Use pydantic with Django REST framework
Pydantic is a Python library used to perform data serialization and validation.
Django REST framework is a framework built on top of Django used to write REST APIs.
If you develop DRF APIs and rely on pydantic for data validation/(de)serialization ,
then drf-pydantic
is for you 😍.
ℹ️ INFO
drf_pydantic
supportspydantic
v2. Due to breaking API changes inpydantic
v2 support forpydantic
v1 is available only indrf_pydantic
1.*.*.
pip install drf-pydantic
Use drf_pydantic.BaseModel
instead of pydantic.BaseModel
when creating your
models:
from drf_pydantic import BaseModel
class MyModel(BaseModel):
name: str
addresses: list[str]
MyModel.drf_serializer
would be equvalent to the following DRF Serializer class:
class MyModelSerializer:
name = CharField(allow_null=False, required=True)
addresses = ListField(
allow_empty=True,
allow_null=False,
child=CharField(allow_null=False),
required=True,
)
Whenever you need a DRF serializer you can get it from the model like this:
my_value = MyModel.drf_serializer(data={"name": "Van", addresses: ["Gym"]})
my_value.is_valid(raise_exception=True)
ℹ️ INFO
Models created usingdrf_pydantic
are fully idenditcal to those created bypydantic
. The only change is the addition of thedrf_serializer
attribute.
If you have an existing code base and you would like to add the drf_serializer
attribute only to some of your models, then I have great news 🥳 - you can easily
extend your existing pydantic
models by adding drf_pydantic.BaseModel
to the list
of parent classes of the model you want to extend.
Your existing pydantic models:
from pydantic import BaseModel
class Pet(BaseModel):
name: str
class Dog(Pet):
breed: str
Update your Dog
model and get serializer via the drf_serializer
:
from drf_pydantic import BaseModel as DRFBaseModel
from pydantic import BaseModel
class Pet(BaseModel):
name: str
class Dog(DRFBaseModel, Pet):
breed: str
Dog.drf_serializer
⚠️ ATTENTION
Inheritance order is important:drf_pydantic.BaseModel
must always go before thepydantic.BaseModel
class.
If you have nested models and you want to generate serializer only from one of them,
you don't have to update all models - only update the model you need, drf_pydantic
will generate serializers for all normal nested pydantic
models for free 🥷.
from drf_pydantic import BaseModel as DRFBaseModel
from pydantic import BaseModel
class Apartment(BaseModel):
floor: int
tenant: str
class Building(BaseModel):
address: str
aparments: list[Apartment]
class Block(DRFBaseModel):
buildings: list[Buildind]
Block.drf_serializer
- Add support for custom field types (both for pydantic and DRF)
- Add option to create custom serializer for complex models