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Instead of returning a single QgsFeature from processFeature, we now return a list of features. This allows feature based algorithms which return multiple features per input feature, e.g. "explode" type algorithms which split a single input feature into multiple output features.
79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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DensifyGeometries.py
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---------------------
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Date : October 2012
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Copyright : (C) 2012 by Victor Olaya
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Email : volayaf at gmail dot com
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***************************************************************************
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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***************************************************************************
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"""
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__author__ = 'Victor Olaya'
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__date__ = 'October 2012'
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__copyright__ = '(C) 2012, Victor Olaya'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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import os
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from qgis.core import (QgsProcessingParameterNumber,
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QgsProcessing)
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from processing.algs.qgis.QgisAlgorithm import QgisFeatureBasedAlgorithm
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class DensifyGeometries(QgisFeatureBasedAlgorithm):
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VERTICES = 'VERTICES'
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def tags(self):
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return self.tr('add,vertex,vertices,points,nodes').split(',')
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def group(self):
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return self.tr('Vector geometry')
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def groupId(self):
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return 'vectorgeometry'
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def __init__(self):
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super().__init__()
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self.vertices = None
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def initParameters(self, config=None):
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self.addParameter(QgsProcessingParameterNumber(self.VERTICES,
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self.tr('Vertices to add'), QgsProcessingParameterNumber.Integer,
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1, False, 1, 10000000))
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def name(self):
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return 'densifygeometries'
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def displayName(self):
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return self.tr('Densify by count')
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def outputName(self):
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return self.tr('Densified')
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def inputLayerTypes(self):
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return [QgsProcessing.TypeVectorLine, QgsProcessing.TypeVectorPolygon]
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def prepareAlgorithm(self, parameters, context, feedback):
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self.vertices = self.parameterAsInt(parameters, self.VERTICES, context)
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return True
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def processFeature(self, feature, context, feedback):
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if feature.hasGeometry():
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new_geometry = feature.geometry().densifyByCount(self.vertices)
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feature.setGeometry(new_geometry)
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return [feature]
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