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Also allow feature based algorithms to customise their appectable input layers types and set suitable filters for all applicable algorithms
73 lines
2.6 KiB
Python
73 lines
2.6 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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DensifyGeometriesInterval.py by Anita Graser, Dec 2012
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based on 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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from builtins import range
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__author__ = 'Anita Graser'
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__date__ = 'Dec 2012'
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__copyright__ = '(C) 2012, Anita Graser'
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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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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 DensifyGeometriesInterval(QgisFeatureBasedAlgorithm):
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INTERVAL = 'INTERVAL'
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def group(self):
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return self.tr('Vector geometry')
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def __init__(self):
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super().__init__()
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self.interval = None
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def initParameters(self, config=None):
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self.addParameter(QgsProcessingParameterNumber(self.INTERVAL,
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self.tr('Interval between vertices to add'), QgsProcessingParameterNumber.Double,
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1, False, 0, 10000000))
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def name(self):
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return 'densifygeometriesgivenaninterval'
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def displayName(self):
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return self.tr('Densify geometries given an interval')
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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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interval = self.parameterAsDouble(parameters, self.INTERVAL, context)
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return True
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def processFeature(self, feature, feedback):
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if feature.hasGeometry():
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new_geometry = feature.geometry().densifyByDistance(float(interval))
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feature.setGeometry(new_geometry)
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return feature
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