For serializing Python objects to JSON and back
Project description
jsons
A Python lib (Python3.5+) for serializing Python objects to dicts or strings and for deserializing dicts or strings to Python objects.
Installation
pip install jsons
Usage
import jsons
some_instance = jsons.load(some_dict, SomeClass) # Deserialization
some_dict = jsons.dump(some_instance) # Serialization
API overview
dump(obj: object) -> dict
: serializes an object to a dict.load(json_obj: dict, cls: type = None) -> object
: deserializes a dict to an object of typecls
.dumps(obj: object, *args, **kwargs) -> str
: serializes an object to a string.loads(s: str, cls: type = None, *args, **kwargs) -> object
deserializes a string to an object of typecls
.set_serializer(c: callable, cls: type) -> None
: sets a custom serialization function for typecls
.set_deserializer(c: callable, cls: type) -> None
: sets a custom deserialization function for typecls
.
Example with dataclasses
from dataclasses import dataclass
from typing import List
import jsons
# You can use dataclasses (since Python3.7). Regular Python classes (Python3.5+) will work as well as long as
# type hints are present for custom classes.
@dataclass
class Student:
name: str
@dataclass
class ClassRoom:
students: List[Student]
c = ClassRoom([Student('John'), Student('Mary'), Student('Greg'), Student('Susan')])
dumped_c = jsons.dump(c)
print(dumped_c)
# Prints:
# {'students': [{'name': 'John'}, {'name': 'Mary'}, {'name': 'Greg'}, {'name': 'Susan'}]}
loaded_c = jsons.load(dumped_c, ClassRoom)
print(loaded_c)
# Prints:
# ClassRoom(students=[Student(name='John'), Student(name='Mary'), Student(name='Greg'), Student(name='Susan')])
Example with regular classes
from typing import List
import jsons
class Student:
# Since ``name`` is expected to be a string, no type hint is required.
def __init__(self, name):
self.name = name
class ClassRoom:
# Since ``Student`` is a custom class, a type hint must be given.
def __init__(self, students: List[Student]):
self.students = students
c = ClassRoom([Student('John'), Student('Mary'), Student('Greg'), Student('Susan')])
dumped_c = jsons.dump(c)
print(dumped_c)
# Prints:
# {'students': [{'name': 'John'}, {'name': 'Mary'}, {'name': 'Greg'}, {'name': 'Susan'}]}
loaded_c = jsons.load(dumped_c, ClassRoom)
print(loaded_c)
# Prints:
# <__main__.ClassRoom object at 0x0337F9B0>
Advanced features
Overriding the default (de)serialization behavior
You may alter the behavior of the serialization and deserialization processes yourself by defining your own custom serialization/deserialization functions.
jsons.set_serializer(custom_serializer, datetime) # A custom datetime serializer.
jsons.set_deserializer(custom_deserializer, str) # A custom string deserializer.
Transforming the JSON keys
You can have the keys transformed by the serialization or deserialization process by providing a transformer function that takes a string and returns a string.
result = jsons.dump(some_obj, jsons.KEY_TRANSFORMER_CAMELCASE)
# result could be something like: {'thisIsTransformed': 123}
result = jsons.load(some_dict, SomeClass, jsons.KEY_TRANSFORMER_SNAKECASE)
# result could be something like: {'this_is_transformed': 123}
The following casing styles are supported:
KEY_TRANSFORMER_SNAKECASE # snake_case
KEY_TRANSFORMER_CAMELCASE # camelCase
KEY_TRANSFORMER_PASCALCASE # PascalCase
KEY_TRANSFORMER_LISPCASE # lisp-case
Project details
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