# -*- coding: utf-8 -*- """ *************************************************************************** DropGeometry.py -------------- Date : November 2016 Copyright : (C) 2016 by Nyall Dawson Email : nyall dot dawson at gmail dot com *************************************************************************** * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * *************************************************************************** """ __author__ = 'Nyall Dawson' __date__ = 'November 2016' __copyright__ = '(C) 2016, Nyall Dawson' # This will get replaced with a git SHA1 when you do a git archive323 __revision__ = '$Format:%H$' from qgis.core import QgsFeatureRequest, QgsWkbTypes, QgsCoordinateReferenceSystem from processing.core.GeoAlgorithm import GeoAlgorithm from processing.core.parameters import ParameterVector from processing.core.outputs import OutputVector from processing.tools import dataobjects, vector class DropGeometry(GeoAlgorithm): INPUT_LAYER = 'INPUT_LAYER' OUTPUT_TABLE = 'OUTPUT_TABLE' def defineCharacteristics(self): self.name, self.i18n_name = self.trAlgorithm('Drop geometries') self.group, self.i18n_group = self.trAlgorithm('Vector general tools') self.tags = self.tr('remove,drop,delete,geometry,objects') self.addParameter(ParameterVector(self.INPUT_LAYER, self.tr('Input layer'), [dataobjects.TYPE_VECTOR_POINT, dataobjects.TYPE_VECTOR_LINE, dataobjects.TYPE_VECTOR_POLYGON])) self.addOutput(OutputVector(self.OUTPUT_TABLE, self.tr('Dropped geometry'))) def processAlgorithm(self, feedback): layer = dataobjects.getObjectFromUri( self.getParameterValue(self.INPUT_LAYER)) writer = self.getOutputFromName( self.OUTPUT_TABLE).getVectorWriter( layer.fields(), QgsWkbTypes.NoGeometry, QgsCoordinateReferenceSystem()) request = QgsFeatureRequest().setFlags(QgsFeatureRequest.NoGeometry) features = vector.features(layer, request) total = 100.0 / len(features) for current, input_feature in enumerate(features): writer.addFeature(input_feature) feedback.setProgress(int(current * total)) del writer