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Since it's safe to evaluate parameters in background threads now, it's usually going to be ok to evaluate everything in the processAlgorithm step. This keeps the algorithm code as simple as possible, and will make porting faster. Note that the prepare/postProcess virtual methods still exist and can be used when an algorithm MUST do setup/cleanup work in the main thread.
94 lines
3.6 KiB
Python
94 lines
3.6 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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from builtins import range
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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 (QgsWkbTypes,
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QgsFeatureSink,
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QgsApplication,
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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 DensifyGeometries(QgisAlgorithm):
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INPUT = 'INPUT'
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VERTICES = 'VERTICES'
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OUTPUT = 'OUTPUT'
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def tags(self):
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return self.tr('add,vertices,points').split(',')
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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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self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
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self.tr('Input layer'), [QgsProcessingParameterDefinition.TypeVectorPolygon, QgsProcessingParameterDefinition.TypeVectorLine]))
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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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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 'densifygeometries'
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def displayName(self):
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return self.tr('Densify geometries')
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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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vertices = self.parameterAsInt(parameters, self.VERTICES, 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().densifyByCount(vertices)
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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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