nayan32biswas / mongodb-odm

MongoDB-ODM, NOSQL databases in Python, designed for simplicity, compatibility, and robustness.
https://mongodb-odm.readthedocs.io
MIT License
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mongodb python

MongoDB-ODM

MongoDB-ODM, NOSQL databases in Python, designed for simplicity, compatibility, and robustness.

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Documentation: https://mongodb-odm.readthedocs.io

PyPi: https://pypi.org/project/mongodb-odm

Repository: https://github.com/nayan32biswas/mongodb-odm


Introduction

The purpose of this module is to provide easy access to the database with the python object feature with MongoDB and PyMongo. With PyMongo that was very easy to make spelling mistakes in a collection name when you are doing database operation. This module provides you with minimal ODM with a modeling feature so that you don’t have to look up the MongoDB dashboard(Mongo Compass) to know about field names or data types.

MongoDB-ODM is based on Python type annotations, and powered by PyMongo and Pydantic.

The key features are:


Requirement

MongoDB-ODM will work on Python 3.8 and above

This MongoDB-ODM is built on top of PyMongo and Pydantic. Those packages are required and will auto-install while MongoDB-ODM was installed.

Installation

$ pip install mongodb-odm

Example

Define model

import os
from typing import Optional

from mongodb_odm import ASCENDING, Document, IndexModel, connect

class Player(Document):
    name: str
    country_code: str
    rating: Optional[int] = None

    class ODMConfig(Document.ODMConfig):
        indexes = [
            IndexModel([("rating", ASCENDING)]),
        ]

Set Connection

connect(os.environ.get("MONGO_URL", "mongodb://localhost:27017/testdb"))

Create Document

pele = Player(name="Pelé", country_code="BRA").create()
maradona = Player(name="Diego Maradona", country_code="ARG", rating=97).create()
zidane = Player(name="Zinedine Zidane", country_code="FRA", rating=96).create()

Retrieve Document

Find data from collection

for player in Player.find():
    print(player)

Find one object with filter

player = Player.find_one({"name": "Pelé"})

Update Data

player = Player.find_one({"name": "Pelé"})
if player:
    player.rating = 98  # potential
    player.update()

Delete Data

player = Player.find_one({"name": "Pelé"})
if player:
    player.delete()

Apply Indexes

import os
from typing import Optional

from mongodb_odm import ASCENDING, Document, IndexModel, connect

class Player(Document):
    name: str
    country_code: str
    rating: Optional[int] = None

    class ODMConfig(Document.ODMConfig):
        indexes = [
            IndexModel([("rating", ASCENDING)]),
        ]

Example Code

This is the example of full code of above.

import os
from typing import Optional

from mongodb_odm import ASCENDING, Document, IndexModel, connect

class Player(Document):
    name: str
    country_code: str
    rating: Optional[int] = None

    class ODMConfig(Document.ODMConfig):
        indexes = [
            IndexModel([("rating", ASCENDING)]),
        ]

connect(os.environ.get("MONGO_URL", "mongodb://localhost:27017/testdb"))

pele = Player(name="Pelé", country_code="BRA").create()
maradona = Player(name="Diego Maradona", country_code="ARG", rating=97).create()
zidane = Player(name="Zinedine Zidane", country_code="FRA", rating=96).create()

for player in Player.find():
    print(player)

player = Player.find_one({"name": "Pelé"})
if player:
    player.rating = 98  # potential
    player.update()

player = Player.find_one({"name": "Pelé"})
if player:
    player.delete()  # RIP

Supported Framework

MongoDB-ODM is not framework dependent. We can use this package in any system. But we take special consideration being compatible with FastAPI and Flask.

Credit

This package is built on top of PyMongo and Pydantic.

Documentation generated by MkDocs and Material for MkDocs.

Documentation inspired by SQLModel.

But we use other packages for development and other purposes. Check pyproject.toml to know about all packages we use to build this package.

License

This project is licensed under the terms of the MIT license.