Use pydantic with the Django REST framework
Project description
Use pydantic with Django REST framework
Introduction
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 😍.
Installation
pip install drf-pydantic
Usage
General
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.
Existing Models
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.
Nested Models
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
Roadmap
- Add support for custom field types (both for pydantic and DRF)
- Add option to create custom serializer for complex models
Project details
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