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Asynchronous Python ODM for MongoDB

Project description

Beanie

Beanie - is an Asynchronous Python object-document mapper (ODM) for MongoDB, based on Motor and Pydantic.

When using Beanie each database collection has a corresponding Document that is used to interact with that collection. In addition to retrieving data, Beanie allows you to add, update, or delete documents from the collection as well.

Beanie saves you time by removing boiler-plate code and it helps you focus on the parts of your app that actually matter.

Data and schema migrations are supported by Beanie out of the box.

Installation

PIP

pip install beanie

Poetry

poetry add beanie

Quick Start

from typing import Optional, List

import motor
from beanie import Document, init_beanie
from pydantic import BaseModel


class Tag(BaseModel):
    name: str
    color: str


class Note(Document):
    title: str
    text: Optional[str]
    tag_list: List[Tag] = []


async def main():
    # Crete Motor client
    client = motor.motor_asyncio.AsyncIOMotorClient(
        "mongodb://user:pass@host:27017"
    )
    
    # Init beanie with the Note document class
    await init_beanie(database=client.db_name, document_models=[Note])

    # Get all the notes
    all_notes = await Note.find_all().to_list()

Documentation

ODM

  • Tutorial - ODM usage examples
  • API - Full list of the ODM classes and methods with descriptions

Migrations

Example Projects

  • FastAPI Demo - Beanie and FastAPI collaboration demonstration. CRUD and Aggregation.
  • Indexes Demo - Regular and Geo Indexes usage example wrapped to a microservice.

Articles

Resources

  • GitHub - GitHub page of the project
  • Changelog - list of all the valuable changes
  • Discord - ask your questions, share ideas or just say Hello!!

Supported by JetBrains

JetBrains

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