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wnt_graph_from_network.py
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wnt_graph_from_network.py
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# -*- coding: utf-8 -*-
"""
/***************************************************************************
WaterNetworkTools
A QGIS plugin
Water Network Modelling Utilities
-------------------
begin : 2019-07-19
copyright : (C) 2019 by Andrés García Martínez
email : [email protected]
***************************************************************************/
/***************************************************************************
* *
* 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__ = 'Andrés García Martínez'
__date__ = '2019-07-19'
__copyright__ = '(C) 2019 by Andrés García Martínez'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from qgis.PyQt.QtCore import QCoreApplication
from qgis.core import (QgsProcessing,
QgsProcessingAlgorithm,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterFileDestination
)
from . import utils_core as tools
class GraphFromNetworkAlgorithm(QgsProcessingAlgorithm):
"""
Set the node elevation from a DEM in raster format.
"""
# DEFINE CONSTANTS
NODE_INPUT = 'NODE_INPUT'
LINK_INPUT = 'LINK_INPUT'
OUTPUT = 'OUTPUT'
def tr(self, string):
"""
Returns a translatable string with the self.tr() function.
"""
return QCoreApplication.translate('Processing', string)
def createInstance(self):
"""
Create a instance and return a new copy of algorithm.
"""
return GraphFromNetworkAlgorithm()
def name(self):
"""
Returns the unique algorithm name, used for identifying the algorithm.
"""
return 'graph_from_network'
def displayName(self):
"""
Returns the translated algorithm name.
"""
return self.tr('Graph from network')
def group(self):
"""
Returns the name of the group this algorithm belongs to.
"""
return self.tr('Graph')
def groupId(self):
"""
Returns the unique ID of the group this algorithm belongs to.
"""
return 'graph'
def shortHelpString(self):
"""
Returns a localised short help string for the algorithm.
"""
return self.tr('''Generate a graph from the network.
Format: Trivial Chart Format, TGF
Suggestion: yEd support TFG format.
===
Generar un grafo de la red.
Formato: Formato de gráfico trivial, TGF.
Sugerencia: yEd admite el formato TFG.
''')
def initAlgorithm(self, config=None):
"""
Define the inputs and outputs of the algorithm.
"""
# ADD THE INPUT SOURCES
self.addParameter(
QgsProcessingParameterFeatureSource(
self.NODE_INPUT,
self.tr('Input node vector layer'),
types=[QgsProcessing.TypeVectorPoint]
)
)
self.addParameter(
QgsProcessingParameterFeatureSource(
self.LINK_INPUT,
self.tr('Input link vector layer'),
types=[QgsProcessing.TypeVectorLine]
)
)
#ADD THE OUTPUT SINK
# ADD A FILE DESTINATION
self.addParameter(
QgsProcessingParameterFileDestination(
self.OUTPUT,
self.tr('Trivial Graph Format file'),
fileFilter='*.tgf'
)
)
def processAlgorithm(self, parameters, context, feedback):
"""
RUN PROCESS
"""
# INPUT
nodes = self.parameterAsSource(parameters, self.NODE_INPUT, context)
links = self.parameterAsSource(parameters, self.LINK_INPUT, context)
# OUTPUT
graphfile = self.parameterAsFileOutput(parameters, self.OUTPUT, context)
# GENERATE NETWORK
net = tools.WntNetwork()
for f in nodes.getFeatures():
net.add_node(tools.WntNode(f['id']))
for f in links.getFeatures():
net.add_link(tools.WntLink(f['id'], f['start'], f['end']))
# GENERATE GRAPH
net.to_tgf(graphfile)
# SHOW INFO
feedback.pushInfo('='*40)
msg = 'Graph generated. Nodes: {}. Edges: {}.'
msg = msg.format(nodes.featureCount(), links.featureCount())
feedback.pushInfo(msg)
feedback.pushInfo('='*40)
# PROCCES CANCELED
if feedback.isCanceled():
return {}
# OUTPUT
return {self.OUTPUT: graphfile}