Skip to main content

Utility library for serializing/deserializing custom Python objects to/from JSON.

Project description

from pyobjson import PythonObjectJson

pyobjson - Python Object JSON Tool

Utility library for serializing/deserializing custom Python objects to/from JSON.

GitHub release (latest SemVer) GitHub tag (latest SemVer) GitHub Workflow Status (with event)

PyPI PyPI PyPI PyPI


Do you like the Python Object JSON Tool? Star the repository on GitHub and please consider helping support its ongoing development:


READ THE DOCS HERE!
Detailed documentation can be found at https://pyobjson.wrencode.dev.

 

Table of Contents


About

The Python Object JSON Tool is a utility library for serializing/deserializing custom Python objects to/from JSON by using pyobjson classes as superclasses/parent classes to your custom Python classes.

Installation

You can install with pip by running:

pip install pyobjson

Note: If you wish to use pyobjson to serialize/deserialize custom Python objects to/from MongoDB, then you have to install with the optional dependencies:

pip install pyobjson[mongo]

Dependencies

The base Python Object JSON Tool does not have any third-party dependencies to run the code. It has several development dependencies, which can be seen in the package pyproject.toml.

If you wish to use pyobjson to serialize/deserialize custom Python objects to/from MongoDB, then there is an additional dependency on the PyMongo package.

Toolchain

The below tools and resources are used as part of pyobjson:

  • uv - package management
  • ruff - code linting
  • bandit - code security
  • make - Makefile build automation
  • MkDocs - package documentation
  • python-dotenv - programmatic access to environment variables defined in a .env file
  • pytest - code testing framework
  • GitHub Actions - CI/CD
  • act - GitHub Actions testing

Usage

The pyobjson package is designed to be used as a base class/parent class/superclass to your own custom Python classes in order to provide built-in, convenient serialization/deserialization functionality. Child classes/subclasses of pyobjson.base.PythonObjectJson will automatically have the following methods:

  • pyobjson.base.PythonObjectJson.serialize(): Create a serializable dictionary from the class instance.
  • pyobjson.base.PythonObjectJson.to_json_str(): Serialize the class instance to a JSON string.
  • pyobjson.base.PythonObjectJson.from_json_str(json_str): Load the class instance from a pyobjson-formatted JSON string.
  • pyobjson.base.PythonObjectJson.save_to_json_file(json_file_path): Save the class instance to a JSON file.
  • pyobjson.base.PythonObjectJson.load_from_json_file(json_file_path): Load the class instance from a pyobjson-formatted JSON file.

Please reference the documentation at https://pyobjson.wrencode.dev for more detailed usage.

JSON Example

from pyobjson.base import PythonObjectJson

class MyOtherClass(PythonObjectJson):
    
    def __init__(self):
        super().__init__()
        self.message = "Hello, World!"

class MyClass(PythonObjectJson):
    def __init__(self):
        super().__init__()
        self.my_other_classes = [MyOtherClass()]

my_class = MyClass()

print(my_class.to_json_str())

JSON Example Output
{
  "__main__.myclass": {
    "collection::::list::::my_other_classes": [
      {
        "__main__.myotherclass": {
          "message": "Hello, World!"
        }
      }
    ]
  }
}

The above example shows how pyobjson can be used to serialize arbitrary custom Python classes into JSON. Additionally, the above JSON example output JSON can be used to recreate an equivalent class instance by loading the JSON into a custom Python class instance.

Saving and Loading

The pyobjson.base.PythonObjectJson parent class also provides built-in methods to save/load arbitrary custom Python classes to/from JSON in several ways.

JSON Files
  • JSON files (using only Python built-in libraries): Use the PythonObjectJson.save_to_json_file(json_file_path) and PythonObjectJson.load_from_json_file(json_file_path) methods to save/load your custom Python subclasses to JSON files.

JSON File Example
from pathlib import Path

from dotenv import load_dotenv

from pyobjson.base import PythonObjectJson

root_dir = Path(__file__).parent

load_dotenv(root_dir / ".env")


class CustomClassToJsonFile(PythonObjectJson):
    def __init__(self, message: str):
        super().__init__()
        self.message = message


custom_class_to_json_file = CustomClassToJsonFile("Hello, World!")

output_dir = root_dir / "output"
if not output_dir.is_dir():
    output_dir.mkdir(parents=True, exist_ok=True)

custom_class_to_json_file.save_to_json_file(output_dir / "custom_class_to_json_file.json")

custom_class_to_json_file.load_from_json_file(output_dir / "custom_class_to_json_file.json")

JSON File Output
{
  "__main__.customclasstojsonfile": {
    "message": "Hello, World!"
  }
}

MongoDB
  • MongoDB (using pymongo): The pyobjson library includes a class called pyobjson.dao.PythonObjectJsonToMongo, which can be used as a superclass for any custom class you wish to be able to easily serialized/deserialize to/from MongoDB. Use the PythonObjectJsonToMongo.save_to_mongo(mongo_collection) and PythonObjectJsonToMongo.load_from_mongo(mongo_collection, document_id) methods to save/load your custom Python subclasses to MongoDB.

MongoDB Example
import os
from pathlib import Path

from dotenv import load_dotenv

from pyobjson.dao.mongo.base import PythonObjectJsonToMongo

load_dotenv(Path(__file__).parent / ".env")


class CustomClassToMongo(PythonObjectJsonToMongo):
    def __init__(self, mongo_host: str, mongo_port: int, mongo_database: str, mongo_user: str, mongo_password: str):
        super().__init__(mongo_host, mongo_port, mongo_database, mongo_user, mongo_password)
        self.message = "Hello, World!"


custom_class_to_mongo = CustomClassToMongo(
    mongo_host=os.environ.get("MONGO_HOST"),
    mongo_port=int(os.environ.get("MONGO_PORT")),
    mongo_database=os.environ.get("MONGO_DATABASE"),
    mongo_user=os.environ.get("MONGO_ADMIN_USER"),
    mongo_password=os.environ.get("MONGO_ADMIN_PASS"),
)

saved_mongo_document_id = custom_class_to_mongo.save_to_mongo(os.environ.get("MONGO_COLLECTION"))

custom_class_to_mongo.load_from_mongo(os.environ.get("MONGO_COLLECTION"), saved_mongo_document_id)

MongoDB Output

print(custom_class_to_mongo):

{
  "__main__.customclasstomongo": {
    "message": "Hello, World!"
  }
}

print(repr(custom_class_to_mongo)):

__main__.CustomClassToMongo(mongo_host=localhost,mongo_port=27017,mongo_database=pyobjson,mongo_user=<mongodb_user>,mongo_password=<mongodb_password>)

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

pyobjson-6.0.1.tar.gz (3.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyobjson-6.0.1-py3-none-any.whl (15.6 kB view details)

Uploaded Python 3

File details

Details for the file pyobjson-6.0.1.tar.gz.

File metadata

  • Download URL: pyobjson-6.0.1.tar.gz
  • Upload date:
  • Size: 3.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.8

File hashes

Hashes for pyobjson-6.0.1.tar.gz
Algorithm Hash digest
SHA256 48674ae6e448029d2b6818fc8f6a7e92ce070b67aa75263bc9347dd39e0ef9e1
MD5 dd87ee13fbf2f42ebfb198d10eb5973c
BLAKE2b-256 09c667dd24a1023589e798ec84c07d850dce17653b7dacf9e6c19a73455387c9

See more details on using hashes here.

File details

Details for the file pyobjson-6.0.1-py3-none-any.whl.

File metadata

  • Download URL: pyobjson-6.0.1-py3-none-any.whl
  • Upload date:
  • Size: 15.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.8

File hashes

Hashes for pyobjson-6.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 020d2a22dc947c59bc7a0e302d14e20b15a62695b11aacf9f501a95db3c4934c
MD5 4b771e427c7c1fa17ec4e90b8d115e49
BLAKE2b-256 ede8a6e95965717a06197372bfb6493959c802f63dd601dca58265e0f039fbee

See more details on using hashes here.

Supported by

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