Metadata-Version: 2.1
Name: django-pydantic-field
Version: 0.1.2
Summary: Django JSONField with Pydantic models as a Schema
Home-page: https://github.com/surenkov/django-pydantic-field
Author: Savva Surenkov
Author-email: savva@surenkov.space
Keywords: django,pydantic,json,schema
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Framework :: Django
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: rest
Provides-Extra: dev
License-File: LICENSE

[![PyPI Version](https://img.shields.io/pypi/v/django-pydantic-field)](https://pypi.org/project/django-pydantic-field/)

# Django + Pydantic = 🖤

Django JSONField with Pydantic models as a Schema

## Usage

Install the package with `pip install django-pydantic-field`.

``` python
import pydantic
from datetime import date
from uuid import UUID

from django.db import models
from django_pydantic_field import SchemaField


class Foo(pydantic.BaseModel):
    count: int
    size: float = 1.0


class Bar(pydantic.BaseModel):
    slug: str = "foo_bar"


class MyModel(models.Model):
    # Infer schema from field annotation
    foo_field: Foo = SchemaField()

    # or explicitly pass schema to the field
    bar_list: typing.Sequence[Bar] = SchemaField(schema=list[Bar])

    # Pydantic exportable types are supported
    raw_date_map: dict[int, date] = SchemaField()
    raw_uids: set[UUID] = SchemaField()

...
    
model = MyModel(
    foo_field={"count": "5"},
    bar_list=[{}],
    raw_date_map={1: "1970-01-01"},
    raw_uids={"17a25db0-27a4-11ed-904a-5ffb17f92734"}
)
model.save()

assert model.foo_field == Foo(count=5, size=1.0)
assert model.bar_list == [Bar(slug="foo_bar")]
assert model.raw_date_map = {1: date(1970, 1, 1)}
assert model.raw_uids = {UUID("17a25db0-27a4-11ed-904a-5ffb17f92734")}
```

Practically, schema could be of any type supported by Pydantic.
In addition, an external `config` class can be passed for such schemes.


It is possible to define deferred type annotations with string literals.
In this case, field schema resolution will be postponed until first model intance:
``` python
#  models.py

class FooModel(models.Model):
    field: "FooSchema" = SchemaField()

class FooSchema(pydantic.BaseModel):
    ...

...

#  logic.py
model = FooModel(field={})  # <<- "FooSchema" reference now resolved to actual schema class
```

### Django REST Framework support

``` python
from rest_framework import generics, serializers
from django_pydantic_field.rest_framework import SchemaField, AutoSchema


class MyModelSerializer(serializers.ModelSerializer):
    foo_field = SchemaField(schema=Foo)

    class Meta:
        model = MyModel
        fields = '__all__'


class SampleView(generics.RetrieveAPIView):
    serializer_class = MyModelSerializer

    # optional support of OpenAPI schema generation for Pydantic fields
    schema = AutoSchema()
```

Global approach with typed `parser` and `renderer` classes
``` python
from rest_framework import views
from rest_framework.decorators import api_view, parser_classes, renderer_classes
from django_pydantic_field.rest_framework import SchemaRenderer, SchemaParser, AutoSchema


@api_view(["POST"])
@parser_classes([SchemaParser[Foo]]):
@renderer_classes([SchemaRenderer[list[Foo]]])
def foo_view(request):
    assert isinstance(request.data, Foo)

    count = request.data.count + 1
    return Response([Foo(count=count)])


class FooClassBasedView(views.APIView):
    parser_classes = [SchemaParser[Foo]]
    renderer_classes = [SchemaRenderer[list[Foo]]]

    # optional support of OpenAPI schema generation for Pydantic parsers/renderers
    schema = AutoSchema()

    def get(self, request, *args, **kwargs):
        assert isinstance(request.data, Foo)
        return Response([request.data])

    def put(self, request, *args, **kwargs):
        assert isinstance(request.data, Foo)

        count = request.data.count + 1
        return Response([request.data])
```

## Acknowledgement

* [Churkin Oleg](https://gist.github.com/Bahus/98a9848b1f8e2dcd986bf9f05dbf9c65) for his Gist as a source of inspiration;
* Boutique Air Flight Operations platform as a test ground;

