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b1cadb1822
have specific icons, instead of generic qgis icon We consider these 'top level' algorithms, and using the standard algorithm icon should help reflect this and differentiate them from 3rd party algorithms.
111 lines
4.5 KiB
Python
111 lines
4.5 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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QgsFeatureSink,
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QgsProcessingUtils)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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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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class SnapGeometriesToLayer(QgisAlgorithm):
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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 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(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 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 processAlgorithm(self, parameters, context, feedback):
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layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT), context)
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reference_layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.REFERENCE_LAYER), context)
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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 / layer.featureCount() if layer.featureCount() else 0
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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(f, QgsFeatureSink.FastInsert)
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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, QgsFeatureSink.FastInsert)
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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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