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fd2c18ee16
temporary output layers in the provided processing context Should fix loss of intermediate memory layers when running a multi-step model
116 lines
4.6 KiB
Python
116 lines
4.6 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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SnapGeometries.py
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-----------------
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Date : October 2016
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Copyright : (C) 2016 by Nyall Dawson
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Email : nyall dot dawson 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__ = 'Nyall Dawson'
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__date__ = 'October 2016'
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__copyright__ = '(C) 2016, Nyall Dawson'
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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.analysis import (QgsGeometrySnapper,
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QgsInternalGeometrySnapper)
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from qgis.core import (QgsApplication,
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QgsFeature,
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QgsProcessingUtils)
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from processing.core.GeoAlgorithm import GeoAlgorithm
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from processing.core.parameters import ParameterVector, ParameterNumber, ParameterSelection
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from processing.core.outputs import OutputVector
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from processing.tools import dataobjects, vector
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class SnapGeometriesToLayer(GeoAlgorithm):
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INPUT = 'INPUT'
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REFERENCE_LAYER = 'REFERENCE_LAYER'
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TOLERANCE = 'TOLERANCE'
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OUTPUT = 'OUTPUT'
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BEHAVIOR = 'BEHAVIOR'
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def icon(self):
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return QgsApplication.getThemeIcon("/providerQgis.svg")
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def svgIconPath(self):
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return QgsApplication.iconPath("providerQgis.svg")
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def group(self):
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return self.tr('Vector geometry tools')
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def name(self):
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return 'snapgeometries'
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def displayName(self):
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return self.tr('Snap geometries to layer')
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def defineCharacteristics(self):
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self.addParameter(ParameterVector(self.INPUT, self.tr('Input layer')))
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self.addParameter(ParameterVector(self.REFERENCE_LAYER, self.tr('Reference layer')))
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self.addParameter(ParameterNumber(self.TOLERANCE, self.tr('Tolerance (layer units)'), 0.00000001, 9999999999, default=10.0))
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self.modes = [self.tr('Prefer aligning nodes'),
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self.tr('Prefer closest point'),
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self.tr('Move end points only, prefer aligning nodes'),
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self.tr('Move end points only, prefer closest point'),
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self.tr('Snap end points to end points only')]
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self.addParameter(ParameterSelection(
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self.BEHAVIOR,
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self.tr('Behavior'),
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self.modes, default=0))
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self.addOutput(OutputVector(self.OUTPUT, self.tr('Snapped geometries')))
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def processAlgorithm(self, context, feedback):
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layer = dataobjects.getLayerFromString(self.getParameterValue(self.INPUT))
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reference_layer = dataobjects.getLayerFromString(self.getParameterValue(self.REFERENCE_LAYER))
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tolerance = self.getParameterValue(self.TOLERANCE)
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mode = self.getParameterValue(self.BEHAVIOR)
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writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(layer.fields(), layer.wkbType(), layer.crs(),
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context)
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features = QgsProcessingUtils.getFeatures(layer, context)
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self.processed = 0
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self.feedback = feedback
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self.total = 100.0 / QgsProcessingUtils.featureCount(layer, context)
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if self.getParameterValue(self.INPUT) != self.getParameterValue(self.REFERENCE_LAYER):
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snapper = QgsGeometrySnapper(reference_layer)
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snapper.featureSnapped.connect(self.featureSnapped)
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snapped_features = snapper.snapFeatures(features, tolerance, mode)
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for f in snapped_features:
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writer.addFeature(QgsFeature(f))
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else:
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# snapping internally
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snapper = QgsInternalGeometrySnapper(tolerance, mode)
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processed = 0
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for f in features:
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out_feature = f
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out_feature.setGeometry(snapper.snapFeature(f))
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writer.addFeature(out_feature)
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processed += 1
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feedback.setProgress(processed * self.total)
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del writer
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def featureSnapped(self):
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self.processed += 1
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self.feedback.setProgress(int(self.processed * self.total))
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