I\'ve been reading up on Python 3.7\'s dataclass as an alternative to namedtuples (what I typically use when having to group data in a structure). I was wondering if datacla
Some wrapping could be good:
# Copyright 2019 Xu Siyuan
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from dataclasses import dataclass, field
MISSING = object()
__all__ = ['property_field', 'property_dataclass']
class property_field:
def __init__(self, fget=None, fset=None, fdel=None, doc=None, **kwargs):
self.field = field(**kwargs)
self.property = property(fget, fset, fdel, doc)
def getter(self, fget):
self.property = self.property.getter(fget)
return self
def setter(self, fset):
self.property = self.property.setter(fset)
return self
def deleter(self, fdel):
self.property = self.property.deleter(fdel)
return self
def property_dataclass(cls=MISSING, / , **kwargs):
if cls is MISSING:
return lambda cls: property_dataclass(cls, **kwargs)
remembers = {}
for k in dir(cls):
if isinstance(getattr(cls, k), property_field):
remembers[k] = getattr(cls, k).property
setattr(cls, k, getattr(cls, k).field)
result = dataclass(**kwargs)(cls)
for k, p in remembers.items():
setattr(result, k, p)
return result
You can use it like this:
@property_dataclass
class B:
x: int = property_field(default_factory=int)
@x.getter
def x(self):
return self._x
@x.setter
def x(self, value):
self._x = value