djantic 0.2.0

Pydantic model support for Django ORM

Djantic

Pydantic model support for Django ORM.

Documentation: https://jordaneremieff.github.io/djantic/

Requirements: Python 3.7+, Django 2+

Status

This project should be considered a work-in-progress. It should be okay to use, but no specific version support is guaranteed yet and expected outputs and behaviour may change as it continues to be developed.

There is a lot of Pydantic behaviour to cover, so please use the issues tracker for any bug reports or if something seems incorrect.

Quickstart

Install using pip:

pip install djantic

An example of basic schema usage:

from djantic import ModelSchema

class UserSchema(ModelSchema):
    class Config:
        model = User

UserSchema.schema()

The schema call above would return something like this:

{
        "title": "UserSchema",
        "description": "A user of the application.",
        "type": "object",
        "properties": {
            "profile": {"title": "Profile", "description": "None", "type": "integer"},
            "id": {"title": "Id", "description": "id", "type": "integer"},
            "first_name": {
                "title": "First Name",
                "description": "first_name",
                "maxLength": 50,
                "type": "string",
            },
            "last_name": {
                "title": "Last Name",
                "description": "last_name",
                "maxLength": 50,
                "type": "string",
            },
            "email": {
                "title": "Email",
                "description": "email",
                "maxLength": 254,
                "type": "string",
            },
            "created_at": {
                "title": "Created At",
                "description": "created_at",
                "type": "string",
                "format": "date-time",
            },
            "updated_at": {
                "title": "Updated At",
                "description": "updated_at",
                "type": "string",
                "format": "date-time",
            },
        },
        "required": ["first_name", "email", "created_at", "updated_at"],
    }

Use the from_django method to populate the models with values:

user = User.objects.create(
    first_name="Jordan", 
    last_name="Eremieff", 
    email="[e-mail]"
)

user_schema = UserSchema.from_django(user)

The object values can be validated and serialized using the Pydantic export methods.

user_json = user_schema.json()

To produce a result such as:

{
    "profile": null,
    "id": 1,
    "first_name": "Jordan",
    "last_name": "Eremieff",
    "email": "[e-mail]",
    "created_at": "2020-08-15T16:50:30.606345+00:00",
    "updated_at": "2020-08-15T16:50:30.606452+00:00"
}