Skip to main content

Django Schema - Builds Pydantic Schemas from Django Models with default field type validations

Project description

Test PyPI version PyPI version PyPI version Codecov Downloads

Ninja Schema

Ninja Schema converts your Django ORM models to Pydantic schemas with more Pydantic features supported.

Inspired by: django-ninja and djantic

Notice

Starting version 0.13.4, Ninja schema will support both v1 and v2 of pydantic library and will closely monitor V1 support on pydantic package.

Requirements

Python >= 3.8 django >= 3 pydantic >= 1.6

Key features:

  • Custom Field Support: Ninja Schema converts django model to native pydantic types which gives you quick field validation out of the box. eg Enums, email, IPAddress, URLs, JSON, etc
  • Field Validator: Fields can be validated with model_validator just like pydantic validator or root_validator.

Installation

pip install ninja-schema

Example

Checkout this sample project: https://github.com/eadwinCode/bookstoreapi

Configuration Properties

  • model: Django Model
  • include: Fields to include, default: '__all__'. Please note that when include = __all__, model's PK becomes optional
  • exclude: Fields to exclude, default: set()
  • optional: Fields to mark optional, default: set() optional = '__all__' will make all schema fields optional
  • depth: defines depth to nested generated schema, default: 0

model_validator(*args, **kwargs)

model_validator is a substitute for pydantic validator used for pre and post fields validation. There functionalities are the same. More info pydantic validators

from django.contrib.auth import get_user_model
from ninja_schema import ModelSchema, model_validator

UserModel = get_user_model()


class CreateUserSchema(ModelSchema):
    class Config:
        model = UserModel
        include = ['username', 'email', 'password']

    @model_validator('username')
    def validate_unique_username(cls, value_data: str) -> str:
        if UserModel.objects.filter(username__icontains=value_data).exists():
            raise ValueError('Username exists')
        return value_data

from_orm(cls, obj: Any)

You can generate a schema instance from your django model instance

from typings import Optional
from django.contrib.auth import get_user_model
from ninja_schema import ModelSchema, model_validator

UserModel = get_user_model()
new_user = UserModel.objects.create_user(
    username='eadwin', email='eadwin@example.com', 
    password='password', first_name='Emeka', last_name='Okoro'
)


class UserSchema(ModelSchema):
    class Config:
        model = UserModel
        include = ['id','first_name', 'last_name', 'username', 'email']

schema = UserSchema.from_orm(new_user)
print(schema.json(indent=2)
{
    "id": 1,
    "first_name": "Emeka",
    "last_name": "Okoro",
    "email": "eadwin@example.com",
    "username": "eadwin",
}

apply(self, model_instance, **kwargs)

You can transfer data from your ModelSchema to Django Model instance using the apply function. The apply function uses Pydantic model .dict function, dict function filtering that can be passed as kwargs to the .apply function.

For more info, visit Pydantic model export

from typings import Optional
from django.contrib.auth import get_user_model
from ninja_schema import ModelSchema, model_validator

UserModel = get_user_model()
new_user = UserModel.objects.create_user(username='eadwin', email='eadwin@example.com', password='password')


class UpdateUserSchema(ModelSchema):
    class Config:
        model = UserModel
        include = ['first_name', 'last_name', 'username']
        optional = ['username']  # `username` is now optional

schema = UpdateUserSchema(first_name='Emeka', last_name='Okoro')
schema.apply(new_user, exclude_none=True)

assert new_user.first_name == 'Emeka' # True
assert new_user.username == 'eadwin' # True

Generated Schema Sample

from django.contrib.auth import get_user_model
from ninja_schema import ModelSchema, model_validator

UserModel = get_user_model()


class UserSchema(ModelSchema):
    class Config:
        model = UserModel
        include = '__all__'
        depth = 2

        
print(UserSchema.schema())

{
    "title": "UserSchema",
    "type": "object",
    "properties": {
        "id": {"title": "Id", "extra": {}, "type": "integer"},
        "password": {"title": "Password", "maxLength": 128, "type": "string"},
        "last_login": {"title": "Last Login","type": "string", "format": "date-time"},
        "is_superuser": {"title": "Superuser Status",
            "description": "Designates that this user has all permissions without explicitly assigning them.",
            "default": false,
            "type": "boolean"
        },
        "username": {
            "title": "Username",
            "description": "Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.",
            "maxLength": 150,
            "type": "string"
        },
        "first_name": {
            "title": "First Name",
            "maxLength": 150,
            "type": "string"
        },
        "last_name": {
            "title": "Last Name",
            "maxLength": 150,
            "type": "string"
        },
        "email": {
            "title": "Email Address",
            "type": "string",
            "format": "email"
        },
        "is_staff": {
            "title": "Staff Status",
            "description": "Designates whether the user can log into this admin site.",
            "default": false,
            "type": "boolean"
        },
        "is_active": {
            "title": "Active",
            "description": "Designates whether this user should be treated as active. Unselect this instead of deleting accounts.",
            "default": true,
            "type": "boolean"
        },
        "date_joined": {
            "title": "Date Joined",
            "type": "string",
            "format": "date-time"
        },
        "groups": {
            "title": "Groups",
            "description": "The groups this user belongs to. A user will get all permissions granted to each of their groups.",
            "type": "array",
            "items": {
                "$ref": "#/definitions/Group"
            }
        },
        "user_permissions": {
            "title": "User Permissions",
            "description": "Specific permissions for this user.",
            "type": "array",
            "items": {
                "$ref": "#/definitions/Permission"
            }
        }
    },
    "required": [
        "password",
        "username",
        "groups",
        "user_permissions"
    ],
    "definitions": {
        "Permission": {
            "title": "Permission",
            "type": "object",
            "properties": {
                "id": {
                    "title": "Id",
                    "extra": {},
                    "type": "integer"
                },
                "name": {
                    "title": "Name",
                    "maxLength": 255,
                    "type": "string"
                },
                "content_type_id": {
                    "title": "Content Type",
                    "type": "integer"
                },
                "codename": {
                    "title": "Codename",
                    "maxLength": 100,
                    "type": "string"
                }
            },
            "required": [
                "name",
                "content_type_id",
                "codename"
            ]
        },
        "Group": {
            "title": "Group",
            "type": "object",
            "properties": {
                "id": {
                    "title": "Id",
                    "extra": {},
                    "type": "integer"
                },
                "name": {
                    "title": "Name",
                    "maxLength": 150,
                    "type": "string"
                },
                "permissions": {
                    "title": "Permissions",
                    "type": "array",
                    "items": {
                        "$ref": "#/definitions/Permission"
                    }
                }
            },
            "required": [
                "name",
                "permissions"
            ]
        }
    }
}

Download files

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

Source Distribution

ninja_schema-0.13.6.tar.gz (30.4 kB view hashes)

Uploaded Source

Built Distribution

ninja_schema-0.13.6-py3-none-any.whl (20.2 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