"""
    This file is part of MSS.

    :copyright: Copyright 2021-2022 by the MSS team, see AUTHORS.
    :license: APACHE-2.0, see LICENSE for details.

    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
    limitations under the License.
"""

import logging
import warnings
import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.axes_grid1.inset_locator
import matplotlib.colors
import mpl_toolkits.basemap
from matplotlib import patheffects
from mslib.mswms.mpl_hsec import MPLBasemapHorizontalSectionStyle
from mslib.mswms.utils import Targets, get_style_parameters, get_cbar_label_format, make_cbar_labels_readable
from mslib.utils import thermolib
from mslib.utils.units import convert_to

class HS_TemperatureStyle_PL_01(MPLBasemapHorizontalSectionStyle):
    """
    Pressure level version of the temperature style.
    """
    name = "PLTemp01"
    title = "Temperature (degC) and Geopotential Height (m)"

    # Variables with the highest number of dimensions first (otherwise
    # MFDatasetCommonDims will throw an exception)!
    required_datafields = [
        ("pl", "air_temperature", "degC"),
        ("pl", "geopotential_height", "m")]

    def _plot_style(self):
        """
        """
        bm = self.bm
        ax = self.bm.ax
        data = self.data

        cmin = -72
        cmax = 42
        thick_contours = np.arange(cmin, cmax, 6)
        thin_contours = [c for c in np.arange(cmin, cmax, 2)
                         if c not in thick_contours]

        tempC = data['air_temperature']

        tc = bm.contourf(self.lonmesh, self.latmesh, tempC,
                         np.arange(cmin, cmax, 2), cmap=plt.cm.nipy_spectral)
        self.add_colorbar(tc, "Temperature (degC)")

        # Colors in python2.6/site-packages/matplotlib/colors.py
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            cs = bm.contour(self.lonmesh, self.latmesh, tempC,
                            [0], colors="red", linewidths=4)
        cs = bm.contour(self.lonmesh, self.latmesh, tempC,
                        thick_contours, colors="saddlebrown",
                        linewidths=2, linestyles="solid")
        ax.clabel(cs, colors="black", fontsize=14, fmt='%.0f')
        cs = bm.contour(self.lonmesh, self.latmesh, tempC,
                        thin_contours, colors="white",
                        linewidths=1, linestyles="solid")

        # Plot geopotential height contours.
        gpm = self.data["geopotential_height"]
        geop_contours = np.arange(400, 28000, 40)
        cs = bm.contour(self.lonmesh, self.latmesh, gpm,
                        geop_contours, colors="black", linewidths=1)
        if cs.levels[0] in geop_contours[::2]:
            lablevels = cs.levels[::2]
        else:
            lablevels = cs.levels[1::2]
        ax.clabel(cs, lablevels, fontsize=10, fmt='%.0f')

        titlestring = "Temperature (degC) and Geopotential Height (m) at " \
            f"{self.level:.0f} hPa"
        titlestring += f'\nValid: {self.valid_time.strftime("%a %Y-%m-%d %H:%M UTC")}'
        if self.uses_inittime_dimension():
            time_step = self.valid_time - self.init_time
            time_step_hrs = (time_step.days * 86400 + time_step.seconds) // 3600
            titlestring += f' (step {time_step_hrs:d} hrs from {self.init_time.strftime("%a %Y-%m-%d %H:%M UTC")})'

        if not self.noframe:
            ax.set_title(titlestring,
                         horizontalalignment='left', x=0, fontsize=14)
        else:
            ax.text(bm.llcrnrx, bm.llcrnry, titlestring,
                    fontsize=10, bbox=dict(facecolor='white', alpha=0.6))