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

"""
***************************************************************************
    MeanAndStdDevPlot.py
    ---------------------
    Date                 : January 2013
    Copyright            : (C) 2013 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__ = 'January 2013'
__copyright__ = '(C) 2013, Victor Olaya'

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

__revision__ = '$Format:%H$'

import plotly as plt
import plotly.graph_objs as go

from processing.core.GeoAlgorithm import GeoAlgorithm
from processing.core.parameters import ParameterTable
from processing.core.parameters import ParameterTableField
from processing.core.outputs import OutputHTML

from processing.tools import vector
from processing.tools import dataobjects


class MeanAndStdDevPlot(GeoAlgorithm):

    INPUT = 'INPUT'
    OUTPUT = 'OUTPUT'
    NAME_FIELD = 'NAME_FIELD'
    VALUE_FIELD = 'VALUE_FIELD'

    def defineCharacteristics(self):
        self.name, self.i18n_name = self.trAlgorithm('Mean and standard deviation plot')
        self.group, self.i18n_group = self.trAlgorithm('Graphics')

        self.addParameter(ParameterTable(self.INPUT,
                                         self.tr('Input table')))
        self.addParameter(ParameterTableField(self.NAME_FIELD,
                                              self.tr('Category name field'), self.INPUT,
                                              ParameterTableField.DATA_TYPE_ANY))
        self.addParameter(ParameterTableField(self.VALUE_FIELD,
                                              self.tr('Value field'), self.INPUT))

        self.addOutput(OutputHTML(self.OUTPUT, self.tr('Plot')))

    def processAlgorithm(self, feedback):
        layer = dataobjects.getObjectFromUri(
            self.getParameterValue(self.INPUT))
        namefieldname = self.getParameterValue(self.NAME_FIELD)
        valuefieldname = self.getParameterValue(self.VALUE_FIELD)

        output = self.getOutputValue(self.OUTPUT)

        values = vector.values(layer, namefieldname, valuefieldname)

        d = {}
        for i in range(len(values[namefieldname])):
            v = values[namefieldname][i]
            if v not in d:
                d[v] = [values[valuefieldname][i]]
            else:
                d[v].append(values[valuefieldname][i])

        data = []
        for k, v in d.items():
            data.append(go.Box(y=list(v),
                               boxmean='sd',
                               name=k
                               ))
        plt.offline.plot(data, filename=output, auto_open=False)