pavlova 0.1.1.dev2

Simplified deserialization using dataclasses

pavlova is a library that assists in mapping an unknown input into a dataclass.

from datetime import datetime
from dataclasses import dataclass

from pavlova import Pavlova


@dataclass
class Input:
    id: int
    name: str
    date: datetime


Pavlova().from_mapping({
    'id': 10,
    'name': 100
    'date': '2018-08-10',
}, Input)
# Input(id=10, name='100', date=datetime.datetime(2018, 8, 10, 0, 0))

Pavlova was born out of frustration with the lack of typing support for existing deserialization libraries. With the introduction of dataclasses in Python 3.7, they seemed like the perfect use for defining a deserialization schema.

Supported functionality

Parsing of booleans, datetimes, floats, ints, strings, decimals, dictionaries, enums, lists are currently supported.

There are more parsers to come, however to implement your own custom parser, simply implement PavlovaParser in pavlova.parsers, and register it with the Pavlova object with the register_parser method.

Installation

pip install pavlova

Requirements

Pavlova is only supported on Python 3.6 and higher. With Python 3.6, it will install the dataclasses <https://github.com/ericvsmith/dataclasses> module. With Python 3.7 and higher, it will use the built-in dataclasses module.

License

GNU LGPLv3. Please see LICENSE and COPYING.LESSER.