294 lines
12 KiB
Python
294 lines
12 KiB
Python
"""
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This module contains the spatial lookup types, and the `get_geo_where_clause`
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routine for Oracle Spatial.
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Please note that WKT support is broken on the XE version, and thus
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this backend will not work on such platforms. Specifically, XE lacks
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support for an internal JVM, and Java libraries are required to use
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the WKT constructors.
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"""
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import re
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from decimal import Decimal
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from django.db.backends.oracle.base import DatabaseOperations
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from django.contrib.gis.db.backends.base import BaseSpatialOperations
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from django.contrib.gis.db.backends.oracle.adapter import OracleSpatialAdapter
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from django.contrib.gis.db.backends.util import SpatialFunction
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from django.contrib.gis.geometry.backend import Geometry
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from django.contrib.gis.measure import Distance
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class SDOOperation(SpatialFunction):
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"Base class for SDO* Oracle operations."
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sql_template = "%(function)s(%(geo_col)s, %(geometry)s) %(operator)s '%(result)s'"
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def __init__(self, func, **kwargs):
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kwargs.setdefault('operator', '=')
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kwargs.setdefault('result', 'TRUE')
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super(SDOOperation, self).__init__(func, **kwargs)
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class SDODistance(SpatialFunction):
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"Class for Distance queries."
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sql_template = ('%(function)s(%(geo_col)s, %(geometry)s, %(tolerance)s) '
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'%(operator)s %(result)s')
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dist_func = 'SDO_GEOM.SDO_DISTANCE'
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def __init__(self, op, tolerance=0.05):
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super(SDODistance, self).__init__(self.dist_func,
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tolerance=tolerance,
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operator=op, result='%s')
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class SDODWithin(SpatialFunction):
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dwithin_func = 'SDO_WITHIN_DISTANCE'
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sql_template = "%(function)s(%(geo_col)s, %(geometry)s, %%s) = 'TRUE'"
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def __init__(self):
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super(SDODWithin, self).__init__(self.dwithin_func)
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class SDOGeomRelate(SpatialFunction):
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"Class for using SDO_GEOM.RELATE."
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relate_func = 'SDO_GEOM.RELATE'
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sql_template = ("%(function)s(%(geo_col)s, '%(mask)s', %(geometry)s, "
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"%(tolerance)s) %(operator)s '%(mask)s'")
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def __init__(self, mask, tolerance=0.05):
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# SDO_GEOM.RELATE(...) has a peculiar argument order: column, mask, geom, tolerance.
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# Moreover, the runction result is the mask (e.g., 'DISJOINT' instead of 'TRUE').
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super(SDOGeomRelate, self).__init__(self.relate_func, operator='=',
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mask=mask, tolerance=tolerance)
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class SDORelate(SpatialFunction):
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"Class for using SDO_RELATE."
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masks = 'TOUCH|OVERLAPBDYDISJOINT|OVERLAPBDYINTERSECT|EQUAL|INSIDE|COVEREDBY|CONTAINS|COVERS|ANYINTERACT|ON'
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mask_regex = re.compile(r'^(%s)(\+(%s))*$' % (masks, masks), re.I)
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sql_template = "%(function)s(%(geo_col)s, %(geometry)s, 'mask=%(mask)s') = 'TRUE'"
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relate_func = 'SDO_RELATE'
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def __init__(self, mask):
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if not self.mask_regex.match(mask):
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raise ValueError('Invalid %s mask: "%s"' % (self.relate_func, mask))
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super(SDORelate, self).__init__(self.relate_func, mask=mask)
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# Valid distance types and substitutions
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dtypes = (Decimal, Distance, float, int, long)
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class OracleOperations(DatabaseOperations, BaseSpatialOperations):
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compiler_module = "django.contrib.gis.db.backends.oracle.compiler"
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name = 'oracle'
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oracle = True
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valid_aggregates = dict([(a, None) for a in ('Union', 'Extent')])
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Adapter = OracleSpatialAdapter
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Adaptor = Adapter # Backwards-compatibility alias.
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area = 'SDO_GEOM.SDO_AREA'
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gml= 'SDO_UTIL.TO_GMLGEOMETRY'
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centroid = 'SDO_GEOM.SDO_CENTROID'
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difference = 'SDO_GEOM.SDO_DIFFERENCE'
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distance = 'SDO_GEOM.SDO_DISTANCE'
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extent= 'SDO_AGGR_MBR'
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intersection= 'SDO_GEOM.SDO_INTERSECTION'
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length = 'SDO_GEOM.SDO_LENGTH'
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num_geom = 'SDO_UTIL.GETNUMELEM'
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num_points = 'SDO_UTIL.GETNUMVERTICES'
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perimeter = length
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point_on_surface = 'SDO_GEOM.SDO_POINTONSURFACE'
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reverse = 'SDO_UTIL.REVERSE_LINESTRING'
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sym_difference = 'SDO_GEOM.SDO_XOR'
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transform = 'SDO_CS.TRANSFORM'
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union = 'SDO_GEOM.SDO_UNION'
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unionagg = 'SDO_AGGR_UNION'
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# We want to get SDO Geometries as WKT because it is much easier to
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# instantiate GEOS proxies from WKT than SDO_GEOMETRY(...) strings.
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# However, this adversely affects performance (i.e., Java is called
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# to convert to WKT on every query). If someone wishes to write a
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# SDO_GEOMETRY(...) parser in Python, let me know =)
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select = 'SDO_UTIL.TO_WKTGEOMETRY(%s)'
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distance_functions = {
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'distance_gt' : (SDODistance('>'), dtypes),
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'distance_gte' : (SDODistance('>='), dtypes),
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'distance_lt' : (SDODistance('<'), dtypes),
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'distance_lte' : (SDODistance('<='), dtypes),
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'dwithin' : (SDODWithin(), dtypes),
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}
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geometry_functions = {
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'contains' : SDOOperation('SDO_CONTAINS'),
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'coveredby' : SDOOperation('SDO_COVEREDBY'),
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'covers' : SDOOperation('SDO_COVERS'),
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'disjoint' : SDOGeomRelate('DISJOINT'),
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'intersects' : SDOOperation('SDO_OVERLAPBDYINTERSECT'), # TODO: Is this really the same as ST_Intersects()?
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'equals' : SDOOperation('SDO_EQUAL'),
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'exact' : SDOOperation('SDO_EQUAL'),
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'overlaps' : SDOOperation('SDO_OVERLAPS'),
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'same_as' : SDOOperation('SDO_EQUAL'),
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'relate' : (SDORelate, basestring), # Oracle uses a different syntax, e.g., 'mask=inside+touch'
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'touches' : SDOOperation('SDO_TOUCH'),
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'within' : SDOOperation('SDO_INSIDE'),
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}
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geometry_functions.update(distance_functions)
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gis_terms = ['isnull']
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gis_terms += geometry_functions.keys()
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gis_terms = dict([(term, None) for term in gis_terms])
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truncate_params = {'relate' : None}
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def __init__(self, connection):
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super(OracleOperations, self).__init__()
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self.connection = connection
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def convert_extent(self, clob):
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if clob:
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# Generally, Oracle returns a polygon for the extent -- however,
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# it can return a single point if there's only one Point in the
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# table.
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ext_geom = Geometry(clob.read())
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gtype = str(ext_geom.geom_type)
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if gtype == 'Polygon':
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# Construct the 4-tuple from the coordinates in the polygon.
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shell = ext_geom.shell
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ll, ur = shell[0][:2], shell[2][:2]
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elif gtype == 'Point':
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ll = ext_geom.coords[:2]
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ur = ll
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else:
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raise Exception('Unexpected geometry type returned for extent: %s' % gtype)
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xmin, ymin = ll
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xmax, ymax = ur
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return (xmin, ymin, xmax, ymax)
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else:
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return None
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def convert_geom(self, clob, geo_field):
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if clob:
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return Geometry(clob.read(), geo_field.srid)
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else:
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return None
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def geo_db_type(self, f):
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"""
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Returns the geometry database type for Oracle. Unlike other spatial
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backends, no stored procedure is necessary and it's the same for all
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geometry types.
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"""
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return 'MDSYS.SDO_GEOMETRY'
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def get_distance(self, f, value, lookup_type):
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"""
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Returns the distance parameters given the value and the lookup type.
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On Oracle, geometry columns with a geodetic coordinate system behave
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implicitly like a geography column, and thus meters will be used as
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the distance parameter on them.
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"""
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if not value:
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return []
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value = value[0]
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if isinstance(value, Distance):
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if f.geodetic(self.connection):
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dist_param = value.m
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else:
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dist_param = getattr(value, Distance.unit_attname(f.units_name(self.connection)))
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else:
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dist_param = value
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# dwithin lookups on oracle require a special string parameter
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# that starts with "distance=".
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if lookup_type == 'dwithin':
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dist_param = 'distance=%s' % dist_param
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return [dist_param]
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def get_geom_placeholder(self, f, value):
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"""
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Provides a proper substitution value for Geometries that are not in the
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SRID of the field. Specifically, this routine will substitute in the
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SDO_CS.TRANSFORM() function call.
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"""
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if value is None:
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return 'NULL'
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def transform_value(val, srid):
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return val.srid != srid
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if hasattr(value, 'expression'):
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if transform_value(value, f.srid):
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placeholder = '%s(%%s, %s)' % (self.transform, f.srid)
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else:
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placeholder = '%s'
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# No geometry value used for F expression, substitue in
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# the column name instead.
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return placeholder % '%s.%s' % tuple(map(self.quote_name, value.cols[value.expression]))
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else:
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if transform_value(value, f.srid):
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return '%s(SDO_GEOMETRY(%%s, %s), %s)' % (self.transform, value.srid, f.srid)
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else:
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return 'SDO_GEOMETRY(%%s, %s)' % f.srid
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def spatial_lookup_sql(self, lvalue, lookup_type, value, field, qn):
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"Returns the SQL WHERE clause for use in Oracle spatial SQL construction."
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alias, col, db_type = lvalue
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# Getting the quoted table name as `geo_col`.
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geo_col = '%s.%s' % (qn(alias), qn(col))
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# See if a Oracle Geometry function matches the lookup type next
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lookup_info = self.geometry_functions.get(lookup_type, False)
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if lookup_info:
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# Lookup types that are tuples take tuple arguments, e.g., 'relate' and
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# 'dwithin' lookup types.
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if isinstance(lookup_info, tuple):
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# First element of tuple is lookup type, second element is the type
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# of the expected argument (e.g., str, float)
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sdo_op, arg_type = lookup_info
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geom = value[0]
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# Ensuring that a tuple _value_ was passed in from the user
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if not isinstance(value, tuple):
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raise ValueError('Tuple required for `%s` lookup type.' % lookup_type)
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if len(value) != 2:
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raise ValueError('2-element tuple required for %s lookup type.' % lookup_type)
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# Ensuring the argument type matches what we expect.
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if not isinstance(value[1], arg_type):
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raise ValueError('Argument type should be %s, got %s instead.' % (arg_type, type(value[1])))
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if lookup_type == 'relate':
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# The SDORelate class handles construction for these queries,
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# and verifies the mask argument.
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return sdo_op(value[1]).as_sql(geo_col, self.get_geom_placeholder(field, geom))
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else:
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# Otherwise, just call the `as_sql` method on the SDOOperation instance.
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return sdo_op.as_sql(geo_col, self.get_geom_placeholder(field, geom))
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else:
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# Lookup info is a SDOOperation instance, whose `as_sql` method returns
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# the SQL necessary for the geometry function call. For example:
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# SDO_CONTAINS("geoapp_country"."poly", SDO_GEOMTRY('POINT(5 23)', 4326)) = 'TRUE'
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return lookup_info.as_sql(geo_col, self.get_geom_placeholder(field, value))
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elif lookup_type == 'isnull':
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# Handling 'isnull' lookup type
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return "%s IS %sNULL" % (geo_col, (not value and 'NOT ' or ''))
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raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type))
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def spatial_aggregate_sql(self, agg):
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"""
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Returns the spatial aggregate SQL template and function for the
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given Aggregate instance.
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"""
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agg_name = agg.__class__.__name__.lower()
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if agg_name == 'union' : agg_name += 'agg'
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if agg.is_extent:
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sql_template = '%(function)s(%(field)s)'
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else:
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sql_template = '%(function)s(SDOAGGRTYPE(%(field)s,%(tolerance)s))'
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sql_function = getattr(self, agg_name)
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return self.select % sql_template, sql_function
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# Routines for getting the OGC-compliant models.
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def geometry_columns(self):
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from django.contrib.gis.db.backends.oracle.models import GeometryColumns
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return GeometryColumns
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def spatial_ref_sys(self):
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from django.contrib.gis.db.backends.oracle.models import SpatialRefSys
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return SpatialRefSys
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