MongoDB-ODM
MongoDB-ODM, NOSQL databases in Python, designed for simplicity, compatibility, and robustness.
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:
- Intuitive to write: Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs.
- Easy to use: It has sensible defaults and does a lot of work underneath to simplify the code you write.
- Compatible: It is designed to be compatible with FastAPI, Pydantic, and PyMongo.
- Extensible: You have all the power of PyMongo and Pydantic underneath.
- Short: Minimize code duplication. A single type annotation does a lot of work. No need to duplicate models in PyMongo and Pydantic.
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
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)]),
]
- To create indexes in the database declare IndexModel and assign in indexes array in ODMConfig class. IndexModel modules that are directly imported from pymongo.
- Import the
apply_indexes
from mongodb_odm
. Call the apply_indexes
function from your CLI. You can use Typer to implement CLI.
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
player.update()
player = Player.find_one({"name": "Pelé"})
if player:
player.delete()
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.