def encode_data(cls, obj, typedef):
r"""Encode an object's data.
Args:
obj (object): Object to encode.
typedef (dict): Type definition that should be used to encode the
object.
Returns:
string: Encoded object.
"""
args = ArgsMetaschemaProperty.instance2args(obj)
kwargs = KwargsMetaschemaProperty.instance2kwargs(obj)
typedef_args = None
typedef_kwargs = None
if isinstance(typedef, dict):
if 'args' in typedef:
typedef_args = {'items': typedef['args']}
if 'kwargs' in typedef:
typedef_kwargs = {'properties': typedef['kwargs']}
out = [
JSONArrayMetaschemaType.encode_data(args, typedef_args),
JSONObjectMetaschemaType.encode_data(kwargs, typedef_kwargs)
]
return out
def validate(cls, obj, raise_errors=False):
r"""Validate an object to check if it could be of this type.
Args:
obj (object): Object to validate.
raise_errors (bool, optional): If True, errors will be raised when
the object fails to be validated. Defaults to False.
Returns:
bool: True if the object could be of this type, False otherwise.
"""
# Base not called because every python object should pass validation
# against the object class
try:
ArgsMetaschemaProperty.instance2args(obj)
return True
except MetaschemaTypeError:
if raise_errors:
raise ValueError("Class dosn't have an input_args attribute.")
return False
def encode_data(cls, obj, typedef):
r"""Encode an object's data.
Args:
obj (object): Object to encode.
typedef (dict): Type definition that should be used to encode the
object.
Returns:
string: Encoded object.
"""
args = ArgsMetaschemaProperty.instance2args(obj)
if isinstance(typedef, dict) and ('args' in typedef):
typedef_args = {'properties': typedef['args']}
else:
typedef_args = None
return JSONObjectMetaschemaType.encode_data(args, typedef_args)