[Python 인터넷] Quickstart - Django REST framework

Quickstart

We're going to create a simple API to allow admin users to view and edit the users and groups in the system.

Project setup

Create a new Django project named tutorial, then start a new app called quickstart.

# Create the project directory
mkdir tutorial
cd tutorial

# Create a virtual environment to isolate our package dependencies locally
python3 -m venv env
source env/bin/activate  # On Windows use `env\Scripts\activate`

# Install Django and Django REST framework into the virtual environment
pip install django
pip install djangorestframework

# Set up a new project with a single application
django-admin startproject tutorial .  # Note the trailing '.' character
cd tutorial
django-admin startapp quickstart
cd ..

The project layout should look like:

$ pwd
<some path>/tutorial
$ find .
.
./manage.py
./tutorial
./tutorial/__init__.py
./tutorial/quickstart
./tutorial/quickstart/__init__.py
./tutorial/quickstart/admin.py
./tutorial/quickstart/apps.py
./tutorial/quickstart/migrations
./tutorial/quickstart/migrations/__init__.py
./tutorial/quickstart/models.py
./tutorial/quickstart/tests.py
./tutorial/quickstart/views.py
./tutorial/asgi.py
./tutorial/settings.py
./tutorial/urls.py
./tutorial/wsgi.py

It may look unusual that the application has been created within the project directory. Using the project's namespace avoids name clashes with external modules (a topic that goes outside the scope of the quickstart).

Now sync your database for the first time:

python manage.py migrate

We'll also create an initial user named admin with a password of password123. We'll authenticate as that user later in our example.

python manage.py createsuperuser --email admin@example.com --username admin

Once you've set up a database and the initial user is created and ready to go, open up the app's directory and we'll get coding...

Serializers

First up we're going to define some serializers. Let's create a new module named tutorial/quickstart/serializers.py that we'll use for our data representations.

from django.contrib.auth.models import User, Group
from rest_framework import serializers


class UserSerializer(serializers.HyperlinkedModelSerializer):
    class Meta:
        model = User
        fields = ['url', 'username', 'email', 'groups']


class GroupSerializer(serializers.HyperlinkedModelSerializer):
    class Meta:
        model = Group
        fields = ['url', 'name']

Notice that we're using hyperlinked relations in this case with HyperlinkedModelSerializer. You can also use primary key and various other relationships, but hyperlinking is good RESTful design.

Views

Right, we'd better write some views then. Open tutorial/quickstart/views.py and get typing.

from django.contrib.auth.models import User, Group
from rest_framework import viewsets
from rest_framework import permissions
from tutorial.quickstart.serializers import UserSerializer, GroupSerializer


class UserViewSet(viewsets.ModelViewSet):
    """
    API endpoint that allows users to be viewed or edited.
    """
    queryset = User.objects.all().order_by('-date_joined')
    serializer_class = UserSerializer
    permission_classes = [permissions.IsAuthenticated]


class GroupViewSet(viewsets.ModelViewSet):
    """
    API endpoint that allows groups to be viewed or edited.
    """
    queryset = Group.objects.all()
    serializer_class = GroupSerializer
    permission_classes = [permissions.IsAuthenticated]

Rather than write multiple views we're grouping together all the common behavior into classes called ViewSets.

We can easily break these down into individual views if we need to, but using viewsets keeps the view logic nicely organized as well as being very concise.

URLs

Okay, now let's wire up the API URLs. On to tutorial/urls.py...

from django.urls import include, path
from rest_framework import routers
from tutorial.quickstart import views

router = routers.DefaultRouter()
router.register(r'users', views.UserViewSet)
router.register(r'groups', views.GroupViewSet)

# Wire up our API using automatic URL routing.
# Additionally, we include login URLs for the browsable API.
urlpatterns = [
    path('', include(router.urls)),
    path('api-auth/', include('rest_framework.urls', namespace='rest_framework'))
]

Because we're using viewsets instead of views, we can automatically generate the URL conf for our API, by simply registering the viewsets with a router class.

Again, if we need more control over the API URLs we can simply drop down to using regular class-based views, and writing the URL conf explicitly.

경축! 아무것도 안하여 에스천사게임즈가 새로운 모습으로 재오픈 하였습니다.
어린이용이며, 설치가 필요없는 브라우저 게임입니다.
https://s1004games.com

Finally, we're including default login and logout views for use with the browsable API. That's optional, but useful if your API requires authentication and you want to use the browsable API.

Pagination

Pagination allows you to control how many objects per page are returned. To enable it add the following lines to tutorial/settings.py

REST_FRAMEWORK = {
    'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.PageNumberPagination',
    'PAGE_SIZE': 10
}

Settings

Add 'rest_framework' to INSTALLED_APPS. The settings module will be in tutorial/settings.py

INSTALLED_APPS = [
    ...
    'rest_framework',
]

Okay, we're done.


Testing our API

We're now ready to test the API we've built. Let's fire up the server from the command line.

python manage.py runserver

We can now access our API, both from the command-line, using tools like curl...

bash: curl -H 'Accept: application/json; indent=4' -u admin:password123 http://127.0.0.1:8000/users/
{
    "count": 2,
    "next": null,
    "previous": null,
    "results": [
        {
            "email": "admin@example.com",
            "groups": [],
            "url": "http://127.0.0.1:8000/users/1/",
            "username": "admin"
        },
    ]
}

Or using the httpie, command line tool...

bash: http -a admin:password123 http://127.0.0.1:8000/users/

HTTP/1.1 200 OK
...
{
    "count": 2,
    "next": null,
    "previous": null,
    "results": [
        {
            "email": "admin@example.com",
            "groups": [],
            "url": "http://localhost:8000/users/1/",
            "username": "paul"
        },
    ]
}

Or directly through the browser, by going to the URL http://127.0.0.1:8000/users/...

Quick start image

If you're working through the browser, make sure to login using the control in the top right corner.

Great, that was easy!

If you want to get a more in depth understanding of how REST framework fits together head on over to the tutorial, or start browsing the API guide.

[출처] https://www.django-rest-framework.org/tutorial/quickstart/

 

 

본 웹사이트는 광고를 포함하고 있습니다.
광고 클릭에서 발생하는 수익금은 모두 웹사이트 서버의 유지 및 관리, 그리고 기술 콘텐츠 향상을 위해 쓰여집니다.
번호 제목 글쓴이 날짜 조회 수
57 [python 인공지능] Deploy ML models with FastAPI, Docker, and Heroku | Tutorial 졸리운_곰 2025.07.08 467
56 [python 인공지능] [VSCode] VSCode에서 ipynb 파일을 HTML(PDF 등..)로 졸리운_곰 2025.05.27 289
55 [Python 인공지능] [파이썬을 이용한 한글 NLP] 03. 간단한 키워드 추출기 졸리운_곰 2025.01.29 458
54 [Python 인공지능] [ 한글 키워드 시각화 ] 파이썬 python 텍스트 마이닝 한글 ( 워드 클라우드 WordCloud, squrify 트리맵으로 빅데이터 마스터) file 졸리운_곰 2025.01.29 398
53 [Python 인공지능] 기계 학습의 A to Z : IPython notebook과 scikit-learn을 활용한 기계 학습 file 졸리운_곰 2024.08.10 523
52 [python] 인공지능 python : 한글 문서 자동 요약 - lexrank 졸리운_곰 2023.07.06 404
51 [python] 인공지능 katiehouse / django-scikit-learn-tutorial file 졸리운_곰 2023.06.03 664
50 [python] [Anaconda]가상환경 설치,삭제 file 졸리운_곰 2022.12.03 405
49 [python][머신러닝] Scikit-learn Tutorial: Machine Learning in Python file 졸리운_곰 2022.11.29 497
48 [python] 파이썬(sklearn) 사이킷런(sklearn) 기초 졸리운_곰 2022.08.20 321
47 [python] scikit-learn이란 file 졸리운_곰 2022.08.20 455
46 [anaconde3][python] Create environment for tensorflow 1.4 in Anaconda 3 졸리운_곰 2022.07.02 563
45 [python][인공지능] [TensorFlow] Anaconda 가상환경 이용하여 TensorFlow GPU 설치 졸리운_곰 2022.01.20 438
44 [Python 인공지능] TextRank 를 이용한 키워드 추출과 핵심 문장 추출 (구현과 실험) file 졸리운_곰 2021.11.22 597
43 [python][인공지능] FLASK를 이용하여 PYTHON에서 PYTORCH를 REST API로 배포하기 졸리운_곰 2021.03.20 364
42 [python 파이썬] Creating REST API for TensorFlow models file 졸리운_곰 2021.02.01 488
41 [python 파이썬 인공지능] Keras 모델을 REST API로 배포해보기 file 졸리운_곰 2021.02.01 411
40 [파이썬 머신러닝] Scikit-learn 기초 졸리운_곰 2020.01.31 579
39 파이썬으로 간단한 뉴럴 네트워크 만들기 How to Create a Simple Neural Network in Python file 졸리운_곰 2020.01.29 22636
38 Keras를 활용한 주식 가격 예측 file 졸리운_곰 2019.02.25 983
대표 김성준 주소 : 경기 용인 분당수지 U타워 등록번호 : 142-07-27414
통신판매업 신고 : 제2012-용인수지-0185호 출판업 신고 : 수지구청 제 123호 개인정보보호최고책임자 : 김성준 sjkim70@stechstar.com
대표전화 : 010-4589-2193 [fax] 02-6280-1294 COPYRIGHT(C) stechstar.com ALL RIGHTS RESERVED