### Install django-pydantic-field Package

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Instructions for installing the `django-pydantic-field` package using pip, which is the standard Python package installer.

```Shell
pip install django-pydantic-field
```

--------------------------------

### Define Django Model Fields with Pydantic Schemas

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Demonstrates how to integrate Pydantic models (`Foo`, `Bar`) with Django models using `SchemaField`. It shows inferring schemas from field annotations, explicitly passing schemas, and handling Pydantic exportable types like `date` and `UUID`. Includes an example of model instantiation, saving, and data validation against the defined Pydantic schemas.

```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")}
```

--------------------------------

### Integrate Pydantic SchemaField with Django ModelForm

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Shows how `django_pydantic_field` automatically supports `ModelForm` and `modelform_factory` for fields backed by Pydantic schemas. It includes examples for both.

```Python
class MyModelForm(forms.ModelForm):
    class Meta:
        model = MyModel
        fields = ["foo_field"]

form = MyModelForm(data={"foo_field": '{"count": 5}'})
assert form.is_valid()
assert form.cleaned_data["foo_field"] == Foo(count=5)

...

# ModelForm factory support
AnotherModelForm = modelform_factory(MyModel, fields=["foo_field"])
form = AnotherModelForm(data={"foo_field": '{"count": 5}'})

assert form.is_valid()
assert form.cleaned_data["foo_field"] == Foo(count=5)
```

--------------------------------

### Use Forward References with SchemaField

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Illustrates how to use `SchemaField` with string literal type annotations for Pydantic models that are defined later in the code. This allows for forward referencing of schemas, with type resolution postponed until the first model instantiation, and is supported by internal checks during Django management commands.

```Python
class MyModel(models.Model):
    foo_field: "Foo" = SchemaField()
    bar_list: typing.Sequence["Bar"] = SchemaField(schema=typing.ForwardRef("list[Bar]"))


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


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

--------------------------------

### Use django-jsonform Widget with SchemaField

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Explains how to integrate `django-jsonform` widgets with `SchemaField` for dynamic form construction, specifically for Pydantic v2.

```Python
from django_pydantic_field.forms import SchemaField
from django_jsonform.widgets import JSONFormWidget

class FooForm(forms.Form):
    field = SchemaField(Foo, widget=JSONFormWidget)
```

--------------------------------

### Define Django Form with Pydantic SchemaField

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Demonstrates how to create a Django form using `SchemaField` to validate against a Pydantic `BaseModel`. It shows form instantiation, validation, and accessing cleaned data.

```Python
from django import forms
from django_pydantic_field.forms import SchemaField


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


class FooForm(forms.Form):
    field = SchemaField(Foo)  # `typing.ForwardRef("Foo")` is fine too, but only in Django 4+


form = FooForm(data={"field": '{"slug": "asdf"}'})
assert form.is_valid()
assert form.cleaned_data["field"] == Foo(slug="asdf")
```

--------------------------------

### Implement Django REST Framework Serializer with SchemaField

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Demonstrates using `SchemaField` within a `ModelSerializer` for Django REST Framework and enabling OpenAPI schema generation with `AutoSchema` for `RetrieveAPIView`.

```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()
```

--------------------------------

### Apply Global SchemaParser and SchemaRenderer in DRF Views

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Illustrates a global approach for handling Pydantic schemas in Django REST Framework views using `@parser_classes` and `@renderer_classes` decorators for function-based views, and `parser_classes`/`renderer_classes` attributes for class-based views. It also shows `AutoSchema` for OpenAPI generation.

```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])
```

--------------------------------

### Override Django Admin Widget for PydanticSchemaField

Source: https://github.com/surenkov/django-pydantic-field/blob/master/README.md

Shows how to globally override the default form widget for `PydanticSchemaField` in the Django Admin site using `formfield_overrides` without writing custom admin forms.

```Python
from django.contrib import admin
from django_jsonform.widgets import JSONFormWidget

# NOTE: Importing direct field class instead of `SchemaField` wrapper.
from django_pydantic_field.v2.fields import PydanticSchemaField

@admin.site.register(MyModel)
class MyModelAdmin(admin.ModelAdmin):
    formfield_overrides = {
        PydanticSchemaField: {"widget": JSONFormWidget},
    }
```

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