mirror of
				https://github.com/qgis/QGIS.git
				synced 2025-10-30 00:07:09 -04:00 
			
		
		
		
	Fixes "Random points along line" (qgis:randompointsalongline) algorithm. See https://github.com/qgis/QGIS/issues/33156#issuecomment-581395400
		
			
				
	
	
		
			174 lines
		
	
	
		
			6.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			174 lines
		
	
	
		
			6.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- 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'
 | |
| 
 | |
| 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(), QgsFeatureSink.RegeneratePrimaryKey)
 | |
|         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()
 | |
| 
 | |
|         ids = source.allFeatureIds()
 | |
| 
 | |
|         while nIterations < maxIterations and nPoints < pointCount:
 | |
|             if feedback.isCanceled():
 | |
|                 break
 | |
| 
 | |
|             # pick random feature
 | |
|             fid = random.choice(ids)
 | |
|             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()
 | |
| 
 | |
|             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.addFeature(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}
 |