Python django.contrib.gis.db.models.GeometryField() Examples

def resolve_field(meta):
        type = meta['type']
        rest = merge(filter_dict(
            # Don't allow default='SEQUENCE'
            lambda key, value: not (key=='default' and value=='SEQUENCE'),
            # Ignore these keys
            remove_keys(meta, ['type', 'auto_populate', 'visible', 'geometry_type', 'nullable'])
        ), dict(null=True))
        if type=='string':
            return models.CharField(**rest)
        elif type=='integer':
            return models.IntegerField(**rest)
        elif type=='float':
            return models.FloatField(**rest)
        elif type=='biginteger':
            return models.BigIntegerField(**rest)
        elif type=='geometry':
            return models.GeometryField(geography=False, **rest)
        elif type=='date':
            return models.DateField(**rest)
        elif type=='datetime':
            return models.DateTimeField(**rest) 

def test_geometry_value_annotation_different_srid(self):
        p = Point(1, 1, srid=32140)
        point = City.objects.annotate(p=Value(p, GeometryField(srid=4326))).first().p
        self.assertTrue(point.equals_exact(p.transform(4326, clone=True), 10 ** -5))
        self.assertEqual(point.srid, 4326) 

def formfield_for_dbfield(self, db_field, **kwargs):
        """
        Overloaded from ModelAdmin so that an OpenLayersWidget is used
        for viewing/editing 2D GeometryFields (OpenLayers 2 does not support
        3D editing).
        """
        if isinstance(db_field, models.GeometryField) and db_field.dim < 3:
            kwargs.pop('request', None)
            # Setting the widget with the newly defined widget.
            kwargs['widget'] = self.get_map_widget(db_field)
            return db_field.formfield(**kwargs)
        else:
            return super(GeoModelAdmin, self).formfield_for_dbfield(db_field, **kwargs) 

def test_geometry_value_annotation(self):
        p = Point(1, 1, srid=4326)
        point = City.objects.annotate(p=Value(p, GeometryField(srid=4326))).first().p
        self.assertEqual(point, p) 

def test_geography_value(self):
        p = Polygon(((1, 1), (1, 2), (2, 2), (2, 1), (1, 1)))
        area = City.objects.annotate(a=functions.Area(Value(p, GeometryField(srid=4326, geography=True)))).first().a
        self.assertAlmostEqual(area.sq_km, 12305.1, 0) 

def test_geometry_value_annotation_different_srid(self):
        p = Point(1, 1, srid=32140)
        point = City.objects.annotate(p=Value(p, GeometryField(srid=4326))).first().p
        self.assertTrue(point.equals_exact(p.transform(4326, clone=True), 10 ** -5))
        self.assertEqual(point.srid, 4326) 

def test_geometry_value_annotation(self):
        p = Point(1, 1, srid=4326)
        point = City.objects.annotate(p=Value(p, GeometryField(srid=4326))).first().p
        self.assertEqual(point, p) 

def make_multi(self, geom_type, model_field):
        """
        Given the OGRGeomType for a geometry and its associated GeometryField,
        determine whether the geometry should be turned into a GeometryCollection.
        """
        return (geom_type.num in self.MULTI_TYPES and
                model_field.__class__.__name__ == 'Multi%s' % geom_type.django) 

def geometry_field(self):
        "Returns the GeometryField instance associated with the geographic column."
        # Use `get_field()` on the model's options so that we
        # get the correct field instance if there's model inheritance.
        opts = self.model._meta
        return opts.get_field(self.geom_field) 

def feature_kwargs(self, feat):
        """
        Given an OGR Feature, this will return a dictionary of keyword arguments
        for constructing the mapped model.
        """
        # The keyword arguments for model construction.
        kwargs = {}

        # Incrementing through each model field and OGR field in the
        # dictionary mapping.
        for field_name, ogr_name in self.mapping.items():
            model_field = self.fields[field_name]

            if isinstance(model_field, GeometryField):
                # Verify OGR geometry.
                try:
                    val = self.verify_geom(feat.geom, model_field)
                except GDALException:
                    raise LayerMapError('Could not retrieve geometry from feature.')
            elif isinstance(model_field, models.base.ModelBase):
                # The related _model_, not a field was passed in -- indicating
                # another mapping for the related Model.
                val = self.verify_fk(feat, model_field, ogr_name)
            else:
                # Otherwise, verify OGR Field type.
                val = self.verify_ogr_field(feat[ogr_name], model_field)

            # Setting the keyword arguments for the field name with the
            # value obtained above.
            kwargs[field_name] = val

        return kwargs 

def formfield_for_dbfield(self, db_field, **kwargs):
        """
        Overloaded from ModelAdmin so that an OpenLayersWidget is used
        for viewing/editing 2D GeometryFields (OpenLayers 2 does not support
        3D editing).
        """
        if isinstance(db_field, models.GeometryField) and db_field.dim < 3:
            kwargs.pop('request', None)
            # Setting the widget with the newly defined widget.
            kwargs['widget'] = self.get_map_widget(db_field)
            return db_field.formfield(**kwargs)
        else:
            return super(GeoModelAdmin, self).formfield_for_dbfield(db_field, **kwargs) 

def geography_type(cls):
        return None

    # todo: we don't need to use the layermapping importer for peer tables, so let's only put this on the base tables
    # Because of the layer importer we need this even though the geometry is in the Geography instance
    #wkb_geometry = models.GeometryField() 

def geo_field(queryset):
    """Returns the GeometryField for a django or spillway GeoQuerySet."""
    for field in queryset.model._meta.fields:
        if isinstance(field, models.GeometryField):
            return field
    raise exceptions.FieldDoesNotExist('No GeometryField found') 

def get_fields(self):
        """Returns a fields dict for this serializer with a 'geometry' field
        added.
        """
        fields = super(GeoModelSerializer, self).get_fields()
        # Set the geometry field name when it's undeclared.
        if not self.Meta.geom_field:
            for name, field in fields.items():
                if isinstance(field, GeometryField):
                    self.Meta.geom_field = name
                    break
        return fields 

def make_multi(self, geom_type, model_field):
        """
        Given the OGRGeomType for a geometry and its associated GeometryField,
        determine whether the geometry should be turned into a GeometryCollection.
        """
        return (geom_type.num in self.MULTI_TYPES and
                model_field.__class__.__name__ == 'Multi%s' % geom_type.django) 

def geometry_field(self):
        "Return the GeometryField instance associated with the geographic column."
        # Use `get_field()` on the model's options so that we
        # get the correct field instance if there's model inheritance.
        opts = self.model._meta
        return opts.get_field(self.geom_field) 

def feature_kwargs(self, feat):
        """
        Given an OGR Feature, return a dictionary of keyword arguments for
        constructing the mapped model.
        """
        # The keyword arguments for model construction.
        kwargs = {}

        # Incrementing through each model field and OGR field in the
        # dictionary mapping.
        for field_name, ogr_name in self.mapping.items():
            model_field = self.fields[field_name]

            if isinstance(model_field, GeometryField):
                # Verify OGR geometry.
                try:
                    val = self.verify_geom(feat.geom, model_field)
                except GDALException:
                    raise LayerMapError('Could not retrieve geometry from feature.')
            elif isinstance(model_field, models.base.ModelBase):
                # The related _model_, not a field was passed in -- indicating
                # another mapping for the related Model.
                val = self.verify_fk(feat, model_field, ogr_name)
            else:
                # Otherwise, verify OGR Field type.
                val = self.verify_ogr_field(feat[ogr_name], model_field)

            # Setting the keyword arguments for the field name with the
            # value obtained above.
            kwargs[field_name] = val

        return kwargs 

def formfield_for_dbfield(self, db_field, request, **kwargs):
        """
        Overloaded from ModelAdmin so that an OpenLayersWidget is used
        for viewing/editing 2D GeometryFields (OpenLayers 2 does not support
        3D editing).
        """
        if isinstance(db_field, models.GeometryField) and db_field.dim < 3:
            # Setting the widget with the newly defined widget.
            kwargs['widget'] = self.get_map_widget(db_field)
            return db_field.formfield(**kwargs)
        else:
            return super().formfield_for_dbfield(db_field, request, **kwargs) 

def make_multi(self, geom_type, model_field):
        """
        Given the OGRGeomType for a geometry and its associated GeometryField,
        determine whether the geometry should be turned into a GeometryCollection.
        """
        return (geom_type.num in self.MULTI_TYPES and
                model_field.__class__.__name__ == 'Multi%s' % geom_type.django) 

def geometry_field(self):
        "Returns the GeometryField instance associated with the geographic column."
        # Use `get_field()` on the model's options so that we
        # get the correct field instance if there's model inheritance.
        opts = self.model._meta
        return opts.get_field(self.geom_field) 

def feature_kwargs(self, feat):
        """
        Given an OGR Feature, this will return a dictionary of keyword arguments
        for constructing the mapped model.
        """
        # The keyword arguments for model construction.
        kwargs = {}

        # Incrementing through each model field and OGR field in the
        # dictionary mapping.
        for field_name, ogr_name in self.mapping.items():
            model_field = self.fields[field_name]

            if isinstance(model_field, GeometryField):
                # Verify OGR geometry.
                try:
                    val = self.verify_geom(feat.geom, model_field)
                except GDALException:
                    raise LayerMapError('Could not retrieve geometry from feature.')
            elif isinstance(model_field, models.base.ModelBase):
                # The related _model_, not a field was passed in -- indicating
                # another mapping for the related Model.
                val = self.verify_fk(feat, model_field, ogr_name)
            else:
                # Otherwise, verify OGR Field type.
                val = self.verify_ogr_field(feat[ogr_name], model_field)

            # Setting the keyword arguments for the field name with the
            # value obtained above.
            kwargs[field_name] = val

        return kwargs 

def dynamic_join_model_class(self, join_models, related_field_names):
        """
            Creates an unmanaged subclass of the feature class with extra fields to represent the
            the fields of the join_models. This also adds fields for any fields specified in the
            related_model_lookup. This is not for join models but ForeignKeys such as BuiltForm
            These latter fields must be specified explicitly because the main model and join models
            can't populate their foreign keys from the query because the query has to be
            a ValuesQuerySet in order to do the join. So we create id versions of the fields here
            (e.g. built_form_id) which the query can fill and then use that to manually
            set the foreign key reference in the Tastypie resource.
            :param join_models: Other feature models whose attributes should be added to the subclass
            :param related_field_names: List of field names of foreign key id fields (AutoFields)

        """
        main_model_class = self.dynamic_model_class()
        manager = main_model_class.objects
        # Exclude the following field types. Since the base Feature defines an id we'll still get that, which we want
        exclude_field_types = (ForeignKey, ToManyField, OneToOneField, GeometryField)
        all_field_paths_to_fields = merge(
            # Create fields to represented foreign key id fields
            # Our query fetches these ids since it can't fetch related objects (since its a values() query)
            map_to_dict(
                lambda field_name: [field_name.replace('__', '_x_'),
                                    IntegerField(field_name.replace('__', '_x_'), null=True)],
                related_field_names
            ),
            # The join fields for each joined related model
            *map(
                lambda related_model: related_field_paths_to_fields(
                    manager,
                    related_model,
                    exclude_field_types=exclude_field_types,
                    fields=limited_api_fields(related_model),
                    separator='_x_'),
                join_models)
        )

        abstract_feature_class = resolve_module_attr(self.configuration.abstract_class_name)
        # Make sure the class name is unique to the related models and the given ConfigEntity
        related_models_unique_id = '_'.join(sorted(map(lambda related_model: related_model.__name__, join_models), ))
        dynamic_model_clazz = dynamic_model_class(
            main_model_class,
            self.db_entity.schema,
            self.db_entity.table,
            class_name="{0}{1}{2}{3}Join".format(
                abstract_feature_class.__name__,
                self.db_entity.id,
                self.config_entity.id,
                related_models_unique_id),
            fields=all_field_paths_to_fields,
            class_attrs=self.configuration.class_attrs or {},
            related_class_lookup=self.configuration.related_class_lookup or {},
            is_managed=False,
            cacheable=False)
        logger.info("Created dynamic join model class %s" % dynamic_model_clazz)
        logger.debug("Created with model fields %s" % map(lambda field: field.name, dynamic_model_clazz._meta.fields))
        logger.debug("Created with related and join fields %s" % all_field_paths_to_fields)
        return dynamic_model_clazz