259 lines
9.6 KiB
Python
259 lines
9.6 KiB
Python
"""Base classes for type definitions in the stix2 library."""
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import collections
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import copy
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import datetime as dt
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import simplejson as json
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from .exceptions import (AtLeastOnePropertyError, DependentPropertiesError,
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ExtraPropertiesError, ImmutableError,
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InvalidObjRefError, InvalidValueError,
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MissingPropertiesError,
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MutuallyExclusivePropertiesError)
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from .markings.utils import validate
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from .utils import NOW, find_property_index, format_datetime, get_timestamp
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from .utils import new_version as _new_version
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from .utils import revoke as _revoke
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__all__ = ['STIXJSONEncoder', '_STIXBase']
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DEFAULT_ERROR = "{type} must have {property}='{expected}'."
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class STIXJSONEncoder(json.JSONEncoder):
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def default(self, obj):
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if isinstance(obj, (dt.date, dt.datetime)):
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return format_datetime(obj)
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elif isinstance(obj, _STIXBase):
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return dict(obj)
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else:
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return super(STIXJSONEncoder, self).default(obj)
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def get_required_properties(properties):
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return (k for k, v in properties.items() if v.required)
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class _STIXBase(collections.Mapping):
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"""Base class for STIX object types"""
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def object_properties(self):
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return list(self._properties.keys())
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def _check_property(self, prop_name, prop, kwargs):
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if prop_name not in kwargs:
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if hasattr(prop, 'default'):
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value = prop.default()
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if value == NOW:
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value = self.__now
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kwargs[prop_name] = value
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if prop_name in kwargs:
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try:
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kwargs[prop_name] = prop.clean(kwargs[prop_name])
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except ValueError as exc:
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raise InvalidValueError(self.__class__, prop_name, reason=str(exc))
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# interproperty constraint methods
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def _check_mutually_exclusive_properties(self, list_of_properties, at_least_one=True):
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current_properties = self.properties_populated()
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count = len(set(list_of_properties).intersection(current_properties))
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# at_least_one allows for xor to be checked
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if count > 1 or (at_least_one and count == 0):
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raise MutuallyExclusivePropertiesError(self.__class__, list_of_properties)
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def _check_at_least_one_property(self, list_of_properties=None):
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if not list_of_properties:
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list_of_properties = sorted(list(self.__class__._properties.keys()))
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if "type" in list_of_properties:
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list_of_properties.remove("type")
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current_properties = self.properties_populated()
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list_of_properties_populated = set(list_of_properties).intersection(current_properties)
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if list_of_properties and (not list_of_properties_populated or list_of_properties_populated == set(["extensions"])):
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raise AtLeastOnePropertyError(self.__class__, list_of_properties)
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def _check_properties_dependency(self, list_of_properties, list_of_dependent_properties):
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failed_dependency_pairs = []
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for p in list_of_properties:
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for dp in list_of_dependent_properties:
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if not self.get(p) and self.get(dp):
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failed_dependency_pairs.append((p, dp))
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if failed_dependency_pairs:
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raise DependentPropertiesError(self.__class__, failed_dependency_pairs)
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def _check_object_constraints(self):
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for m in self.get("granular_markings", []):
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validate(self, m.get("selectors"))
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def __init__(self, allow_custom=False, **kwargs):
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cls = self.__class__
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# Use the same timestamp for any auto-generated datetimes
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self.__now = get_timestamp()
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# Detect any keyword arguments not allowed for a specific type
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custom_props = kwargs.pop('custom_properties', {})
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if custom_props and not isinstance(custom_props, dict):
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raise ValueError("'custom_properties' must be a dictionary")
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if not allow_custom:
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extra_kwargs = list(set(kwargs) - set(cls._properties))
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if extra_kwargs:
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raise ExtraPropertiesError(cls, extra_kwargs)
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else:
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from .properties import CustomProperty
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# The custom properties will get added to the bottom.
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# Matched with a CustomProperty.
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extra_kwargs = list(set(kwargs) - set(cls._properties))
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self._properties.update([(x, CustomProperty()) for x in extra_kwargs])
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# Remove any keyword arguments whose value is None
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setting_kwargs = {}
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props = kwargs.copy()
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props.update(custom_props)
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for prop_name, prop_value in props.items():
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if prop_value is not None:
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setting_kwargs[prop_name] = prop_value
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# Detect any missing required properties
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required_properties = get_required_properties(cls._properties)
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missing_kwargs = set(required_properties) - set(setting_kwargs)
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if missing_kwargs:
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raise MissingPropertiesError(cls, missing_kwargs)
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for prop_name, prop_metadata in cls._properties.items():
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self._check_property(prop_name, prop_metadata, setting_kwargs)
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self._inner = setting_kwargs
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self._check_object_constraints()
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def __getitem__(self, key):
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return self._inner[key]
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def __iter__(self):
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return iter(self._inner)
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def __len__(self):
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return len(self._inner)
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# Handle attribute access just like key access
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def __getattr__(self, name):
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if name in self:
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return self.__getitem__(name)
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raise AttributeError("'%s' object has no attribute '%s'" %
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(self.__class__.__name__, name))
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def __setattr__(self, name, value):
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if name != '_inner' and not name.startswith("_STIXBase__"):
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raise ImmutableError(self.__class__, name)
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super(_STIXBase, self).__setattr__(name, value)
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def __str__(self):
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return self.serialize(pretty=True)
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def __repr__(self):
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props = [(k, self[k]) for k in self.object_properties() if self.get(k)]
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return "{0}({1})".format(self.__class__.__name__,
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", ".join(["{0!s}={1!r}".format(k, v) for k, v in props]))
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def __deepcopy__(self, memo):
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# Assumption: we can ignore the memo argument, because no object will ever contain the same sub-object multiple times.
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new_inner = copy.deepcopy(self._inner, memo)
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cls = type(self)
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return cls(**new_inner)
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def properties_populated(self):
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return list(self._inner.keys())
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# Versioning API
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def new_version(self, **kwargs):
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return _new_version(self, **kwargs)
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def revoke(self):
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return _revoke(self)
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def serialize(self, pretty=False, **kwargs):
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"""
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Serialize a STIX object.
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Args:
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pretty (bool): If True, output properties following the STIX specs
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formatting. This includes indentation. Refer to notes for more
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details.
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**kwargs: The arguments for a json.dumps() call.
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Returns:
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dict: The serialized JSON object.
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Note:
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The argument ``pretty=True`` will output the STIX object following
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spec order. Using this argument greatly impacts object serialization
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performance. If your use case is centered across machine-to-machine
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operation it is recommended to set ``pretty=False``.
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When ``pretty=True`` the following key-value pairs will be added or
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overridden: indent=4, separators=(",", ": "), item_sort_key=sort_by.
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"""
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if pretty:
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properties = self.object_properties()
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def sort_by(element):
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return find_property_index(self, properties, element)
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kwargs.update({'indent': 4, 'separators': (",", ": "), 'item_sort_key': sort_by})
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return json.dumps(self, cls=STIXJSONEncoder, **kwargs)
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class _Observable(_STIXBase):
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def __init__(self, **kwargs):
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# the constructor might be called independently of an observed data object
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if '_valid_refs' in kwargs:
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self._STIXBase__valid_refs = kwargs.pop('_valid_refs')
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else:
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self._STIXBase__valid_refs = []
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super(_Observable, self).__init__(**kwargs)
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def _check_ref(self, ref, prop, prop_name):
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if ref not in self._STIXBase__valid_refs:
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raise InvalidObjRefError(self.__class__, prop_name, "'%s' is not a valid object in local scope" % ref)
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try:
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allowed_types = prop.contained.valid_types
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except AttributeError:
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allowed_types = prop.valid_types
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try:
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ref_type = self._STIXBase__valid_refs[ref]
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except TypeError:
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raise ValueError("'%s' must be created with _valid_refs as a dict, not a list." % self.__class__.__name__)
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if allowed_types:
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if ref_type not in allowed_types:
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raise InvalidObjRefError(self.__class__, prop_name, "object reference '%s' is of an invalid type '%s'" % (ref, ref_type))
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def _check_property(self, prop_name, prop, kwargs):
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super(_Observable, self)._check_property(prop_name, prop, kwargs)
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if prop_name not in kwargs:
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return
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if prop_name.endswith('_ref'):
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ref = kwargs[prop_name]
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self._check_ref(ref, prop, prop_name)
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elif prop_name.endswith('_refs'):
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for ref in kwargs[prop_name]:
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self._check_ref(ref, prop, prop_name)
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class _Extension(_STIXBase):
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def _check_object_constraints(self):
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super(_Extension, self)._check_object_constraints()
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self._check_at_least_one_property()
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