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- """
- ***************************************************************************
- RandomPointsLayer.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 os
- import random
- from qgis.PyQt.QtGui import QIcon
- from qgis.PyQt.QtCore import QVariant
- from qgis.core import (QgsApplication,
- QgsField,
- QgsFeatureSink,
- QgsFeature,
- QgsFields,
- QgsGeometry,
- QgsPointXY,
- QgsWkbTypes,
- QgsSpatialIndex,
- QgsFeatureRequest,
- QgsProcessing,
- QgsProcessingException,
- QgsProcessingParameterNumber,
- QgsProcessingParameterDistance,
- QgsProcessingParameterFeatureSource,
- QgsProcessingParameterFeatureSink,
- QgsProcessingParameterDefinition)
- from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
- from processing.tools import vector
- pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
- class RandomPointsLayer(QgisAlgorithm):
- INPUT = 'INPUT'
- POINTS_NUMBER = 'POINTS_NUMBER'
- MIN_DISTANCE = 'MIN_DISTANCE'
- OUTPUT = 'OUTPUT'
- def icon(self):
- return QgsApplication.getThemeIcon("/algorithms/mAlgorithmRandomPointsWithinExtent.svg")
- def svgIconPath(self):
- return QgsApplication.iconPath("/algorithms/mAlgorithmRandomPointsWithinExtent.svg")
- 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.TypeVectorPolygon]))
- 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 'randompointsinlayerbounds'
- def displayName(self):
- return self.tr('Random points in layer bounds')
- 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)
- bbox = source.sourceExtent()
- sourceIndex = QgsSpatialIndex(source, feedback)
- 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
- total = 100.0 / pointCount if pointCount else 1
- index = QgsSpatialIndex()
- points = {}
- random.seed()
- while nIterations < maxIterations and nPoints < pointCount:
- if feedback.isCanceled():
- break
- rx = bbox.xMinimum() + bbox.width() * random.random()
- ry = bbox.yMinimum() + bbox.height() * random.random()
- p = QgsPointXY(rx, ry)
- geom = QgsGeometry.fromPointXY(p)
- ids = sourceIndex.intersects(geom.buffer(5, 5).boundingBox())
- if len(ids) > 0 and \
- vector.checkMinDistance(p, index, minDistance, points):
- request = QgsFeatureRequest().setFilterFids(ids).setSubsetOfAttributes([])
- for f in source.getFeatures(request):
- if feedback.isCanceled():
- break
- tmpGeom = f.geometry()
- if geom.within(tmpGeom):
- 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}
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