Reputation: 175
I'm trying to model a collection of objects in python (2). The collection should make a certain attribute (an integer, float or any immutable object) of the objects available via a list interface.
(1)
>>> print (collection.attrs)
[1, 5, 3]
>>> collection.attrs = [4, 2, 3]
>>> print (object0.attr == 4)
True
I especially expect this list interface in the collection to allow for reassigning a single object's attribute, e.g.
(2)
>>> collection.attrs[2] = 8
>>> print (object2.attr == 8)
True
I am sure this is a quite frequently occurring situation, unfortunately I was not able to find a satisfying answer on how to implement it on stackoverflow / google etc.
Behind the scenes, I expect the object.attr
to be implemented as a mutable object. Somehow I also expect the collection to hold a "list of references" to the object.attr
and not the respectively referenced (immutable) values themselves.
I ask for your suggestion how to solve this in an elegant and flexible way.
A possible implementation that allows for (1) but not for (2) is
class Component(object):
"""One of many components."""
def __init__(self, attr):
self.attr = attr
class System(object):
"""One System object contains and manages many Component instances.
System is the main interface to adjusting the components.
"""
def __init__(self, attr_list):
self._components = []
for attr in attr_list:
new = Component(attr)
self._components.append(new)
@property
def attrs(self):
# !!! this breaks (2):
return [component.attr for component in self._components]
@attrs.setter
def attrs(self, new_attrs):
for component, new_attr in zip(self._components, new_attrs):
component.attr = new_attr
The !!! line breaks (2) because we create a new list whose entries are references to the values of all Component.attr
and not references to the attributes themselves.
Thanks for your input.
TheXMA
Upvotes: 1
Views: 538
Reputation: 175
@filmor thanks a lot for your answer, this solves the problem perfectly! I made it a bit more general:
class _ListProxy(object):
"""Is a list of object attributes. Accessing _ListProxy entries
evaluates the object attributes each time it is accessed,
i.e. this list "proxies" the object attributes.
"""
def __init__(self, list_of_objects, attr_name):
"""Provide a list of object instances and a name of a commonly
shared attribute that should be proxied by this _ListProxy
instance.
"""
self._list_of_objects = list_of_objects
self._attr_name = attr_name
def __getitem__(self, index):
return getattr(self._list_of_objects[index], self._attr_name)
def __setitem__(self, index, value):
setattr(self._list_of_objects[index], self._attr_name, value)
def __repr__(self):
return repr(list(self))
def __len__(self):
return len(self._list_of_objects)
Are there any important list methods missing?
And what if I want some of the components (objects) to be garbage collected? Do I need to use something like a WeakList to prevent memory leakage?
Upvotes: 0
Reputation: 32182
Just add another proxy inbetween:
class _ListProxy:
def __init__(self, system):
self._system = system
def __getitem__(self, index):
return self._system._components[index].attr
def __setitem__(self, index, value):
self._system._components[index].attr = value
class System:
...
@property
def attrs(self):
return _ListProxy(self)
You can make the proxy fancier by implementing all the other list
methods, but this is enough for your use-case.
Upvotes: 2