QGIS/python/plugins/processing/algs/qgis/RandomPointsAlongLines.py
Andrea Giudiceandrea 81fb58f997 [processing] Fix deprecated QgsField constructor
Using QMetaType.Type in place of QVariant types for:
- "Check validity" qgis:checkvalidity
- "Climb along line" qgis:climbalongline
- "Add geometry attributes" qgis:exportaddgeometrycolumns
- "Advanced Python field calculator" qgis:advancedpythonfieldcalculator
- "Find projection" qgis:findprojection
- "Distance to nearest hub (line to hub)" qgis:distancetonearesthublinetohub
- "Distance to nearest hub (points)"  qgis:distancetonearesthubpoints
- "Concave hull (k-nearest neighbor)" qgis:knearestconcavehull
- "Minimum bounding geometry" qgis:minimumboundinggeometry
- "Distance matrix" qgis:distancematrix
- "Generate points (pixel centroids) along line" qgis:generatepointspixelcentroidsalongline
- "Random points along line" qgis:randompointsalongline
- "Random points in layer bounds" qgis:randompointsinlayerbounds
- "Random points inside polygons" qgis:randompointsinsidepolygons
- "Regular points" qgis:regularpoints
- "Statistics by categories" qgis:statisticsbycategories
- "Text to float" qgis:texttofloat
- "Topological coloring" qgis:topologicalcoloring
2024-09-16 08:48:01 +10:00

189 lines
7.3 KiB
Python

"""
***************************************************************************
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 QMetaType
from qgis.core import (Qgis,
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.SourceType.TypeVectorLine]))
self.addParameter(QgsProcessingParameterNumber(self.POINTS_NUMBER,
self.tr('Number of points'),
QgsProcessingParameterNumber.Type.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.SourceType.TypeVectorPoint))
def name(self):
return 'randompointsalongline'
def displayName(self):
return self.tr('Random points along line')
def documentationFlags(self):
return Qgis.ProcessingAlgorithmDocumentationFlag.RegeneratesPrimaryKey
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', QMetaType.Type.Int, '', 10, 0))
(sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
fields, QgsWkbTypes.Type.Point, source.sourceCrs(), QgsFeatureSink.SinkFlag.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 = {}
da = QgsDistanceArea()
da.setSourceCrs(source.sourceCrs(), context.transformContext())
da.setEllipsoid(context.ellipsoid())
request = QgsFeatureRequest()
random.seed()
ids = source.allFeatureIds()
while ids and nIterations < maxIterations and nPoints < pointCount:
if feedback.isCanceled():
break
# pick random feature
fid = random.choice(ids)
try:
f = next(source.getFeatures(request.setFilterFid(fid).setSubsetOfAttributes([])))
except StopIteration:
ids.remove(fid)
continue
fGeom = f.geometry()
if fGeom.isEmpty():
ids.remove(fid)
continue
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
nVertices = len(vertices)
if nVertices < 2:
nIterations += 1
continue
if nVertices == 2:
vid = 0
else:
vid = random.randint(0, nVertices - 2)
startPoint = vertices[vid]
endPoint = vertices[vid + 1]
length = da.measureLine(startPoint, endPoint)
if length == 0:
nIterations += 1
continue
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.Flag.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}