I've written a json-schema to validate the json that comes with the POST request to my API. No I need to deserialize this json.
When I started builing the nested serializers structure I noticed that the process is very similar. So my question is: can my already written json-schema help with deserilization process?
[UPDATE] The blog post I linked below is quite outdated. Instead, I've gone and implemented a modern example of using JSONSchema validation and DRF together which you can see on this answer here.
Before I stumbled across your question I found this article which demonstrates how (and potentially when) to use a JSONSchema with Django REST Framework.
Django Rest Framework integrates well with models to provide out of the box validation, and ModelSerializers allow futher fine-grained custom validation. However, if you’re not using a model as the resource of your endpoint then the code required for custom validation of complex data structure can get hairy.
If there is a heavily nested data structure then a serializer can be used that has a nested serializer, which also has a nested serializer, and so on – or a JSON schema and custom JSON parser can be employed.
Using a JSON schema generation tool also provides a quick win: generate the canonical “pattern” of valid JSON structure using data known to be of the correct structure. This post will go through doing this JSON schema validation using Django Rest Framework.
Related
I'm new to Python and I've seen a lot of tutorials which jump into the Django REST Framework when discussing how to create REST APIs without explaining why they need this library. I don't see the purpose of using the Django Rest Framework when I can just define API endpoints in views and return a simple HttpResponse to send data to a client.
What does the Django Rest Framework accomplish that I can't do simply using HttpResponse? Why is it worth learning?
I was going to use the library as it was included in the video, but it seemed more complex than I needed and I decided to try creating an API without Django REST Framework
def getStats(request):
print('--------STARTING Stats----------')
# Take some GET variable
version = request.GET.get('version')
# Get some data
with open('static/data.json') as f:
data = json.load(f)
# Filter the data
if version is not None:
data = list(filter(lambda x: x['version'] == version, data))
print("FILTERED DATA", len(data))
# Perform some operations on the data
data = calculateStats(data)
# Return an HTTP response
return HttpResponse(json.dumps(data))
This code seemed to work as needed and I get the feeling that I could make this view more robust if needed based on the demands of my application.
The DRF is a complete toolkit for building RESTful APIs in Django, including authentication, serialization, etc. You can do without it but, in the end of the day, the DRF will save you a lot of time.
It fits well with the Django architecture and it's also quite extensible, so you won't be locked-in to some obscure extension, as it happens sometimes.
Perhaps this old reddit post from Tom Christie (DRF's creator) can shed some more light:
Django REST framework isn't required, but it helps you get a lot of
things right that will be time consuming and error prone if you're
working from core Django.
Your example is very simple. When you have more complex logic with orm, permissions, serialization, and others. You will see the benefits of django restframework. You can build a crud very fast using viewsets that guarantee permissions, filters, with the REST API structure using POST, GET, PATCH, PUT, DELETE. You can list, create, update and delete. I recommend that you do the restframework tutorial https://www.django-rest-framework.org/tutorial/quickstart/ and it will become clear to you if is the right choice or not.
You can also use it for your example like this:
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
#api_view(['GET'])
def getStats(request):
print('--------STARTING Stats----------')
# Take some GET variable
version = request.GET.get('version')
# Get some data
with open('static/data.json') as f:
data = json.load(f)
# Filter the data
if version is not None:
data = list(filter(lambda x: x['version'] == version, data))
print("FILTERED DATA", len(data))
# Perform some operations on the data
data = calculateStats(data)
# Return an HTTP response
return Response(json.dumps(data, status=status.HTTP_200_OK)
Django REST framework offers a bunch of useful features over raw Django:
Serializers that convert between representations (dictionaries, JSON, etc.) and model instances.
Generic class-based views that let you build CRUD APIs with minimal code.
A flexible request parsing system that handles complex request datatypes, like JSON and multipart file uploads.
Customizable request authentication and permissions.
Throttling to control rate limiting.
Filtering and ordering of queryset results.
Response pagination.
API documentation with schema generation.
Content negotiation to support multiple response types (JSON, XML, etc.)
And much more!
In short, Django REST framework handles a lot of the boilerplate and complexity of building an API, allowing you to focus on your application's logic.
I'm writing API in DRF and had need to add nested routes.
Since drf-extensions are specified in official documentation I tend to use this package and it seemed to be working, but the documentation generated by Django Rest Framework doesn't include nested Viewset(route).
The documentation is generated using include_docs_urls from rest_framework.documentation
I would really like to have my nested endpoint described in generated documentation.
Is it possible?
djangorestframework==3.9.0
drf-extensions==0.5.0
Python2.7
Sorry for my poor language usage.
I am using drf for my web api. It has special renderers. I can use django views, or drf pure APIView. I can use TemplateHTMLRenderer which is good but all of them make drf not necessary. Because i want to use drf browsable api features. Using post, put, delete forms. Using json and html in api, less and clean code.
But the problem is, i cant customize browsable api, i cant send extra content or context. For example; i am using serializer for my Post model but also i need another query serializer too. Which they are not related actualy.
Too much talk. My question is; i want to customize browsable api with his features and with more extra data. But i could not see any documant for it.
Thanks.
This methods are sending data with content in response which is in json data.
https://github.com/encode/django-rest-framework/blob/master/rest_framework/renderers.py#L686-L722
like here. I can use content or view, or forms in my api.html and I want to add more data here. Like;
'mydata': Posts.objects.all(),
'mydata2': Blogs.objects.all(),
and after that, i want to use them in my api.html(or in custom template).
I don't know is this a right platform to ask this question or not. I recently came across Django rest framework. I am using django for one of my projects.I want to use DRF as an api client for my project. I came across this term serializing the model instances and serializers. I went through DRF Tutorial , but I still have no idea of how it actually works.My questions are :
1.Why are serializers used? What purpose they serve?
2.What more can be done using serializers?
3.How do serializers work?
There may be lots of references on this present in the internet but I want a simple and easy-to-understand answer to this. Thanks!!
1.Why are serializers used? What purpose they serve?
In a very general way:
Imagine you want to invite your friend for a coffee. To inform your friend, you text "what: coffee, time: 12h, where: The fancy coffee bar on the corner". This text is your serialization of your idea.
The DRF does this for your Django models.
Imagine you have a JS client that doesn't (want to) know about your DB or Django models. You serialize your Django objects into JSON to have that data available in a JS compatible way:
data = {
"address": {
"street": "Fancy Street 1b"
}
};
DRF offers an easy way to translate Django model instances into JSON (or other formats). And that is what serializers do. They also offer to deserialize what your JS frontend sends back to your server.
2.What more can be done using serializers?
You can add more fields that are computed at serialization time. For example, instead of adding simple IDs for related objects you can also serialize the related objects and add them nested into the JSON (or XML or whatever format).
You can also add fields that you only need on the frontend side for some view, like things related to paging etc.
3.How do serializers work?
For python, the simplest serializer from python to JSON would be one that takes a python dictionary and simply creates string keys from the python keys, translates Django boolean into true and false strings, python None into null etc.
For more complex translations, you might want to add your own logic. E.g. like resolving related object references on Django models. Or formatting date objects into ISO standard strings (with timezone), localizing (decimal) numbers, localizing texts in general etc.
I want to develop a python django project for online Examination.
I want to know how to save the responses coming from a webpages.
what are the best ways for saving the responses in python django framework.
Thanks in Advance.
The best way to save the response would be by using Django's built-in models. Generally, each model maps to a single table in a database. So you'd be storing the data in a database, using Django's models.
Check out the documentation on models here:
https://docs.djangoproject.com/en/1.7/topics/db/models/
Also, I'd suggest following Django's excellent tutorial. Most of these questions will be answered once you get a basic understanding of how the Django framework works, for which the tutorial is an excellent start. You can find it here:
https://docs.djangoproject.com/en/1.7/intro/tutorial01/