def processAlgorithm(self, feedback):
layer = dataobjects.getLayerFromString(self.getParameterValue(self.INPUT))
reference_layer = dataobjects.getLayerFromString(self.getParameterValue(self.REFERENCE_LAYER))
tolerance = self.getParameterValue(self.TOLERANCE)
mode = self.getParameterValue(self.BEHAVIOR)
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(
layer.fields(), layer.wkbType(), layer.crs())
features = vector.features(layer)
self.processed = 0
self.feedback = feedback
self.total = 100.0 / len(features)
if self.getParameterValue(self.INPUT) != self.getParameterValue(self.REFERENCE_LAYER):
snapper = QgsGeometrySnapper(reference_layer)
snapper.featureSnapped.connect(self.featureSnapped)
snapped_features = snapper.snapFeatures(features, tolerance, mode)
for f in snapped_features:
writer.addFeature(QgsFeature(f))
else:
# snapping internally
snapper = QgsInternalGeometrySnapper(tolerance, mode)
processed = 0
for f in features:
out_feature = f
out_feature.setGeometry(snapper.snapFeature(f))
writer.addFeature(out_feature)
processed += 1
feedback.setProgress(processed * self.total)
del writer
def processAlgorithm(self, feedback):
layer = dataobjects.getLayerFromString(self.getParameterValue(self.INPUT))
reference_layer = dataobjects.getLayerFromString(self.getParameterValue(self.REFERENCE_LAYER))
tolerance = self.getParameterValue(self.TOLERANCE)
mode = self.getParameterValue(self.BEHAVIOR)
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(
layer.fields(), layer.wkbType(), layer.crs())
features = vector.features(layer)
self.processed = 0
self.feedback = feedback
self.total = 100.0 / len(features)
if self.getParameterValue(self.INPUT) != self.getParameterValue(self.REFERENCE_LAYER):
snapper = QgsGeometrySnapper(reference_layer)
snapper.featureSnapped.connect(self.featureSnapped)
snapped_features = snapper.snapFeatures(features, tolerance, mode)
for f in snapped_features:
writer.addFeature(QgsFeature(f))
else:
# snapping internally
snapper = QgsInternalGeometrySnapper(tolerance, mode)
processed = 0
for f in features:
out_feature = f
out_feature.setGeometry(snapper.snapFeature(f))
writer.addFeature(out_feature)
processed += 1
feedback.setProgress(processed * self.total)
del writer
def processAlgorithm(self, parameters, context, feedback):
layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT), context)
reference_layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.REFERENCE_LAYER), context)
tolerance = self.getParameterValue(self.TOLERANCE)
mode = self.getParameterValue(self.BEHAVIOR)
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(layer.fields(), layer.wkbType(), layer.crs(),
context)
features = QgsProcessingUtils.getFeatures(layer, context)
self.processed = 0
self.feedback = feedback
self.total = 100.0 / layer.featureCount() if layer.featureCount() else 0
if self.getParameterValue(self.INPUT) != self.getParameterValue(self.REFERENCE_LAYER):
snapper = QgsGeometrySnapper(reference_layer)
snapper.featureSnapped.connect(self.featureSnapped)
snapped_features = snapper.snapFeatures(features, tolerance, mode)
for f in snapped_features:
writer.addFeature(f, QgsFeatureSink.FastInsert)
else:
# snapping internally
snapper = QgsInternalGeometrySnapper(tolerance, mode)
processed = 0
for f in features:
out_feature = f
out_feature.setGeometry(snapper.snapFeature(f))
writer.addFeature(out_feature, QgsFeatureSink.FastInsert)
processed += 1
feedback.setProgress(processed * self.total)
del writer
def processAlgorithm(self, progress):
layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT))
reference_layer = dataobjects.getObjectFromUri(self.getParameterValue(self.REFERENCE_LAYER))
tolerance = self.getParameterValue(self.TOLERANCE)
mode = self.getParameterValue(self.BEHAVIOUR)
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(layer.fields(), layer.wkbType(), layer.crs())
features = vector.features(layer)
self.processed = 0
self.progress = progress
self.total = 100.0 / len(features)
snapper = QgsGeometrySnapper(reference_layer)
snapper.featureSnapped.connect(self.featureSnapped)
snapped_features = snapper.snapFeatures(features, tolerance, mode)
for f in snapped_features:
writer.addFeature(QgsFeature(f))
del writer
def processAlgorithm(self, feedback):
layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT))
reference_layer = dataobjects.getObjectFromUri(self.getParameterValue(self.REFERENCE_LAYER))
tolerance = self.getParameterValue(self.TOLERANCE)
mode = self.getParameterValue(self.BEHAVIOR)
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(
layer.fields(), layer.wkbType(), layer.crs())
features = vector.features(layer)
self.processed = 0
self.feedback = feedback
self.total = 100.0 / len(features)
snapper = QgsGeometrySnapper(reference_layer)
snapper.featureSnapped.connect(self.featureSnapped)
snapped_features = snapper.snapFeatures(features, tolerance, mode)
for f in snapped_features:
writer.addFeature(QgsFeature(f))
del writer
