QGIS/python/plugins/processing/algs/qgis/RandomPointsAlongLines.py
Nyall Dawson 1e13d733c2 Move declaration of algorithm parameters/outputs to a new virtual
initAlgorithm() method

This allows 2 benefits:
- algorithms can be subclassed and have subclasses add additional
parameters/outputs to the algorithm. With the previous approach
of declaring parameters/outputs in the constructor, it's not
possible to call virtual methods to add additional parameters/
outputs (since you can't call virtual methods from a constructor).

- initAlgorithm takes a variant map argument, allowing the algorithm
to dynamically adjust its declared parameters and outputs according
to this configuration map. This potentially allows model algorithms which
can be configured to have variable numbers of parameters and
outputs at run time. E.g. a "router" algorithm which directs
features to one of any number of output sinks depending on some
user configured criteria.
2017-07-10 16:31:14 +10:00

154 lines
5.8 KiB
Python

# -*- 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. *
* *
***************************************************************************
"""
from builtins import next
__author__ = 'Alexander Bruy'
__date__ = 'April 2014'
__copyright__ = '(C) 2014, Alexander Bruy'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import random
from qgis.PyQt.QtCore import QVariant
from qgis.core import (QgsApplication,
QgsFeatureSink,
QgsFields,
QgsField,
QgsGeometry,
QgsSpatialIndex,
QgsWkbTypes,
QgsDistanceArea,
QgsFeatureRequest,
QgsFeature,
QgsPointXY,
QgsMessageLog,
QgsProcessingUtils)
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
from processing.core.parameters import ParameterVector
from processing.core.parameters import ParameterNumber
from processing.core.outputs import OutputVector
from processing.tools import dataobjects, vector
class RandomPointsAlongLines(QgisAlgorithm):
VECTOR = 'VECTOR'
POINT_NUMBER = 'POINT_NUMBER'
MIN_DISTANCE = 'MIN_DISTANCE'
OUTPUT = 'OUTPUT'
def group(self):
return self.tr('Vector creation tools')
def __init__(self):
super().__init__()
def initAlgorithm(self, config=None):
self.addParameter(ParameterVector(self.VECTOR,
self.tr('Input layer'), [dataobjects.TYPE_VECTOR_LINE]))
self.addParameter(ParameterNumber(self.POINT_NUMBER,
self.tr('Number of points'), 1, None, 1))
self.addParameter(ParameterNumber(self.MIN_DISTANCE,
self.tr('Minimum distance'), 0.0, None, 0.0))
self.addOutput(OutputVector(self.OUTPUT, self.tr('Random points'), datatype=[dataobjects.TYPE_VECTOR_POINT]))
def name(self):
return 'randompointsalongline'
def displayName(self):
return self.tr('Random points along line')
def processAlgorithm(self, parameters, context, feedback):
layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.VECTOR), context)
pointCount = float(self.getParameterValue(self.POINT_NUMBER))
minDistance = float(self.getParameterValue(self.MIN_DISTANCE))
fields = QgsFields()
fields.append(QgsField('id', QVariant.Int, '', 10, 0))
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(fields, QgsWkbTypes.Point, layer.crs(), context)
nPoints = 0
nIterations = 0
maxIterations = pointCount * 200
featureCount = layer.featureCount()
total = 100.0 / pointCount if pointCount else 1
index = QgsSpatialIndex()
points = dict()
da = QgsDistanceArea()
request = QgsFeatureRequest()
random.seed()
while nIterations < maxIterations and nPoints < pointCount:
# pick random feature
fid = random.randint(0, featureCount - 1)
f = next(layer.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
pnt = QgsPointXY(rx, ry)
geom = QgsGeometry.fromPoint(pnt)
if vector.checkMinDistance(pnt, index, minDistance, points):
f = QgsFeature(nPoints)
f.initAttributes(1)
f.setFields(fields)
f.setAttribute('id', nPoints)
f.setGeometry(geom)
writer.addFeature(f, QgsFeatureSink.FastInsert)
index.insertFeature(f)
points[nPoints] = pnt
nPoints += 1
feedback.setProgress(int(nPoints * total))
nIterations += 1
if nPoints < pointCount:
QgsMessageLog.logMessage(self.tr('Can not generate requested number of random points. '
'Maximum number of attempts exceeded.'), self.tr('Processing'), QgsMessageLog.INFO)
del writer