Skip to main content

A production-ready modern Python MongoDB ODM

Project description

Typed Mongo

A production-ready modern Python MongoDB ODM

In addition to synchronous mode, you can use asynchronous mode, just export from typedmongo.asyncio.

Install

pip install typedmongo

Usage

Usage examples trump all usage documentation. So please look at the Example below first.

Example
from motor.motor_asyncio import AsyncIOMotorClient as MongoClient

import typedmongo.asyncio as mongo


class Wallet(mongo.Table):
    balance: mongo.DecimalField


class User(mongo.MongoTable):
    name: mongo.StringField
    age: mongo.IntegerField
    tags: mongo.ListField[str]
    wallet: mongo.EmbeddedField[Wallet]
    created_at: mongo.DateTimeField = mongo.DateTimeField(
        default=lambda: datetime.datetime.now(datetime.timezone.utc)
    )
    children: mongo.ListField[User]
    extra: mongo.DictField = mongo.DictField(default=dict)


async def main():
    await mongo.initial_collections(
        MongoClient().mongo,
        User,
    )

    # Insert one document
    document_id = await User.objects.insert_one(
        User.load(
            {
                "name": "Aber",
                "age": 18,
                "tags": ["a", "b"],
                "wallet": {"balance": 100},
                "children": [],
            },
        )
    )

    # Find one document
    user = await User.objects.find_one(User._id == document_id, sort=[+User.age])

    # Update one document
    update_result = await User.objects.update_one(
        User._id == document_id, {"$set": {"tags": ["a", "b", "e", "r"]}}
    )

    # Delete one document
    delete_result = await User.objects.delete_one(User._id == document_id)

    # Find one and update
    user = await User.objects.find_one_and_update(
        User._id == document_id, {"$set": {"tags": ["a", "b", "e"]}}
    )

    # Find one and replace
    user = await User.objects.find_one_and_replace(
        User._id == document_id,
        User.load({"name": "Aber", "age": 0}),
        after_document=True,
    )

    # Find one and delete
    user = await User.objects.find_one_and_delete(User._id == document_id)

    # Find many documents and sort
    users = [user async for user in User.objects.find(User.age == 18, sort=[-User.age])]

    # Update many documents
    update_result = await User.objects.update_many(
        User.wallet._.balance == Decimal("100"), {"$inc": {"wallet.balance": 10}}
    )

    # Count documents
    await User.objects.count_documents(User.age >= 0)

    # Bulk write operations
    await User.objects.bulk_write(
        mongo.DeleteOne(User._id == 0),
        mongo.DeleteMany(User.age < 18),
        mongo.InsertOne(User.load({"name": "InsertOne"}, partial=True)),
        mongo.ReplaceOne(User.name == "Aber", User.load({}, partial=True)),
        mongo.UpdateMany({}, {"$set": {"age": 25}}),
        mongo.UpdateMany(User.name == "Yue", {"$set": {"name": "yue"}}),
    )

Table

  • Table.load: Load data from dict to instance, and validate the data.
  • Table.dump: Dump the instance to jsonable dict.

Field

  • ObjectIdField
  • StringField
  • IntegerField
  • DecimalField
  • DateTimeField
  • DictField
  • EmbeddedField
  • ListField

Conditional expressions

Comparison expressions

  • Table.field == value
  • Table.field != value
  • Table.field > value
  • Table.field >= value
  • Table.field < value
  • Table.field <= value

Logical expressions

  • (Table.field == value) & (Table.field == value)
  • (Table.field == value) | (Table.field == value)
  • ~(Table.field == value)
  • ~((Table.field == value) & (Table.field == value))
  • ~((Table.field == value) | (Table.field == value))

Sort expressions

  • +Table.field: Ascending
  • -Table.field: Descending

Project details


Download files

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

Source Distribution

typedmongo-1.5.0.tar.gz (23.6 kB view hashes)

Uploaded Source

Built Distribution

typedmongo-1.5.0-py3-none-any.whl (24.6 kB view hashes)

Uploaded Python 3

Supported by

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