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91 lines
3.3 KiB
Python
91 lines
3.3 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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AutoincrementalField.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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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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from qgis.PyQt.QtCore import QVariant
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from qgis.core import (QgsField,
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QgsFeature,
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QgsApplication,
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QgsProcessingUtils,
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QgsProcessingParameterFeatureSource,
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QgsProcessingParameterFeatureSink,
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QgsProcessingOutputVectorLayer)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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class AutoincrementalField(QgisAlgorithm):
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INPUT = 'INPUT'
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OUTPUT = 'OUTPUT'
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def __init__(self):
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super().__init__()
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self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
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self.tr('Input layer')))
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self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, self.tr('Incremented')))
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self.addOutput(QgsProcessingOutputVectorLayer(self.OUTPUT, self.tr('Incremented')))
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def icon(self):
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return QgsApplication.getThemeIcon("/providerQgis.svg")
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def svgIconPath(self):
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return QgsApplication.iconPath("providerQgis.svg")
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def group(self):
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return self.tr('Vector table tools')
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def name(self):
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return 'addautoincrementalfield'
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def displayName(self):
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return self.tr('Add autoincremental field')
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def processAlgorithm(self, parameters, context, feedback):
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source = self.parameterAsSource(parameters, self.INPUT, context)
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fields = source.fields()
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fields.append(QgsField('AUTO', QVariant.Int))
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(sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
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fields, source.wkbType(), source.sourceCrs())
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features = source.getFeatures()
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total = 100.0 / source.featureCount()
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for current, input_feature in enumerate(features):
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if feedback.isCanceled():
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break
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output_feature = input_feature
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attributes = input_feature.attributes()
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attributes.append(current)
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output_feature.setAttributes(attributes)
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sink.addFeature(output_feature)
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feedback.setProgress(int(current * total))
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return {self.OUTPUT: dest_id}
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