"""
***************************************************************************
    BarPlot.py
    ---------------------
    Date                 : March 2015
    Copyright            : (C) 2017 by Matteo Ghetta
    Email                : matteo dot ghetta 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__ = "Matteo Ghetta"
__date__ = "March 2017"
__copyright__ = "(C) 2017, Matteo Ghetta"

import warnings

from qgis.core import (
    QgsProcessingException,
    QgsProcessingParameterFeatureSource,
    QgsProcessingParameterField,
    QgsProcessingParameterEnum,
    QgsProcessingParameterFileDestination,
    QgsFeatureRequest,
    QgsProcessingParameterString,
)
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
from processing.tools import vector

from qgis.PyQt.QtCore import QCoreApplication


class BoxPlot(QgisAlgorithm):
    INPUT = "INPUT"
    OUTPUT = "OUTPUT"
    NAME_FIELD = "NAME_FIELD"
    VALUE_FIELD = "VALUE_FIELD"
    MSD = "MSD"
    TITLE = "TITLE"
    XAXIS_TITLE = "XAXIS_TITLE"
    YAXIS_TITLE = "YAXIS_TITLE"

    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 layer"))
        )
        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,
            )
        )
        msd = [
            self.tr("Show Mean"),
            self.tr("Show Standard Deviation"),
            self.tr("Don't show Mean and Standard Deviation"),
        ]
        self.addParameter(
            QgsProcessingParameterEnum(
                self.MSD,
                self.tr("Additional Statistic Lines"),
                options=msd,
                defaultValue=0,
            )
        )

        self.addParameter(
            QgsProcessingParameterString(self.TITLE, self.tr("Title"), optional=True)
        )

        self.addParameter(
            QgsProcessingParameterString(
                self.XAXIS_TITLE, self.tr("X-axis title"), optional=True
            )
        )

        self.addParameter(
            QgsProcessingParameterString(
                self.YAXIS_TITLE, self.tr("Y-axis title"), optional=True
            )
        )

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

    def name(self):
        return "boxplot"

    def displayName(self):
        return self.tr("Box plot")

    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(
                    "BoxPlot",
                    "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)

        title = self.parameterAsString(parameters, self.TITLE, context)
        xaxis_title = self.parameterAsString(parameters, self.XAXIS_TITLE, context)
        yaxis_title = self.parameterAsString(parameters, self.YAXIS_TITLE, context)

        if title.strip() == "":
            title = None
        if xaxis_title == "":
            xaxis_title = namefieldname
        elif xaxis_title == " ":
            xaxis_title = None
        if yaxis_title.strip() == "":
            yaxis_title = valuefieldname
        elif yaxis_title == " ":
            yaxis_title = None

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

        values = vector.values(source, valuefieldname)

        x_index = source.fields().lookupField(namefieldname)
        x_var = vector.convert_nulls(
            [
                i[namefieldname]
                for i in source.getFeatures(
                    QgsFeatureRequest()
                    .setFlags(QgsFeatureRequest.Flag.NoGeometry)
                    .setSubsetOfAttributes([x_index])
                )
            ],
            "<NULL>",
        )

        msdIndex = self.parameterAsEnum(parameters, self.MSD, context)
        msd = True

        if msdIndex == 1:
            msd = "sd"
        elif msdIndex == 2:
            msd = False

        data = [go.Box(x=x_var, y=values[valuefieldname], boxmean=msd)]

        fig = go.Figure(
            data=data,
            layout_title_text=title,
            layout_xaxis_title=xaxis_title,
            layout_yaxis_title=yaxis_title,
        )

        fig.write_html(output)

        return {self.OUTPUT: output}