Skip to main content

Pydantic Async Mongo Document

Project description

Pydantic Mongo Document

pydantic_mongo_document is a Python library that provides a base class for creating MongoDB documents using Pydantic models.

Installation

Install the package using pip or poetry.

Using pip

pip install pydantic_mongo_document

Using poetry

poetry add pydantic_mongo_document

Usage To use pydantic_mongo_document, you need to create a Pydantic model that represents your MongoDB document and inherit from the MongoDocument class provided by the library. Here's an example:

from pydantic_mongo_document import Document

class User(Document):
    __collection__ = "users"
    __database__ = "production"

    name: str
    email: str

In this example, we define a User Pydantic Document model with two fields (name and email) and
specifies the MongoDB collection name (users) and database name (production) using the __collection__ and __database__ class attributes.

from pydantic_mongo_document import Document


# Set the MongoDB replica configuration
Document.set_replica_config({"localhost": "mongodb://localhost:27017"})


class User(Document):
    __replica__ = "localhost"
    __collection__ = "users"
    __database__ = "production"

    name: str
    email: str


async def create_user():
    user = User(name="John", email="john@example.com")

    await user.insert()

    user = await User.one(add_query={"name": "John"})
    print(user)  # User(id=ObjectId("64fc59cf6410868c9a40644b"), name="John", email="john@example")

In this example, we created new User in database. We then used the User.one method to retrieve the user from the database.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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

pydantic_mongo_document-0.2.5.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

pydantic_mongo_document-0.2.5-py3-none-any.whl (12.2 kB view details)

Uploaded Python 3

File details

Details for the file pydantic_mongo_document-0.2.5.tar.gz.

File metadata

  • Download URL: pydantic_mongo_document-0.2.5.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.11.1 Darwin/24.0.0

File hashes

Hashes for pydantic_mongo_document-0.2.5.tar.gz
Algorithm Hash digest
SHA256 60382c15388885a60ef74c1848044b3968d059129defd1f65f63b5c2f131d4e7
MD5 337a63bfe6b0ecdbd497a28738bfefe0
BLAKE2b-256 a02f893f9ac58b9a1c57f4e31549bfe12550969cae362fd72e61772f967b2a04

See more details on using hashes here.

File details

Details for the file pydantic_mongo_document-0.2.5-py3-none-any.whl.

File metadata

File hashes

Hashes for pydantic_mongo_document-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 fdf63a0f5e736ef95c5a426a06498a19332812b3641a0c4662b18f28e43b1ac7
MD5 0c63ee94e451f3dac282b1e3854ac296
BLAKE2b-256 5be6fa5db5f9093ad6eb2dffe7b1ff8e28c2fd48fd981724592693cdd7f13067

See more details on using hashes here.

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