Django Rest Framework Client

A python library for interacting with any Django web server based on django-rest-framework

Package is based on https://github.com/samgiles/slumber, but enhanced to support tokens and other features.

Features

• Support for tokens. Both

  • django-rest-framework's own tokens: rest_framework.authentication.TokenAuthentication
  • JWT tokens: rest_framework_jwt.authentication.JSONWebTokenAuthentication

• Support for query arguments (e.g. ?name1=val1&name2=val2)

• Support for custom methods (e.g. ``/api/v1/object/custom/`)

Requirements

django-rest-framework-client requires:

• Python 3.10+
• requests
• httpx
• respx

Installation

# Using pip
python -m pip install django-rest-framework-client

# Using uv
uv add django-rest-framework-client

Usage Guide

Example

import pprint
from drf_client.connection import Api as RestApi

options = {
    'DOMAIN': 'http://127.0.0.1:8000',
    'API_PREFIX': 'api/v1',
    'TOKEN_TYPE': 'jwt',
    'TOKEN_FORMAT': 'JWT {token}',
    'USERNAME_KEY': 'username',
    'LOGIN': 'auth/login/',
    'LOGOUT': 'auth/logout/',
    'USE_DASHES': False,    # Set to True to tell API to replace underscore ("_") with dashes ("-")
    'SESSION_TRIES': 3,     # Enable retry
    'SESSION_TIMEOUT': None,   # No timeout
    'SESSION_VERIFY': False,   # Do not verify SSL
}

c = RestApi(options)

ok = c.login(username="username", password="password")
if ok:

    # GET some data
    my_object = c.myresourcename.get()
    for obj in my_object['results']:
        pprint.pprint(obj)

    payload = {
        'data1': 'val1',
        'data2': 'val2',
    }

    resp = c.myresourcename.post(data=payload)

    # If the URL includes "-", add under parenthesis:
    # GET: /api/v1/someresource/some-path/
    my_object = c.someresource('some-path').get()

Example using Tokens

from drf_client.helpers.base_main import BaseMain

class MyClass(BaseMain):

    options = {
        'DOMAIN': None,
        'API_PREFIX': 'api/v1',
        'TOKEN_TYPE': 'bearer',
        'TOKEN_FORMAT': 'Bearer {token}',
        'USERNAME_KEY': 'username',
        'LOGIN': 'auth/login/',
        'LOGOUT': 'auth/logout/',
        'USE_DASHES': False,
        "SESSION_TRIES": 3,
        'SESSION_TIMEOUT': None,
        'SESSION_VERIFY': False,
    }

DRF_CLIENT_AUTH_TOKEN=1fe171f65917db0072abc6880196989dd2a20025 \
    python -m my_script.MyClass --server https://mysite.com --use-token t

Django Setup

Client assumes by default that all urls should end with a slash (tested with the default router: routers.DefaultRouter())

Apart from the regular Django and Rest Framework setup, this package currently relies on the following custom login and logout API functions:

class AccountSerializer(serializers.ModelSerializer):
    class Meta:
        model = User
        fields = ('id', 'email', 'username')


class APILogoutViewSet(APIView):
    permission_classes = (permissions.IsAuthenticated,)

    def post(self, request, format=None):
        logout(request)
        return Response({}, status=status.HTTP_204_NO_CONTENT)


urlpatterns = [
    url(r'^auth/logout/$', APILogoutViewSet.as_view(), name='api-logout'),
]

Helpers

BaseMain Helper

This class helps write a script with a flexible template that helps avoid having to duplicate boilerplate code from script to script.

The class assumes that most scripts include the following basic flow:

1. Parse arguments
2. Setup LOG configuration
3. Login
4. Do something after logging in

The opinionated class will execute the basic main flow:

   # Initialize arguments and LOG in the init function
   # Add additional arguments by implementing self.add_extra_args()
   self.domain = self.get_domain()
   self.api = Api(self.domain)
   self.before_login()
   ok = self.login()
   if ok:
       self.after_login()

Any of the above functions can be overwritten by deriving from this class.

Here is a sample script:

from drf_client.helpers.base_main import BaseMain
from drf_client.helpers.base_facade import BaseFacade

class MyScript(BaseMain):

    def add_extra_args(self):
        # Add extra positional argument (as example)
        self.parser.add_argument('foo', metavar='foo', type=str, help='RTFM')

    def before_login(self):
        logger.info('-----------')

    def after_login(self):
        # Main function to OVERWRITE and do real work
        resp = self.api.foo.bar.get()
        # You can also access the API from the global Facade
        resp = BaseFacade.api.foo.bar.get()


if __name__ == '__main__':

    work = MyScript()
    work.main()

If you wish to implement coroutines to run multiple tasks in parallel, you can use the asyncio library.

import asyncio
from drf_client.helpers.base_main import BaseMain
from drf_client.helpers.base_facade import BaseFacade

class MyScript(BaseMain):

    def add_extra_args(self):
        # Add extra positional argument (as example)
        self.parser.add_argument('foo', metavar='foo', type=str, help='RTFM')

    def before_login(self):
        logger.info('-----------')

    async def process(self):
        """Main async test"""
        # foo_bar and foo_baz are coroutines
        foo_bar = await self.api.foo.bar.async_get()
        foo_baz = await self.api.foo.baz.async_get()


    def after_login(self):
        # Main function to OVERWRITE and do real work
        resp = asyncio.run(self.process())


if __name__ == '__main__':

    work = MyScript()
    work.main()

Given the above script, you will run it with

python myscript.py -u <USERNAME> --foo bar

Development

django-rest-framework-client uses uv for dependency management and testing. Make sure to install uv and run uv sync to install dependencies.

To test, run coverage analysis, and lint:

uv sync

uv run pytest
uv run ruff check
uv run ty check

# Install pre-commit hooks
pre-commit install
pre-commit install-hooks

CI Deployment

1. Update pyproject.toml with new version
2. Update CHANGELOG.md with description of new version
3. Create a new tag with same version

   git tag v0.4.1 -m "v0.4.1"
   git push --tags
   

4. Create new release using GitHub Web Site. Github action will run automatically to deploy to PyPi.