Skip to main content

Python 3 library for easily JSON encoding/decoding complex class-based Python models, using an arbitrarily complex (but easy to write!) mapping schema.

Project description

Build Status codecov.io Documentation Status

HGI JSON

A Python 3 library for easily JSON encoding/decoding complex class-based Python models, using an arbitrarily complex (but easy to write!) mapping schema.

Features

  • Ability to create serializers and deserializers for complex class-based models using a mapping schema defined in Python.

  • Works seamlessly with Python’s in-built json.dumps and json.loads serialization methods - does not require the use of exotic convert_to_json/convert_from_json methods.

  • Python models are not be coupled to the serialization process - models do not have to inherit from a particular superclass or implement an interface with a to_json (or similar) method.

  • JSON representations produced are not coupled to the Python model - an arbitrary mapping between the JSON and the model can be defined.

  • Simple to define serialization of subclasses, based on how superclasses are serialized.

  • Pure Python 3 - no DSL, XML or similar required to describe mappings, not using outdated Python 2.

  • Well tested.

Overview

Basic Steps

  1. Define schema for mapping an object to and/or from JSON representation using a list of JsonPropertyMapping definitions.

  2. Use MappingJSONEncoderClassBuilder with the mappings to build a subclass of JSONEncode for serializing instances of a specific type. Similar with decode.

  3. Use created encoder class with Python’s in-built json.dumps via the cls parameter. Similar with decoder.

Defining Encoders/Decoders

Encoders and decoders are generated based on a defined JSON <-> Model mapping. A mapping can be written that allows complex classes, such as that below, to be mapped to and from any JSON representation:

class CustomClass(SupportFor, MultipleInheritance):
    self __init__(self, support_for_constructor_parameters):
    self.support_for_all_types_of_properties = ""
    self.including_sets = set()
    self.and_lists = list()
    self.and_dictionaries = dict()
    self.and_complex_properties = ComplexClass()
    self.and_nested_objects_of_the_same_type = CustomClass()
    self.and_properties_not_in_json_if_none = None

    self support_for_setters(self, value):
        """..."""

    self support_for_getters(self):
        """..."""

CustomClassJSONEncoder = MappingJSONEncoderClassBuilder(...).build()    # type: JSONEncoder
CustomClassJSONDecoder = MappingJSONDecoderClassBuilder(...).build()    # type: JSONDecoder

custom_class_as_json = json.dumps(custom_class, cls=CustomClassJSONEncoder)     # type: str
custom_class = json.loads("<custom_class_as_json>", cls=CustomClassJSONDecoder)     # type: CustomClass

Documentation

For more details, including information on how to setup and use the library, please view the documentation on ReadTheDocs or read it from /docs.

Project details


Download files

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

Source Distribution

hgijson-3.1.0.tar.gz (22.0 kB view details)

Uploaded Source

File details

Details for the file hgijson-3.1.0.tar.gz.

File metadata

  • Download URL: hgijson-3.1.0.tar.gz
  • Upload date:
  • Size: 22.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for hgijson-3.1.0.tar.gz
Algorithm Hash digest
SHA256 1ac523eb5d2dc55d28000a4a493f279a45e39ba5c70fc91a738f2c7d8f220d76
MD5 fc11cd82b19a7c9bb2b5d6a8c401a220
BLAKE2b-256 2a706ad4309aedf83a258fa1b7d705bc8c824d47835f088e56f798a783b7c44d

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