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-1.23.6.tar.gz (153.0 kB view details)

Uploaded Source

Built Distribution

beanie-1.23.6-py3-none-any.whl (79.6 kB view details)

Uploaded Python 3

File details

Details for the file beanie-1.23.6.tar.gz.

File metadata

  • Download URL: beanie-1.23.6.tar.gz
  • Upload date:
  • Size: 153.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for beanie-1.23.6.tar.gz
Algorithm Hash digest
SHA256 9a9a36936188a44dcf16aa8930b450249eaa5c7ebc0edc056ad194bdec3539ca
MD5 fb6f44d4dff9708c4e6ba1cdf66a2bac
BLAKE2b-256 dbe0103f0d357d721ebf18fc1045769e1a3bc2c242fff60f77db474351112bc6

See more details on using hashes here.

File details

Details for the file beanie-1.23.6-py3-none-any.whl.

File metadata

  • Download URL: beanie-1.23.6-py3-none-any.whl
  • Upload date:
  • Size: 79.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for beanie-1.23.6-py3-none-any.whl
Algorithm Hash digest
SHA256 c780e0f951ee40faa688e7b0e56dc963486087c7e3970cd5a3d99cb47703e677
MD5 b6920731c82feca4bf7be5f20e1fb685
BLAKE2b-256 902dddb44050678dcc485086687ae26949eb2bcae300d87bf6816c13a7b886e5

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