pyobjson 4.3.0

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

from pyobjson import PythonObjectJson

pyobjson - Python Object JSON Tool

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

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

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

 

Table of Contents

• About
  • Dependencies
  • Toolchain
• Usage
  • JSON Example
    • JSON Example Output
  • Saving and Loading
    • JSON Files
      • JSON File Example
      • JSON File Output
    • MongoDB
      • MongoDB Example
      • MongoDB Output

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About

The Python Object JSON Tool is a utility library for serializing/deserializing custom Python objects to/from JSON.

Dependencies

The 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.

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

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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 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>)