def get_prep_value(self, value):
obj = super().get_prep_value(value)
# When the input is not a geometry or raster, attempt to construct one
# from the given string input.
if isinstance(obj, Geometry):
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 = Geometry(obj)
except (GeometryException, 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
def from_db_value(self, value, expression, connection, context):
if value:
if not isinstance(value, Geometry):
value = Geometry(value)
srid = value.srid
if not srid and self.srid != -1:
value.srid = self.srid
return value
def get_prep_value(self, value):
"""
Spatial lookup values are either a parameter that is (or may be
converted to) a geometry or raster, or a sequence of lookup values
that begins with a geometry or raster. This routine sets up the
geometry or raster value properly and preserves any other lookup
parameters.
"""
value = super(BaseSpatialField, self).get_prep_value(value)
# For IsValid lookups, boolean values are allowed.
if isinstance(value, (Expression, bool)):
return value
elif isinstance(value, (tuple, list)):
obj = value[0]
seq_value = True
else:
obj = value
seq_value = False
# When the input is not a geometry or raster, attempt to construct one
# from the given string input.
if isinstance(obj, Geometry):
pass
else:
# Check if input is a candidate for conversion to raster or geometry.
is_candidate = isinstance(obj, (bytes, six.string_types)) or hasattr(obj, '__geo_interface__')
# With GDAL installed, try to convert the input to raster.
raster = False
if HAS_GDAL:
raster = self.get_raster_prep_value(obj, is_candidate)
if raster:
obj = raster
elif is_candidate:
try:
obj = Geometry(obj)
except (GeometryException, 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)
if seq_value:
lookup_val = [obj]
lookup_val.extend(value[1:])
return tuple(lookup_val)
else:
return obj
def get_prep_value(self, value):
"""
Spatial lookup values are either a parameter that is (or may be
converted to) a geometry, or a sequence of lookup values that
begins with a geometry. This routine will setup the geometry
value properly, and preserve any other lookup parameters before
returning to the caller.
"""
from django.contrib.gis.gdal import GDALRaster
value = super(GeometryField, self).get_prep_value(value)
if isinstance(value, (Expression, bool)):
return value
elif isinstance(value, (tuple, list)):
geom = value[0]
seq_value = True
else:
geom = value
seq_value = False
# When the input is not a GEOS geometry, attempt to construct one
# from the given string input.
if isinstance(geom, (Geometry, GDALRaster)):
pass
elif isinstance(geom, (bytes, six.string_types)) or hasattr(geom, '__geo_interface__'):
try:
geom = Geometry(geom)
except GeometryException:
raise ValueError('Could not create geometry from lookup value.')
else:
raise ValueError('Cannot use object with type %s for a geometry lookup parameter.' % type(geom).__name__)
# Assigning the SRID value.
geom.srid = self.get_srid(geom)
if seq_value:
lookup_val = [geom]
lookup_val.extend(value[1:])
return tuple(lookup_val)
else:
return geom
def get_prep_value(self, value):
"""
Spatial lookup values are either a parameter that is (or may be
converted to) a geometry, or a sequence of lookup values that
begins with a geometry. This routine will setup the geometry
value properly, and preserve any other lookup parameters before
returning to the caller.
"""
if isinstance(value, SQLEvaluator):
return value
elif isinstance(value, (tuple, list)):
geom = value[0]
seq_value = True
else:
geom = value
seq_value = False
# When the input is not a GEOS geometry, attempt to construct one
# from the given string input.
if isinstance(geom, Geometry):
pass
elif isinstance(geom, basestring) or hasattr(geom, '__geo_interface__'):
try:
geom = Geometry(geom)
except GeometryException:
raise ValueError('Could not create geometry from lookup value.')
else:
raise ValueError('Cannot use parameter of `%s` type as lookup parameter.' % type(value))
# Assigning the SRID value.
geom.srid = self.get_srid(geom)
if seq_value:
lookup_val = [geom]
lookup_val.extend(value[1:])
return tuple(lookup_val)
else:
return geom
from django.contrib.gis import forms
"""
def convert_geometry(self, value, expression, connection, context):
if value:
value = Geometry(value)
if 'transformed_srid' in context:
value.srid = context['transformed_srid']
return value
def from_db_value(self, value, expression, connection, context):
if value is not None:
value = Geometry(value)
return value
def _distance_attribute(self,
func,
geom=None,
tolerance=0.05,
spheroid=False,
**kwargs):
"""
DRY routine for GeoQuerySet distance attribute routines.
"""
# Setting up the distance procedure arguments.
procedure_args, geo_field = self._spatial_setup(func,
field_name=kwargs.get(
'field_name',
None))
# If geodetic defaulting distance attribute to meters (Oracle and
# PostGIS spherical distances return meters). Otherwise, use the
# units of the geometry field.
connection = connections[self.db]
geodetic = geo_field.geodetic(connection)
geography = geo_field.geography
if geodetic:
dist_att = 'm'
else:
dist_att = Distance.unit_attname(geo_field.units_name(connection))
# Shortcut booleans for what distance function we're using and
# whether the geometry field is 3D.
distance = func == 'distance'
length = func == 'length'
perimeter = func == 'perimeter'
if not (distance or length or perimeter):
raise ValueError('Unknown distance function: %s' % func)
geom_3d = geo_field.dim == 3
# The field's get_db_prep_lookup() is used to get any
# extra distance parameters. Here we set up the
# parameters that will be passed in to field's function.
lookup_params = [geom or 'POINT (0 0)', 0]
# Getting the spatial backend operations.
backend = connection.ops
# If the spheroid calculation is desired, either by the `spheroid`
# keyword or when calculating the length of geodetic field, make
# sure the 'spheroid' distance setting string is passed in so we
# get the correct spatial stored procedure.
if spheroid or (backend.postgis and geodetic and
(not geography) and length):
lookup_params.append('spheroid')
lookup_params = geo_field.get_prep_value(lookup_params)
params = geo_field.get_db_prep_lookup('distance_lte',
lookup_params,
connection=connection)
# The `geom_args` flag is set to true if a geometry parameter was
# passed in.
geom_args = bool(geom)
if backend.oracle:
if distance:
procedure_fmt = '%(geo_col)s,%(geom)s,%(tolerance)s'
elif length or perimeter:
procedure_fmt = '%(geo_col)s,%(tolerance)s'
procedure_args['tolerance'] = tolerance
else:
# Getting whether this field is in units of degrees since the field may have
# been transformed via the `transform` GeoQuerySet method.
if self.query.transformed_srid:
u, unit_name, s = get_srid_info(self.query.transformed_srid,
connection)
geodetic = unit_name in geo_field.geodetic_units
if backend.spatialite and geodetic:
raise ValueError(
'SQLite does not support linear distance calculations on geodetic coordinate systems.'
)
if distance:
if self.query.transformed_srid:
# Setting the `geom_args` flag to false because we want to handle
# transformation SQL here, rather than the way done by default
# (which will transform to the original SRID of the field rather
# than to what was transformed to).
geom_args = False
procedure_fmt = '%s(%%(geo_col)s, %s)' % (
backend.transform, self.query.transformed_srid)
if geom.srid is None or geom.srid == self.query.transformed_srid:
# If the geom parameter srid is None, it is assumed the coordinates
# are in the transformed units. A placeholder is used for the
# geometry parameter. `GeomFromText` constructor is also needed
# to wrap geom placeholder for SpatiaLite.
if backend.spatialite:
procedure_fmt += ', %s(%%%%s, %s)' % (
backend.from_text, self.query.transformed_srid)
else:
procedure_fmt += ', %%s'
else:
# We need to transform the geom to the srid specified in `transform()`,
# so wrapping the geometry placeholder in transformation SQL.
# SpatiaLite also needs geometry placeholder wrapped in `GeomFromText`
# constructor.
if backend.spatialite:
procedure_fmt += ', %s(%s(%%%%s, %s), %s)' % (
backend.transform, backend.from_text,
geom.srid, self.query.transformed_srid)
else:
procedure_fmt += ', %s(%%%%s, %s)' % (
backend.transform, self.query.transformed_srid)
else:
# `transform()` was not used on this GeoQuerySet.
procedure_fmt = '%(geo_col)s,%(geom)s'
if not geography and geodetic:
# Spherical distance calculation is needed (because the geographic
# field is geodetic). However, the PostGIS ST_distance_sphere/spheroid()
# procedures may only do queries from point columns to point geometries
# some error checking is required.
if not backend.geography:
if not isinstance(geo_field, PointField):
raise ValueError(
'Spherical distance calculation only supported on PointFields.'
)
if not str(
Geometry(memoryview(
params[0].ewkb)).geom_type) == 'Point':
raise ValueError(
'Spherical distance calculation only supported with Point Geometry parameters'
)
# The `function` procedure argument needs to be set differently for
# geodetic distance calculations.
if spheroid:
# Call to distance_spheroid() requires spheroid param as well.
procedure_fmt += ",'%(spheroid)s'"
procedure_args.update({
'function': backend.distance_spheroid,
'spheroid': params[1]
})
else:
procedure_args.update(
{'function': backend.distance_sphere})
elif length or perimeter:
procedure_fmt = '%(geo_col)s'
if not geography and geodetic and length:
# There's no `length_sphere`, and `length_spheroid` also
# works on 3D geometries.
procedure_fmt += ",'%(spheroid)s'"
procedure_args.update({
'function': backend.length_spheroid,
'spheroid': params[1]
})
elif geom_3d and backend.postgis:
# Use 3D variants of perimeter and length routines on PostGIS.
if perimeter:
procedure_args.update(
{'function': backend.perimeter3d})
elif length:
procedure_args.update({'function': backend.length3d})
# Setting up the settings for `_spatial_attribute`.
s = {
'select_field': DistanceField(dist_att),
'setup': False,
'geo_field': geo_field,
'procedure_args': procedure_args,
'procedure_fmt': procedure_fmt,
}
if geom_args:
s['geom_args'] = ('geom', )
s['procedure_args']['geom'] = geom
elif geom:
# The geometry is passed in as a parameter because we handled
# transformation conditions in this routine.
s['select_params'] = [backend.Adapter(geom)]
return self._spatial_attribute(func, s, **kwargs)
def from_db_value(self, value, connection):
if value:
value = Geometry(value)
return value
def from_db_value(self, value, connection):
if value and not isinstance(value, Geometry):
value = Geometry(value)
return value
if version < (4, 0, 0):
raise ImproperlyConfigured('GeoDjango only supports SpatiaLite versions 4.0.0 and above.')
return version
<<<<<<< HEAD
def convert_extent(self, box, srid):
=======
def convert_extent(self, box):
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
"""
Convert the polygon data received from SpatiaLite to min/max values.
"""
if box is None:
return None
<<<<<<< HEAD
shell = Geometry(box, srid).shell
=======
shell = GEOSGeometry(box).shell
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
xmin, ymin = shell[0][:2]
xmax, ymax = shell[2][:2]
return (xmin, ymin, xmax, ymax)
def geo_db_type(self, f):
"""
<<<<<<< HEAD
Returns None because geometry columns are added via the
=======
Return None because geometry columns are added via the
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
`AddGeometryColumn` stored procedure on SpatiaLite.
def convert_geom(self, clob, geo_field):
if clob:
return Geometry(clob.read(), geo_field.srid)
else:
return None
def convert_geometry(self, value, expression, context):
if value:
value = Geometry(value)
if "transformed_srid" in context:
value.srid = context["transformed_srid"]
return value
"""
def convert_geometry(self, value, expression, connection, context):
if value:
value = Geometry(value)
if 'transformed_srid' in context:
value.srid = context['transformed_srid']
return value
'AsGeoJSON', 'AsKML', 'AsSVG', 'Azimuth', 'Envelope', 'ForceRHR',
'GeoHash', 'LineLocatePoint', 'MakeValid', 'MemSize', 'Scale',
'SnapToGrid', 'Translate',
}
def geo_quote_name(self, name):
return super().geo_quote_name(name).upper()
def convert_extent(self, clob):
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
if clob:
# Generally, Oracle returns a polygon for the extent -- however,
# it can return a single point if there's only one Point in the
# table.
<<<<<<< HEAD
ext_geom = Geometry(clob.read(), srid)
=======
ext_geom = GEOSGeometry(memoryview(clob.read()))
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
gtype = str(ext_geom.geom_type)
if gtype == 'Polygon':
# Construct the 4-tuple from the coordinates in the polygon.
shell = ext_geom.shell
ll, ur = shell[0][:2], shell[2][:2]
elif gtype == 'Point':
ll = ext_geom.coords[:2]
ur = ll
else:
raise Exception('Unexpected geometry type returned for extent: %s' % gtype)
xmin, ymin = ll
xmax, ymax = ur
