from pyobjson import PythonObjectJson
pyobjson - Python Object JSON Tool¶
Utility library for serializing/deserializing custom Python objects to/from JSON.
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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 apyobjson
-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 apyobjson
-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)
andPythonObjectJson.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
): Thepyobjson
library includes a class calledpyobjson.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 thePythonObjectJsonToMongo.save_to_mongo(mongo_collection)
andPythonObjectJsonToMongo.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>)