MongoDB Data Layer

A data modeling MongoDB library for Python

Installation

1. Install the python package via pip:

pip install mongodb-data-layer

Note: It is better to create a python virtual environment...

2. Setup an environment variables:

   • To create an environment variables, simply create a file named ".env".
   • Then, add these following variables to a created file:

   MONGO_DB_URL="mongodb://localhost:27020" # The default mongodb localhost but you can also put a connection string from atlas server.
   MONGO_DB_NAME="my_database" # Your created database
   

3. To create a model you can simply enter this command on a command promt:

generate-model /models/test_model.py  # where '/models/test_model.py' is your file path and file name

4. It will generate a file like this:

#A MongoDB model for the tests collection
from mongodb_data_layer.base import BaseMongoModel

class Test(BaseMongoModel):
    
    collection_name = 'tests' # Create a collection with this name in the database

Notes

This library is very useful to lessen the configuration for mongodb database.

This package is build on top of MongoDB official package/drivers.

This is also works well in fastapi.

This library is currently in development. Feel free to contribute.

Official repository: https://github.com/nojram00/mongodb-data-layer