DRF HTMX Renderer
is a (renderer)[https://www.django-rest-framework.org/api-guide/renderers/] for Django REST Framework.
In the vain of the browsable API or the admin renderer shipped with DRF, it allows for browsing the API directly in your browser and making it fully human-friendly.
To learn more about this project, you can watch this talk - Slides available here.
The aim of the project is to provide a customizable and extendable interface for data management that can be presented to the final user.
pip install drf-htmx-renderer
git clone git@github.com:nanuxbe/drf_htmx_renderer.git
cd drf_htmx_renderer
pip install -e .
pip install -r requirements-dev.txt
python manage.py runserver
Add these to Django settings.py
DRF_AUTO_METADATA_ADAPTER = 'htmx_renderer.adapters.HTMXEndpointAdapter'
DRF_AUTO_BASE_SERIALIZER = 'htmx_renderer.serializers.HTMXModelSerializer'
DRF_AUTO_BASE_VIEWSET = 'htmx_renderer.views.ModelViewSet'
DRF_AUTO_ROUTER_CLASS = 'htmx_renderer.routers.HTMXRendererRouter'
REST_FRAMEWORK = {
'DEFAULT_RENDERER_CLASSES': [
'htmx_renderer.renderers.TemplateHTMLRenderer',
'rest_framework.renderers.JSONRenderer',
],
'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.PageNumberPagination',
'PAGE_SIZE': 50,
}
Add htmx_renderer
in to INSTALLED_APPS
:
INSTALLED_APPS = [
...
# API
'rest_framework',
'drf_auto_endpoint',
'htmx_renderer',
# TEMPLATES
'bootstrap5',
'mathfilters',
]
Add this to the main urls.py
from drf_auto_endpoint.router import router
urlpatterns = [
...
path('api/v1/', include(router.urls)),
...
]
Inside <your_app>/endpoints.py
create an endpoint:
from drf_auto_endpoint.endpoints import Endpoint
from drf_auto_endpoint.router import register
from .models import MyModel
@register
class MyModelEndpoint(Endpoint):
model = MyModel
Restart Django's development serve and point it to http://localhost:8000/api/v1/
For further customization of your endpoint, refer to DRF-Schema-Adapter's documentation
This project uses standardized pyproject.toml
for the package. To build it simply invoke
python -m build
(note, you may need to install build
package first).
To install package in development mode you can use
pip install -e .