Skip to main content

JSON Decoder and Encoder with type information.

Project description

StrongJson

PyPI Build Status Binder codecov

A more faithful python json encoder/decoder.

Install

pip install strong_json

or directly from this repository

pip install git+git://github.com/piti118/strong-json.git

Features

In addition to the standard json.dumps/loads, this module offer the following additional behavior.

  • Custom class support outside the box(overridable via ToJsonable interface).

    • class User:
          def __init__(self, first, last):
              self.first = first
              self.last = last
      
  • Preserve type information.

    • User('f', 'l') -> {"__type__": "User", "first":"f", "last":"l"}
  • More faithful dictionary dumps/loads

    • Treat dictionary as OrderedDictionary when encode. See Python 3.6 Release Note.
      • {'a':'b', 'c':'d'} ->
        {
            "__type__": "dict",
            "__data__": [
                {"key": "a", "value": "b"},
                {"key": "c", "value": "d"}
            ]
        }
        
      • Decoder will accept both traditional form({'a':'b','c':'d'}) and the form above.
    • Allow any hashable object as key
      • {User('f', 'l'): 1, User('a','b'):2} ->
        {
            "__type__": "dict",
            "__data__": [
                {
                    "key": {"__type__": "User", "first": "f", "last":"l"}, 
                    "value": 1
                },
                {
                    "key": {"__type__": "User", "first": "a", "last":"b"}, 
                    "value": 2
                }
            ]
        }        
        
  • Distinguish tuple from List

    • [1,2,3] -> [1,2,3]
    • (1,2,3) -> {"__type__":"tuple", "__data__":[1,2,3]}
  • Custom class decoder whitelist via class_map

    • from strong_json import StrongJson
      s = {'__type__': 'User', 'first':'f', 'last':'l'}
      class_map = {'User', User}
      custom_json = StrongJson(class_map=class_map)
      custom_json.from_json(s)
      
    • By default, strong json pass all the argument by name to the constructor.
    • You could also override StrongJson or implement interface FromJsonable for custom decoder.
    • You could also use strong_json.ClassMapBuilder to save some typing.
  • Support for date and datetime.

    • datetime.date(2019,8,23) ->
    {
        "__type__": "date", 
        "year": 2019, 
        "month": 8, 
        "day": 23
    }
    
  • Support for Enum.

    • from enum import Enum
      class Color(Enum):
        RED='redd'
        BLUE='blueee'
      strong_json.to_json(Color.RED)
      
      ->
      {"__type__": "Color", "__data__":"RED"}
      
  • Support for numpy and pandas. (via to_dict and tolist)

  • nan, inf, -inf are dumped as dict ex: {"__type__":"float", "__data__":"nan"}

Basic Usage

Binder

From Object to JSON

Builtin Object

from strong_json import strong_json
obj = {'a': [1,2,3], 'b':[2,3,4]}
s = strong_json.to_json(obj)

# if you want indentation you could do
s_indent = strong_json.to_json(obj, indent=2)

Custom Class

SimpleClass

Custom class works out of the box

from strong_json import strong_json

class SimpleClass:
    def __init__(self, msg):
        self.msg = msg

obj = SimpleClass('hello')
s = strong_json.to_json(object)

which produce json of the form

{
  "__type__": "SimpleClass",
  "msg": "hello"
}

Custom Encoder.

If you don't like the default class encoder you can create new one by implementing ToJsonable interface.

from strong_json import strong_json, ToJsonable

class User(ToJsonable):
    def __init__(self, first, last):
        self.first = first
        self.last = last

    # this is where the magic happens.
    def to_json_dict(self, encoder: StrongJson) -> Dict[str, JSONPrimitive]:
        return {
            '__type__': 'User',
            'first': encoder.to_json_dict(self.first),
            'last': encoder.to_json_dict(self.last),
            'full_name': encoder.to_json_dict(f"{self.first} {self.last}")
        }

obj = User('hello', 'world')
s = strong_json.to_json(object)

which produces json of the form

{
  "__type__": "User",
  "first": "hello",
  "last": "world",
  "full_name": "hello_world"
}

From JSON to object

Builtin Object

from strong_json import strong_json
s = """{"a": "b", "c":"d"}"""
obj = strong_json.from_json(s)

Custom Class

from strong_json import StrongJson

class User: # it doesn't have to be ToJsonable
    def __init__(self, first, last):
        self.first = first
        self.last = last

s = """
{
    "__type__": "User",
    "first": "hello",
    "last": "world"
}
"""
class_map = {'User': User}
custom_json = StrongJson(class_map=class_map)
obj = custom_json.to_json(s, class_map)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

strong_json-1.0.10-py3-none-any.whl (9.0 kB view details)

Uploaded Python 3

File details

Details for the file strong_json-1.0.10-py3-none-any.whl.

File metadata

  • Download URL: strong_json-1.0.10-py3-none-any.whl
  • Upload date:
  • Size: 9.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3

File hashes

Hashes for strong_json-1.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 f9b3e381f37cf933bd84effd98b228da73b0e1e5e81794220be280c6d1d8e066
MD5 30019f04b60ff0c14aeffafcc89e56af
BLAKE2b-256 e131957f0a7189649e85aae48c1d5606a33badb02807e94b8eb776150fefa7cd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page