jsons 0.8.4

For serializing Python objects to JSON (dicts) and back

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 _/ | JSON SERIALIZATION
|__/      MADE EASY!

~ Any Python objects to/from JSON, easily! ~

Python 3.5+ Minimal effort to use! No magic, just you, Python and jsons! Human readible JSON without pollution! Easily customizable and extendable! Type hints for the win!

Example of a model to be serialized: @dataclass class Person: name: str birthday: datetime Example of the serialization: jsons.dump(Person('Guido van Rossum', birthday_guido)) Output after serialization: {'birthday': '1956-01-31T12:00:00Z', 'name': 'Guido van Rossum'}

Installation

pip install jsons

Usage

import jsons

some_instance = jsons.load(some_dict, SomeClass)  # Deserialization
some_dict = jsons.dump(some_instance)  # Serialization

In some cases, you have instances that contain other instances that need (de)serialization, for instance with lists or dicts. You can use the typing classes for this as is demonstrated below.

from typing import List, Tuple
import jsons

# For more complex deserialization with generic types, use the typing module
list_of_tuples = jsons.load(some_dict, List[Tuple[AClass, AnotherClass]])

(For more examples, see the FAQ)

Documentation

• Main documentation

• API docs

• FAQ

Meta

Recent updates

0.8.4

• Feature: Support for textual type hints.

• Feature: Automatically announce classes when dumped.

• Bugfix: Support for from __future__ import annotations

0.8.3

• Bugfix: Loading verbose dumped objects could fail if lists where involved.

0.8.2

• Bugfix: Dumping a namedtuple resulted in a list rather than a dict.

• Feature: Loading into named tuples can be from lists and dicts.

0.8.1

• Bugfix: Loading a verbose dump worked only shallow.

0.8.0

• Feature: Dumping objects can be verbose.

• Feature: Loading enums without use_enum_name can be with names or values.

• Bugfix: Loading empty namedtuples caused a problem.

0.7.2

• Bugfix: Package problem.

Contributors

Special thanks to the following contributors:

• finetuned89

• haluzpav