CODEWITHSUNDEEP
pythonpython-dataclasses
Bastien B
Bastien B

Reputation: 1313

nested dataclasses to dict

I have a lot of dataclasses that are nested using post_init

from dataclasses import dataclass
from typing import List
from typing import Optional
from typing import Union


@dataclass
class MyClass:
    signed_key: str
    signature: str


@dataclass
class Message:
    signature: str
    my_class: Union[MyClass, dict]
    protocol_version: str
    signed_message: str

    def __post_init__(self):
        self.my_class = MyClass(**self.my_class)

It work nice but the problem with this is that if i want to convert Message to dict like so:

#create a message object before
print(message.__dict__)

The output i get:

{'signature': 'test', 'my_class': Myclass(signed_key='test', signature='test'), 'protocol_version': 'test', 'signed_message': 'test'}

What i want (nested dict):

{'signature': 'test', 'my_class': {'signed_key': 'test', 'signature': 'test'}, 'protocol_version': 'test', 'signed_message': 'test'}

I could have use libs like attrs or pydantic but the goal here is to only use pure python

Upvotes: 3

Views: 8870

Answers (1)

user459872
user459872

Reputation: 24582

You can use dataclasses.asdict(Note that this is a module level function and not bound to any dataclass instance) and it's designed exactly for this purpose.

dataclasses.asdict(instance, *, dict_factory=dict)

Converts the dataclass instance to a dict (by using the factory function dict_factory). Each dataclass is converted to a dict of its fields, as name: value pairs. dataclasses, dicts, lists, and tuples are recursed into.

Example,

>>> from dataclasses import dataclass, asdict
>>>
>>> @dataclass
... class Message:
...     message: str
...
>>>
>>> @dataclass
... class Chat:
...     messages: list[Message]
...
>>> chat = Chat([Message('Hi'), Message("Hello")])
>>> chat.__dict__
{'messages': [Message(message='Hi'), Message(message='Hello')]}
>>> asdict(chat)
{'messages': [{'message': 'Hi'}, {'message': 'Hello'}]}

Upvotes: 7

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