# -*- coding: utf-8 -*- """ *************************************************************************** SaveSelectedFeatures.py --------------------- Date : August 2012 Copyright : (C) 2012 by Victor Olaya Email : volayaf 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__ = 'Victor Olaya' __date__ = 'August 2012' __copyright__ = '(C) 2012, Victor Olaya' # This will get replaced with a git SHA1 when you do a git archive __revision__ = '$Format:%H$' from qgis.core import (QgsFeatureSink, QgsProcessingParameterVectorLayer, QgsProcessingParameterFeatureSink, QgsProcessingOutputVectorLayer) from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm class SaveSelectedFeatures(QgisAlgorithm): OUTPUT = 'OUTPUT' INPUT = 'INPUT' def group(self): return self.tr('Vector general tools') def __init__(self): super().__init__() self.addParameter(QgsProcessingParameterVectorLayer(self.INPUT, self.tr('Input layer'))) self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, self.tr('Selection'))) self.addOutput(QgsProcessingOutputVectorLayer(self.OUTPUT, self.tr("Selection"))) self.vectorLayer = None self.sink = None self.dest_id = None def name(self): return 'saveselectedfeatures' def displayName(self): return self.tr('Save selected features') def prepareAlgorithm(self, parameters, context, feedback): self.vectorLayer = self.parameterAsVectorLayer(parameters, self.INPUT, context) (self.sink, self.dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context, self.vectorLayer.fields(), self.vectorLayer.wkbType(), self.vectorLayer.sourceCrs()) return True def processAlgorithm(self, context, feedback): features = self.vectorLayer.getSelectedFeatures() count = int(self.vectorLayer.selectedFeatureCount()) total = 100.0 / count if count else 1 for current, feat in enumerate(features): if feedback.isCanceled(): break self.sink.addFeature(feat, QgsFeatureSink.FastInsert) feedback.setProgress(int(current * total)) return True def postProcessAlgorithm(self, context, feedback): return {self.OUTPUT: self.dest_id}