databind.core 2.0.0a4

Databind is a library inspired by jackson-databind to de-/serialize Python dataclasses. Compatible with Python 3.7 and newer.

databind.core

databind.core provides a jackson-databind inspired framework for data de-/serialization in Python. Unless you are looking to implement support for de-/serializing new data formats, the databind.core package alone might not be what you are looking for (unless you want to use databind.core.dataclasses as a drop-in replacement to the standard library dataclasses module, for that check out the section at the bottom).

Known implementations

• databind.json

Dataclass extension

The standard library dataclasses module does not allow to define non-default arguments after default arguments. You can use databind.core.dataclasses as a drop-in replacement to get this feature. It behaves exactly like the standard library, only that non-default arguments may follow default arguments. Such arguments can be passed to the constructor as positional or keyword arguments.

from databind.core import dataclasses

@dataclasses.dataclass
class A:
  value1: int = 42

@dataclasses.dataclass
class B(A):
  value2: str

print(B(0, 'Hello, World!'))
print(B(value2='Answer to the universe'))

---

Copyright © 2020 – Niklas Rosenstein