"""
***************************************************************************
    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"

import warnings

from qgis.core import (
    QgsProcessingParameterFeatureSource,
    QgsProcessingParameterField,
    QgsProcessingException,
    QgsProcessingParameterFileDestination,
)
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm

from processing.tools import vector

from qgis.PyQt.QtCore import QCoreApplication


class MeanAndStdDevPlot(QgisAlgorithm):
    INPUT = "INPUT"
    OUTPUT = "OUTPUT"
    NAME_FIELD = "NAME_FIELD"
    VALUE_FIELD = "VALUE_FIELD"

    def group(self):
        return self.tr("Plots")

    def groupId(self):
        return "plots"

    def __init__(self):
        super().__init__()

    def initAlgorithm(self, config=None):
        self.addParameter(
            QgsProcessingParameterFeatureSource(self.INPUT, self.tr("Input table"))
        )
        self.addParameter(
            QgsProcessingParameterField(
                self.NAME_FIELD,
                self.tr("Category name field"),
                parentLayerParameterName=self.INPUT,
                type=QgsProcessingParameterField.DataType.Any,
            )
        )
        self.addParameter(
            QgsProcessingParameterField(
                self.VALUE_FIELD,
                self.tr("Value field"),
                parentLayerParameterName=self.INPUT,
                type=QgsProcessingParameterField.DataType.Numeric,
            )
        )

        self.addParameter(
            QgsProcessingParameterFileDestination(
                self.OUTPUT, self.tr("Plot"), self.tr("HTML files (*.html)")
            )
        )

    def name(self):
        return "meanandstandarddeviationplot"

    def displayName(self):
        return self.tr("Mean and standard deviation plot")

    def shortDescription(self):
        return self.tr("Creates a box plot with mean and standard deviation values.")

    def processAlgorithm(self, parameters, context, feedback):
        try:
            # importing plotly throws Python warnings from within the library - filter these out
            with warnings.catch_warnings():
                warnings.filterwarnings("ignore", category=ResourceWarning)
                warnings.filterwarnings("ignore", category=ImportWarning)
                import plotly as plt
                import plotly.graph_objs as go
        except ImportError:
            raise QgsProcessingException(
                QCoreApplication.translate(
                    "MeanAndStdDevPlot",
                    "This algorithm requires the Python “plotly” library. Please install this library and try again.",
                )
            )

        source = self.parameterAsSource(parameters, self.INPUT, context)
        if source is None:
            raise QgsProcessingException(
                self.invalidSourceError(parameters, self.INPUT)
            )

        namefieldname = self.parameterAsString(parameters, self.NAME_FIELD, context)
        valuefieldname = self.parameterAsString(parameters, self.VALUE_FIELD, context)

        output = self.parameterAsFileOutput(parameters, self.OUTPUT, context)

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

        return {self.OUTPUT: output}
