djangorestframework-gis 0.4

GeoModelSerializer

Provides a GeoModelSerializer, which is a sublass of DRF ModelSerializer. This serializer updates the field_mapping dictionary to include field mapping of GeoDjango geometry fields to the above GeometryField.

For example, the following model:

class Location(models.Model):
    """
    A model which holds information about a particular location
    """
    address = models.Charfield(max_length=255)
    city = models.CharField(max_length=100)
    state = models.CharField(max_length=100)
    point = models.PointField()

By default, the DRF ModelSerializer will output:

{
    "id": 1,
    "address": "742 Evergreen Terrace",
    "city":  "Springfield",
    "state": "Oregon",
    "point": "POINT(-123.0208 44.0464)"
}

In contrast, the GeoModelSerizalizer will output:

{
    "id": 1,
    "address": "742 Evergreen Terrace",
    "city":  "Springfield",
    "state": "Oregon",
    "point": {
        "type": "Point",
        "coordinates": [-123.0208, 44.0464],
    }
}

GeoFeatureModelSerializer

GeoFeatureModelSerializer is a subclass of GeoModelSerializer which will output data in a format that is GeoJSON compatible. Using the above example, the GeoFeatureModelSerializer will output:

 {
    "id": 1,
    "type": "Feature",
    "geometry": {
        "point": {
            "type": "Point",
            "coordinates": [-123.0208, 44.0464],
        },
    },
    "properties": {
        "address": "742 Evergreen Terrace",
        "city":  "Springfield",
        "state": "Oregon"
    }
}

If you are serializing an object list, GeoFeatureModelSerializer will create a FeatureCollection:

(NOTE: This currenty does not work with the default pagination serializer)

{
    "type": "FeatureCollection",
    "features": [
    {
        "id": 1
        "type": "Feature",
        "geometry": {
            "point": {
                "type": "Point",
                "coordinates": [-123.0208, 44.0464],
            }
        },
        "properties": {
            "address": "742 Evergreen Terrace",
            "city":  "Springfield",
            "state": "Oregon",
        }
    }
    {
        "id": 2,
        "type": "Feature",
        "geometry": {
            "point": {
                "type": "Point",
                "coordinates": [-123.0208, 44.0489],
            },
        },
        "properties": {
            "address": "744 Evergreen Terrace",
            "city":  "Springfield",
            "state": "Oregon"
        }
    }
}

GeoFeatureModelSerializer requires you to define a ``geo_field`` to be serialized as the “geometry”. For example:

class LocationSerializer(GeoFeatureModelSerializer):
    """ A class to serialize locations as GeoJSON compatible data """

    class Meta:
        model = Location
        geo_field = "point"

        # you can also explicitly declare which fields you want to include
        # as with a ModelSerializer.
        fields = ('id', 'address', 'city', 'state')

The primary key of the model (usually the “id” attribute) is automatically put outside the “properties” object (before “type”) unless ``id_field`` is set to False:

class LocationSerializer(GeoFeatureModelSerializer):

    class Meta:
        model = Location
        geo_field = "point"
        id_field = False
        fields = ('id', 'address', 'city', 'state')

You could also set the ``id_field`` to some other unique field in your model, like “slug”:

class LocationSerializer(GeoFeatureModelSerializer):

    class Meta:
        model = Location
        geo_field = "point"
        id_field = "slug"
        fields = ('slug', 'address', 'city', 'state')

GeometryFilter

from rest_framework_gis.filterset import GeoFilterSet

class RegionFilter(GeoFilterSet):
    slug = filters.CharFilter(name='slug', lookup_type='istartswith')
    contains_geom = filters.GeometryFilter(name='geom', lookup_type='contains')

    class Meta:
        model = Region

We can then filter in the URL, using GeoJSON, and we will perform a __contains geometry lookup, e.g. /region/?contains_geom={ "type": "Point", "coordinates": [ -123.26436996459961, 44.564178042345375 ] }.

GeoFilterSet

The GeoFilterSet provides a django_filter compatible FilterSet that will automatically create GeometryFilters for GeometryFields.

InBBOXFilter

Provides a InBBOXFilter, which is a subclass of DRF BaseFilterBackend. Filters a queryset to only those instances within a certain bounding box.

views.py:

from rest_framework_gis.filters import InBBOXFilter

class LocationList(ListAPIView):

    queryset = models.Location.objects.all()
    serializer_class = serializers.LocationSerializer
    bbox_filter_field = 'point'
    filter_backends = (InBBOXFilter, )
    bbox_filter_include_overlapping = True # Optional

We can then filter in the URL, using Bounding Box format (min Lon, min Lat, max Lon, max Lat), and we can search for instances within the bounding box, e.g.: /location/?in_bbox=-90,29,-89,35.

By default, InBBOXFilter will only return those instances entirely within the stated bounding box. To include those instances which overlap the bounding box, include bbox_filter_include_overlapping = True in your view.

Note that if you are using other filters, you’ll want to include your other filter backend in your view. For example:

filter_backends = (InBBOXFilter, DjangoFilterBackend,)