Skip to main content

Asynchronous Python ODM for MongoDB

Project description

Beanie

shields badge pypi

Overview

Beanie - is an asynchronous Python object-document mapper (ODM) for MongoDB. Data models are based on 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 boilerplate 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.

There is a synchronous version of Beanie ODM - Bunnet

Installation

PIP

pip install beanie

Poetry

poetry add beanie

Example

import asyncio
from typing import Optional

from motor.motor_asyncio import AsyncIOMotorClient
from pydantic import BaseModel

from beanie import Document, Indexed, init_beanie


class Category(BaseModel):
    name: str
    description: str


class Product(Document):
    name: str                          # You can use normal types just like in pydantic
    description: Optional[str] = None
    price: Indexed(float)              # You can also specify that a field should correspond to an index
    category: Category                 # You can include pydantic models as well


# This is an asynchronous example, so we will access it from an async function
async def example():
    # Beanie uses Motor async client under the hood 
    client = AsyncIOMotorClient("mongodb://user:pass@host:27017")

    # Initialize beanie with the Product document class
    await init_beanie(database=client.db_name, document_models=[Product])

    chocolate = Category(name="Chocolate", description="A preparation of roasted and ground cacao seeds.")
    # Beanie documents work just like pydantic models
    tonybar = Product(name="Tony's", price=5.95, category=chocolate)
    # And can be inserted into the database
    await tonybar.insert() 
    
    # You can find documents with pythonic syntax
    product = await Product.find_one(Product.price < 10)
    
    # And update them
    await product.set({Product.name:"Gold bar"})


if __name__ == "__main__":
    asyncio.run(example())

Links

Documentation

  • Doc - Tutorial, API documentation, and development guidelines.

Example Projects

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

beanie-1.22.2.tar.gz (149.6 kB view details)

Uploaded Source

Built Distribution

beanie-1.22.2-py3-none-any.whl (79.9 kB view details)

Uploaded Python 3

File details

Details for the file beanie-1.22.2.tar.gz.

File metadata

  • Download URL: beanie-1.22.2.tar.gz
  • Upload date:
  • Size: 149.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for beanie-1.22.2.tar.gz
Algorithm Hash digest
SHA256 b6295151c758ae37663d101725a515e661ffb4bedc6e416e6d66f28c229f7c5f
MD5 a200655614aff982d8342154907881f5
BLAKE2b-256 ebd0d467304efd2110d3e94bc3f30b990c0301679e599a08e939b6d23a999332

See more details on using hashes here.

File details

Details for the file beanie-1.22.2-py3-none-any.whl.

File metadata

  • Download URL: beanie-1.22.2-py3-none-any.whl
  • Upload date:
  • Size: 79.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for beanie-1.22.2-py3-none-any.whl
Algorithm Hash digest
SHA256 03106c150db5276d228899d3b6a863fc4f47fbffdbc84087cb1acbf1796051f1
MD5 b023dab5390a7cd55f1f712313345bf3
BLAKE2b-256 846e2ff2d56c3dab4e7dd2d6f68944bee02151ca13a70c5732bec4851873a92e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page