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			84 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			84 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- coding: utf-8 -*-
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| 
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| """
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| ***************************************************************************
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|     v_net_distance.py
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|     ---------------------
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|     Date                 : December 2015
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|     Copyright            : (C) 2015 by Médéric Ribreux
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|     Email                : medspx at medspx dot fr
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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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| 
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| __author__ = 'Médéric Ribreux'
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| __date__ = 'December 2015'
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| __copyright__ = '(C) 2015, Médéric Ribreux'
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| 
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| # This will get replaced with a git SHA1 when you do a git archive
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| 
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| __revision__ = '$Format:%H$'
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| 
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| 
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| import os
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| from .v_net import variableOutput
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| from processing.tools.system import getTempFilename
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| from qgis.core import QgsProcessingParameterString
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| 
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| 
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| def processCommand(alg, parameters, context, feedback):
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|     """ Handle data preparation for v.net.distance:
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|     * Integrate point layers into network vector map.
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|     * Make v.net.distance use those layers.
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|     * Delete the threshold parameter.
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|     * If where statement, connect to the db
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|     """
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|     # Grab the point layer and delete this parameter
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|     lineLayer = alg.exportedLayers['input']
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|     fromLayer = alg.exportedLayers['flayer']
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|     toLayer = alg.exportedLayers['tlayer']
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|     intLayer = 'bufnet' + os.path.basename(getTempFilename())
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|     netLayer = 'net' + os.path.basename(getTempFilename())
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|     threshold = alg.parameterAsDouble(parameters, 'threshold', context)
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| 
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|     # Create the v.net connect command for from_layer integration
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|     command = u"v.net input={} points={} output={} operation=connect threshold={} arc_layer=1 node_layer=2".format(
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|         lineLayer, fromLayer, intLayer, threshold)
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|     alg.commands.append(command)
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| 
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|     # Do it again with to_layer
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|     command = u"v.net input={} points={} output={} operation=connect threshold={} arc_layer=1 node_layer=3".format(
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|         intLayer, toLayer, netLayer, threshold)
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|     alg.commands.append(command)
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| 
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|     # Connect the point layer database to the layer 2 of the network
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|     command = u"v.db.connect -o map={} table={} layer=2".format(netLayer, fromLayer)
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|     alg.commands.append(command)
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| 
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|     command = u"v.db.connect -o map={} table={} layer=3".format(netLayer, toLayer)
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|     alg.commands.append(command)
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| 
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|     # remove undesired parameters
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|     alg.removeParameter('flayer')
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|     alg.removeParameter('tlayer')
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|     alg.removeParameter('threshold')
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|     alg.exportedLayers['input'] = netLayer
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| 
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|     # Add the two new parameters
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|     fLayer = QgsProcessingParameterString('from_layer', None, 2, False, False)
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|     alg.addParameter(fLayer)
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|     tLayer = QgsProcessingParameterString('to_layer', None, 3, False, False)
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|     alg.addParameter(tLayer)
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|     alg.processCommand(parameters, context, feedback)
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| 
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| 
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| def processOutputs(alg, parameters, context, feedback):
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|     outputParameter = {'output': ['output', 'line', 1, True]}
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|     variableOutput(alg, outputParameter, parameters, context)
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