Metadata-Version: 2.1
Name: j_classify
Version: 0.1.0
Summary: Improved JSON deserialization for Python
Author-email: Gabe Reed <gabrieljreed@gmail.com>
License: MIT License
        
        Copyright (c) 2023 Gabriel Reed
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/gabrieljreed/jObject
Project-URL: Bug Tracker, https://github.com/gabrieljreed/jObject/issues
Keywords: json,deserialization,serialization,object,mapping,mapping,dict,dictionary,dataclass,dataclasses,data,class,classes,jsonobject,json-object
Requires-Python: >=3.7.0
Description-Content-Type: text/markdown
License-File: LICENSE

# j_classify

Improved JSON deserializer for Python that allows for remapping to custom object types and nested objects. This allows for saving/loading complex Python objects, like using `pickle` while still preserving them in a human-readable format.

Example Usage:

``` python
import json

import j_classify


class test_class_1(j_classify.j_object):
    def __init__(self) -> None:
        super().__init__()
        self.name = "test_class_1"
        self.number = 1
        self.boolean = True
        self.children: list = []


class test_class_2(j_classify.j_object):
    def __init__(self) -> None:
        super().__init__()
        self.name = "test_class_2"
        self.number = 2
        self.boolean = False
        self.children: list = []


class test_class_3(j_classify.j_object):
    def __init__(self) -> None:
        super().__init__()
        self.name = "test_class_3"
        self.number = 3
        self.boolean = True


if __name__ == "__main__":
    obj_1 = test_class_1()
    obj_1.name = "obj_1"
    obj_1.number = 2
    obj_1.boolean = False

    obj_2 = test_class_2()
    obj_2.name = "obj_2"
    obj_2.number = 3
    obj_2.boolean = True
    obj_1.children.append(obj_2)

    obj_3 = test_class_3()
    obj_3.name = "obj_3"
    obj_3.number = 4
    obj_3.boolean = False
    obj_2.children.append(obj_3)

    # Dump the object to JSON - use the j_object_encoder class for the cls argument
    obj_data = json.dumps(obj_1, cls=j_classify.j_object_encoder, indent=4)

    # Load the object from JSON - use the load_j_object function for the object_hook
    loaded_obj_1 = json.loads(obj_data, object_hook=j_classify.load_j_object)

```
