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

"""
***************************************************************************
    GridDataMetrics.py
    ---------------------
    Date                 : October 2013
    Copyright            : (C) 2013 by Alexander Bruy
    Email                : alexander dot bruy 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__ = 'Alexander Bruy'
__date__ = 'October 2013'
__copyright__ = '(C) 2013, Alexander Bruy'

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

__revision__ = '$Format:%H$'


from PyQt4.QtGui import *

from processing.core.GeoAlgorithm import GeoAlgorithm
from processing.parameters.ParameterVector import ParameterVector
from processing.parameters.ParameterTableField import ParameterTableField
from processing.parameters.ParameterSelection import ParameterSelection
from processing.parameters.ParameterNumber import ParameterNumber
from processing.outputs.OutputRaster import OutputRaster
from processing.gdal.GdalUtils import GdalUtils
from processing.tools.system import *


class GridDataMetrics(GeoAlgorithm):

    INPUT = 'INPUT'
    Z_FIELD = 'Z_FIELD'
    METRIC = 'METRIC'
    RADIUS_1 = 'RADIUS_1'
    RADIUS_2 = 'RADIUS_2'
    MIN_POINTS = 'MIN_POINTS'
    ANGLE = 'ANGLE'
    NODATA = 'NODATA'
    OUTPUT = 'OUTPUT'

    DATA_METRICS = ['Minimum', 'Maximum', 'Range', 'Count', 'Average distance',
                    'Average distance between points']

    #def getIcon(self):
    #    filepath = os.path.dirname(__file__) + '/icons/dem.png'
    #    return QIcon(filepath)

    def defineCharacteristics(self):
        self.name = 'Grid (Data metrics)'
        self.group = '[GDAL] Analysis'
        self.addParameter(ParameterVector(self.INPUT, 'Input layer',
                          [ParameterVector.VECTOR_TYPE_POINT]))
        self.addParameter(ParameterTableField(self.Z_FIELD, 'Z field',
                          self.INPUT, ParameterTableField.DATA_TYPE_NUMBER,
                          True))
        self.addParameter(ParameterSelection(self.METRIC, 'Metrics',
                          self.DATA_METRICS, 0))
        self.addParameter(ParameterNumber(self.RADIUS_1, 'Radius 1',
                          0.0, 99999999.999999, 0.0))
        self.addParameter(ParameterNumber(self.RADIUS_2, 'Radius 2',
                          0.0, 99999999.999999, 0.0))
        self.addParameter(ParameterNumber(self.MIN_POINTS, 'Min points',
                          0.0, 99999999.999999, 0.0))
        self.addParameter(ParameterNumber(self.ANGLE, 'Angle',
                          0.0, 359.0, 0.0))
        self.addParameter(ParameterNumber(self.NODATA, 'Nodata',
                          0.0, 99999999.999999, 0.0))

        self.addOutput(OutputRaster(self.OUTPUT, 'Output file'))

    def processAlgorithm(self, progress):
        arguments = ['-l']
        arguments.append(
                os.path.basename(os.path.splitext(
                        unicode(self.getParameterValue(self.INPUT)))[0]))

        fieldName = self.getParameterValue(self.Z_FIELD)
        if fieldName is not None and fieldName != '':
            arguments.append('-zfield')
            arguments.append(fieldName)

        metric = self.getParameterValue(self.METRIC)
        if metric == 0:
            params = 'minimum'
        elif metric == 1:
            params = 'maximum'
        elif metric == 2:
            params = 'range'
        elif metric == 3:
            params = 'count'
        elif metric == 4:
            params = 'average_distance'
        elif metric == 5:
            params = 'average_distance_pts'

        params += ':radius1=%s' % self.getParameterValue(self.RADIUS_1)
        params += ':radius2=%s' % self.getParameterValue(self.RADIUS_2)
        params += ':angle=%s' % self.getParameterValue(self.ANGLE)
        params += ':min_points=%s' % self.getParameterValue(self.MIN_POINTS)
        params += ':nodata=%s' % self.getParameterValue(self.NODATA)

        arguments.append('-a')
        arguments.append(params)

        arguments.append(unicode(self.getParameterValue(self.INPUT)))
        arguments.append(unicode(self.getOutputValue(self.OUTPUT)))

        GdalUtils.runGdal(['gdal_grid',
                          GdalUtils.escapeAndJoin(arguments)], progress)