Answer by Sourav Kannantha B for Python dataclass from a nested dict

I came across this apischema library. It provides both serialization and deserialization of data-dataclasses.

Here is an example:

from apischema import deserialize, serialize# Define a schema with standard dataclasses@dataclassclass Resource:    id: UUID    name: str    tags: set[str] = field(default_factory=set)# Get some datauuid = uuid4()data = {"id": str(uuid), "name": "wyfo", "tags": ["some_tag"]}# Deserialize dataresource = deserialize(Resource, data)assert resource == Resource(uuid, "wyfo", {"some_tag"})# Serialize objectsassert serialize(Resource, resource) == data

This even works with Python 3.12 generic (data)classes. This uses dataclass type hinting to validate input and then generate object from it.