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81 lines
3.2 KiB
Python
81 lines
3.2 KiB
Python
# -*- coding: utf-8 -*-
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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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__author__ = 'Médéric Ribreux'
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__date__ = 'December 2015'
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__copyright__ = '(C) 2015, Médéric Ribreux'
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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 processing.core.parameters import getParameterFromString
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from copy import deepcopy
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def processCommand(alg, parameters):
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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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new_parameters = deepcopy(parameters)
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# Grab the threshold value for our v.net connect command
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threshold = alg.getParameterValue(u'threshold')
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if threshold:
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del new_parameters['threshold']
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# Grab the network layer and tell to v.net.alloc to use the temp layer instead
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line_layer = alg.getParameterValue(u'input')
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if line_layer:
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line_layer = alg.exportedLayers[line_layer]
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# import the two point layers into the network
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for i, layer in enumerate([u'from', u'to']):
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# Get a temp layer name
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intLayer = alg.getTempFilename()
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# Grab the from point layer and delete this parameter (not used by v.net.distance)
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point_layer = alg.getParameterValue(layer + u'_points')
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if point_layer:
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point_layer = alg.exportedLayers[point_layer]
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del new_parameters[layer + u'_points']
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# Create the v.net connect command for point layer integration
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command = u"v.net -s input={} points={} out={} op=connect threshold={} arc_layer=1 node_layer={}".format(line_layer, point_layer, intLayer, threshold, i + 2)
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alg.commands.append(command)
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line_layer = intLayer
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# Add the parameter to the algorithm
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parameter = alg.getParameterFromName(u'{}_layer'.format(layer))
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if not parameter:
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parameter = getParameterFromString(u'ParameterNumber|{0}_layer|{0} layer number|1|3|2|False'.format(layer))
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alg.addParameter(parameter)
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new_parameters[parameter.name()] = i + 2
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# Make the connection with attribute table
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command = u"v.db.connect -o map={} table={} layer={}".format(line_layer, point_layer, i + 2)
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alg.commands.append(command)
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new_parameters['input'] = line_layer
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alg.processCommand(new_parameters, context)
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