.
"""
expected = self._call_matcher(_Call((args, kwargs), two=True))
cause = expected if isinstance(expected, Exception) else None
actual = [self._call_matcher(c) for c in self.await_args_list]
if cause or expected not in _AnyComparer(actual):
expected_string = self._format_mock_call_signature(args, kwargs)
raise AssertionError(
'%s await not found' % expected_string
) from cause
def assert_has_awaits(self, calls, any_order=False):
"""
Assert the mock has been awaited with the specified calls.
The :attr:`await_args_list` list is checked for the awaits.
If `any_order` is False (the default) then the awaits must be
sequential. There can be extra calls before or after the
specified awaits.
If `any_order` is True then the awaits can be in any order, but
they must all appear in :attr:`await_args_list`.
"""
expected = [self._call_matcher(c) for c in calls]
cause = next((e for e in expected if isinstance(e, Exception)), None)
all_awaits = _CallList(self._call_matcher(c) for c in self.await_args_list)
if not any_order:
if expected not in all_awaits:
if cause is None:
problem = 'Awaits not found.'
else:
problem = ('Error processing expected awaits.\n'
'Errors: {}').format(
[e if isinstance(e, Exception) else None
for e in expected])
raise AssertionError(
f'{problem}\n'
f'Expected: {_CallList(calls)}\n'
f'Actual: {self.await_args_list}'
) from cause
return
all_awaits = list(all_awaits)
not_found = []
for kall in expected:
try:
all_awaits.remove(kall)
except ValueError:
not_found.append(kall)
if not_found:
raise AssertionError(
'%r not all found in await list' % (tuple(not_found),)
) from cause
def assert_not_awaited(self):
"""
Assert that the mock was never awaited.
"""
if self.await_count != 0:
msg = (f"Expected {self._mock_name or 'mock'} to not have been awaited."
f" Awaited {self.await_count} times.")
raise AssertionError(msg)
def reset_mock(self, /, *args, **kwargs):
"""
See :func:`.Mock.reset_mock()`
"""
super().reset_mock(*args, **kwargs)
self.await_count = 0
self.await_args = None
self.await_args_list = _CallList()
class AsyncMock(AsyncMockMixin, AsyncMagicMixin, Mock):
"""
Enhance :class:`Mock` with features allowing to mock
an async function.
The :class:`AsyncMock` object will behave so the object is
recognized as an async function, and the result of a call is an awaitable:
>>> mock = AsyncMock()
>>> iscoroutinefunction(mock)
True
>>> inspect.isawaitable(mock())
True
The result of ``mock()`` is an async function which will have the outcome
of ``side_effect`` or ``return_value``:
- if ``side_effect`` is a function, the async function will return the
result of that function,
- if ``side_effect`` is an exception, the async function will raise the
exception,
- if ``side_effect`` is an iterable, the async function will return the
next value of the iterable, however, if the sequence of result is
exhausted, ``StopIteration`` is raised immediately,
- if ``side_effect`` is not defined, the async function will return the
value defined by ``return_value``, hence, by default, the async function
returns a new :class:`AsyncMock` object.
If the outcome of ``side_effect`` or ``return_value`` is an async function,
the mock async function obtained when the mock object is called will be this
async function itself (and not an async function returning an async
function).
The test author can also specify a wrapped object with ``wraps``. In this
case, the :class:`Mock` object behavior is the same as with an
:class:`.Mock` object: the wrapped object may have methods
defined as async function functions.
Based on Martin Richard's asynctest project.
"""
class _ANY(object):
"A helper object that compares equal to everything."
def __eq__(self, other):
return True
def __ne__(self, other):
return False
def __repr__(self):
return '<ANY>'
ANY = _ANY()
def _format_call_signature(name, args, kwargs):
message = '%s(%%s)' % name
formatted_args = ''
args_string = ', '.join([repr(arg) for arg in args])
kwargs_string = ', '.join([
'%s=%r' % (key, value) for key, value in kwargs.items()
])
if args_string:
formatted_args = args_string
if kwargs_string:
if formatted_args:
formatted_args += ', '
formatted_args += kwargs_string
return message % formatted_args
class _Call(tuple):
"""
A tuple for holding the results of a call to a mock, either in the form
`(args, kwargs)` or `(name, args, kwargs)`.
If args or kwargs are empty then a call tuple will compare equal to
a tuple without those values. This makes comparisons less verbose::
_Call(('name', (), {})) == ('name',)
_Call(('name', (1,), {})) == ('name', (1,))
_Call(((), {'a': 'b'})) == ({'a': 'b'},)
The `_Call` object provides a useful shortcut for comparing with call::
_Call(((1, 2), {'a': 3})) == call(1, 2, a=3)
_Call(('foo', (1, 2), {'a': 3})) == call.foo(1, 2, a=3)
If the _Call has no name then it will match any name.
"""
def __new__(cls, value=(), name='', parent=None, two=False,
from_kall=True):
args = ()
kwargs = {}
_len = len(value)
if _len == 3:
name, args, kwargs = value
elif _len == 2:
first, second = value
if isinstance(first, str):
name = first
if isinstance(second, tuple):
args = second
else:
kwargs = second
else:
args, kwargs = first, second
elif _len == 1:
value, = value
if isinstance(value, str):
name = value
elif isinstance(value, tuple):
args = value
else:
kwargs = value
if two:
return tuple.__new__(cls, (args, kwargs))
return tuple.__new__(cls, (name, args, kwargs))
def __init__(self, value=(), name=None, parent=None, two=False,
from_kall=True):
self._mock_name = name
self._mock_parent = parent
self._mock_from_kall = from_kall
def __eq__(self, other):
try:
len_other = len(other)
except TypeError:
return NotImplemented
self_name = ''
if len(self) == 2:
self_args, self_kwargs = self
else:
self_name, self_args, self_kwargs = self
if (getattr(self, '_mock_parent', None) and getattr(other, '_mock_parent', None)
and self._mock_parent != other._mock_parent):
return False
other_name = ''
if len_other == 0:
other_args, other_kwargs = (), {}
elif len_other == 3:
other_name, other_args, other_kwargs = other
elif len_other == 1:
value, = other
if isinstance(value, tuple):
other_args = value
other_kwargs = {}
elif isinstance(value, str):
other_name = value
other_args, other_kwargs = (), {}
else:
other_args = ()
other_kwargs = value
elif len_other == 2:
# could be (name, args) or (name, kwargs) or (args, kwargs)
first, second = other
if isinstance(first, str):
other_name = first
if isinstance(second, tuple):
other_args, other_kwargs = second, {}
else:
other_args, other_kwargs = (), second
else:
other_args, other_kwargs = first, second
else:
return False
if self_name and other_name != self_name:
return False
# this order is important for ANY to work!
return (other_args, other_kwargs) == (self_args, self_kwargs)
__ne__ = object.__ne__
def __call__(self, /, *args, **kwargs):
if self._mock_name is None:
return _Call(('', args, kwargs), name='()')
name = self._mock_name + '()'
return _Call((self._mock_name, args, kwargs), name=name, parent=self)
def __getattr__(self, attr):
if self._mock_name is None:
return _Call(name=attr, from_kall=False)
name = '%s.%s' % (self._mock_name, attr)
return _Call(name=name, parent=self, from_kall=False)
def __getattribute__(self, attr):
if attr in tuple.__dict__:
raise AttributeError
return tuple.__getattribute__(self, attr)
def _get_call_arguments(self):
if len(self) == 2:
args, kwargs = self
else:
name, args, kwargs = self
return args, kwargs
@property
def args(self):
return self._get_call_arguments()[0]
@property
def kwargs(self):
return self._get_call_arguments()[1]
def __repr__(self):
if not self._mock_from_kall:
name = self._mock_name or 'call'
if name.startswith('()'):
name = 'call%s' % name
return name
if len(self) == 2:
name = 'call'
args, kwargs = self
else:
name, args, kwargs = self
if not name:
name = 'call'
elif not name.startswith('()'):
name = 'call.%s' % name
else:
name = 'call%s' % name
return _format_call_signature(name, args, kwargs)
def call_list(self):
"""For a call object that represents multiple calls, `call_list`
returns a list of all the intermediate calls as well as the
final call."""
vals = []
thing = self
while thing is not None:
if thing._mock_from_kall:
vals.append(thing)
thing = thing._mock_parent
return _CallList(reversed(vals))
call = _Call(from_kall=False)
def create_autospec(spec, spec_set=False, instance=False, _parent=None,
_name=None, *, unsafe=False, **kwargs):
"""Create a mock object using another object as a spec. Attributes on the
mock will use the corresponding attribute on the `spec` object as their
spec.
Functions or methods being mocked will have their arguments checked
to check that they are called with the correct signature.
If `spec_set` is True then attempting to set attributes that don't exist
on the spec object will raise an `AttributeError`.
If a class is used as a spec then the return value of the mock (the
instance of the class) will have the same spec. You can use a class as the
spec for an instance object by passing `instance=True`. The returned mock
will only be callable if instances of the mock are callable.
`create_autospec` will raise a `RuntimeError` if passed some common
misspellings of the arguments autospec and spec_set. Pass the argument
`unsafe` with the value True to disable that check.
`create_autospec` also takes arbitrary keyword arguments that are passed to
the constructor of the created mock."""
if _is_list(spec):
# can't pass a list instance to the mock constructor as it will be
# interpreted as a list of strings
spec = type(spec)
is_type = isinstance(spec, type)
if _is_instance_mock(spec):
raise InvalidSpecError(f'Cannot autospec a Mock object. '
f'[object={spec!r}]')
is_async_func = _is_async_func(spec)
_kwargs = {'spec': spec}
if spec_set:
_kwargs = {'spec_set': spec}
elif spec is None:
# None we mock with a normal mock without a spec
_kwargs = {}
if _kwargs and instance:
_kwargs['_spec_as_instance'] = True
if not unsafe:
_check_spec_arg_typos(kwargs)
_kwargs.update(kwargs)
Klass = MagicMock
if inspect.isdatadescriptor(spec):
# descriptors don't have a spec
# because we don't know what type they return
_kwargs = {}
elif is_async_func:
if instance:
raise RuntimeError("Instance can not be True when create_autospec "
"is mocking an async function")
Klass = AsyncMock
elif not _callable(spec):
Klass = NonCallableMagicMock
elif is_type and instance and not _instance_callable(spec):
Klass = NonCallableMagicMock
_name = _kwargs.pop('name', _name)
_new_name = _name
if _parent is None:
# for a top level object no _new_name should be set
_new_name = ''
mock = Klass(parent=_parent, _new_parent=_parent, _new_name=_new_name,
name=_name, **_kwargs)
if isinstance(spec, FunctionTypes):
# should only happen at the top level because we don't
# recurse for functions
mock = _set_signature(mock, spec)
if is_async_func:
_setup_async_mock(mock)
else:
_check_signature(spec, mock, is_type, instance)
if _parent is not None and not instance:
_parent._mock_children[_name] = mock
if is_type and not instance and 'return_value' not in kwargs:
mock.return_value = create_autospec(spec, spec_set, instance=True,
_name='()', _parent=mock)
for entry in dir(spec):
if _is_magic(entry):
# MagicMock already does the useful magic methods for us
continue
# XXXX do we need a better way of getting attributes without
# triggering code execution (?) Probably not - we need the actual
# object to mock it so we would rather trigger a property than mock
# the property descriptor. Likewise we want to mock out dynamically
# provided attributes.
# XXXX what about attributes that raise exceptions other than
# AttributeError on being fetched?
# we could be resilient against it, or catch and propagate the
# exception when the attribute is fetched from the mock
try:
original = getattr(spec, entry)
except AttributeError:
continue
kwargs = {'spec': original}
if spec_set:
kwargs = {'spec_set': original}
if not isinstance(original, FunctionTypes):
new = _SpecState(original, spec_set, mock, entry, instance)
mock._mock_children[entry] = new
else:
parent = mock
if isinstance(spec, FunctionTypes):
parent = mock.mock
skipfirst = _must_skip(spec, entry, is_type)
kwargs['_eat_self'] = skipfirst
if iscoroutinefunction(original):
child_klass = AsyncMock
else:
child_klass = MagicMock
new = child_klass(parent=parent, name=entry, _new_name=entry,
_new_parent=parent,
**kwargs)
mock._mock_children[entry] = new
_check_signature(original, new, skipfirst=skipfirst)
# so functions created with _set_signature become instance attributes,
# *plus* their underlying mock exists in _mock_children of the parent
# mock. Adding to _mock_children may be unnecessary where we are also
# setting as an instance attribute?
if isinstance(new, FunctionTypes):
setattr(mock, entry, new)
return mock
def _must_skip(spec, entry, is_type):
"""
Return whether we should skip the first argument on spec's `entry`
attribute.
"""
if not isinstance(spec, type):
if entry in getattr(spec, '__dict__', {}):
# instance attribute - shouldn't skip
return False
spec = spec.__class__
for klass in spec.__mro__:
result = klass.__dict__.get(entry, DEFAULT)
if result is DEFAULT:
continue
if isinstance(result, (staticmethod, classmethod)):
return False
elif isinstance(result, FunctionTypes):
# Normal method => skip if looked up on type
# (if looked up on instance, self is already skipped)
return is_type
else:
return False
# function is a dynamically provided attribute
return is_type
class _SpecState(object):
def __init__(self, spec, spec_set=False, parent=None,
name=None, ids=None, instance=False):
self.spec = spec
self.ids = ids
self.spec_set = spec_set
self.parent = parent
self.instance = instance
self.name = name
FunctionTypes = (
# python function
type(create_autospec),
# instance method
type(ANY.__eq__),
)
file_spec = None
open_spec = None
def _to_stream(read_data):
if isinstance(read_data, bytes):
return io.BytesIO(read_data)
else:
return io.StringIO(read_data)
def mock_open(mock=None, read_data=''):
"""
A helper function to create a mock to replace the use of `open`. It works
for `open` called directly or used as a context manager.
The `mock` argument is the mock object to configure. If `None` (the
default) then a `MagicMock` will be created for you, with the API limited
to methods or attributes available on standard file handles.
`read_data` is a string for the `read`, `readline` and `readlines` of the
file handle to return. This is an empty string by default.
"""
_read_data = _to_stream(read_data)
_state = [_read_data, None]
def _readlines_side_effect(*args, **kwargs):
if handle.readlines.return_value is not None:
return handle.readlines.return_value
return _state[0].readlines(*args, **kwargs)
def _read_side_effect(*args, **kwargs):
if handle.read.return_value is not None:
return handle.read.return_value
return _state[0].read(*args, **kwargs)
def _readline_side_effect(*args, **kwargs):
yield from _iter_side_effect()
while True:
yield _state[0].readline(*args, **kwargs)
def _iter_side_effect():
if handle.readline.return_value is not None:
while True:
yield handle.readline.return_value
for line in _state[0]:
yield line
def _next_side_effect():
if handle.readline.return_value is not None:
return handle.readline.return_value
return next(_state[0])
global file_spec
if file_spec is None:
import _io
file_spec = list(set(dir(_io.TextIOWrapper)).union(set(dir(_io.BytesIO))))
global open_spec
if open_spec is None:
import _io
open_spec = list(set(dir(_io.open)))
if mock is None:
mock = MagicMock(name='open', spec=open_spec)
handle = MagicMock(spec=file_spec)
handle.__enter__.return_value = handle
handle.write.return_value = None
handle.read.return_value = None
handle.readline.return_value = None
handle.readlines.return_value = None
handle.read.side_effect = _read_side_effect
_state[1] = _readline_side_effect()
handle.readline.side_effect = _state[1]
handle.readlines.side_effect = _readlines_side_effect
handle.__iter__.side_effect = _iter_side_effect
handle.__next__.side_effect = _next_side_effect
def reset_data(*args, **kwargs):
_state[0] = _to_stream(read_data)
if handle.readline.side_effect == _state[1]:
# Only reset the side effect if the user hasn't overridden it.
_state[1] = _readline_side_effect()
handle.readline.side_effect = _state[1]
return DEFAULT
mock.side_effect = reset_data
mock.return_value = handle
return mock
class PropertyMock(Mock):
"""
A mock intended to be used as a property, or other descriptor, on a class.
`PropertyMock` provides `__get__` and `__set__` methods so you can specify
a return value when it is fetched.
Fetching a `PropertyMock` instance from an object calls the mock, with
no args. Setting it calls the mock with the value being set.
"""
def _get_child_mock(self, /, **kwargs):
return MagicMock(**kwargs)
def __get__(self, obj, obj_type=None):
return self()
def __set__(self, obj, val):
self(val)
def seal(mock):
"""Disable the automatic generation of child mocks.
Given an input Mock, seals it to ensure no further mocks will be generated
when accessing an attribute that was not already defined.
The operation recursively seals the mock passed in, meaning that
the mock itself, any mocks generated by accessing one of its attributes,
and all assigned mocks without a name or spec will be sealed.
"""
mock._mock_sealed = True
for attr in dir(mock):
try:
m = getattr(mock, attr)
except AttributeError:
continue
if not isinstance(m, NonCallableMock):
continue
if isinstance(m._mock_children.get(attr), _SpecState):
continue
if m._mock_new_parent is mock:
seal(m)
class _AsyncIterator:
"""
Wraps an iterator in an asynchronous iterator.
"""
def __init__(self, iterator):
self.iterator = iterator
code_mock = NonCallableMock(spec_set=CodeType)
code_mock.co_flags = inspect.CO_ITERABLE_COROUTINE
self.__dict__['__code__'] = code_mock
async def __anext__(self):
try:
return next(self.iterator)
except StopIteration:
pass
raise StopAsyncIteration