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42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
__author__ = 'Victor Olaya'
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__date__ = 'November 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.core import *
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from PyQt4.QtCore import *
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from PyQt4.QtGui import *
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from sextante.core.QGisLayers import QGisLayers
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from sextante.core.SextanteVectorWriter import SextanteVectorWriter
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#Here we define the input and outputs
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#====================================
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##[Example scripts]=group
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##input=vector
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##output=output vector
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#And here is the body of the algorithm
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#=======================================
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#input layers values are always a string with its location.
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#That string can be converted into a QGIS object (a QgsVectorLayer in this case))
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#using the Sextante.getObjectFromUri() method
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vectorLayer = QGisLayers.getObjectFromUri(input)
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#And now we can process
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#First we create the output layer.
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#To do so, we create a SextanteVectorWriter, that we can later use to add features.
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provider = vectorLayer.dataProvider()
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writer = SextanteVectorWriter(output, None, provider.fields(), provider.geometryType(), provider.crs() )
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#Now we take the selected features and add them to the output layer
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selection = vectorLayer.selectedFeatures()
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for feat in selection:
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writer.addFeature(feat)
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del writer
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#There is nothing more to do here. We do not have to open the layer that we have created.
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#SEXTANTE will take care of that, or will handle it if this algorithm is executed within
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#a complex model |