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1e13d733c2
initAlgorithm() method This allows 2 benefits: - algorithms can be subclassed and have subclasses add additional parameters/outputs to the algorithm. With the previous approach of declaring parameters/outputs in the constructor, it's not possible to call virtual methods to add additional parameters/ outputs (since you can't call virtual methods from a constructor). - initAlgorithm takes a variant map argument, allowing the algorithm to dynamically adjust its declared parameters and outputs according to this configuration map. This potentially allows model algorithms which can be configured to have variable numbers of parameters and outputs at run time. E.g. a "router" algorithm which directs features to one of any number of output sinks depending on some user configured criteria.
94 lines
3.8 KiB
Python
94 lines
3.8 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 math import sqrt
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from qgis.core import (QgsWkbTypes,
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QgsApplication,
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QgsFeatureSink,
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QgsProcessing,
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QgsProcessingParameterFeatureSource,
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QgsProcessingParameterNumber,
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QgsProcessingParameterFeatureSink,
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QgsProcessingOutputVectorLayer,
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QgsProcessingParameterDefinition)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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class DensifyGeometriesInterval(QgisAlgorithm):
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INPUT = 'INPUT'
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INTERVAL = 'INTERVAL'
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OUTPUT = 'OUTPUT'
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def group(self):
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return self.tr('Vector geometry tools')
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def __init__(self):
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super().__init__()
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def initAlgorithm(self, config=None):
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self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
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self.tr('Input layer'), [QgsProcessing.TypeVectorPolygon, QgsProcessing.TypeVectorLine]))
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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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self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, self.tr('Densified')))
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self.addOutput(QgsProcessingOutputVectorLayer(self.OUTPUT, self.tr('Densified')))
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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 processAlgorithm(self, parameters, context, feedback):
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source = self.parameterAsSource(parameters, self.INPUT, context)
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interval = self.parameterAsDouble(parameters, self.INTERVAL, context)
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(sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
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source.fields(), source.wkbType(), source.sourceCrs())
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features = source.getFeatures()
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total = 100.0 / source.featureCount() if source.featureCount() else 0
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for current, f in enumerate(features):
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if feedback.isCanceled():
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break
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feature = f
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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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sink.addFeature(feature, QgsFeatureSink.FastInsert)
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feedback.setProgress(int(current * total))
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return {self.OUTPUT: dest_id}
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