QGIS/python/plugins/processing/algs/qgis/RandomExtract.py
Bas Couwenberg 2628c480c5 Don't include revision in sources.
Prevent changes to files that weren't changed between releases.
This eases review of the changes between releases significantly.
2019-05-17 16:47:47 +02:00

113 lines
4.5 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
RandomExtract.py
---------------------
Date : August 2012
Copyright : (C) 2012 by Victor Olaya
Email : volayaf 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__ = 'Victor Olaya'
__date__ = 'August 2012'
__copyright__ = '(C) 2012, Victor Olaya'
import random
from qgis.core import (QgsFeatureSink,
QgsProcessingException,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterEnum,
QgsProcessingParameterNumber,
QgsProcessingParameterFeatureSink,
QgsFeatureRequest,
QgsProcessingFeatureSource)
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
class RandomExtract(QgisAlgorithm):
INPUT = 'INPUT'
OUTPUT = 'OUTPUT'
METHOD = 'METHOD'
NUMBER = 'NUMBER'
def group(self):
return self.tr('Vector selection')
def groupId(self):
return 'vectorselection'
def __init__(self):
super().__init__()
def initAlgorithm(self, config=None):
self.methods = [self.tr('Number of selected features'),
self.tr('Percentage of selected features')]
self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
self.tr('Input layer')))
self.addParameter(QgsProcessingParameterEnum(self.METHOD,
self.tr('Method'), self.methods, False, 0))
self.addParameter(QgsProcessingParameterNumber(self.NUMBER,
self.tr('Number/percentage of selected features'), QgsProcessingParameterNumber.Integer,
10, False, 0.0))
self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, self.tr('Extracted (random)')))
def name(self):
return 'randomextract'
def displayName(self):
return self.tr('Random extract')
def processAlgorithm(self, parameters, context, feedback):
source = self.parameterAsSource(parameters, self.INPUT, context)
if source is None:
raise QgsProcessingException(self.invalidSourceError(parameters, self.INPUT))
method = self.parameterAsEnum(parameters, self.METHOD, context)
features = source.getFeatures(QgsFeatureRequest(), QgsProcessingFeatureSource.FlagSkipGeometryValidityChecks)
featureCount = source.featureCount()
value = self.parameterAsInt(parameters, self.NUMBER, context)
if method == 0:
if value > featureCount:
raise QgsProcessingException(
self.tr('Selected number is greater than feature count. '
'Choose a lower value and try again.'))
else:
if value > 100:
raise QgsProcessingException(
self.tr("Percentage can't be greater than 100. Set a "
"different value and try again."))
value = int(round(value / 100.0000, 4) * featureCount)
selran = random.sample(list(range(featureCount)), value)
(sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
source.fields(), source.wkbType(), source.sourceCrs())
if sink is None:
raise QgsProcessingException(self.invalidSinkError(parameters, self.OUTPUT))
total = 100.0 / featureCount if featureCount else 1
for i, feat in enumerate(features):
if feedback.isCanceled():
break
if i in selran:
sink.addFeature(feat, QgsFeatureSink.FastInsert)
feedback.setProgress(int(i * total))
return {self.OUTPUT: dest_id}