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

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# -*- 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
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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)
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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):
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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(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()
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.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}