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156 lines
6.1 KiB
Python
156 lines
6.1 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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RandomPointsExtent.py
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---------------------
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Date : April 2014
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Copyright : (C) 2014 by Alexander Bruy
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Email : alexander dot bruy 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__ = 'Alexander Bruy'
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__date__ = 'April 2014'
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__copyright__ = '(C) 2014, Alexander Bruy'
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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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import os
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import random
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from qgis.PyQt.QtGui import QIcon
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from qgis.PyQt.QtCore import QVariant
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from qgis.core import (QgsApplication,
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QgsField,
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QgsFeatureSink,
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QgsFeature,
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QgsFields,
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QgsGeometry,
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QgsPointXY,
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QgsWkbTypes,
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QgsSpatialIndex,
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QgsProcessing,
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QgsProcessingException,
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QgsProcessingParameterDistance,
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QgsProcessingParameterExtent,
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QgsProcessingParameterNumber,
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QgsProcessingParameterCrs,
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QgsProcessingParameterFeatureSink,
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QgsProcessingParameterDefinition)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.tools import vector
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pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
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class RandomPointsExtent(QgisAlgorithm):
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EXTENT = 'EXTENT'
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POINTS_NUMBER = 'POINTS_NUMBER'
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MIN_DISTANCE = 'MIN_DISTANCE'
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TARGET_CRS = 'TARGET_CRS'
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OUTPUT = 'OUTPUT'
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def icon(self):
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return QgsApplication.getThemeIcon("/algorithms/mAlgorithmRandomPointsWithinExtent.svg")
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def svgIconPath(self):
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return QgsApplication.iconPath("/algorithms/mAlgorithmRandomPointsWithinExtent.svg")
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def group(self):
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return self.tr('Vector creation')
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def groupId(self):
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return 'vectorcreation'
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def __init__(self):
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super().__init__()
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def initAlgorithm(self, config=None):
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self.addParameter(QgsProcessingParameterExtent(self.EXTENT, self.tr('Input extent')))
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self.addParameter(QgsProcessingParameterNumber(self.POINTS_NUMBER,
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self.tr('Number of points'),
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QgsProcessingParameterNumber.Integer,
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1, False, 1, 1000000000))
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self.addParameter(QgsProcessingParameterDistance(self.MIN_DISTANCE,
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self.tr('Minimum distance between points'),
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0, self.TARGET_CRS, False, 0, 1000000000))
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self.addParameter(QgsProcessingParameterCrs(self.TARGET_CRS,
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self.tr('Target CRS'),
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'ProjectCrs'))
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self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT,
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self.tr('Random points'),
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type=QgsProcessing.TypeVectorPoint))
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def name(self):
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return 'randompointsinextent'
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def displayName(self):
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return self.tr('Random points in extent')
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def processAlgorithm(self, parameters, context, feedback):
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pointCount = self.parameterAsDouble(parameters, self.POINTS_NUMBER, context)
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minDistance = self.parameterAsDouble(parameters, self.MIN_DISTANCE, context)
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crs = self.parameterAsCrs(parameters, self.TARGET_CRS, context)
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bbox = self.parameterAsExtent(parameters, self.EXTENT, context, crs)
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extent = QgsGeometry().fromRect(bbox)
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fields = QgsFields()
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fields.append(QgsField('id', QVariant.Int, '', 10, 0))
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(sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
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fields, QgsWkbTypes.Point, crs)
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if sink is None:
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raise QgsProcessingException(self.invalidSinkError(parameters, self.OUTPUT))
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nPoints = 0
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nIterations = 0
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maxIterations = pointCount * 200
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total = 100.0 / pointCount if pointCount else 1
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index = QgsSpatialIndex()
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points = dict()
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random.seed()
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while nIterations < maxIterations and nPoints < pointCount:
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if feedback.isCanceled():
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break
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rx = bbox.xMinimum() + bbox.width() * random.random()
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ry = bbox.yMinimum() + bbox.height() * random.random()
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p = QgsPointXY(rx, ry)
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geom = QgsGeometry.fromPointXY(p)
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if geom.within(extent) and \
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vector.checkMinDistance(p, index, minDistance, points):
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f = QgsFeature(nPoints)
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f.initAttributes(1)
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f.setFields(fields)
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f.setAttribute('id', nPoints)
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f.setGeometry(geom)
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sink.addFeature(f, QgsFeatureSink.FastInsert)
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index.addFeature(f)
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points[nPoints] = p
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nPoints += 1
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feedback.setProgress(int(nPoints * total))
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nIterations += 1
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if nPoints < pointCount:
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feedback.pushInfo(self.tr('Could not generate requested number of random points. '
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'Maximum number of attempts exceeded.'))
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return {self.OUTPUT: dest_id}
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