TestDriven.io: Django and Pydantic

In this article, we’ll take a look at how to integrate Pydantic with a Django application using the Pydantic-Django and Django Ninja packages.

Pydantic

Pydantic is a Python package for data validation and settings management that’s based on Python type hints. It enforces type hints at runtime, provides user-friendly errors, allows custom data types, and works well with many popular IDEs. It’s extremely fast and easy to use as well!

Let’s look at an example:

from pydantic import BaseModel

class Song(BaseModel):
    id: int
    name: str

Here, we defined a Song model with two attributes, both of which are required:

id is an integer
name is a string

Validation then happens on initialization:

song = Song(id=1, name='I can almost see you')
song.name
"I can almost see you"

Song(id='1')
pydantic.error_wrappers.ValidationError: 1 validation error for Song
name
  field required (type=value_error.missing)

Song(id='foo', name='I can almost see you')
pydantic.error_wrappers.ValidationError: 1 validation error for Song
id
  value is not a valid integer (type=type_error.integer)

To learn more about Pydantic, be sure to read the Overview page from the official docs.

Pydantic and Django

When coupled with Django, we can use Pydantic to ensure that only data that matches the defined schemas are used in our application. So, we’ll define schemas for validating requests and responses, and when a validation error occurs, we’ll simply return a nice user-friendly error message.

While you can integrate Pydantic with Django without any third-party packages, we’ll simplify the process by leveraging the following packages:

Pydantic-Django – adds Pydantic support for validating model data
Django Ninja – along with Pydantic, this package gives you a number of additional bells and whistles, like auto-generated API documentation (via OpenAPI and JSON Schema), serialization, and API versioning

Django Ninja is heavily inspired by FastAPI. Check it out if you like FastAPI but still what to leverage much of what Django has to offer.

Pydantic-Django

Now that you have a basic idea of what Pydantic is, let’s take a look at a practical example. We’ll create a simple RESTful API, with Django and Pydantic-Django, that allows us to fetch, list, and create articles.

Basic Setup

Start by setting up a new Django project:

$ mkdir django-with-pydantic && cd django-with-pydantic
$ python3.9 -m venv env
$ source env/bin/activate

(env)$ pip install django==3.1.5
(env)$ django-admin.py startproject core .

After that, create a new app called blog:

(env)$ python manage.py startapp blog

# core/settings.py

INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
    'blog.apps.BlogConfig', # new
]

Create Database Models

Next, let’s create an Article model.

Add the following to blog/models.py:

# blog/models.py

from django.contrib.auth.models import User
from django.db import models


class Article(models.Model):
    author = models.ForeignKey(to=User, on_delete=models.CASCADE)
    created = models.DateTimeField(auto_now_add=True)
    title = models.CharField(max_length=512, unique=True)
    content = models.TextField()

    def __str__(self):
        return f'{self.author.username}: {self.title}'

Create then apply the migrations:

(env)$ python manage.py makemigrations
(env)$ python manage.py migrate

# blog/admin.py

from django.contrib import admin

from blog.models import Article


admin.site.register(Article)

Install Pydantic-Django and Create the Schemas

Install Pydantic and Pydantic-Django:

(env)$ pip install pydantic==1.7.3 pydantic-django==0.0.7

Now, we can define a schema, which will be used to-

Validate the fields from a request payload, and then use the data to create new model objects
Retrieve and validate model objects for response objects

Create a new file called blog/schemas.py:

# blog/schemas.py

from pydantic_django import ModelSchema

from blog.models import Article


class ArticleSchema(ModelSchema):
    class Config:
        model = Article

This is the simplest possible schema, which derives from our model.

Django models need to be loaded before schemas, so the schemas must live in a separate file in order to avoid model loading errors.

With schemas, you can also define which fields should and shouldn’t be included from a particular model by passing exclude or include to the Config. For example, to exclude author:

class ArticleSchema(ModelSchema):
    class Config:
        model = Article
        exclude = ['author']

# or

class ArticleSchema(ModelSchema):
    class Config:
        model = Article
        include = ['created', 'title', 'content']

You can also use schemas to override Django model properties by changing the fields inside the schema. For example:

class ArticleSchema(ModelSchema):
    title: Optional[str]

    class Config:
        model = Article

Views and URLs

Next, let’s set up the following endpoints:

/blog/articles/create/ creates a new article
/blog/articles/<ARTICLE_ID>/ fetches a single article
/blog/articles/ lists all articles

Add the following views to blog/views.py:

# blog/views.py

import json

from django.contrib.auth.models import User
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_http_methods

from blog.models import Article
from blog.schemas import ArticleSchema


@csrf_exempt  # testing purposes; you should always pass your CSRF token with your POST requests (+ authentication)
@require_http_methods('POST')
def create_article(request):
    try:
        json_data = json.loads(request.body)

        # fetch the user and pass it to schema
        author = User.objects.get(id=json_data['author'])
        schema = ArticleSchema.create(
            author=author,
            title=json_data['title'],
            content=json_data['content']
        )
        return JsonResponse({
            'article': schema.dict()
        })
    except User.DoesNotExist:
        return JsonResponse({'detail': 'Cannot find a user with this id.'}, status=404)


def get_article(request, article_id):
    try:
        article = Article.objects.get(id=article_id)
        schema = ArticleSchema.from_django(article)
        return JsonResponse({
            'article': schema.dict()
        })
    except Article.DoesNotExist:
        return JsonResponse({'detail': 'Cannot find an article with this id.'}, status=404)


def get_all_articles(request):
    articles = Article.objects.all()
    data = []

    for article in articles:
        schema = ArticleSchema.from_django(article)
        data.append(schema.dict())

    return JsonResponse({
        'articles': data
    })

Take note of the areas in which we’re using the schema, ArticleSchema:

ArticleSchema.create() creates a new Article object
schema.dict() returns a dictionary of the fields and values that we passed to JsonResponse
ArticleSchema.from_django() generates a schema from an Article object

Remember: Both create() and from_django() will also validate the data against the schema.

Add a urls.py file to “blog”, and define the following URLs:

# blog/urls.py

from django.urls import path

from blog import views

urlpatterns = [
    path('articles/create/', views.create_article),
    path('articles/<str:article_id>/', views.get_article),
    path('articles/', views.get_all_articles),
]

Now, let’s register our app URLs to the base project:

# core/urls.py

from django.contrib import admin
from django.shortcuts import render
from django.urls import path, include  # new import


urlpatterns = [
    path('admin/', admin.site.urls),
    path('blog/', include('blog.urls')),  # new
]

Sanity Check

To test, first create a superuser:

(env)$ python manage.py createsuperuser

Then, run the development server:

(env)$ python manage.py runserver

In a new terminal window, add a new article with cURL:

$ curl --header "Content-Type: application/json" --request POST 
  --data '{"author":"1","title":"Something Interesting", "content":"Really interesting."}' 
  http://localhost:8000/blog/articles/create/

You should see something like:

{
    "article": {
        "id": 1,
        "author": 1,
        "created": "2021-02-01T20:01:35.904Z",
        "title": "Something Interesting",
        "content": "Really interesting."
    }
}

You should then able to view the article at http://127.0.0.1:8000/blog/articles/1/ and http://127.0.0.1:8000/blog/articles/.

Response Schema

Want to remove the created field from the response for all articles?

Add a new schema to blog/schemas.py:

class ArticleResponseSchema(ModelSchema):
    class Config:
        model = Article
        exclude = ['created']

Then, update the view:

def get_all_articles(request):
    articles = Article.objects.all()
    data = []

    for article in articles:
        schema = ArticleResponseSchema.from_django(article)
        data.append(schema.dict())

    return JsonResponse({
        'articles': data
    })

Don’t forget to at the import:

from blog.schemas import ArticleSchema, ArticleResponseSchema

Test it out at http://127.0.0.1:8000/blog/articles/.

Django Ninja

Django Ninja is a tool for building APIs with Django and Python-based type hints. As mentioned, it comes with a number of powerful features. It’s “fast to learn, fast to code, fast to run”.

Basic Setup

Create a new Django project:

$ mkdir django-with-ninja && cd django-with-ninja
$ python3.9 -m venv env
$ source env/bin/activate

(env)$ pip install django==3.1.5
(env)$ django-admin.py startproject core .

Create a new app called blog:

(env)$ python manage.py startapp blog

# core/settings.py

INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
    'blog.apps.BlogConfig', # new
]

Create Database Models

Next, add an Article model to blog/models.py:

# blog/models.py

from django.contrib.auth.models import User
from django.db import models


class Article(models.Model):
    author = models.ForeignKey(to=User, on_delete=models.CASCADE)
    created = models.DateTimeField(auto_now_add=True)
    title = models.CharField(max_length=512, unique=True)
    content = models.TextField()

    def __str__(self):
        return f'{self.author.username}: {self.title}'

Create and apply the migrations:

(env)$ python manage.py makemigrations
(env)$ python manage.py migrate

# blog/admin.py

from django.contrib import admin

from blog.models import Article


admin.site.register(Article)

Install Django Ninja and Create the Schemas

Install:

(env)$ pip install django-ninja==0.10.1

Like with Pydantic-Django, you need to create schemas to validate your requests and responses. That said, auto-schema generation from Django models looks to be coming at some point.

For more on auto-schema generation support, review the Models to Schemas proposal.

Add the following to blog/schemas.py:

from datetime import datetime

from ninja import Schema


class UserSchema(Schema):
    id: int
    username: str


class ArticleIn(Schema):
    author: int
    title: str
    content: str


class ArticleOut(Schema):
    id: int
    author: UserSchema
    created: datetime
    title: str
    content: str

Here, we created three different schemas:

UserSchema validates and converts data to/from the Django user model
ArticleIn validates and de-serializes data passed to the API for creating articles
ArticleOut validates and serializes data from the Article model

Django Ninja has a concept of a router, which is used to split up an API into multiple modules.

Create a blog/api.py file:

# blog/api.py

from typing import List

from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
from ninja import Router

from blog.models import Article
from blog.schemas import ArticleOut, ArticleIn

router = Router()


@router.post('/articles/create')
def create_article(request, payload: ArticleIn):
    data = payload.dict()
    try:
        author = User.objects.get(id=data['author'])
        del data['author']
        article = Article.objects.create(author=author, **data)
        return {
            'detail': 'Article has been successfully created.',
            'id': article.id,
        }
    except User.DoesNotExist:
        return {'detail': 'The specific user cannot be found.'}


@router.get('/articles/{article_id}', response=ArticleOut)
def get_article(request, article_id: int):
    article = get_object_or_404(Article, id=article_id)
    return article


@router.get('/articles', response=List[ArticleOut])
def get_articles(request):
    articles = Article.objects.all()
    return articles

Here, we created three functions which serve as our views. Django Ninja uses HTTP operation decorators where you define the URL structure, path parameters, and optional request and response schemas.

Notes:

get_article uses ArticleOut for it’s response schema. ArticleOut will thus be used to validate and serialize data from the model automatically.
In get_articles, the Django queryset — e.g., articles = Article.objects.all() — will be validated properly with List[ArticleOut].

Register API Endpoints

The last thing we have to do is to create a new instance of NinjaAPI and register our API router in core/urls.py:

# core/urls.py

from django.contrib import admin
from django.urls import path
from ninja import NinjaAPI
from blog.api import router as blog_router

api = NinjaAPI()
api.add_router('/blog/', blog_router)

urlpatterns = [
    path('admin/', admin.site.urls),
    path('api/', api.urls),
]

With that, Django Ninja will automatically create the following endpoints:

/blog/articles/create/ creates a new article
/blog/articles/<ARTICLE_ID>/ fetches a single article
/blog/articles/ lists all articles

Sanity Check

Create a superuser, and then run the development server:

(env)$ python manage.py createsuperuser
(env)$ python manage.py runserver

Navigate to http://localhost:8000/api/docs to view the auto-generated interactive API documentation:

Here, you can see and interact with the registered endpoints.

Try adding a new article:

Try the remaining endpoints on your own.

Conclusion

In this article, we first looked at what Pydantic is and then we looked at the how to integrate it with a Django application using Pydantic-Django and Django Ninja.

Both packages are currently in active development. Just keep in mind that while both packages are immature, Pydantic-Django is still in an experimental phase (as of writing), so use it with caution.

You can grab the full code on GitHub:

TestDriven.io: Django and Pydantic

Pydantic

Pydantic and Django

Pydantic-Django

Basic Setup

Create Database Models

Install Pydantic-Django and Create the Schemas

Views and URLs

Sanity Check

Response Schema

Django Ninja

Basic Setup

Create Database Models

Install Django Ninja and Create the Schemas

Register API Endpoints

Sanity Check

Conclusion

Author: Shantun Parmar

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Pydantic

Pydantic and Django

Pydantic-Django

Basic Setup

Create Database Models

Install Pydantic-Django and Create the Schemas

Views and URLs

Sanity Check

Response Schema

Django Ninja

Basic Setup

Create Database Models

Install Django Ninja and Create the Schemas

Register API Endpoints

Sanity Check

Conclusion

Author: Shantun Parmar

Archives

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