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138 lines
4.4 KiB
Python
138 lines
4.4 KiB
Python
"""
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***************************************************************************
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RandomSelection.py
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---------------------
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Date : August 2012
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Copyright : (C) 2012 by Victor Olaya
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Email : volayaf at gmail dot com
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***************************************************************************
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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***************************************************************************
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"""
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__author__ = "Victor Olaya"
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__date__ = "August 2012"
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__copyright__ = "(C) 2012, Victor Olaya"
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import os
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import random
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from qgis.PyQt.QtGui import QIcon
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from qgis.core import (
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QgsApplication,
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QgsFeatureSink,
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QgsProcessingException,
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QgsProcessingUtils,
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QgsProcessingAlgorithm,
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QgsProcessingParameterVectorLayer,
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QgsProcessingParameterEnum,
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QgsProcessingParameterNumber,
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QgsProcessingParameterFeatureSink,
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QgsProcessingOutputVectorLayer,
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)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
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class RandomSelection(QgisAlgorithm):
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INPUT = "INPUT"
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OUTPUT = "OUTPUT"
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METHOD = "METHOD"
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NUMBER = "NUMBER"
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def icon(self):
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return QgsApplication.getThemeIcon("/algorithms/mAlgorithmSelectRandom.svg")
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def svgIconPath(self):
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return QgsApplication.iconPath("/algorithms/mAlgorithmSelectRandom.svg")
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def group(self):
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return self.tr("Vector selection")
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def groupId(self):
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return "vectorselection"
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def flags(self):
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return (
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super().flags()
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| QgsProcessingAlgorithm.Flag.FlagNoThreading
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| QgsProcessingAlgorithm.Flag.FlagNotAvailableInStandaloneTool
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)
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def __init__(self):
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super().__init__()
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def initAlgorithm(self, config=None):
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self.methods = [
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self.tr("Number of selected features"),
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self.tr("Percentage of selected features"),
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]
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self.addParameter(
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QgsProcessingParameterVectorLayer(self.INPUT, self.tr("Input layer"))
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)
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self.addParameter(
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QgsProcessingParameterEnum(
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self.METHOD, self.tr("Method"), self.methods, False, 0
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)
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)
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self.addParameter(
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QgsProcessingParameterNumber(
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self.NUMBER,
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self.tr("Number/percentage of selected features"),
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QgsProcessingParameterNumber.Type.Integer,
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10,
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False,
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0.0,
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)
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)
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self.addOutput(
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QgsProcessingOutputVectorLayer(self.OUTPUT, self.tr("Selected (random)"))
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)
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def name(self):
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return "randomselection"
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def displayName(self):
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return self.tr("Random selection")
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def shortDescription(self):
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return self.tr("Takes a vector layer and randomly selects features.")
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def processAlgorithm(self, parameters, context, feedback):
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layer = self.parameterAsVectorLayer(parameters, self.INPUT, context)
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method = self.parameterAsEnum(parameters, self.METHOD, context)
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ids = layer.allFeatureIds()
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value = self.parameterAsInt(parameters, self.NUMBER, context)
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if method == 0:
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if value > len(ids):
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raise QgsProcessingException(
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self.tr(
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"Selected number is greater than feature count. "
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"Choose a lower value and try again."
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)
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)
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else:
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if value > 100:
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raise QgsProcessingException(
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self.tr(
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"Percentage can't be greater than 100. Set a "
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"different value and try again."
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)
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)
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value = int(round(value / 100.0, 4) * len(ids))
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selran = random.sample(ids, value)
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layer.selectByIds(selran)
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return {self.OUTPUT: parameters[self.INPUT]}
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