QGIS/python/plugins/processing/algs/qgis/SaveSelectedFeatures.py
2017-07-07 09:27:35 +10:00

82 lines
3.0 KiB
Python

# -*- 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}