diff -r b758351d191f -r cc9b7e14412b web/lib/django/contrib/gis/db/backend/oracle/query.py --- a/web/lib/django/contrib/gis/db/backend/oracle/query.py Wed May 19 17:43:59 2010 +0200 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,154 +0,0 @@ -""" - This module contains the spatial lookup types, and the `get_geo_where_clause` - routine for Oracle Spatial. - - Please note that WKT support is broken on the XE version, and thus - this backend will not work on such platforms. Specifically, XE lacks - support for an internal JVM, and Java libraries are required to use - the WKT constructors. -""" -import re -from decimal import Decimal -from django.db import connection -from django.contrib.gis.db.backend.util import SpatialFunction -from django.contrib.gis.measure import Distance -qn = connection.ops.quote_name - -# The GML, distance, transform, and union procedures. -AREA = 'SDO_GEOM.SDO_AREA' -ASGML = 'SDO_UTIL.TO_GMLGEOMETRY' -CENTROID = 'SDO_GEOM.SDO_CENTROID' -DIFFERENCE = 'SDO_GEOM.SDO_DIFFERENCE' -DISTANCE = 'SDO_GEOM.SDO_DISTANCE' -EXTENT = 'SDO_AGGR_MBR' -INTERSECTION = 'SDO_GEOM.SDO_INTERSECTION' -LENGTH = 'SDO_GEOM.SDO_LENGTH' -NUM_GEOM = 'SDO_UTIL.GETNUMELEM' -NUM_POINTS = 'SDO_UTIL.GETNUMVERTICES' -POINT_ON_SURFACE = 'SDO_GEOM.SDO_POINTONSURFACE' -SYM_DIFFERENCE = 'SDO_GEOM.SDO_XOR' -TRANSFORM = 'SDO_CS.TRANSFORM' -UNION = 'SDO_GEOM.SDO_UNION' -UNIONAGG = 'SDO_AGGR_UNION' - -# We want to get SDO Geometries as WKT because it is much easier to -# instantiate GEOS proxies from WKT than SDO_GEOMETRY(...) strings. -# However, this adversely affects performance (i.e., Java is called -# to convert to WKT on every query). If someone wishes to write a -# SDO_GEOMETRY(...) parser in Python, let me know =) -GEOM_SELECT = 'SDO_UTIL.TO_WKTGEOMETRY(%s)' - -#### Classes used in constructing Oracle spatial SQL #### -class SDOOperation(SpatialFunction): - "Base class for SDO* Oracle operations." - def __init__(self, func, **kwargs): - kwargs.setdefault('operator', '=') - kwargs.setdefault('result', 'TRUE') - kwargs.setdefault('end_subst', ") %s '%s'") - super(SDOOperation, self).__init__(func, **kwargs) - -class SDODistance(SpatialFunction): - "Class for Distance queries." - def __init__(self, op, tolerance=0.05): - super(SDODistance, self).__init__(DISTANCE, end_subst=', %s) %%s %%s' % tolerance, - operator=op, result='%%s') - -class SDOGeomRelate(SpatialFunction): - "Class for using SDO_GEOM.RELATE." - def __init__(self, mask, tolerance=0.05): - # SDO_GEOM.RELATE(...) has a peculiar argument order: column, mask, geom, tolerance. - # Moreover, the runction result is the mask (e.g., 'DISJOINT' instead of 'TRUE'). - end_subst = "%s%s) %s '%s'" % (', %%s, ', tolerance, '=', mask) - beg_subst = "%%s(%%s, '%s'" % mask - super(SDOGeomRelate, self).__init__('SDO_GEOM.RELATE', beg_subst=beg_subst, end_subst=end_subst) - -class SDORelate(SpatialFunction): - "Class for using SDO_RELATE." - masks = 'TOUCH|OVERLAPBDYDISJOINT|OVERLAPBDYINTERSECT|EQUAL|INSIDE|COVEREDBY|CONTAINS|COVERS|ANYINTERACT|ON' - mask_regex = re.compile(r'^(%s)(\+(%s))*$' % (masks, masks), re.I) - def __init__(self, mask): - func = 'SDO_RELATE' - if not self.mask_regex.match(mask): - raise ValueError('Invalid %s mask: "%s"' % (func, mask)) - super(SDORelate, self).__init__(func, end_subst=", 'mask=%s') = 'TRUE'" % mask) - -#### Lookup type mapping dictionaries of Oracle spatial operations #### - -# Valid distance types and substitutions -dtypes = (Decimal, Distance, float, int, long) -DISTANCE_FUNCTIONS = { - 'distance_gt' : (SDODistance('>'), dtypes), - 'distance_gte' : (SDODistance('>='), dtypes), - 'distance_lt' : (SDODistance('<'), dtypes), - 'distance_lte' : (SDODistance('<='), dtypes), - 'dwithin' : (SDOOperation('SDO_WITHIN_DISTANCE', - beg_subst="%s(%s, %%s, 'distance=%%s'"), dtypes), - } - -ORACLE_GEOMETRY_FUNCTIONS = { - 'contains' : SDOOperation('SDO_CONTAINS'), - 'coveredby' : SDOOperation('SDO_COVEREDBY'), - 'covers' : SDOOperation('SDO_COVERS'), - 'disjoint' : SDOGeomRelate('DISJOINT'), - 'intersects' : SDOOperation('SDO_OVERLAPBDYINTERSECT'), # TODO: Is this really the same as ST_Intersects()? - 'equals' : SDOOperation('SDO_EQUAL'), - 'exact' : SDOOperation('SDO_EQUAL'), - 'overlaps' : SDOOperation('SDO_OVERLAPS'), - 'same_as' : SDOOperation('SDO_EQUAL'), - 'relate' : (SDORelate, basestring), # Oracle uses a different syntax, e.g., 'mask=inside+touch' - 'touches' : SDOOperation('SDO_TOUCH'), - 'within' : SDOOperation('SDO_INSIDE'), - } -ORACLE_GEOMETRY_FUNCTIONS.update(DISTANCE_FUNCTIONS) - -# This lookup type does not require a mapping. -MISC_TERMS = ['isnull'] - -# Acceptable lookup types for Oracle spatial. -ORACLE_SPATIAL_TERMS = ORACLE_GEOMETRY_FUNCTIONS.keys() -ORACLE_SPATIAL_TERMS += MISC_TERMS -ORACLE_SPATIAL_TERMS = dict((term, None) for term in ORACLE_SPATIAL_TERMS) # Making dictionary for fast lookups - -#### The `get_geo_where_clause` function for Oracle #### -def get_geo_where_clause(table_alias, name, lookup_type, geo_annot): - "Returns the SQL WHERE clause for use in Oracle spatial SQL construction." - # Getting the quoted table name as `geo_col`. - geo_col = '%s.%s' % (qn(table_alias), qn(name)) - - # See if a Oracle Geometry function matches the lookup type next - lookup_info = ORACLE_GEOMETRY_FUNCTIONS.get(lookup_type, False) - if lookup_info: - # Lookup types that are tuples take tuple arguments, e.g., 'relate' and - # 'dwithin' lookup types. - if isinstance(lookup_info, tuple): - # First element of tuple is lookup type, second element is the type - # of the expected argument (e.g., str, float) - sdo_op, arg_type = lookup_info - - # Ensuring that a tuple _value_ was passed in from the user - if not isinstance(geo_annot.value, tuple): - raise TypeError('Tuple required for `%s` lookup type.' % lookup_type) - if len(geo_annot.value) != 2: - raise ValueError('2-element tuple required for %s lookup type.' % lookup_type) - - # Ensuring the argument type matches what we expect. - if not isinstance(geo_annot.value[1], arg_type): - raise TypeError('Argument type should be %s, got %s instead.' % (arg_type, type(geo_annot.value[1]))) - - if lookup_type == 'relate': - # The SDORelate class handles construction for these queries, - # and verifies the mask argument. - return sdo_op(geo_annot.value[1]).as_sql(geo_col) - else: - # Otherwise, just call the `as_sql` method on the SDOOperation instance. - return sdo_op.as_sql(geo_col) - else: - # Lookup info is a SDOOperation instance, whose `as_sql` method returns - # the SQL necessary for the geometry function call. For example: - # SDO_CONTAINS("geoapp_country"."poly", SDO_GEOMTRY('POINT(5 23)', 4326)) = 'TRUE' - return lookup_info.as_sql(geo_col) - elif lookup_type == 'isnull': - # Handling 'isnull' lookup type - return "%s IS %sNULL" % (geo_col, (not geo_annot.value and 'NOT ' or '')) - - raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type))