dataclass-factory 2.16

An utility class for creating instances of dataclasses

dataclass_factory

dataclass_factory is a modern way to convert dataclasses or other objects to and from more common types like dicts

Help

See documentation for more details.

TL;DR

Install

pip install dataclass_factory

Use

from dataclasses import dataclass
import dataclass_factory


@dataclass
class Book:
    title: str
    price: int
    author: str = "Unknown author"


data = {
    "title": "Fahrenheit 451",
    "price": 100,
}

factory = dataclass_factory.Factory()
book: Book = factory.load(data, Book)  # Same as Book(title="Fahrenheit 451", price=100)
serialized = factory.dump(book) 

Requirements

• python >= 3.6

You can use dataclass_factory with python 3.6 and dataclass library installed from pip.

On python 3.7 it has no external dependencies outside of the Python standard library.

Advantages

• No schemas or configuration needed for simple cases. Just create Factory and call load/dump methods
• Speed. It is up to 10 times faster than marshmallow and dataclasses.asdict (see benchmarks)
• Automatic name style conversion (e.g. snake_case to CamelCase)
• Automatic skipping of "internal use" fields (with leading underscore)
• Enums, typed dicts, tuples and lists are supported out of the box
• Unions and Optionals are supported without need to define them in schema
• Generic dataclasses can be automatically parsed as well
• Cyclic-referenced structures (such as linked-lists or trees) also can be converted
• Validators, custom parser steps are supported.
• Multiple schemas for single type can be provided to support different ways of parsing of the same type