65 lines
2.6 KiB
Python
65 lines
2.6 KiB
Python
from django.contrib.gis.gdal import OGRGeomType
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from django.db.backends.sqlite3.introspection import DatabaseIntrospection, FlexibleFieldLookupDict
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from django.utils import six
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class GeoFlexibleFieldLookupDict(FlexibleFieldLookupDict):
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"""
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Sublcass that includes updates the `base_data_types_reverse` dict
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for geometry field types.
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"""
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base_data_types_reverse = FlexibleFieldLookupDict.base_data_types_reverse.copy()
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base_data_types_reverse.update(
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{'point': 'GeometryField',
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'linestring': 'GeometryField',
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'polygon': 'GeometryField',
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'multipoint': 'GeometryField',
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'multilinestring': 'GeometryField',
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'multipolygon': 'GeometryField',
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'geometrycollection': 'GeometryField',
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})
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class SpatiaLiteIntrospection(DatabaseIntrospection):
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data_types_reverse = GeoFlexibleFieldLookupDict()
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def get_geometry_type(self, table_name, geo_col):
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cursor = self.connection.cursor()
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try:
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# Querying the `geometry_columns` table to get additional metadata.
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type_col = 'type' if self.connection.ops.spatial_version < (4, 0, 0) else 'geometry_type'
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cursor.execute('SELECT coord_dimension, srid, %s '
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'FROM geometry_columns '
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'WHERE f_table_name=%%s AND f_geometry_column=%%s' % type_col,
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(table_name, geo_col))
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row = cursor.fetchone()
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if not row:
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raise Exception('Could not find a geometry column for "%s"."%s"' %
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(table_name, geo_col))
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# OGRGeomType does not require GDAL and makes it easy to convert
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# from OGC geom type name to Django field.
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field_type = OGRGeomType(row[2]).django
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# Getting any GeometryField keyword arguments that are not the default.
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dim = row[0]
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srid = row[1]
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field_params = {}
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if srid != 4326:
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field_params['srid'] = srid
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if isinstance(dim, six.string_types) and 'Z' in dim:
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field_params['dim'] = 3
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finally:
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cursor.close()
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return field_type, field_params
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def get_indexes(self, cursor, table_name):
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indexes = super(SpatiaLiteIntrospection, self).get_indexes(cursor, table_name)
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cursor.execute('SELECT f_geometry_column '
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'FROM geometry_columns '
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'WHERE f_table_name=%s AND spatial_index_enabled=1', (table_name,))
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for row in cursor.fetchall():
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indexes[row[0]] = {'primary_key': False, 'unique': False}
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return indexes
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