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, 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

Example

from typing import Optional
from pydantic import BaseModel
from beanie import Document, Indexed, init_beanie
import asyncio, motor

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

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

    # Init 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"})
    
asyncio.run(example())

Links

Documentation

  • Doc - Tutorial, API docmentation, and development guidlines.

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-1.11.7.tar.gz (45.2 kB view details)

Uploaded Source

Built Distribution

beanie-1.11.7-py3-none-any.whl (68.7 kB view details)

Uploaded Python 3

File details

Details for the file beanie-1.11.7.tar.gz.

File metadata

  • Download URL: beanie-1.11.7.tar.gz
  • Upload date:
  • Size: 45.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.10.5 Linux/5.15.0-1014-azure

File hashes

Hashes for beanie-1.11.7.tar.gz
Algorithm Hash digest
SHA256 57c87b3e31f7008ade649a7c17bb7ccac53b8eac97cfdc979b23986da21daa42
MD5 05c49cedcc0edb025abae5786a19a067
BLAKE2b-256 a0b3116abb95f7201f639d022b6082c50ac368388dcfa30c5ee9342a8cc06918

See more details on using hashes here.

File details

Details for the file beanie-1.11.7-py3-none-any.whl.

File metadata

  • Download URL: beanie-1.11.7-py3-none-any.whl
  • Upload date:
  • Size: 68.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.10.5 Linux/5.15.0-1014-azure

File hashes

Hashes for beanie-1.11.7-py3-none-any.whl
Algorithm Hash digest
SHA256 71061b5a643034056916df3a80ae24379bd906ad8e851c4eaf273398e314e0dc
MD5 65685880c93b3274955d63b6e2af67df
BLAKE2b-256 587f187a683c91031213f1af38db09ca9e4e9bf64009b49e069a8049093f6ae5

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