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# -*- coding: utf-8 -*-
"""
***************************************************************************
v_net_distance.py
---------------------
Date : December 2015
Copyright : (C) 2015 by Médéric Ribreux
Email : medspx at medspx dot fr
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Médéric Ribreux'
__date__ = 'December 2015'
__copyright__ = '(C) 2015, Médéric Ribreux'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from processing.core.parameters import getParameterFromString
def processCommand(alg):
""" Handle data preparation for v.net.distance:
* Integrate point layers into network vector map.
* Make v.net.distance use those layers.
* Delete the threshold parameter.
* If where statement, connect to the db
"""
paramsToDelete = []
# Grab the threshold value for our v.net connect command
threshold = alg.getParameterValue(u'threshold')
if threshold:
paramsToDelete.append(alg.getParameterFromName(u'threshold'))
# Grab the network layer and tell to v.net.alloc to use the temp layer instead
line_layer = alg.getParameterValue(u'input')
if line_layer:
line_layer = alg.exportedLayers[line_layer]
# import the two point layers into the network
for i, layer in enumerate([u'from', u'to']):
# Get a temp layer name
intLayer = alg.getTempFilename()
# Grab the from point layer and delete this parameter (not used by v.net.distance)
point_layer = alg.getParameterValue(layer + u'_points')
if point_layer:
point_layer = alg.exportedLayers[point_layer]
paramsToDelete.append(alg.getParameterFromName(layer + u'_points'))
# Create the v.net connect command for point layer integration
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)
alg.commands.append(command)
line_layer = intLayer
# Add the parameter to the algorithm
parameter = alg.getParameterFromName(u'{}_layer'.format(layer))
if not parameter:
parameter = getParameterFromString(u'ParameterNumber|{0}_layer|{0} layer number|1|3|2|False'.format(layer))
alg.addParameter(parameter)
parameter.setValue(i + 2)
# Make the connection with attribute table
command = u"v.db.connect -o map={} table={} layer={}".format(line_layer, point_layer, i + 2)
alg.commands.append(command)
alg.setParameterValue(u'input', line_layer)
# Delete some unnecessary parameters
for param in paramsToDelete:
alg.parameters.remove(param)
alg.processCommand()
# Bring back the parameters:
for param in paramsToDelete:
alg.parameters.append(param)
# Delete from_layer and to_layer
for word in [u'from', u'to']:
alg.parameters.remove(alg.getParameterFromName(u'{}_layer'.format(word)))
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