/
calcul_mint.py
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calcul_mint.py
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# -*- coding: utf-8 -*-
import subprocess
import os,sys,stat
import processing
import gc
"""
/***************************************************************************
Networks
A QGIS plugin
Networks
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
-------------------
begin : 2018-02-26
copyright : (C) 2018 by Patrick Palmier
email : patrick.palmier@cerema.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__ = 'Patrick Palmier'
__date__ = '2018-02-26'
__copyright__ = '(C) 2018 by Patrick Palmier'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from PyQt5.QtCore import QCoreApplication,QVariant
from qgis.core import *
from qgis.utils import *
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsProcessingAlgorithm,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterFeatureSink,
QgsProcessingParameterNumber,
QgsProcessingParameterEnum,
QgsProcessingParameterBoolean,
QgsProcessingParameterString,
QgsProcessingParameterExtent,
QgsProcessingParameterField,
QgsProcessingParameterExpression,
QgsProcessingParameterFileDestination,
QgsProcessingParameterVectorLayer,
QgsProcessingParameterFileDestination,
QgsProcessingParameterFile)
import codecs
class CalculMint(QgsProcessingAlgorithm):
"""
This is an example algorithm that takes a vector layer and
creates a new identical one.
It is meant to be used as an example of how to create your own
algorithms and explain methods and variables used to do it. An
algorithm like this will be available in all elements, and there
is not need for additional work.
All Processing algorithms should extend the QgsProcessingAlgorithm
class.
"""
# Constants used to refer to parameters and outputs. They will be
# used when calling the algorithm from another algorithm, or when
# calling from the QGIS console.
RESEAU = 'RESEAU'
MATRICE='MATRICE'
PARAMETRES='PARAMETRES'
PENALITES='PENALTIES'
SORTIE='SORTIE'
DOWNLOAD='DOWNLOAD'
WAIT='WAIT'
def initAlgorithm(self, config):
"""
Here we define the inputs and output of the algorithm, along
with some other properties.
"""
self.addParameter(
QgsProcessingParameterFile(
self.RESEAU,
self.tr('Mint network')
)
)
self.addParameter(
QgsProcessingParameterFile(
self.MATRICE,
self.tr('Mint matrix')
)
)
self.addParameter(
QgsProcessingParameterFile(
self.PARAMETRES,
self.tr('Mint parameters')
)
)
self.addParameter(
QgsProcessingParameterFileDestination(
self.SORTIE,
self.tr('Output'),
"*.txt"
)
)
self.addParameter(
QgsProcessingParameterBoolean(
self.DOWNLOAD,
self.tr('Accept to download Mint binary from Github'),
False
)
)
self.addParameter(
QgsProcessingParameterBoolean(
self.WAIT,
self.tr('Force waiting the end of calculations'),
True
)
)
# usually takes the form of a newly created vector layer when the
# algorithm is run in QGIS).
def processAlgorithm(self, parameters, context, feedback):
"""
Here is where the processing itself takes place.
"""
# Retrieve the feature source and sink. The 'dest_id' variable is used
# to uniquely identify the feature sink, and must be included in the
# dictionary returned by the processAlgorithm function.
#couche = self.parameterAsSource(parameters, self.INPUT, context)
reseau = self.parameterAsFile(parameters, self.RESEAU, context)
matrice = self.parameterAsFile(parameters, self.MATRICE, context)
parametres = self.parameterAsFile(parameters, self.PARAMETRES, context)
sortie=os.path.splitext(self.parameterAsFileOutput(parameters, self.SORTIE, context))[0]
download=self.parameterAsBool(parameters,self.DOWNLOAD,context)
wait=self.parameterAsBool(parameters,self.WAIT,context)
if download==True:
feedback.setProgressText(self.tr("Downloading Mint_console binaries"))
processing.run("native:filedownloader", {'URL':'https://github.com/crocovert/Mintc/raw/main/bin/x64/Release/Mintc.exe','OUTPUT':os.path.dirname(__file__)+"/Mint_console.exe"})
feedback.setProgressText(self.tr("Mint_console downloaded succesfully"))
if sys.platform.startswith('win'):
prog=os.path.dirname(__file__)+"/Mint_console.exe"
cmd=[prog,reseau,matrice,sortie,parametres]
elif sys.platform.startswith('linux'):
prog=os.path.join(os.path.dirname(__file__),"Mint_console.exe")
st = os.stat(prog)
os.chmod(prog, st.st_mode | stat.S_IEXEC)
cmd=["mono",prog,reseau,matrice,sortie,parametres]
CREATE_NO_WINDOW = 0x08000000
DETACHED_PROCESS = 0x00000008
feedback.setProgressText(self.tr("Multimodal calculations... That could take some time"))
musliw_test=subprocess.Popen(cmd)
if wait==True:
musliw_test.wait()
gc.collect()
return {'SORTIE': sortie}
def name(self):
"""
Returns the algorithm name, used for identifying the algorithm. This
string should be fixed for the algorithm, and must not be localised.
The name should be unique within each provider. Names should contain
lowercase alphanumeric characters only and no spaces or other
formatting characters.
"""
return 'mint_calculation'
def displayName(self):
"""
Returns the translated algorithm name, which should be used for any
user-visible display of the algorithm name.
"""
return self.tr('Mint computation')
def group(self):
"""
Returns the name of the group this algorithm belongs to. This string
should be localised.
"""
return self.tr('Computations')
def groupId(self):
"""
Returns the unique ID of the group this algorithm belongs to. This
string should be fixed for the algorithm, and must not be localised.
The group id should be unique within each provider. Group id should
contain lowercase alphanumeric characters only and no spaces or other
formatting characters.
"""
return 'Computations'
def tr(self, string):
return QCoreApplication.translate('CalculMint', string)
def shortHelpString(self):
return self.tr("""
Perform a calculation of multimodal assignment with a frequency based algorithm (Mint)
Can download the Mint_console.exe binary for frequency based assignment computation (if checked)
Produce output files (semi-column separated files (if selected in parameters):
. Origin destination results file "_od.txt"
. Cumulative times on arcs "_times.txt" (usefull for isochron maps)
. Assignment results file on links "_aff.txt"
. Detailed strategies file (optional)
Parameters:
Mint network : Mint network
Mint matrix: Mint matrix
Mint parameters: Mint parameters
Accept to download Mint binary: If checked, the algorithm will download Mint_console.exe from the github repository
output : Mint results file (without extension)
""")
def createInstance(self):
return CalculMint()