| from django.core.exceptions import ImproperlyConfigured |
| from django.db import connection |
| from django.db.models.query import sql, QuerySet, Q |
| |
| from django.contrib.gis.db.backend import SpatialBackend |
| from django.contrib.gis.db.models.fields import GeometryField, PointField |
| from django.contrib.gis.db.models.sql import AreaField, DistanceField, GeomField, GeoQuery, GeoWhereNode |
| from django.contrib.gis.measure import Area, Distance |
| from django.contrib.gis.models import get_srid_info |
| qn = connection.ops.quote_name |
| |
| # For backwards-compatibility; Q object should work just fine |
| # after queryset-refactor. |
| class GeoQ(Q): pass |
| |
| class GeomSQL(object): |
| "Simple wrapper object for geometric SQL." |
| def __init__(self, geo_sql): |
| self.sql = geo_sql |
| |
| def as_sql(self, *args, **kwargs): |
| return self.sql |
| |
| class GeoQuerySet(QuerySet): |
| "The Geographic QuerySet." |
| |
| def __init__(self, model=None, query=None): |
| super(GeoQuerySet, self).__init__(model=model, query=query) |
| self.query = query or GeoQuery(self.model, connection) |
| |
| def area(self, tolerance=0.05, **kwargs): |
| """ |
| Returns the area of the geographic field in an `area` attribute on |
| each element of this GeoQuerySet. |
| """ |
| # Peforming setup here rather than in `_spatial_attribute` so that |
| # we can get the units for `AreaField`. |
| procedure_args, geo_field = self._spatial_setup('area', field_name=kwargs.get('field_name', None)) |
| s = {'procedure_args' : procedure_args, |
| 'geo_field' : geo_field, |
| 'setup' : False, |
| } |
| if SpatialBackend.oracle: |
| s['procedure_fmt'] = '%(geo_col)s,%(tolerance)s' |
| s['procedure_args']['tolerance'] = tolerance |
| s['select_field'] = AreaField('sq_m') # Oracle returns area in units of meters. |
| elif SpatialBackend.postgis: |
| if not geo_field.geodetic: |
| # Getting the area units of the geographic field. |
| s['select_field'] = AreaField(Area.unit_attname(geo_field._unit_name)) |
| else: |
| # TODO: Do we want to support raw number areas for geodetic fields? |
| raise Exception('Area on geodetic coordinate systems not supported.') |
| return self._spatial_attribute('area', s, **kwargs) |
| |
| def centroid(self, **kwargs): |
| """ |
| Returns the centroid of the geographic field in a `centroid` |
| attribute on each element of this GeoQuerySet. |
| """ |
| return self._geom_attribute('centroid', **kwargs) |
| |
| def difference(self, geom, **kwargs): |
| """ |
| Returns the spatial difference of the geographic field in a `difference` |
| attribute on each element of this GeoQuerySet. |
| """ |
| return self._geomset_attribute('difference', geom, **kwargs) |
| |
| def distance(self, geom, **kwargs): |
| """ |
| Returns the distance from the given geographic field name to the |
| given geometry in a `distance` attribute on each element of the |
| GeoQuerySet. |
| |
| Keyword Arguments: |
| `spheroid` => If the geometry field is geodetic and PostGIS is |
| the spatial database, then the more accurate |
| spheroid calculation will be used instead of the |
| quicker sphere calculation. |
| |
| `tolerance` => Used only for Oracle. The tolerance is |
| in meters -- a default of 5 centimeters (0.05) |
| is used. |
| """ |
| return self._distance_attribute('distance', geom, **kwargs) |
| |
| def envelope(self, **kwargs): |
| """ |
| Returns a Geometry representing the bounding box of the |
| Geometry field in an `envelope` attribute on each element of |
| the GeoQuerySet. |
| """ |
| return self._geom_attribute('envelope', **kwargs) |
| |
| def extent(self, **kwargs): |
| """ |
| Returns the extent (aggregate) of the features in the GeoQuerySet. The |
| extent will be returned as a 4-tuple, consisting of (xmin, ymin, xmax, ymax). |
| """ |
| convert_extent = None |
| if SpatialBackend.postgis: |
| def convert_extent(box, geo_field): |
| # TODO: Parsing of BOX3D, Oracle support (patches welcome!) |
| # Box text will be something like "BOX(-90.0 30.0, -85.0 40.0)"; |
| # parsing out and returning as a 4-tuple. |
| ll, ur = box[4:-1].split(',') |
| xmin, ymin = map(float, ll.split()) |
| xmax, ymax = map(float, ur.split()) |
| return (xmin, ymin, xmax, ymax) |
| elif SpatialBackend.oracle: |
| def convert_extent(wkt, geo_field): |
| raise NotImplementedError |
| return self._spatial_aggregate('extent', convert_func=convert_extent, **kwargs) |
| |
| def gml(self, precision=8, version=2, **kwargs): |
| """ |
| Returns GML representation of the given field in a `gml` attribute |
| on each element of the GeoQuerySet. |
| """ |
| s = {'desc' : 'GML', 'procedure_args' : {'precision' : precision}} |
| if SpatialBackend.postgis: |
| # PostGIS AsGML() aggregate function parameter order depends on the |
| # version -- uggh. |
| major, minor1, minor2 = SpatialBackend.version |
| if major >= 1 and (minor1 > 3 or (minor1 == 3 and minor2 > 1)): |
| procedure_fmt = '%(version)s,%(geo_col)s,%(precision)s' |
| else: |
| procedure_fmt = '%(geo_col)s,%(precision)s,%(version)s' |
| s['procedure_args'] = {'precision' : precision, 'version' : version} |
| |
| return self._spatial_attribute('gml', s, **kwargs) |
| |
| def intersection(self, geom, **kwargs): |
| """ |
| Returns the spatial intersection of the Geometry field in |
| an `intersection` attribute on each element of this |
| GeoQuerySet. |
| """ |
| return self._geomset_attribute('intersection', geom, **kwargs) |
| |
| def kml(self, **kwargs): |
| """ |
| Returns KML representation of the geometry field in a `kml` |
| attribute on each element of this GeoQuerySet. |
| """ |
| s = {'desc' : 'KML', |
| 'procedure_fmt' : '%(geo_col)s,%(precision)s', |
| 'procedure_args' : {'precision' : kwargs.pop('precision', 8)}, |
| } |
| return self._spatial_attribute('kml', s, **kwargs) |
| |
| def length(self, **kwargs): |
| """ |
| Returns the length of the geometry field as a `Distance` object |
| stored in a `length` attribute on each element of this GeoQuerySet. |
| """ |
| return self._distance_attribute('length', None, **kwargs) |
| |
| def make_line(self, **kwargs): |
| """ |
| Creates a linestring from all of the PointField geometries in the |
| this GeoQuerySet and returns it. This is a spatial aggregate |
| method, and thus returns a geometry rather than a GeoQuerySet. |
| """ |
| kwargs['geo_field_type'] = PointField |
| kwargs['agg_field'] = GeometryField |
| return self._spatial_aggregate('make_line', **kwargs) |
| |
| def mem_size(self, **kwargs): |
| """ |
| Returns the memory size (number of bytes) that the geometry field takes |
| in a `mem_size` attribute on each element of this GeoQuerySet. |
| """ |
| return self._spatial_attribute('mem_size', {}, **kwargs) |
| |
| def num_geom(self, **kwargs): |
| """ |
| Returns the number of geometries if the field is a |
| GeometryCollection or Multi* Field in a `num_geom` |
| attribute on each element of this GeoQuerySet; otherwise |
| the sets with None. |
| """ |
| return self._spatial_attribute('num_geom', {}, **kwargs) |
| |
| def num_points(self, **kwargs): |
| """ |
| Returns the number of points in the first linestring in the |
| Geometry field in a `num_points` attribute on each element of |
| this GeoQuerySet; otherwise sets with None. |
| """ |
| return self._spatial_attribute('num_points', {}, **kwargs) |
| |
| def perimeter(self, **kwargs): |
| """ |
| Returns the perimeter of the geometry field as a `Distance` object |
| stored in a `perimeter` attribute on each element of this GeoQuerySet. |
| """ |
| return self._distance_attribute('perimeter', None, **kwargs) |
| |
| def point_on_surface(self, **kwargs): |
| """ |
| Returns a Point geometry guaranteed to lie on the surface of the |
| Geometry field in a `point_on_surface` attribute on each element |
| of this GeoQuerySet; otherwise sets with None. |
| """ |
| return self._geom_attribute('point_on_surface', **kwargs) |
| |
| def scale(self, x, y, z=0.0, **kwargs): |
| """ |
| Scales the geometry to a new size by multiplying the ordinates |
| with the given x,y,z scale factors. |
| """ |
| s = {'procedure_fmt' : '%(geo_col)s,%(x)s,%(y)s,%(z)s', |
| 'procedure_args' : {'x' : x, 'y' : y, 'z' : z}, |
| 'select_field' : GeomField(), |
| } |
| return self._spatial_attribute('scale', s, **kwargs) |
| |
| def svg(self, **kwargs): |
| """ |
| Returns SVG representation of the geographic field in a `svg` |
| attribute on each element of this GeoQuerySet. |
| """ |
| s = {'desc' : 'SVG', |
| 'procedure_fmt' : '%(geo_col)s,%(rel)s,%(precision)s', |
| 'procedure_args' : {'rel' : int(kwargs.pop('relative', 0)), |
| 'precision' : kwargs.pop('precision', 8)}, |
| } |
| return self._spatial_attribute('svg', s, **kwargs) |
| |
| def sym_difference(self, geom, **kwargs): |
| """ |
| Returns the symmetric difference of the geographic field in a |
| `sym_difference` attribute on each element of this GeoQuerySet. |
| """ |
| return self._geomset_attribute('sym_difference', geom, **kwargs) |
| |
| def translate(self, x, y, z=0.0, **kwargs): |
| """ |
| Translates the geometry to a new location using the given numeric |
| parameters as offsets. |
| """ |
| s = {'procedure_fmt' : '%(geo_col)s,%(x)s,%(y)s,%(z)s', |
| 'procedure_args' : {'x' : x, 'y' : y, 'z' : z}, |
| 'select_field' : GeomField(), |
| } |
| return self._spatial_attribute('translate', s, **kwargs) |
| |
| def transform(self, srid=4326, **kwargs): |
| """ |
| Transforms the given geometry field to the given SRID. If no SRID is |
| provided, the transformation will default to using 4326 (WGS84). |
| """ |
| if not isinstance(srid, (int, long)): |
| raise TypeError('An integer SRID must be provided.') |
| field_name = kwargs.get('field_name', None) |
| tmp, geo_field = self._spatial_setup('transform', field_name=field_name) |
| |
| # Getting the selection SQL for the given geographic field. |
| field_col = self._geocol_select(geo_field, field_name) |
| |
| # Why cascading substitutions? Because spatial backends like |
| # Oracle and MySQL already require a function call to convert to text, thus |
| # when there's also a transformation we need to cascade the substitutions. |
| # For example, 'SDO_UTIL.TO_WKTGEOMETRY(SDO_CS.TRANSFORM( ... )' |
| geo_col = self.query.custom_select.get(geo_field, field_col) |
| |
| # Setting the key for the field's column with the custom SELECT SQL to |
| # override the geometry column returned from the database. |
| custom_sel = '%s(%s, %s)' % (SpatialBackend.transform, geo_col, srid) |
| # TODO: Should we have this as an alias? |
| # custom_sel = '(%s(%s, %s)) AS %s' % (SpatialBackend.transform, geo_col, srid, qn(geo_field.name)) |
| self.query.transformed_srid = srid # So other GeoQuerySet methods |
| self.query.custom_select[geo_field] = custom_sel |
| return self._clone() |
| |
| def union(self, geom, **kwargs): |
| """ |
| Returns the union of the geographic field with the given |
| Geometry in a `union` attribute on each element of this GeoQuerySet. |
| """ |
| return self._geomset_attribute('union', geom, **kwargs) |
| |
| def unionagg(self, **kwargs): |
| """ |
| Performs an aggregate union on the given geometry field. Returns |
| None if the GeoQuerySet is empty. The `tolerance` keyword is for |
| Oracle backends only. |
| """ |
| kwargs['agg_field'] = GeometryField |
| return self._spatial_aggregate('unionagg', **kwargs) |
| |
| ### Private API -- Abstracted DRY routines. ### |
| def _spatial_setup(self, att, aggregate=False, desc=None, field_name=None, geo_field_type=None): |
| """ |
| Performs set up for executing the spatial function. |
| """ |
| # Does the spatial backend support this? |
| func = getattr(SpatialBackend, att, False) |
| if desc is None: desc = att |
| if not func: raise ImproperlyConfigured('%s stored procedure not available.' % desc) |
| |
| # Initializing the procedure arguments. |
| procedure_args = {'function' : func} |
| |
| # Is there a geographic field in the model to perform this |
| # operation on? |
| geo_field = self.query._geo_field(field_name) |
| if not geo_field: |
| raise TypeError('%s output only available on GeometryFields.' % func) |
| |
| # If the `geo_field_type` keyword was used, then enforce that |
| # type limitation. |
| if not geo_field_type is None and not isinstance(geo_field, geo_field_type): |
| raise TypeError('"%s" stored procedures may only be called on %ss.' % (func, geo_field_type.__name__)) |
| |
| # Setting the procedure args. |
| procedure_args['geo_col'] = self._geocol_select(geo_field, field_name, aggregate) |
| |
| return procedure_args, geo_field |
| |
| def _spatial_aggregate(self, att, field_name=None, |
| agg_field=None, convert_func=None, |
| geo_field_type=None, tolerance=0.0005): |
| """ |
| DRY routine for calling aggregate spatial stored procedures and |
| returning their result to the caller of the function. |
| """ |
| # Constructing the setup keyword arguments. |
| setup_kwargs = {'aggregate' : True, |
| 'field_name' : field_name, |
| 'geo_field_type' : geo_field_type, |
| } |
| procedure_args, geo_field = self._spatial_setup(att, **setup_kwargs) |
| |
| if SpatialBackend.oracle: |
| procedure_args['tolerance'] = tolerance |
| # Adding in selection SQL for Oracle geometry columns. |
| if agg_field is GeometryField: |
| agg_sql = '%s' % SpatialBackend.select |
| else: |
| agg_sql = '%s' |
| agg_sql = agg_sql % ('%(function)s(SDOAGGRTYPE(%(geo_col)s,%(tolerance)s))' % procedure_args) |
| else: |
| agg_sql = '%(function)s(%(geo_col)s)' % procedure_args |
| |
| # Wrapping our selection SQL in `GeomSQL` to bypass quoting, and |
| # specifying the type of the aggregate field. |
| self.query.select = [GeomSQL(agg_sql)] |
| self.query.select_fields = [agg_field] |
| |
| try: |
| # `asql` => not overriding `sql` module. |
| asql, params = self.query.as_sql() |
| except sql.datastructures.EmptyResultSet: |
| return None |
| |
| # Getting a cursor, executing the query, and extracting the returned |
| # value from the aggregate function. |
| cursor = connection.cursor() |
| cursor.execute(asql, params) |
| result = cursor.fetchone()[0] |
| |
| # If the `agg_field` is specified as a GeometryField, then autmatically |
| # set up the conversion function. |
| if agg_field is GeometryField and not callable(convert_func): |
| if SpatialBackend.postgis: |
| def convert_geom(hex, geo_field): |
| if hex: return SpatialBackend.Geometry(hex) |
| else: return None |
| elif SpatialBackend.oracle: |
| def convert_geom(clob, geo_field): |
| if clob: return SpatialBackend.Geometry(clob.read(), geo_field._srid) |
| else: return None |
| convert_func = convert_geom |
| |
| # Returning the callback function evaluated on the result culled |
| # from the executed cursor. |
| if callable(convert_func): |
| return convert_func(result, geo_field) |
| else: |
| return result |
| |
| def _spatial_attribute(self, att, settings, field_name=None, model_att=None): |
| """ |
| DRY routine for calling a spatial stored procedure on a geometry column |
| and attaching its output as an attribute of the model. |
| |
| Arguments: |
| att: |
| The name of the spatial attribute that holds the spatial |
| SQL function to call. |
| |
| settings: |
| Dictonary of internal settings to customize for the spatial procedure. |
| |
| Public Keyword Arguments: |
| |
| field_name: |
| The name of the geographic field to call the spatial |
| function on. May also be a lookup to a geometry field |
| as part of a foreign key relation. |
| |
| model_att: |
| The name of the model attribute to attach the output of |
| the spatial function to. |
| """ |
| # Default settings. |
| settings.setdefault('desc', None) |
| settings.setdefault('geom_args', ()) |
| settings.setdefault('geom_field', None) |
| settings.setdefault('procedure_args', {}) |
| settings.setdefault('procedure_fmt', '%(geo_col)s') |
| settings.setdefault('select_params', []) |
| |
| # Performing setup for the spatial column, unless told not to. |
| if settings.get('setup', True): |
| default_args, geo_field = self._spatial_setup(att, desc=settings['desc'], field_name=field_name) |
| for k, v in default_args.iteritems(): settings['procedure_args'].setdefault(k, v) |
| else: |
| geo_field = settings['geo_field'] |
| |
| # The attribute to attach to the model. |
| if not isinstance(model_att, basestring): model_att = att |
| |
| # Special handling for any argument that is a geometry. |
| for name in settings['geom_args']: |
| # Using the field's get_db_prep_lookup() to get any needed |
| # transformation SQL -- we pass in a 'dummy' `contains` lookup. |
| where, params = geo_field.get_db_prep_lookup('contains', settings['procedure_args'][name]) |
| # Replacing the procedure format with that of any needed |
| # transformation SQL. |
| old_fmt = '%%(%s)s' % name |
| new_fmt = where[0] % '%%s' |
| settings['procedure_fmt'] = settings['procedure_fmt'].replace(old_fmt, new_fmt) |
| settings['select_params'].extend(params) |
| |
| # Getting the format for the stored procedure. |
| fmt = '%%(function)s(%s)' % settings['procedure_fmt'] |
| |
| # If the result of this function needs to be converted. |
| if settings.get('select_field', False): |
| sel_fld = settings['select_field'] |
| if isinstance(sel_fld, GeomField) and SpatialBackend.select: |
| self.query.custom_select[model_att] = SpatialBackend.select |
| self.query.extra_select_fields[model_att] = sel_fld |
| |
| # Finally, setting the extra selection attribute with |
| # the format string expanded with the stored procedure |
| # arguments. |
| return self.extra(select={model_att : fmt % settings['procedure_args']}, |
| select_params=settings['select_params']) |
| |
| 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. |
| if geo_field.geodetic: |
| dist_att = 'm' |
| else: |
| dist_att = Distance.unit_attname(geo_field._unit_name) |
| |
| # Shortcut booleans for what distance function we're using. |
| distance = func == 'distance' |
| length = func == 'length' |
| perimeter = func == 'perimeter' |
| if not (distance or length or perimeter): |
| raise ValueError('Unknown distance function: %s' % func) |
| |
| # 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] |
| |
| # If the spheroid calculation is desired, either by the `spheroid` |
| # keyword or wehn 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 (SpatialBackend.postgis and geo_field.geodetic and length): |
| lookup_params.append('spheroid') |
| where, params = geo_field.get_db_prep_lookup('distance_lte', lookup_params) |
| |
| # The `geom_args` flag is set to true if a geometry parameter was |
| # passed in. |
| geom_args = bool(geom) |
| |
| if SpatialBackend.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) |
| geodetic = unit_name in geo_field.geodetic_units |
| else: |
| geodetic = geo_field.geodetic |
| |
| 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)' % (SpatialBackend.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. |
| procedure_fmt += ', %%s' |
| else: |
| # We need to transform the geom to the srid specified in `transform()`, |
| # so wrapping the geometry placeholder in transformation SQL. |
| procedure_fmt += ', %s(%%%%s, %s)' % (SpatialBackend.transform, self.query.transformed_srid) |
| else: |
| # `transform()` was not used on this GeoQuerySet. |
| procedure_fmt = '%(geo_col)s,%(geom)s' |
| |
| if 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 isinstance(geo_field, PointField): |
| raise TypeError('Spherical distance calculation only supported on PointFields.') |
| if not str(SpatialBackend.Geometry(buffer(params[0].wkb)).geom_type) == 'Point': |
| raise TypeError('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' : SpatialBackend.distance_spheroid, 'spheroid' : where[1]}) |
| else: |
| procedure_args.update({'function' : SpatialBackend.distance_sphere}) |
| elif length or perimeter: |
| procedure_fmt = '%(geo_col)s' |
| if geodetic and length: |
| # There's no `length_sphere` |
| procedure_fmt += ',%(spheroid)s' |
| procedure_args.update({'function' : SpatialBackend.length_spheroid, 'spheroid' : where[1]}) |
| |
| # 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'] = [SpatialBackend.Adaptor(geom)] |
| return self._spatial_attribute(func, s, **kwargs) |
| |
| def _geom_attribute(self, func, tolerance=0.05, **kwargs): |
| """ |
| DRY routine for setting up a GeoQuerySet method that attaches a |
| Geometry attribute (e.g., `centroid`, `point_on_surface`). |
| """ |
| s = {'select_field' : GeomField(),} |
| if SpatialBackend.oracle: |
| s['procedure_fmt'] = '%(geo_col)s,%(tolerance)s' |
| s['procedure_args'] = {'tolerance' : tolerance} |
| return self._spatial_attribute(func, s, **kwargs) |
| |
| def _geomset_attribute(self, func, geom, tolerance=0.05, **kwargs): |
| """ |
| DRY routine for setting up a GeoQuerySet method that attaches a |
| Geometry attribute and takes a Geoemtry parameter. This is used |
| for geometry set-like operations (e.g., intersection, difference, |
| union, sym_difference). |
| """ |
| s = {'geom_args' : ('geom',), |
| 'select_field' : GeomField(), |
| 'procedure_fmt' : '%(geo_col)s,%(geom)s', |
| 'procedure_args' : {'geom' : geom}, |
| } |
| if SpatialBackend.oracle: |
| s['procedure_fmt'] += ',%(tolerance)s' |
| s['procedure_args']['tolerance'] = tolerance |
| return self._spatial_attribute(func, s, **kwargs) |
| |
| def _geocol_select(self, geo_field, field_name, aggregate=False): |
| """ |
| Helper routine for constructing the SQL to select the geographic |
| column. Takes into account if the geographic field is in a |
| ForeignKey relation to the current model. |
| """ |
| # If this is an aggregate spatial query, the flag needs to be |
| # set on the `GeoQuery` object of this queryset. |
| if aggregate: self.query.aggregate = True |
| |
| # Is this operation going to be on a related geographic field? |
| if not geo_field in self.model._meta.fields: |
| # If so, it'll have to be added to the select related information |
| # (e.g., if 'location__point' was given as the field name). |
| self.query.add_select_related([field_name]) |
| self.query.pre_sql_setup() |
| rel_table, rel_col = self.query.related_select_cols[self.query.related_select_fields.index(geo_field)] |
| return self.query._field_column(geo_field, rel_table) |
| else: |
| return self.query._field_column(geo_field) |
