#!/usr/bin/env python3
import os
import json

import numpy as np

import matplotlib.pyplot as plt

import xarray as xr
from metpy.interpolate import cross_section
import metpy.calc as mpcalc
from metpy.units import units

import misc

def run(data, plots, output='.'):
    misc.create_output_dir(output)
    index = []

    for plot in plots:
        index.append(_plot(data, output, **plot))

    return index

def _plot(data, output, name, lat, lon):
    index = []

    data = data.sel(latitude=lat, longitude = lon, method='nearest')

    init = misc.np_time_convert(data.time.values)

    init_str = init.strftime('%d %b %Y - %HUTC')
    init_for_filename = init.strftime('%Y-%m-%d-%HUTC')

    fig = plt.figure(figsize=(10, 10), layout="constrained")


    # start figure and set axis
    ax = fig.add_subplot(5,1,(1,2))

    ax.set_ylabel('Pressure level [hPa]')

    clc = ax.contourf(data.valid_time, data.isobaricInhPa, data.ccl.transpose(), cmap='clcov', vmin=0, vmax=100, levels=9)

    # use Format parameter for n/8
    plt.colorbar(clc, label='cloudcov', extendfrac=None, ticks=[100*n/8 for n in range(9)], format=lambda x,_: f'{int(x/12.5)}/8', pad=0.0, fraction=0.015)


    cf = ax.contour(data.valid_time, data.isobaricInhPa, data.t.metpy.convert_units('degC').transpose())
    ax.clabel(cf, inline=True, fontsize=10)

    barbs = ax.barbs(data.valid_time, data.isobaricInhPa, data.u.transpose(), data.v.transpose())

    ax.invert_yaxis()

    ### Temp + Dewpoint
    ax2 = fig.add_subplot(5,1,3,sharex=ax)
    ax2.plot(data.valid_time, data.t2m.metpy.convert_units('degC').transpose(), color='red', label='Temperature (2m)')
    ax2.plot(data.valid_time, mpcalc.dewpoint_from_relative_humidity(data.t2m, data.r2).transpose(), color='blue', label='Dewpoint (2m)')
    ax2.set_ylabel('Temperature [degC]')
    ax2.legend(loc='lower right')

    ## MSLP
    ax3 = fig.add_subplot(5,1,4,sharex=ax)
    ax3.plot(data.valid_time, data.prmsl.metpy.convert_units('hPa').transpose(), color='black', label='Temperature (2m)')
    ax3.set_ylabel('Mean Sea Level Pressure [hPa]')
    #ax3.legend(loc='lower right')
    # TODO: ADD HBAS_CON, HTOP_CON
    # If none: -500m

    ax4 = ax3.twinx()
    ax4.set_ylim(0, 14)
    ax4.set_ylabel('Convective Clouds Height [km]')
    ax4.bar(data.valid_time,
            bottom=data.HBAS_CON.metpy.convert_units('km').transpose(),
            height=(data.hcct.metpy.convert_units('km')-data.HBAS_CON.metpy.convert_units('km')).transpose(),
            align='edge', width=np.timedelta64(3, 'h'))

    ### Info Lines

    info_lines = []
    init = misc.np_time_convert(data.time.values)
    init_str = init.strftime('%d %b %Y - %HUTC')

    info_lines.append(f'{name}')
    info_lines.append(f"INIT : {init_str}")
    info_lines.append(f"LAT {lat} LON {lon}")
    if '_description' in data.attrs:
        info_lines.append(data.attrs['_description'])

    ax_text = fig.add_subplot(5, 1, 5)
    ax_text.text(0, 0, '\n'.join(info_lines), ha='left', va='center',
            size=10, fontfamily='monospace')
    ax_text.axis("off")

    ### Output

    outname = f'{name}_{init_for_filename}.png'
    plt.savefig(os.path.join(output, outname))
    plt.close('all')

    index.append(
        {
            'file': outname,
            'init': init_str,
            'valid': init_str,
            'valid_offset': '00'
        }
    )

    with open(os.path.join(output, f'{name}.index.json'), 'w') as f:
        f.write(json.dumps(index, indent=4))

    return { 'name': name, 'indexfile': f'{name}.index.json' }