# -*- coding: utf-8 -*-

"""
***************************************************************************
    FilterData.py
    ---------------------
    Date                 : August 2012
    Copyright            : (C) 2012 by Victor Olaya
    Email                : volayaf at gmail dot com
***************************************************************************
*                                                                         *
*   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__ = 'Victor Olaya'
__date__ = 'August 2012'
__copyright__ = '(C) 2012, Victor Olaya'

# This will get replaced with a git SHA1 when you do a git archive

__revision__ = '$Format:%H$'

import os
import subprocess
from processing.core.parameters import ParameterFile
from processing.core.parameters import ParameterNumber
from processing.core.outputs import OutputFile
from FusionAlgorithm import FusionAlgorithm
from FusionUtils import FusionUtils


class FilterData(FusionAlgorithm):

    INPUT = 'INPUT'
    OUTPUT = 'OUTPUT'
    VALUE = 'VALUE'
    SHAPE = 'SHAPE'
    WINDOWSIZE = 'WINDOWSIZE'

    def defineCharacteristics(self):
        self.name = 'Filter Data outliers'
        self.group = 'Points'
        self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
        self.addParameter(ParameterNumber(self.VALUE,
                          'Standard Deviation multiplier'))
        self.addParameter(ParameterNumber(self.VALUE, 'Window size', None,
                          None, 10))
        self.addOutput(OutputFile(self.OUTPUT, 'Output filtered las file'))
        self.addAdvancedModifiers()

    def processAlgorithm(self, progress):
        commands = [os.path.join(FusionUtils.FusionPath(), 'FilterData.exe')]
        commands.append('/verbose')
        self.addAdvancedModifiersToCommand(commands)
        commands.append('outlier')
        commands.append(str(self.getParameterValue(self.VALUE)))
        commands.append(str(self.getParameterValue(self.WINDOWSIZE)))
        outFile = self.getOutputValue(self.OUTPUT) + '.lda'
        commands.append(outFile)
        files = self.getParameterValue(self.INPUT).split(';')
        if len(files) == 1:
            commands.append(self.getParameterValue(self.INPUT))
        else:
            FusionUtils.createFileList(files)
            commands.append(FusionUtils.tempFileListFilepath())
        FusionUtils.runFusion(commands, progress)
        commands = [os.path.join(FusionUtils.FusionPath(), 'LDA2LAS.exe')]
        commands.append(outFile)
        commands.append(self.getOutputValue(self.OUTPUT))
        p = subprocess.Popen(commands, shell=True)
        p.wait()
