On 03/05/2019 17:37, Ricky Teachey wrote:
I just joined the ideas list today so I do not know if this has been discussed.
Using dataclasses has been great for me, but a challenge is what to do when you don't *know* if the object you are using is a dataclass, and could be a variety of other classes.
This could easily occur when you don't want to assume the data type being used by the user to represent their data, but wish to turn it into a dict (if an API exists to do so).
Conventionally you would get the caller to do this, because only the caller knows what format they have actually got. Anything else involves lots of guesswork and, as you point out, gets unweildy and silly very quickly.
The idea is: 1. identifying the various "asdict" APIs used in the standard library, and 2. include a keyword option for dataclasses.asdict() to cast a non-dataclasses object to a dict using these protocols (and falling back on factory_dict(obj) if it is provided).
Are "asdict" APIs all that common? I can't recall feeling much need for them, but I'm hardly a good test case :-) The problem with "casting" a generic non-dataclass object to a dict is that it's not remotely obvious how you do that. What key do you use if your object is a simple int or string? If you have even a straightforward user class aren't just using "thing.__dict__", what attributes do or do not make it into the dictionary? I'm sorry, but I'm not convinced that this is a rabbit-hole that it will be useful to dive down. -- Rhodri James *-* Kynesim Ltd