Skip to main content

Django speaking WFS 2.0 (exposing GeoDjango model fields)

Project description

Documentation Actions PyPI MPL License Coverage

django-gisserver

Django speaking WFS 2.0 to expose geo data.

Features

  • 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.

Documentation

For more details, see: https://django-gisserver.readthedocs.io/

Quickstart

Install the module in your project:

pip install django-gisserver

Add it to the INSTALLED_APPS:

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:

By adding &OUTPUTFORMAT=geojson or &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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

django-gisserver-1.4.0.tar.gz (106.8 kB view details)

Uploaded Source

Built Distribution

django_gisserver-1.4.0-py3-none-any.whl (124.0 kB view details)

Uploaded Python 3

File details

Details for the file django-gisserver-1.4.0.tar.gz.

File metadata

  • Download URL: django-gisserver-1.4.0.tar.gz
  • Upload date:
  • Size: 106.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.7

File hashes

Hashes for django-gisserver-1.4.0.tar.gz
Algorithm Hash digest
SHA256 f437c3aff5c6c6d33f2fc28d8e3e5e3428416e9783f3fd4620e0b27271475c71
MD5 1894c97324a1cc03391a0423c16bcfe7
BLAKE2b-256 245a20f05429c3b432577156ae55aab4044ef37a440a9c9b0122eab5120221de

See more details on using hashes here.

File details

Details for the file django_gisserver-1.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for django_gisserver-1.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8f765eb39277540c43c75c264272f34594cef387c2a95efad915837a2c3a26c8
MD5 042729dc303c71a3aa27cc9ec4617f9a
BLAKE2b-256 604a9246f1e9c64f45332c75b0f66752adffc9d742528f6afb747f80be19f670

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page