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-1.23.3.tar.gz (152.8 kB view details)

Uploaded Source

Built Distribution

beanie-1.23.3-py3-none-any.whl (79.5 kB view details)

Uploaded Python 3

File details

Details for the file beanie-1.23.3.tar.gz.

File metadata

  • Download URL: beanie-1.23.3.tar.gz
  • Upload date:
  • Size: 152.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for beanie-1.23.3.tar.gz
Algorithm Hash digest
SHA256 19471297f3ca0ffbef0a17d1c8b1bb101d0bddb0c91679b566bdfc90ef31166f
MD5 2cd1092217e3414c06484998ee584d91
BLAKE2b-256 f3af8d978dc1e6b30ce022f60268d0689cb2018be631833ed4bedb1c2d4f71f8

See more details on using hashes here.

File details

Details for the file beanie-1.23.3-py3-none-any.whl.

File metadata

  • Download URL: beanie-1.23.3-py3-none-any.whl
  • Upload date:
  • Size: 79.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for beanie-1.23.3-py3-none-any.whl
Algorithm Hash digest
SHA256 6f58a7c6ff8e5e76036e9307ab3951221667804e84460bd00c0556b2c793d91d
MD5 756d9dd84f5adcbdff65937ab0c3f69d
BLAKE2b-256 c0273b14cd1a91bbae90b3def25a0c19f3b241e9b47df1573af549934ec3b5a8

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