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A syncrounous and asyncrounous Python ODM for MongoDB based on Pydantic

Project description

PyODMongo

PyPI - Version

Overview

pyodmongo is a Python library that serves as an Object-Document Mapper (ODM) for MongoDB. It is built on top of the popular pydantic V2 library, making it easy to work with MongoDB documents in a Pythonic and efficient way.

With pyodmongo, you can seamlessly map your Python classes to MongoDB documents, allowing you to work with data in a more intuitive and Pythonic manner. It simplifies the process of defining and interacting with MongoDB collections, documents, and queries.

Key Features

  • Integration with pydantic: Leverage the power of pydantic's data validation and modeling capabilities while working with MongoDB data.

  • Automatic Schema Generation: Define your MongoDB schema using pydantic models, and pyodmongo will automatically create the necessary MongoDB collections and ensure data consistency.

  • Query Builder: Easily construct complex MongoDB queries using Python code, reducing the need for writing raw query strings.

  • Document Serialization: Serialize and deserialize Python objects to and from MongoDB documents effortlessly.

  • Async Support: Take advantage of asynchronous programming with pyodmongo to enhance the performance of your MongoDB operations.

  • Active Development: pyodmongo is actively developed and maintained, with new features and improvements being regularly added.

Installation

You can install pyodmongo using pip:

pip install pyodmongo

Contributing

Contributions to pyodmongo are welcome! If you find any issues or have ideas for improvements, please open an issue or submit a pull request on the GitHub repository.

License

pyodmongo is licensed under the MIT License. See the LICENSE file for more information.

Async exemple

from pyodmongo import AsyncDbEngine, DbModel
from typing import ClassVar
import asyncio

engine = AsyncDbEngine(mongo_uri='mongodb://localhost:27017', db_name='my_db')


class Product(DbModel):
    name: str
    price: float
    is_available: bool
    _collection: ClassVar = 'products'


box = Product(name='Box', price='5.99', is_available=True)


async def main():
    result = await engine.save(box)

asyncio.run(main())

Sync exemple

from pyodmongo import DbEngine, DbModel
from typing import ClassVar

engine = DbEngine(mongo_uri='mongodb://localhost:27017', db_name='my_db')


class Product(DbModel):
    name: str
    price: float
    is_available: bool
    _collection: ClassVar = 'products'


box = Product(name='Box', price='5.99', is_available=True)

result = engine.save(box)

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