Metadata-Version: 1.1
Name: pavlova
Version: 0.1.1.dev2
Summary: Simplified deserialization using dataclasses
Home-page: https://github.com/freelancer/pavlova
Author: Freelancer.com
Author-email: chris@freelancer.com
License: UNKNOWN
Description: *****************************************************
        pavlova: simplified deserialization using dataclasses
        *****************************************************
        
        **pavlova** is a library that assists in mapping an unknown input into a
        dataclass.
        
        .. code-block:: python
        
            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
        ############
        
        .. code-block:: shell
        
            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 <LICENSE>`__ and
        `COPYING.LESSER <COPYING.LESSER>`__.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Programming Language :: Python :: 3.7
