django/contrib/gis/db/models/fields.py
from collections import defaultdict, namedtuple
from django.contrib.gis import forms, gdal
from django.contrib.gis.db.models.proxy import SpatialProxy
from django.contrib.gis.gdal.error import GDALException
from django.contrib.gis.geos import (
GeometryCollection,
GEOSException,
GEOSGeometry,
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
from django.core.exceptions import ImproperlyConfigured
from django.db.models import Field
from django.utils.translation import gettext_lazy as _
# Local cache of the spatial_ref_sys table, which holds SRID data for each
# spatial database alias. This cache exists so that the database isn't queried
# for SRID info each time a distance query is constructed.
_srid_cache = defaultdict(dict)
SRIDCacheEntry = namedtuple(
"SRIDCacheEntry", ["units", "units_name", "spheroid", "geodetic"]
)
def get_srid_info(srid, connection):
"""
Return the units, unit name, and spheroid WKT associated with the
given SRID from the `spatial_ref_sys` (or equivalent) spatial database
table for the given database connection. These results are cached.
"""
from django.contrib.gis.gdal import SpatialReference
global _srid_cache
try:
# The SpatialRefSys model for the spatial backend.
SpatialRefSys = connection.ops.spatial_ref_sys()
except NotImplementedError:
SpatialRefSys = None
alias, get_srs = (
(
connection.alias,
lambda srid: SpatialRefSys.objects.using(connection.alias)
.get(srid=srid)
.srs,
)
if SpatialRefSys
else (None, SpatialReference)
)
if srid not in _srid_cache[alias]:
srs = get_srs(srid)
units, units_name = srs.units
_srid_cache[alias][srid] = SRIDCacheEntry(
units=units,
units_name=units_name,
spheroid='SPHEROID["%s",%s,%s]'
% (srs["spheroid"], srs.semi_major, srs.inverse_flattening),
geodetic=srs.geographic,
)
return _srid_cache[alias][srid]
class BaseSpatialField(Field):
"""
The Base GIS Field.
It's used as a base class for GeometryField and RasterField. Defines
properties that are common to all GIS fields such as the characteristics
of the spatial reference system of the field.
"""
description = _("The base GIS field.")
empty_strings_allowed = False
def __init__(self, verbose_name=None, srid=4326, spatial_index=True, **kwargs):
"""
The initialization function for base spatial fields. Takes the following
as keyword arguments:
srid:
The spatial reference system identifier, an OGC standard.
Defaults to 4326 (WGS84).
spatial_index:
Indicates whether to create a spatial index. Defaults to True.
Set this instead of 'db_index' for geographic fields since index
creation is different for geometry columns.
"""
# Setting the index flag with the value of the `spatial_index` keyword.
self.spatial_index = spatial_index
# Setting the SRID and getting the units. Unit information must be
# easily available in the field instance for distance queries.
self.srid = srid
# Setting the verbose_name keyword argument with the positional
# first parameter, so this works like normal fields.
kwargs["verbose_name"] = verbose_name
super().__init__(**kwargs)
def deconstruct(self):
name, path, args, kwargs = super().deconstruct()
# Always include SRID for less fragility; include spatial index if it's
# not the default value.
kwargs["srid"] = self.srid
if self.spatial_index is not True:
kwargs["spatial_index"] = self.spatial_index
return name, path, args, kwargs
def db_type(self, connection):
return connection.ops.geo_db_type(self)
def spheroid(self, connection):
return get_srid_info(self.srid, connection).spheroid
def units(self, connection):
return get_srid_info(self.srid, connection).units
def units_name(self, connection):
return get_srid_info(self.srid, connection).units_name
def geodetic(self, connection):
"""
Return true if this field's SRID corresponds with a coordinate
system that uses non-projected units (e.g., latitude/longitude).
"""
return get_srid_info(self.srid, connection).geodetic
def get_placeholder(self, value, compiler, connection):
"""
Return the placeholder for the spatial column for the
given value.
"""
return connection.ops.get_geom_placeholder(self, value, compiler)
def get_srid(self, obj):
"""
Return the default SRID for the given geometry or raster, taking into
account the SRID set for the field. For example, if the input geometry
or raster doesn't have an SRID, then the SRID of the field will be
returned.
"""
srid = obj.srid # SRID of given geometry.
if srid is None or self.srid == -1 or (srid == -1 and self.srid != -1):
return self.srid
else:
return srid
def get_db_prep_value(self, value, connection, *args, **kwargs):
if value is None:
return None
return connection.ops.Adapter(
super().get_db_prep_value(value, connection, *args, **kwargs),
**(
{"geography": True}
if self.geography and connection.features.supports_geography
else {}
),
)
def get_raster_prep_value(self, value, is_candidate):
"""
Return a GDALRaster if conversion is successful, otherwise return None.
"""
if isinstance(value, gdal.GDALRaster):
return value
elif is_candidate:
try:
return gdal.GDALRaster(value)
except GDALException:
pass
elif isinstance(value, dict):
try:
return gdal.GDALRaster(value)
except GDALException:
raise ValueError(
"Couldn't create spatial object from lookup value '%s'." % value
)
def get_prep_value(self, value):
obj = super().get_prep_value(value)
if obj is None:
return None
# When the input is not a geometry or raster, attempt to construct one
# from the given string input.
if isinstance(obj, GEOSGeometry):
pass
else:
# Check if input is a candidate for conversion to raster or geometry.
is_candidate = isinstance(obj, (bytes, str)) or hasattr(
obj, "__geo_interface__"
)
# Try to convert the input to raster.
raster = self.get_raster_prep_value(obj, is_candidate)
if raster:
obj = raster
elif is_candidate:
try:
obj = GEOSGeometry(obj)
except (GEOSException, GDALException):
raise ValueError(
"Couldn't create spatial object from lookup value '%s'." % obj
)
else:
raise ValueError(
"Cannot use object with type %s for a spatial lookup parameter."
% type(obj).__name__
)
# Assigning the SRID value.
obj.srid = self.get_srid(obj)
return obj
class GeometryField(BaseSpatialField):
"""
The base Geometry field -- maps to the OpenGIS Specification Geometry type.
"""
description = _(
"The base Geometry field — maps to the OpenGIS Specification Geometry type."
)
form_class = forms.GeometryField
# The OpenGIS Geometry name.
geom_type = "GEOMETRY"
geom_class = None
def __init__(
self,
verbose_name=None,
dim=2,
geography=False,
*,
extent=(-180.0, -90.0, 180.0, 90.0),
tolerance=0.05,
**kwargs,
):
"""
The initialization function for geometry fields. In addition to the
parameters from BaseSpatialField, it takes the following as keyword
arguments:
dim:
The number of dimensions for this geometry. Defaults to 2.
extent:
Customize the extent, in a 4-tuple of WGS 84 coordinates, for the
geometry field entry in the `USER_SDO_GEOM_METADATA` table. Defaults
to (-180.0, -90.0, 180.0, 90.0).
tolerance:
Define the tolerance, in meters, to use for the geometry field
entry in the `USER_SDO_GEOM_METADATA` table. Defaults to 0.05.
"""
# Setting the dimension of the geometry field.
self.dim = dim
# Is this a geography rather than a geometry column?
self.geography = geography
# Oracle-specific private attributes for creating the entry in
# `USER_SDO_GEOM_METADATA`
self._extent = extent
self._tolerance = tolerance
super().__init__(verbose_name=verbose_name, **kwargs)
def deconstruct(self):
name, path, args, kwargs = super().deconstruct()
# Include kwargs if they're not the default values.
if self.dim != 2:
kwargs["dim"] = self.dim
if self.geography is not False:
kwargs["geography"] = self.geography
if self._extent != (-180.0, -90.0, 180.0, 90.0):
kwargs["extent"] = self._extent
if self._tolerance != 0.05:
kwargs["tolerance"] = self._tolerance
return name, path, args, kwargs
def contribute_to_class(self, cls, name, **kwargs):
super().contribute_to_class(cls, name, **kwargs)
# Setup for lazy-instantiated Geometry object.
setattr(
cls,
self.attname,
SpatialProxy(self.geom_class or GEOSGeometry, self, load_func=GEOSGeometry),
)
def formfield(self, **kwargs):
defaults = {
"form_class": self.form_class,
"geom_type": self.geom_type,
"srid": self.srid,
**kwargs,
}
if self.dim > 2 and not getattr(
defaults["form_class"].widget, "supports_3d", False
):
defaults.setdefault("widget", forms.Textarea)
return super().formfield(**defaults)
def select_format(self, compiler, sql, params):
"""
Return the selection format string, depending on the requirements
of the spatial backend. For example, Oracle and MySQL require custom
selection formats in order to retrieve geometries in OGC WKB.
"""
if not compiler.query.subquery:
return compiler.connection.ops.select % sql, params
return sql, params
# The OpenGIS Geometry Type Fields
class PointField(GeometryField):
geom_type = "POINT"
geom_class = Point
form_class = forms.PointField
description = _("Point")
class LineStringField(GeometryField):
geom_type = "LINESTRING"
geom_class = LineString
form_class = forms.LineStringField
description = _("Line string")
class PolygonField(GeometryField):
geom_type = "POLYGON"
geom_class = Polygon
form_class = forms.PolygonField
description = _("Polygon")
class MultiPointField(GeometryField):
geom_type = "MULTIPOINT"
geom_class = MultiPoint
form_class = forms.MultiPointField
description = _("Multi-point")
class MultiLineStringField(GeometryField):
geom_type = "MULTILINESTRING"
geom_class = MultiLineString
form_class = forms.MultiLineStringField
description = _("Multi-line string")
class MultiPolygonField(GeometryField):
geom_type = "MULTIPOLYGON"
geom_class = MultiPolygon
form_class = forms.MultiPolygonField
description = _("Multi polygon")
class GeometryCollectionField(GeometryField):
geom_type = "GEOMETRYCOLLECTION"
geom_class = GeometryCollection
form_class = forms.GeometryCollectionField
description = _("Geometry collection")
class ExtentField(Field):
"Used as a return value from an extent aggregate"
description = _("Extent Aggregate Field")
def get_internal_type(self):
return "ExtentField"
def select_format(self, compiler, sql, params):
select = compiler.connection.ops.select_extent
return select % sql if select else sql, params
class RasterField(BaseSpatialField):
"""
Raster field for GeoDjango -- evaluates into GDALRaster objects.
"""
description = _("Raster Field")
geom_type = "RASTER"
geography = False
def _check_connection(self, connection):
# Make sure raster fields are used only on backends with raster support.
if (
not connection.features.gis_enabled
or not connection.features.supports_raster
):
raise ImproperlyConfigured(
"Raster fields require backends with raster support."
)
def db_type(self, connection):
self._check_connection(connection)
return super().db_type(connection)
def from_db_value(self, value, expression, connection):
return connection.ops.parse_raster(value)
def contribute_to_class(self, cls, name, **kwargs):
super().contribute_to_class(cls, name, **kwargs)
# Setup for lazy-instantiated Raster object. For large querysets, the
# instantiation of all GDALRasters can potentially be expensive. This
# delays the instantiation of the objects to the moment of evaluation
# of the raster attribute.
setattr(cls, self.attname, SpatialProxy(gdal.GDALRaster, self))
def get_transform(self, name):
from django.contrib.gis.db.models.lookups import RasterBandTransform
try:
band_index = int(name)
return type(
"SpecificRasterBandTransform",
(RasterBandTransform,),
{"band_index": band_index},
)
except ValueError:
pass
return super().get_transform(name)