def json_component(class_):
if issubclass(class_, Component):
d = with_signature(class_(), str(class_().__dict__))
return d
else:
raise (UserWarning('with_signature needs to be defined for '
'class %s in @to_serializable.register(type)!' % class_))
def __deepcopy__(self, memo):
"""
overloads the deepcopy function of pandapower if at least one DataFrame with column "object" is in net
reason: some of these objects contain a reference to net which breaks the default deepcopy function.
This fix was introduced in pandapower 2.2.1 and is rather a quick and dirty solution to the problem
"""
save_to_json = False
for el in self:
if isinstance(self[el], pd.DataFrame) and "object" in self[el] and len(self[el]):
save_to_json = True
break
if save_to_json:
# deepcopy by dumping to json and loading from it
from pandapower.file_io import PPJSONEncoder, from_json_string
from pandapower.io_utils import with_signature
json_string = json.dumps(with_signature(self, dict(self)), cls=PPJSONEncoder)
return from_json_string(json_string)
# deepcopy of every element in self (== the pandapower net)
cls = self.__class__
result = cls.__new__(cls)
memo[id(self)] = result
for k, v in self.items():
setattr(result, k, copy.deepcopy(v, memo))
result._setattr('_allow_invalid_attributes', self._allow_invalid_attributes)
return result
def json_net(obj):
net_dict = {k: item for k, item in obj.items() if not k.startswith("_")}
d = with_signature(obj, net_dict)
return d