Skip to main content

Asynchronous Python ODM for MongoDB

Project description

Beanie

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

This version

1.6.1

Download files

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

Source Distribution

beanie-1.6.1.tar.gz (35.0 kB view details)

Uploaded Source

Built Distribution

beanie-1.6.1-py3-none-any.whl (54.4 kB view details)

Uploaded Python 3

File details

Details for the file beanie-1.6.1.tar.gz.

File metadata

  • Download URL: beanie-1.6.1.tar.gz
  • Upload date:
  • Size: 35.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.9.7 Linux/5.8.0-1042-azure

File hashes

Hashes for beanie-1.6.1.tar.gz
Algorithm Hash digest
SHA256 94e73c2a74825b7d85a0dc96deb4e5fb81bfe4701020c8786ec8d9ec160bf9d5
MD5 a89f1b608d3c31709690ec9ceba141fb
BLAKE2b-256 dfccf43e0a331a029b4a40fb395eec980eda5635888fc00e3826aa44c16d3f79

See more details on using hashes here.

File details

Details for the file beanie-1.6.1-py3-none-any.whl.

File metadata

  • Download URL: beanie-1.6.1-py3-none-any.whl
  • Upload date:
  • Size: 54.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.9.7 Linux/5.8.0-1042-azure

File hashes

Hashes for beanie-1.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dcdae1fa968bb517bfe29f1065ed2cdde314b4acee7b1a37545116bf0663d032
MD5 e5219fb6e8d61c942137aa77412f4086
BLAKE2b-256 f8b98c5108da61917257983bc7c8fa2aa5ac2d22edbdb42843a90cc712abaf21

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