Django speaking WFS 2.0 to expose geo data.
- WFS 2.0 Basic implementation.
- GML 3.2 output.
- Standard and spatial filtering (FES 2.0)
- GeoJSON and CSV export formats.
- Extensible view/operations.
- Uses GeoDjango queries for filtering.
- Streaming responses for large datasets.
For more details, see: https://django-gisserver.readthedocs.io/
Install the module in your project:
pip install django-gisserver
Add it to the
INSTALLED_APPS = [ ... "gisserver", ]
Create a model that exposes a GeoDjango field:
from django.contrib.gis.db.models import PointField from django.db import models class Restaurant(models.Model): name = models.CharField(max_length=200) location = PointField(null=True) def __str__(self): return self.name
Write a view that exposes this model as a WFS feature:
from gisserver.features import FeatureType, ServiceDescription from gisserver.geometries import CRS, WGS84 from gisserver.views import WFSView from .models import Restaurant RD_NEW = CRS.from_srid(28992) class PlacesWFSView(WFSView): """An simple view that uses the WFSView against our test model.""" xml_namespace = "http://example.org/gisserver" # The service metadata service_description = ServiceDescription( title="Places", abstract="Unittesting", keywords=["django-gisserver"], provider_name="Django", provider_site="https://www.example.com/", contact_person="django-gisserver", ) # Each Django model is listed here as a feature. feature_types = [ FeatureType( Restaurant.objects.all(), fields="__all__", other_crs=[RD_NEW] ), ]
Use that view in the URLConf:
from django.urls import path from . import views urlpatterns = [ path("/wfs/places/", views.PlacesWFSView.as_view()), ]
You can now use http://localhost:8000/wfs/places/ in your GIS application. It will perform requests such as:
&OUTPUTFORMAT=csv to the
GetFeature request, the GeoJSON and CSV outputs are returned.
The CSV output has an unlimited page size, as it's quite performant.
Why this code is shared
The "datapunt" team of the Municipality of Amsterdam develops software for the municipality. Much of this software is then published as Open Source so that other municipalities, organizations and citizens can use the software as a basis and inspiration to develop similar software themselves. The Municipality of Amsterdam considers it important that software developed with public money is also publicly available.
This package is initially developed by the City of Amsterdam, but the tools and concepts created in this project can be used in any city.