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Algorithms and other processing code should use this method (instead of dataobjects.getLayerFromString) to retrieve layers from a string, as it considers the processing context and allows resolving strings to temporarily stored layers. This permits processing models to function correctly when intermediate results are stored as memory layers. Subsequent model algorithms can then access these temporary layers as inputs. All temporary layers will be removed when the context object is destroyed after the model algorithm is run.
129 lines
4.9 KiB
Python
129 lines
4.9 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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Gridify.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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import os
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from qgis.PyQt.QtGui import QIcon
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from qgis.PyQt.QtCore import QVariant
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from qgis.core import QgsFields
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from processing.core.GeoAlgorithm import GeoAlgorithm
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from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
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from processing.core.parameters import ParameterMultipleInput
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from processing.core.outputs import OutputVector
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from processing.tools import dataobjects
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pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
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class Merge(GeoAlgorithm):
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LAYERS = 'LAYERS'
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OUTPUT = 'OUTPUT'
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def icon(self):
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return QIcon(os.path.join(pluginPath, 'images', 'ftools', 'merge_shapes.png'))
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def group(self):
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return self.tr('Vector general tools')
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def name(self):
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return 'mergevectorlayers'
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def displayName(self):
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return self.tr('Merge vector layers')
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def defineCharacteristics(self):
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self.addParameter(ParameterMultipleInput(self.LAYERS,
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self.tr('Layers to merge'),
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datatype=dataobjects.TYPE_VECTOR_ANY))
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self.addOutput(OutputVector(self.OUTPUT, self.tr('Merged')))
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def processAlgorithm(self, context, feedback):
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inLayers = self.getParameterValue(self.LAYERS)
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layers = []
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fields = QgsFields()
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totalFeatureCount = 0
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for layerSource in inLayers.split(';'):
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layer = dataobjects.QgsProcessingUtils.mapLayerFromString(layerSource, context)
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if (len(layers) > 0):
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if (layer.wkbType() != layers[0].wkbType()):
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raise GeoAlgorithmExecutionException(
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self.tr('All layers must have same geometry type!'))
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layers.append(layer)
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totalFeatureCount += layer.featureCount()
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for sindex, sfield in enumerate(layer.fields()):
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found = None
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for dfield in fields:
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if (dfield.name().upper() == sfield.name().upper()):
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found = dfield
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if (dfield.type() != sfield.type()):
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raise GeoAlgorithmExecutionException(
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self.tr('{} field in layer {} has different '
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'data type than in other layers.'))
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if not found:
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fields.append(sfield)
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total = 100.0 / totalFeatureCount
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writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(fields.toList(), layers[0].wkbType(),
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layers[0].crs(), context)
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featureCount = 0
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for layer in layers:
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for feature in layer.getFeatures():
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sattributes = feature.attributes()
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dattributes = []
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for dindex, dfield in enumerate(fields):
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if (dfield.type() == QVariant.Int, QVariant.UInt, QVariant.LongLong, QVariant.ULongLong):
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dattribute = 0
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elif (dfield.type() == QVariant.Double):
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dattribute = 0.0
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else:
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dattribute = ''
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for sindex, sfield in enumerate(layer.fields()):
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if (sfield.name().upper() == dfield.name().upper()):
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if (sfield.type() != dfield.type()):
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raise GeoAlgorithmExecutionException(
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self.tr('Attribute type mismatch'))
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dattribute = sattributes[sindex]
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break
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dattributes.append(dattribute)
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feature.setAttributes(dattributes)
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writer.addFeature(feature)
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featureCount += 1
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feedback.setProgress(int(featureCount * total))
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del writer
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