Metadata-Version: 2.1
Name: django-gisserver
Version: 1.1.3
Summary: Django speaking WFS 2.0 (exposing GeoDjango model fields)
Home-page: https://github.com/amsterdam/django-gisserver
Author: Diederik van der Boor
Author-email: opensource@edoburu.nl
License: Mozilla Public License 2.0
Description: [![Documentation](https://readthedocs.org/projects/django-gisserver/badge/?version=latest)](https://django-gisserver.readthedocs.io/en/latest/?badge=latest)
        [![Travis](https://img.shields.io/travis/amsterdam/django-gisserver.svg)](http://travis-ci.org/amsterdam/django-gisserver)
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        [![MPL License](https://img.shields.io/badge/license-MPL%202.0-blue.svg)](https://pypi.python.org/pypi/django-gisserver)
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        # 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:
        
        ```bash
        pip install django-gisserver
        ```
        
        Add it to the ``INSTALLED_APPS``:
        
        ```python
        INSTALLED_APPS = [
            ...
            "gisserver",
        ]
        ```
        
        Create a model that exposes a GeoDjango field:
        
        ```python
        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:
        
        ```python
        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:
        
        ```python
        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:
        
        * <http://localhost:8000/wfs/places/?SERVICE=WFS&REQUEST=GetCapabilities&ACCEPTVERSIONS=2.0.0,1.1.0,1.0.0>
        * <http://localhost:8000/wfs/places/?SERVICE=WFS&REQUEST=DescribeFeatureType&VERSION=2.0.0&TYPENAMES=restaurant>
        * <http://localhost:8000/wfs/places/?SERVICE=WFS&REQUEST=GetFeature&VERSION=2.0.0&TYPENAMES=restaurant&STARTINDEX=0&COUNT=1000&SRSNAME=urn:ogc:def:crs:EPSG::28992>
        
        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.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Framework :: Django
Classifier: Framework :: Django :: 2.2
Classifier: Framework :: Django :: 3.0
Classifier: Framework :: Django :: 3.1
Classifier: Framework :: Django :: 3.2
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires: Django (>=2.0)
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
