QGIS/python/plugins/processing/algs/qgis/RandomPointsExtent.py

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# -*- coding: utf-8 -*-
"""
***************************************************************************
RandomPointsExtent.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
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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,
QgsProcessing,
QgsProcessingException,
QgsProcessingParameterDistance,
QgsProcessingParameterExtent,
QgsProcessingParameterNumber,
QgsProcessingParameterCrs,
QgsProcessingParameterFeatureSink,
QgsProcessingParameterDefinition)
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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 RandomPointsExtent(QgisAlgorithm):
EXTENT = 'EXTENT'
POINTS_NUMBER = 'POINTS_NUMBER'
MIN_DISTANCE = 'MIN_DISTANCE'
TARGET_CRS = 'TARGET_CRS'
OUTPUT = 'OUTPUT'
def icon(self):
return QgsApplication.getThemeIcon("/algorithms/mAlgorithmRandomPointsWithinExtent.svg")
def svgIconPath(self):
return QgsApplication.iconPath("/algorithms/mAlgorithmRandomPointsWithinExtent.svg")
def group(self):
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return self.tr('Vector creation')
def groupId(self):
return 'vectorcreation'
def __init__(self):
super().__init__()
def initAlgorithm(self, config=None):
self.addParameter(QgsProcessingParameterExtent(self.EXTENT, self.tr('Input extent')))
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.TARGET_CRS, False, 0, 1000000000))
self.addParameter(QgsProcessingParameterCrs(self.TARGET_CRS,
self.tr('Target CRS'),
'ProjectCrs'))
self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT,
self.tr('Random points'),
type=QgsProcessing.TypeVectorPoint))
def name(self):
return 'randompointsinextent'
def displayName(self):
return self.tr('Random points in extent')
def processAlgorithm(self, parameters, context, feedback):
pointCount = self.parameterAsDouble(parameters, self.POINTS_NUMBER, context)
minDistance = self.parameterAsDouble(parameters, self.MIN_DISTANCE, context)
crs = self.parameterAsCrs(parameters, self.TARGET_CRS, context)
bbox = self.parameterAsExtent(parameters, self.EXTENT, context, crs)
extent = QgsGeometry().fromRect(bbox)
fields = QgsFields()
fields.append(QgsField('id', QVariant.Int, '', 10, 0))
(sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
fields, QgsWkbTypes.Point, crs)
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 = dict()
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)
if geom.within(extent) and \
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}