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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.
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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TextToFloat.py
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---------------------
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Date : May 2010
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Copyright : (C) 2010 by Michael Minn
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Email : pyqgis at michaelminn 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__ = 'Michael Minn'
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__date__ = 'May 2010'
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__copyright__ = '(C) 2010, Michael Minn'
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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 (QgsApplication,
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QgsField,
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QgsFeatureSink,
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QgsProcessingUtils)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.core.parameters import ParameterVector
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from processing.core.parameters import ParameterTableField
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from processing.core.outputs import OutputVector
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class TextToFloat(QgisAlgorithm):
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INPUT = 'INPUT'
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FIELD = 'FIELD'
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OUTPUT = 'OUTPUT'
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def group(self):
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return self.tr('Vector table tools')
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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.addParameter(ParameterVector(self.INPUT,
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self.tr('Input Layer')))
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self.addParameter(ParameterTableField(self.FIELD,
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self.tr('Text attribute to convert to float'),
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self.INPUT, ParameterTableField.DATA_TYPE_STRING))
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self.addOutput(OutputVector(self.OUTPUT, self.tr('Float from text')))
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def name(self):
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return 'texttofloat'
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def displayName(self):
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return self.tr('Text to float')
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def processAlgorithm(self, parameters, context, feedback):
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layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT), context)
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fieldName = self.getParameterValue(self.FIELD)
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idx = layer.fields().lookupField(fieldName)
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fields = layer.fields()
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fields[idx] = QgsField(fieldName, QVariant.Double, '', 24, 15)
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writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(fields, layer.wkbType(), layer.crs(), context)
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features = QgsProcessingUtils.getFeatures(layer, context)
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total = 100.0 / layer.featureCount() if layer.featureCount() else 0
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for current, f in enumerate(features):
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value = f[idx]
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try:
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if '%' in value:
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f[idx] = float(value.replace('%', '')) / 100.0
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else:
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f[idx] = float(value)
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except:
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f[idx] = None
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writer.addFeature(f, QgsFeatureSink.FastInsert)
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feedback.setProgress(int(current * total))
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del writer
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