On 29 October 2017 at 12:25, Brendan Barnwell <brenb...@brenbarn.net> wrote:
> On 2017-10-28 19:13, Soni L. wrote: > >> And to have all cars have engines, you'd do: >> >> class Car: >> def __init__(self, ???): >> self[Engine] = GasEngine() >> >> car = Car() >> car[Engine].kickstart() # kickstart gets the car as second argument. >> >> And if you can't do that, then you can't yet do what I'm proposing, and >> thus the proposal makes sense, even if it still needs some refining... >> > > As near as I can tell you can indeed do that, although it's still > not clear to me why you'd want to. You can give Car a __getitem__ that > on-the-fly generates an Engine object that knows which Car it is attached > to, and then you can make Engine.kickstart a descriptor that knows which > Engine it is attached to, and from that can figure out which Car it is > attached to. > Right, I think a few different things are getting confused here related to how different folks use composition. For most data modeling use cases, the composition model you want is either a tree or an acyclic graph, where the subcomponents don't know anything about the whole that they're a part of. This gives you good component isolation, and avoids circular dependencies. However, for other cases, you *do* want the child object to be aware of the parent - XML etrees are a classic example of this, where we want to allow navigation back up the tree, so each node gains a reference to its parent node. This often takes the form of a combination of delegation (parent->child references) and dependency inversion (child->parent reference). For the car/engine example, this relates to explicitly modeling the relationship whereby a car can have one or more engines (but the engine may not currently be installed), while an engine can be installed in at most one car at any given point in time. You don't even need the descriptor protocol for that though, you just need the subcomponent to accept the parent reference as a constructor parameter: class Car: def __init__(self, engine_type): self.engine = engine_type(self) However, this form of explicit dependency inversion wouldn't work as well if you want to be able to explicitly create an "uninstalled engine" instance, and then pass the engine in as a parameter to the class constructor: class Car: def __init__(self, engine): self.engine = engine # How would we ensure the engine is marked as installed here? As it turns out, Python doesn't need new syntax for this either, as it's all already baked into the regular attribute access syntax, whereby descriptor methods get passed a reference not only to the descriptor, but *also* to the object being accessed: https://docs.python.org/3/howto/descriptor.html#descriptor-protocol And then the property builtin lets you ignore the existence of the descriptor object entirely, and only care about the original object, allowing the above example to be written as: class Car: def __init__(self, engine): self.engine = engine # This implicitly marks the engine as installed @property def engine(self): return self._engine @engine.setter def engine(self, engine): if engine is not None: if self._engine is not None: raise RuntimeError("Car already has an engine installed") if engine._car is not None: raise RuntimeError("Engine is already installed in another car") engine._car = self self._engine = engine car = Car(GasEngine()) ORMs use this kind of descriptor based composition management extensively in order to reliably model database foreign key relationships in a way that's mostly transparent to users of the ORM classes. Cheers, Nick. -- Nick Coghlan | ncogh...@gmail.com | Brisbane, Australia
_______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/