from decimal import Decimal from django.contrib.gis.db.models.fields import BaseSpatialField, GeometryField from django.contrib.gis.db.models.sql import AreaField from django.contrib.gis.geometry.backend import Geometry from django.contrib.gis.measure import ( Area as AreaMeasure, Distance as DistanceMeasure, ) from django.core.exceptions import FieldError from django.db.models import ( BooleanField, FloatField, IntegerField, TextField, Transform, ) from django.db.models.expressions import Func, Value from django.db.models.functions import Cast NUMERIC_TYPES = (int, float, Decimal) class GeoFuncMixin: function = None output_field_class = None geom_param_pos = (0,) def __init__(self, *expressions, **extra): if 'output_field' not in extra and self.output_field_class: extra['output_field'] = self.output_field_class() super().__init__(*expressions, **extra) # Ensure that value expressions are geometric. for pos in self.geom_param_pos: expr = self.source_expressions[pos] if not isinstance(expr, Value): continue try: output_field = expr.output_field except FieldError: output_field = None geom = expr.value if not isinstance(geom, Geometry) or output_field and not isinstance(output_field, GeometryField): raise TypeError("%s function requires a geometric argument in position %d." % (self.name, pos + 1)) if not geom.srid and not output_field: raise ValueError("SRID is required for all geometries.") if not output_field: self.source_expressions[pos] = Value(geom, output_field=GeometryField(srid=geom.srid)) @property def name(self): return self.__class__.__name__ @property def srid(self): return self.source_expressions[self.geom_param_pos[0]].field.srid @property def geo_field(self): return GeometryField(srid=self.srid) if self.srid else None def as_sql(self, compiler, connection, function=None, **extra_context): if not self.function and not function: function = connection.ops.spatial_function_name(self.name) return super().as_sql(compiler, connection, function=function, **extra_context) def resolve_expression(self, *args, **kwargs): res = super().resolve_expression(*args, **kwargs) # Ensure that expressions are geometric. source_fields = res.get_source_fields() for pos in self.geom_param_pos: field = source_fields[pos] if not isinstance(field, GeometryField): raise TypeError( "%s function requires a GeometryField in position %s, got %s." % ( self.name, pos + 1, type(field).__name__, ) ) base_srid = res.srid for pos in self.geom_param_pos[1:]: expr = res.source_expressions[pos] expr_srid = expr.output_field.srid if expr_srid != base_srid: # Automatic SRID conversion so objects are comparable. res.source_expressions[pos] = Transform(expr, base_srid).resolve_expression(*args, **kwargs) return res def _handle_param(self, value, param_name='', check_types=None): if not hasattr(value, 'resolve_expression'): if check_types and not isinstance(value, check_types): raise TypeError( "The %s parameter has the wrong type: should be %s." % ( param_name, check_types) ) return value class GeoFunc(GeoFuncMixin, Func): pass class GeomOutputGeoFunc(GeoFunc): def __init__(self, *expressions, **extra): if 'output_field' not in extra: extra['output_field'] = GeometryField() super(GeomOutputGeoFunc, self).__init__(*expressions, **extra) def resolve_expression(self, *args, **kwargs): res = super().resolve_expression(*args, **kwargs) res.output_field.srid = res.srid return res class SQLiteDecimalToFloatMixin: """ By default, Decimal values are converted to str by the SQLite backend, which is not acceptable by the GIS functions expecting numeric values. """ def as_sqlite(self, compiler, connection): for expr in self.get_source_expressions(): if hasattr(expr, 'value') and isinstance(expr.value, Decimal): expr.value = float(expr.value) return super().as_sql(compiler, connection) class OracleToleranceMixin: tolerance = 0.05 def as_oracle(self, compiler, connection): tol = self.extra.get('tolerance', self.tolerance) return super().as_sql(compiler, connection, template="%%(function)s(%%(expressions)s, %s)" % tol) class Area(OracleToleranceMixin, GeoFunc): output_field_class = AreaField arity = 1 def as_sql(self, compiler, connection, **extra_context): if connection.ops.geography: self.output_field.area_att = 'sq_m' else: # Getting the area units of the geographic field. geo_field = self.geo_field if geo_field.geodetic(connection): if connection.features.supports_area_geodetic: self.output_field.area_att = 'sq_m' else: # TODO: Do we want to support raw number areas for geodetic fields? raise NotImplementedError('Area on geodetic coordinate systems not supported.') else: units_name = geo_field.units_name(connection) if units_name: self.output_field.area_att = AreaMeasure.unit_attname(units_name) return super().as_sql(compiler, connection, **extra_context) def as_oracle(self, compiler, connection): self.output_field = AreaField('sq_m') # Oracle returns area in units of meters. return super().as_oracle(compiler, connection) def as_sqlite(self, compiler, connection, **extra_context): if self.geo_field.geodetic(connection): extra_context['template'] = '%(function)s(%(expressions)s, %(spheroid)d)' extra_context['spheroid'] = True return self.as_sql(compiler, connection, **extra_context) class Azimuth(GeoFunc): output_field_class = FloatField arity = 2 geom_param_pos = (0, 1) class AsGeoJSON(GeoFunc): output_field_class = TextField def __init__(self, expression, bbox=False, crs=False, precision=8, **extra): expressions = [expression] if precision is not None: expressions.append(self._handle_param(precision, 'precision', int)) options = 0 if crs and bbox: options = 3 elif bbox: options = 1 elif crs: options = 2 if options: expressions.append(options) super().__init__(*expressions, **extra) class AsGML(GeoFunc): geom_param_pos = (1,) output_field_class = TextField def __init__(self, expression, version=2, precision=8, **extra): expressions = [version, expression] if precision is not None: expressions.append(self._handle_param(precision, 'precision', int)) super().__init__(*expressions, **extra) def as_oracle(self, compiler, connection, **extra_context): source_expressions = self.get_source_expressions() version = source_expressions[0] clone = self.copy() clone.set_source_expressions([source_expressions[1]]) extra_context['function'] = 'SDO_UTIL.TO_GML311GEOMETRY' if version.value == 3 else 'SDO_UTIL.TO_GMLGEOMETRY' return super(AsGML, clone).as_sql(compiler, connection, **extra_context) class AsKML(AsGML): def as_sqlite(self, compiler, connection): # No version parameter clone = self.copy() clone.set_source_expressions(self.get_source_expressions()[1:]) return clone.as_sql(compiler, connection) class AsSVG(GeoFunc): output_field_class = TextField def __init__(self, expression, relative=False, precision=8, **extra): relative = relative if hasattr(relative, 'resolve_expression') else int(relative) expressions = [ expression, relative, self._handle_param(precision, 'precision', int), ] super().__init__(*expressions, **extra) class BoundingCircle(OracleToleranceMixin, GeoFunc): def __init__(self, expression, num_seg=48, **extra): super().__init__(*[expression, num_seg], **extra) def as_oracle(self, compiler, connection): clone = self.copy() clone.set_source_expressions([self.get_source_expressions()[0]]) return super(BoundingCircle, clone).as_oracle(compiler, connection) class Centroid(OracleToleranceMixin, GeomOutputGeoFunc): arity = 1 class Difference(OracleToleranceMixin, GeomOutputGeoFunc): arity = 2 geom_param_pos = (0, 1) class DistanceResultMixin: def source_is_geography(self): return self.get_source_fields()[0].geography and self.srid == 4326 def convert_value(self, value, expression, connection, context): if value is None: return None geo_field = self.geo_field if geo_field.geodetic(connection): dist_att = 'm' else: units = geo_field.units_name(connection) if units: dist_att = DistanceMeasure.unit_attname(units) else: dist_att = None if dist_att: return DistanceMeasure(**{dist_att: value}) return value class Distance(DistanceResultMixin, OracleToleranceMixin, GeoFunc): geom_param_pos = (0, 1) output_field_class = FloatField spheroid = None def __init__(self, expr1, expr2, spheroid=None, **extra): expressions = [expr1, expr2] if spheroid is not None: self.spheroid = spheroid expressions += (self._handle_param(spheroid, 'spheroid', bool),) super().__init__(*expressions, **extra) def as_postgresql(self, compiler, connection): function = None geo_field = GeometryField(srid=self.srid) # Fake field to get SRID info expr2 = self.source_expressions[1] geography = self.source_is_geography() if expr2.output_field.geography != geography: if isinstance(expr2, Value): expr2.output_field.geography = geography else: self.source_expressions[1] = Cast( expr2, GeometryField(srid=expr2.output_field.srid, geography=geography), ) if not geography and geo_field.geodetic(connection): # Geometry fields with geodetic (lon/lat) coordinates need special distance functions if self.spheroid: # DistanceSpheroid is more accurate and resource intensive than DistanceSphere function = connection.ops.spatial_function_name('DistanceSpheroid') # Replace boolean param by the real spheroid of the base field self.source_expressions[2] = Value(geo_field._spheroid) else: function = connection.ops.spatial_function_name('DistanceSphere') return super().as_sql(compiler, connection, function=function) def as_oracle(self, compiler, connection): if self.spheroid: self.source_expressions.pop(2) return super().as_oracle(compiler, connection) def as_sqlite(self, compiler, connection, **extra_context): if self.spheroid: self.source_expressions.pop(2) if self.geo_field.geodetic(connection): # SpatiaLite returns NULL instead of zero on geodetic coordinates extra_context['template'] = 'COALESCE(%(function)s(%(expressions)s, %(spheroid)s), 0)' extra_context['spheroid'] = int(bool(self.spheroid)) return super().as_sql(compiler, connection, **extra_context) class Envelope(GeomOutputGeoFunc): arity = 1 class ForceRHR(GeomOutputGeoFunc): arity = 1 class GeoHash(GeoFunc): output_field_class = TextField def __init__(self, expression, precision=None, **extra): expressions = [expression] if precision is not None: expressions.append(self._handle_param(precision, 'precision', int)) super().__init__(*expressions, **extra) def as_mysql(self, compiler, connection): clone = self.copy() # If no precision is provided, set it to the maximum. if len(clone.source_expressions) < 2: clone.source_expressions.append(Value(100)) return clone.as_sql(compiler, connection) class Intersection(OracleToleranceMixin, GeomOutputGeoFunc): arity = 2 geom_param_pos = (0, 1) @BaseSpatialField.register_lookup class IsValid(OracleToleranceMixin, GeoFuncMixin, Transform): lookup_name = 'isvalid' output_field = BooleanField() def as_oracle(self, compiler, connection, **extra_context): sql, params = super().as_oracle(compiler, connection, **extra_context) return "CASE %s WHEN 'TRUE' THEN 1 ELSE 0 END" % sql, params class Length(DistanceResultMixin, OracleToleranceMixin, GeoFunc): output_field_class = FloatField def __init__(self, expr1, spheroid=True, **extra): self.spheroid = spheroid super().__init__(expr1, **extra) def as_sql(self, compiler, connection): geo_field = GeometryField(srid=self.srid) # Fake field to get SRID info if geo_field.geodetic(connection) and not connection.features.supports_length_geodetic: raise NotImplementedError("This backend doesn't support Length on geodetic fields") return super().as_sql(compiler, connection) def as_postgresql(self, compiler, connection): function = None geo_field = GeometryField(srid=self.srid) # Fake field to get SRID info if self.source_is_geography(): self.source_expressions.append(Value(self.spheroid)) elif geo_field.geodetic(connection): # Geometry fields with geodetic (lon/lat) coordinates need length_spheroid function = connection.ops.spatial_function_name('LengthSpheroid') self.source_expressions.append(Value(geo_field._spheroid)) else: dim = min(f.dim for f in self.get_source_fields() if f) if dim > 2: function = connection.ops.length3d return super().as_sql(compiler, connection, function=function) def as_sqlite(self, compiler, connection): function = None geo_field = GeometryField(srid=self.srid) if geo_field.geodetic(connection): function = 'GeodesicLength' if self.spheroid else 'GreatCircleLength' return super().as_sql(compiler, connection, function=function) class LineLocatePoint(GeoFunc): output_field_class = FloatField arity = 2 geom_param_pos = (0, 1) class MakeValid(GeoFunc): pass class MemSize(GeoFunc): output_field_class = IntegerField arity = 1 class NumGeometries(GeoFunc): output_field_class = IntegerField arity = 1 class NumPoints(GeoFunc): output_field_class = IntegerField arity = 1 def as_sql(self, compiler, connection): if self.source_expressions[self.geom_param_pos[0]].output_field.geom_type != 'LINESTRING': if not connection.features.supports_num_points_poly: raise TypeError('NumPoints can only operate on LineString content on this database.') return super().as_sql(compiler, connection) class Perimeter(DistanceResultMixin, OracleToleranceMixin, GeoFunc): output_field_class = FloatField arity = 1 def as_postgresql(self, compiler, connection): function = None geo_field = GeometryField(srid=self.srid) # Fake field to get SRID info if geo_field.geodetic(connection) and not self.source_is_geography(): raise NotImplementedError("ST_Perimeter cannot use a non-projected non-geography field.") dim = min(f.dim for f in self.get_source_fields()) if dim > 2: function = connection.ops.perimeter3d return super().as_sql(compiler, connection, function=function) def as_sqlite(self, compiler, connection): geo_field = GeometryField(srid=self.srid) # Fake field to get SRID info if geo_field.geodetic(connection): raise NotImplementedError("Perimeter cannot use a non-projected field.") return super().as_sql(compiler, connection) class PointOnSurface(OracleToleranceMixin, GeomOutputGeoFunc): arity = 1 class Reverse(GeoFunc): arity = 1 class Scale(SQLiteDecimalToFloatMixin, GeomOutputGeoFunc): def __init__(self, expression, x, y, z=0.0, **extra): expressions = [ expression, self._handle_param(x, 'x', NUMERIC_TYPES), self._handle_param(y, 'y', NUMERIC_TYPES), ] if z != 0.0: expressions.append(self._handle_param(z, 'z', NUMERIC_TYPES)) super().__init__(*expressions, **extra) class SnapToGrid(SQLiteDecimalToFloatMixin, GeomOutputGeoFunc): def __init__(self, expression, *args, **extra): nargs = len(args) expressions = [expression] if nargs in (1, 2): expressions.extend( [self._handle_param(arg, '', NUMERIC_TYPES) for arg in args] ) elif nargs == 4: # Reverse origin and size param ordering expressions.extend( [self._handle_param(arg, '', NUMERIC_TYPES) for arg in args[2:]] ) expressions.extend( [self._handle_param(arg, '', NUMERIC_TYPES) for arg in args[0:2]] ) else: raise ValueError('Must provide 1, 2, or 4 arguments to `SnapToGrid`.') super().__init__(*expressions, **extra) class SymDifference(OracleToleranceMixin, GeomOutputGeoFunc): arity = 2 geom_param_pos = (0, 1) class Transform(GeomOutputGeoFunc): def __init__(self, expression, srid, **extra): expressions = [ expression, self._handle_param(srid, 'srid', int), ] if 'output_field' not in extra: extra['output_field'] = GeometryField(srid=srid) super().__init__(*expressions, **extra) @property def srid(self): # Make srid the resulting srid of the transformation return self.source_expressions[1].value class Translate(Scale): def as_sqlite(self, compiler, connection): if len(self.source_expressions) < 4: # Always provide the z parameter for ST_Translate self.source_expressions.append(Value(0)) return super().as_sqlite(compiler, connection) class Union(OracleToleranceMixin, GeomOutputGeoFunc): arity = 2 geom_param_pos = (0, 1)