590 lines
25 KiB
Python
590 lines
25 KiB
Python
import re
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from decimal import Decimal
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from django.conf import settings
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from django.contrib.gis.db.backends.base import BaseSpatialOperations
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from django.contrib.gis.db.backends.util import SpatialOperation, SpatialFunction
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from django.contrib.gis.db.backends.postgis.adapter import PostGISAdapter
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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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from django.core.exceptions import ImproperlyConfigured
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from django.db.backends.postgresql_psycopg2.base import DatabaseOperations
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from django.db.utils import DatabaseError
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#### Classes used in constructing PostGIS spatial SQL ####
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class PostGISOperator(SpatialOperation):
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"For PostGIS operators (e.g. `&&`, `~`)."
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def __init__(self, operator):
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super(PostGISOperator, self).__init__(operator=operator)
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class PostGISFunction(SpatialFunction):
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"For PostGIS function calls (e.g., `ST_Contains(table, geom)`)."
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def __init__(self, prefix, function, **kwargs):
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super(PostGISFunction, self).__init__(prefix + function, **kwargs)
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class PostGISFunctionParam(PostGISFunction):
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"For PostGIS functions that take another parameter (e.g. DWithin, Relate)."
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sql_template = '%(function)s(%(geo_col)s, %(geometry)s, %%s)'
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class PostGISDistance(PostGISFunction):
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"For PostGIS distance operations."
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dist_func = 'Distance'
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sql_template = '%(function)s(%(geo_col)s, %(geometry)s) %(operator)s %%s'
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def __init__(self, prefix, operator):
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super(PostGISDistance, self).__init__(prefix, self.dist_func,
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operator=operator)
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class PostGISSpheroidDistance(PostGISFunction):
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"For PostGIS spherical distance operations (using the spheroid)."
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dist_func = 'distance_spheroid'
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sql_template = '%(function)s(%(geo_col)s, %(geometry)s, %%s) %(operator)s %%s'
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def __init__(self, prefix, operator):
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# An extra parameter in `end_subst` is needed for the spheroid string.
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super(PostGISSpheroidDistance, self).__init__(prefix, self.dist_func,
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operator=operator)
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class PostGISSphereDistance(PostGISDistance):
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"For PostGIS spherical distance operations."
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dist_func = 'distance_sphere'
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class PostGISRelate(PostGISFunctionParam):
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"For PostGIS Relate(<geom>, <pattern>) calls."
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pattern_regex = re.compile(r'^[012TF\*]{9}$')
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def __init__(self, prefix, pattern):
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if not self.pattern_regex.match(pattern):
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raise ValueError('Invalid intersection matrix pattern "%s".' % pattern)
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super(PostGISRelate, self).__init__(prefix, 'Relate')
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class PostGISOperations(DatabaseOperations, BaseSpatialOperations):
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compiler_module = 'django.contrib.gis.db.models.sql.compiler'
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name = 'postgis'
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postgis = True
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version_regex = re.compile(r'^(?P<major>\d)\.(?P<minor1>\d)\.(?P<minor2>\d+)')
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valid_aggregates = dict([(k, None) for k in
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('Collect', 'Extent', 'Extent3D', 'MakeLine', 'Union')])
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Adapter = PostGISAdapter
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Adaptor = Adapter # Backwards-compatibility alias.
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def __init__(self, connection):
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super(PostGISOperations, self).__init__(connection)
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# Trying to get the PostGIS version because the function
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# signatures will depend on the version used. The cost
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# here is a database query to determine the version, which
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# can be mitigated by setting `POSTGIS_VERSION` with a 3-tuple
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# comprising user-supplied values for the major, minor, and
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# subminor revision of PostGIS.
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try:
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if hasattr(settings, 'POSTGIS_VERSION'):
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vtup = settings.POSTGIS_VERSION
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if len(vtup) == 3:
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# The user-supplied PostGIS version.
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version = vtup
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else:
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# This was the old documented way, but it's stupid to
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# include the string.
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version = vtup[1:4]
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else:
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vtup = self.postgis_version_tuple()
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version = vtup[1:]
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# Getting the prefix -- even though we don't officially support
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# PostGIS 1.2 anymore, keeping it anyway in case a prefix change
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# for something else is necessary.
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if version >= (1, 2, 2):
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prefix = 'ST_'
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else:
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prefix = ''
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self.geom_func_prefix = prefix
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self.spatial_version = version
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except DatabaseError:
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raise ImproperlyConfigured('Cannot determine PostGIS version for database "%s". '
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'GeoDjango requires at least PostGIS version 1.3. '
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'Was the database created from a spatial database '
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'template?' % self.connection.settings_dict['NAME']
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)
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except Exception, e:
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# TODO: Raise helpful exceptions as they become known.
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raise
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# PostGIS-specific operators. The commented descriptions of these
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# operators come from Section 7.6 of the PostGIS 1.4 documentation.
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self.geometry_operators = {
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# The "&<" operator returns true if A's bounding box overlaps or
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# is to the left of B's bounding box.
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'overlaps_left' : PostGISOperator('&<'),
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# The "&>" operator returns true if A's bounding box overlaps or
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# is to the right of B's bounding box.
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'overlaps_right' : PostGISOperator('&>'),
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# The "<<" operator returns true if A's bounding box is strictly
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# to the left of B's bounding box.
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'left' : PostGISOperator('<<'),
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# The ">>" operator returns true if A's bounding box is strictly
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# to the right of B's bounding box.
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'right' : PostGISOperator('>>'),
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# The "&<|" operator returns true if A's bounding box overlaps or
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# is below B's bounding box.
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'overlaps_below' : PostGISOperator('&<|'),
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# The "|&>" operator returns true if A's bounding box overlaps or
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# is above B's bounding box.
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'overlaps_above' : PostGISOperator('|&>'),
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# The "<<|" operator returns true if A's bounding box is strictly
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# below B's bounding box.
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'strictly_below' : PostGISOperator('<<|'),
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# The "|>>" operator returns true if A's bounding box is strictly
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# above B's bounding box.
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'strictly_above' : PostGISOperator('|>>'),
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# The "~=" operator is the "same as" operator. It tests actual
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# geometric equality of two features. So if A and B are the same feature,
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# vertex-by-vertex, the operator returns true.
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'same_as' : PostGISOperator('~='),
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'exact' : PostGISOperator('~='),
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# The "@" operator returns true if A's bounding box is completely contained
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# by B's bounding box.
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'contained' : PostGISOperator('@'),
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# The "~" operator returns true if A's bounding box completely contains
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# by B's bounding box.
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'bbcontains' : PostGISOperator('~'),
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# The "&&" operator returns true if A's bounding box overlaps
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# B's bounding box.
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'bboverlaps' : PostGISOperator('&&'),
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}
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self.geometry_functions = {
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'equals' : PostGISFunction(prefix, 'Equals'),
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'disjoint' : PostGISFunction(prefix, 'Disjoint'),
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'touches' : PostGISFunction(prefix, 'Touches'),
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'crosses' : PostGISFunction(prefix, 'Crosses'),
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'within' : PostGISFunction(prefix, 'Within'),
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'overlaps' : PostGISFunction(prefix, 'Overlaps'),
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'contains' : PostGISFunction(prefix, 'Contains'),
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'intersects' : PostGISFunction(prefix, 'Intersects'),
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'relate' : (PostGISRelate, basestring),
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}
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# Valid distance types and substitutions
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dtypes = (Decimal, Distance, float, int, long)
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def get_dist_ops(operator):
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"Returns operations for both regular and spherical distances."
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return {'cartesian' : PostGISDistance(prefix, operator),
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'sphere' : PostGISSphereDistance(prefix, operator),
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'spheroid' : PostGISSpheroidDistance(prefix, operator),
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}
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self.distance_functions = {
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'distance_gt' : (get_dist_ops('>'), dtypes),
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'distance_gte' : (get_dist_ops('>='), dtypes),
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'distance_lt' : (get_dist_ops('<'), dtypes),
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'distance_lte' : (get_dist_ops('<='), dtypes),
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}
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# Versions 1.2.2+ have KML serialization support.
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if version < (1, 2, 2):
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ASKML = False
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else:
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ASKML = 'ST_AsKML'
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self.geometry_functions.update(
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{'coveredby' : PostGISFunction(prefix, 'CoveredBy'),
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'covers' : PostGISFunction(prefix, 'Covers'),
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})
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self.distance_functions['dwithin'] = (PostGISFunctionParam(prefix, 'DWithin'), dtypes)
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# Adding the distance functions to the geometries lookup.
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self.geometry_functions.update(self.distance_functions)
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# The union aggregate and topology operation use the same signature
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# in versions 1.3+.
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if version < (1, 3, 0):
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UNIONAGG = 'GeomUnion'
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UNION = 'Union'
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MAKELINE = False
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else:
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UNIONAGG = 'ST_Union'
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UNION = 'ST_Union'
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MAKELINE = 'ST_MakeLine'
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# Only PostGIS versions 1.3.4+ have GeoJSON serialization support.
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if version < (1, 3, 4):
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GEOJSON = False
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else:
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GEOJSON = prefix + 'AsGeoJson'
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# ST_ContainsProperly ST_MakeLine, and ST_GeoHash added in 1.4.
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if version >= (1, 4, 0):
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GEOHASH = 'ST_GeoHash'
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BOUNDINGCIRCLE = 'ST_MinimumBoundingCircle'
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self.geometry_functions['contains_properly'] = PostGISFunction(prefix, 'ContainsProperly')
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else:
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GEOHASH, BOUNDINGCIRCLE = False, False
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# Geography type support added in 1.5.
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if version >= (1, 5, 0):
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self.geography = True
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# Only a subset of the operators and functions are available
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# for the geography type.
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self.geography_functions = self.distance_functions.copy()
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self.geography_functions.update({
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'coveredby' : self.geometry_functions['coveredby'],
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'covers' : self.geometry_functions['covers'],
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'intersects' : self.geometry_functions['intersects'],
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})
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self.geography_operators = {
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'bboverlaps' : PostGISOperator('&&'),
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}
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# Creating a dictionary lookup of all GIS terms for PostGIS.
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gis_terms = ['isnull']
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gis_terms += self.geometry_operators.keys()
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gis_terms += self.geometry_functions.keys()
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self.gis_terms = dict([(term, None) for term in gis_terms])
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self.area = prefix + 'Area'
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self.bounding_circle = BOUNDINGCIRCLE
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self.centroid = prefix + 'Centroid'
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self.collect = prefix + 'Collect'
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self.difference = prefix + 'Difference'
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self.distance = prefix + 'Distance'
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self.distance_sphere = prefix + 'distance_sphere'
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self.distance_spheroid = prefix + 'distance_spheroid'
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self.envelope = prefix + 'Envelope'
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self.extent = prefix + 'Extent'
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self.extent3d = prefix + 'Extent3D'
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self.force_rhr = prefix + 'ForceRHR'
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self.geohash = GEOHASH
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self.geojson = GEOJSON
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self.gml = prefix + 'AsGML'
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self.intersection = prefix + 'Intersection'
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self.kml = ASKML
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self.length = prefix + 'Length'
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self.length3d = prefix + 'Length3D'
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self.length_spheroid = prefix + 'length_spheroid'
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self.makeline = MAKELINE
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self.mem_size = prefix + 'mem_size'
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self.num_geom = prefix + 'NumGeometries'
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self.num_points =prefix + 'npoints'
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self.perimeter = prefix + 'Perimeter'
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self.perimeter3d = prefix + 'Perimeter3D'
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self.point_on_surface = prefix + 'PointOnSurface'
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self.polygonize = prefix + 'Polygonize'
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self.reverse = prefix + 'Reverse'
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self.scale = prefix + 'Scale'
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self.snap_to_grid = prefix + 'SnapToGrid'
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self.svg = prefix + 'AsSVG'
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self.sym_difference = prefix + 'SymDifference'
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self.transform = prefix + 'Transform'
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self.translate = prefix + 'Translate'
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self.union = UNION
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self.unionagg = UNIONAGG
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def check_aggregate_support(self, aggregate):
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"""
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Checks if the given aggregate name is supported (that is, if it's
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in `self.valid_aggregates`).
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"""
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agg_name = aggregate.__class__.__name__
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return agg_name in self.valid_aggregates
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def convert_extent(self, box):
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"""
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Returns a 4-tuple extent for the `Extent` aggregate by converting
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the bounding box text returned by PostGIS (`box` argument), for
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example: "BOX(-90.0 30.0, -85.0 40.0)".
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"""
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ll, ur = box[4:-1].split(',')
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xmin, ymin = map(float, ll.split())
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xmax, ymax = map(float, ur.split())
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return (xmin, ymin, xmax, ymax)
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def convert_extent3d(self, box3d):
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"""
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Returns a 6-tuple extent for the `Extent3D` aggregate by converting
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the 3d bounding-box text returnded by PostGIS (`box3d` argument), for
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example: "BOX3D(-90.0 30.0 1, -85.0 40.0 2)".
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"""
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ll, ur = box3d[6:-1].split(',')
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xmin, ymin, zmin = map(float, ll.split())
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xmax, ymax, zmax = map(float, ur.split())
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return (xmin, ymin, zmin, xmax, ymax, zmax)
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def convert_geom(self, hex, geo_field):
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"""
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Converts the geometry returned from PostGIS aggretates.
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"""
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if hex:
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return Geometry(hex)
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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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Return the database field type for the given geometry field.
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Typically this is `None` because geometry columns are added via
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the `AddGeometryColumn` stored procedure, unless the field
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has been specified to be of geography type instead.
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"""
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if f.geography:
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if not self.geography:
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raise NotImplementedError('PostGIS 1.5 required for geography column support.')
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if f.srid != 4326:
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raise NotImplementedError('PostGIS 1.5 supports geography columns '
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'only with an SRID of 4326.')
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return 'geography(%s,%d)'% (f.geom_type, f.srid)
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else:
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return None
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def get_distance(self, f, dist_val, lookup_type):
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"""
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Retrieve the distance parameters for the given geometry field,
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distance lookup value, and the distance lookup type.
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This is the most complex implementation of the spatial backends due to
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what is supported on geodetic geometry columns vs. what's available on
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projected geometry columns. In addition, it has to take into account
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the newly introduced geography column type introudced in PostGIS 1.5.
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"""
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# Getting the distance parameter and any options.
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if len(dist_val) == 1:
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value, option = dist_val[0], None
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else:
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value, option = dist_val
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# Shorthand boolean flags.
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geodetic = f.geodetic(self.connection)
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geography = f.geography and self.geography
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if isinstance(value, Distance):
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if geography:
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dist_param = value.m
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elif geodetic:
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if lookup_type == 'dwithin':
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raise ValueError('Only numeric values of degree units are '
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'allowed on geographic DWithin queries.')
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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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# Assuming the distance is in the units of the field.
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dist_param = value
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if (not geography and geodetic and lookup_type != 'dwithin'
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and option == 'spheroid'):
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# using distance_spheroid requires the spheroid of the field as
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# a parameter.
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return [f._spheroid, dist_param]
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else:
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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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ST_Transform() function call.
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"""
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if value is None or value.srid == f.srid:
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placeholder = '%s'
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else:
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# Adding Transform() to the SQL placeholder.
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placeholder = '%s(%%s, %s)' % (self.transform, f.srid)
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if hasattr(value, 'expression'):
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# If this is an F expression, then we don't really want
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# a placeholder and instead substitute in the column
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# of the expression.
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placeholder = placeholder % '%s.%s' % tuple(map(self.quote_name, value.cols[value.expression]))
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return placeholder
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def _get_postgis_func(self, func):
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"""
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Helper routine for calling PostGIS functions and returning their result.
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"""
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cursor = self.connection._cursor()
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try:
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try:
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cursor.execute('SELECT %s()' % func)
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row = cursor.fetchone()
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except:
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# Responsibility of callers to perform error handling.
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raise
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finally:
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# Close out the connection. See #9437.
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self.connection.close()
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return row[0]
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def postgis_geos_version(self):
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"Returns the version of the GEOS library used with PostGIS."
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return self._get_postgis_func('postgis_geos_version')
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def postgis_lib_version(self):
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"Returns the version number of the PostGIS library used with PostgreSQL."
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return self._get_postgis_func('postgis_lib_version')
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def postgis_proj_version(self):
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"Returns the version of the PROJ.4 library used with PostGIS."
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return self._get_postgis_func('postgis_proj_version')
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def postgis_version(self):
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"Returns PostGIS version number and compile-time options."
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return self._get_postgis_func('postgis_version')
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def postgis_full_version(self):
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"Returns PostGIS version number and compile-time options."
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return self._get_postgis_func('postgis_full_version')
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def postgis_version_tuple(self):
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"""
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Returns the PostGIS version as a tuple (version string, major,
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minor, subminor).
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"""
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# Getting the PostGIS version
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version = self.postgis_lib_version()
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m = self.version_regex.match(version)
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if m:
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major = int(m.group('major'))
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minor1 = int(m.group('minor1'))
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minor2 = int(m.group('minor2'))
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else:
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raise Exception('Could not parse PostGIS version string: %s' % version)
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return (version, major, minor1, minor2)
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def proj_version_tuple(self):
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"""
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Return the version of PROJ.4 used by PostGIS as a tuple of the
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major, minor, and subminor release numbers.
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"""
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proj_regex = re.compile(r'(\d+)\.(\d+)\.(\d+)')
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proj_ver_str = self.postgis_proj_version()
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m = proj_regex.search(proj_ver_str)
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if m:
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return tuple(map(int, [m.group(1), m.group(2), m.group(3)]))
|
|
else:
|
|
raise Exception('Could not determine PROJ.4 version from PostGIS.')
|
|
|
|
def num_params(self, lookup_type, num_param):
|
|
"""
|
|
Helper routine that returns a boolean indicating whether the number of
|
|
parameters is correct for the lookup type.
|
|
"""
|
|
def exactly_two(np): return np == 2
|
|
def two_to_three(np): return np >= 2 and np <=3
|
|
if (lookup_type in self.distance_functions and
|
|
lookup_type != 'dwithin'):
|
|
return two_to_three(num_param)
|
|
else:
|
|
return exactly_two(num_param)
|
|
|
|
def spatial_lookup_sql(self, lvalue, lookup_type, value, field, qn):
|
|
"""
|
|
Constructs spatial SQL from the given lookup value tuple a
|
|
(alias, col, db_type), the lookup type string, lookup value, and
|
|
the geometry field.
|
|
"""
|
|
alias, col, db_type = lvalue
|
|
|
|
# Getting the quoted geometry column.
|
|
geo_col = '%s.%s' % (qn(alias), qn(col))
|
|
|
|
if lookup_type in self.geometry_operators:
|
|
if field.geography and not lookup_type in self.geography_operators:
|
|
raise ValueError('PostGIS geography does not support the '
|
|
'"%s" lookup.' % lookup_type)
|
|
# Handling a PostGIS operator.
|
|
op = self.geometry_operators[lookup_type]
|
|
return op.as_sql(geo_col, self.get_geom_placeholder(field, value))
|
|
elif lookup_type in self.geometry_functions:
|
|
if field.geography and not lookup_type in self.geography_functions:
|
|
raise ValueError('PostGIS geography type does not support the '
|
|
'"%s" lookup.' % lookup_type)
|
|
|
|
# See if a PostGIS geometry function matches the lookup type.
|
|
tmp = self.geometry_functions[lookup_type]
|
|
|
|
# Lookup types that are tuples take tuple arguments, e.g., 'relate' and
|
|
# distance lookups.
|
|
if isinstance(tmp, tuple):
|
|
# First element of tuple is the PostGISOperation instance, and the
|
|
# second element is either the type or a tuple of acceptable types
|
|
# that may passed in as further parameters for the lookup type.
|
|
op, arg_type = tmp
|
|
|
|
# Ensuring that a tuple _value_ was passed in from the user
|
|
if not isinstance(value, (tuple, list)):
|
|
raise ValueError('Tuple required for `%s` lookup type.' % lookup_type)
|
|
|
|
# Geometry is first element of lookup tuple.
|
|
geom = value[0]
|
|
|
|
# Number of valid tuple parameters depends on the lookup type.
|
|
nparams = len(value)
|
|
if not self.num_params(lookup_type, nparams):
|
|
raise ValueError('Incorrect number of parameters given for `%s` lookup type.' % lookup_type)
|
|
|
|
# Ensuring the argument type matches what we expect.
|
|
if not isinstance(value[1], arg_type):
|
|
raise ValueError('Argument type should be %s, got %s instead.' % (arg_type, type(value[1])))
|
|
|
|
# For lookup type `relate`, the op instance is not yet created (has
|
|
# to be instantiated here to check the pattern parameter).
|
|
if lookup_type == 'relate':
|
|
op = op(self.geom_func_prefix, value[1])
|
|
elif lookup_type in self.distance_functions and lookup_type != 'dwithin':
|
|
if not field.geography and field.geodetic(self.connection):
|
|
# Geodetic distances are only availble from Points to
|
|
# PointFields on PostGIS 1.4 and below.
|
|
if not self.connection.ops.geography:
|
|
if field.geom_type != 'POINT':
|
|
raise ValueError('PostGIS spherical operations are only valid on PointFields.')
|
|
|
|
if str(geom.geom_type) != 'Point':
|
|
raise ValueError('PostGIS geometry distance parameter is required to be of type Point.')
|
|
|
|
# Setting up the geodetic operation appropriately.
|
|
if nparams == 3 and value[2] == 'spheroid':
|
|
op = op['spheroid']
|
|
else:
|
|
op = op['sphere']
|
|
else:
|
|
op = op['cartesian']
|
|
else:
|
|
op = tmp
|
|
geom = value
|
|
|
|
# Calling the `as_sql` function on the operation instance.
|
|
return op.as_sql(geo_col, self.get_geom_placeholder(field, geom))
|
|
|
|
elif lookup_type == 'isnull':
|
|
# Handling 'isnull' lookup type
|
|
return "%s IS %sNULL" % (geo_col, (not value and 'NOT ' or ''))
|
|
|
|
raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type))
|
|
|
|
def spatial_aggregate_sql(self, agg):
|
|
"""
|
|
Returns the spatial aggregate SQL template and function for the
|
|
given Aggregate instance.
|
|
"""
|
|
agg_name = agg.__class__.__name__
|
|
if not self.check_aggregate_support(agg):
|
|
raise NotImplementedError('%s spatial aggregate is not implmented for this backend.' % agg_name)
|
|
agg_name = agg_name.lower()
|
|
if agg_name == 'union': agg_name += 'agg'
|
|
sql_template = '%(function)s(%(field)s)'
|
|
sql_function = getattr(self, agg_name)
|
|
return sql_template, sql_function
|
|
|
|
# Routines for getting the OGC-compliant models.
|
|
def geometry_columns(self):
|
|
from django.contrib.gis.db.backends.postgis.models import GeometryColumns
|
|
return GeometryColumns
|
|
|
|
def spatial_ref_sys(self):
|
|
from django.contrib.gis.db.backends.postgis.models import SpatialRefSys
|
|
return SpatialRefSys
|