# -*- coding: utf-8 -*- """ *************************************************************************** RandomPointsAlongLines.py --------------------- Date : April 2014 Copyright : (C) 2014 by Alexander Bruy Email : alexander dot bruy at gmail dot com *************************************************************************** * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * *************************************************************************** """ __author__ = 'Alexander Bruy' __date__ = 'April 2014' __copyright__ = '(C) 2014, Alexander Bruy' # This will get replaced with a git SHA1 when you do a git archive __revision__ = '$Format:%H$' import random from qgis.PyQt.QtCore import QVariant from qgis.core import (QgsField, QgsFeatureSink, QgsFeature, QgsFields, QgsGeometry, QgsPointXY, QgsWkbTypes, QgsSpatialIndex, QgsFeatureRequest, QgsDistanceArea, QgsProject, QgsProcessing, QgsProcessingException, QgsProcessingParameterDistance, QgsProcessingParameterNumber, QgsProcessingParameterFeatureSource, QgsProcessingParameterFeatureSink, QgsProcessingParameterDefinition) from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm from processing.tools import vector class RandomPointsAlongLines(QgisAlgorithm): INPUT = 'INPUT' POINTS_NUMBER = 'POINTS_NUMBER' MIN_DISTANCE = 'MIN_DISTANCE' OUTPUT = 'OUTPUT' def group(self): return self.tr('Vector creation') def groupId(self): return 'vectorcreation' def __init__(self): super().__init__() def initAlgorithm(self, config=None): self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT, self.tr('Input layer'), [QgsProcessing.TypeVectorLine])) self.addParameter(QgsProcessingParameterNumber(self.POINTS_NUMBER, self.tr('Number of points'), QgsProcessingParameterNumber.Integer, 1, False, 1, 1000000000)) self.addParameter(QgsProcessingParameterDistance(self.MIN_DISTANCE, self.tr('Minimum distance between points'), 0, self.INPUT, False, 0, 1000000000)) self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, self.tr('Random points'), type=QgsProcessing.TypeVectorPoint)) def name(self): return 'randompointsalongline' def displayName(self): return self.tr('Random points along line') def processAlgorithm(self, parameters, context, feedback): source = self.parameterAsSource(parameters, self.INPUT, context) if source is None: raise QgsProcessingException(self.invalidSourceError(parameters, self.INPUT)) pointCount = self.parameterAsDouble(parameters, self.POINTS_NUMBER, context) minDistance = self.parameterAsDouble(parameters, self.MIN_DISTANCE, context) fields = QgsFields() fields.append(QgsField('id', QVariant.Int, '', 10, 0)) (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context, fields, QgsWkbTypes.Point, source.sourceCrs()) if sink is None: raise QgsProcessingException(self.invalidSinkError(parameters, self.OUTPUT)) nPoints = 0 nIterations = 0 maxIterations = pointCount * 200 featureCount = source.featureCount() total = 100.0 / pointCount if pointCount else 1 index = QgsSpatialIndex() points = dict() da = QgsDistanceArea() da.setSourceCrs(source.sourceCrs(), context.transformContext()) da.setEllipsoid(context.project().ellipsoid()) request = QgsFeatureRequest() random.seed() while nIterations < maxIterations and nPoints < pointCount: if feedback.isCanceled(): break # pick random feature fid = random.randint(0, featureCount - 1) f = next(source.getFeatures(request.setFilterFid(fid).setSubsetOfAttributes([]))) fGeom = f.geometry() if fGeom.isMultipart(): lines = fGeom.asMultiPolyline() # pick random line lineId = random.randint(0, len(lines) - 1) vertices = lines[lineId] else: vertices = fGeom.asPolyline() # pick random segment if len(vertices) == 2: vid = 0 else: vid = random.randint(0, len(vertices) - 2) startPoint = vertices[vid] endPoint = vertices[vid + 1] length = da.measureLine(startPoint, endPoint) dist = length * random.random() if dist > minDistance: d = dist / (length - dist) rx = (startPoint.x() + d * endPoint.x()) / (1 + d) ry = (startPoint.y() + d * endPoint.y()) / (1 + d) # generate random point p = QgsPointXY(rx, ry) geom = QgsGeometry.fromPointXY(p) if vector.checkMinDistance(p, index, minDistance, points): f = QgsFeature(nPoints) f.initAttributes(1) f.setFields(fields) f.setAttribute('id', nPoints) f.setGeometry(geom) sink.addFeature(f, QgsFeatureSink.FastInsert) index.insertFeature(f) points[nPoints] = p nPoints += 1 feedback.setProgress(int(nPoints * total)) nIterations += 1 if nPoints < pointCount: feedback.pushInfo(self.tr('Could not generate requested number of random points. ' 'Maximum number of attempts exceeded.')) return {self.OUTPUT: dest_id}