#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Tue Oct 31 15:24:39 EDT 2023
if __name__ == '__main__':
    import sys,os
    from misc.timer import Timer
    tt = Timer(f'[{os.getcwd()}] start ' + ' '.join(sys.argv))
import sys, os.path, os, glob, datetime
import xarray as xr, numpy as np, pandas as pd, matplotlib.pyplot as plt
#more imports
wython = '/tigress/wenchang/wython'
if wython not in sys.path: sys.path.append(wython); print('added to python path:', wython)
from misc import get_kws_from_argv
from misc.seasons import sel_season
from misc.landmask import whereland
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
season = 'JAS'
func_es = lambda T: 6.109*np.exp(17.625*T/(T+243.04)) #units: hPa
func_vpd = lambda es,rh: es*(1-rh/100)

ens = get_kws_from_argv('ens', default=None)
if ens is not None: ens = int(ens)
#ifile = 'data_AM2.5C360_amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_10ens_1980-2019_vpd_JASmean.nc'
ifile = 'data_AM2.5_amipHadISSTlongChancorr_tigercpu_intelmpi_18_540PE_3ens_1980-2020_vpd_JASmean.nc'
vpd = xr.open_dataarray(ifile)
vpd = vpd.sel(lon=slice(230,270), lat=slice(20,50))
vpd.attrs['units'] = 'hPa'

vpd_1980to2019 = vpd.sel(time=slice('1980', '2019')).mean('time', keep_attrs=True)
vpd_diff = vpd.sel(time=slice('2010', '2019')).mean('time') - vpd.sel(time=slice('1980', '1999')).mean('time')
vpd_diff.attrs['units'] = 'hPa'
n_ens = vpd.ens.size
vpd_diff_ens = vpd_diff

#data for figure
if ens is None:
    vpd_1980to2019 = vpd_1980to2019.mean('ens', keep_attrs=True)
    vpd_diff = vpd_diff.mean('ens', keep_attrs=True)
else:
    vpd_1980to2019 = vpd_1980to2019.sel(ens=ens)
    vpd_diff = vpd_diff.sel(ens=ens)

 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    figsize = 8,4
    fig,axes = plt.subplots(1,2,figsize=figsize)
    ax = axes[0]
    da = vpd_1980to2019.pipe(whereland)
    da.plot(ax=ax, levels=np.arange(0, 51, 10), cmap='YlOrBr')
    mapplot(ax=ax)
    if ens is None:
        ax.set_title(f'AM2.5 JAS VPD, 1980-2019,\n {n_ens}ens mean')
    else:
        ax.set_title(f'AM2.5 JAS VPD, 1980-2019,\n ens{ens:02d}')
    ax.set_xlabel('')
    ax.set_ylabel('')
    ax.set_xlim(360-125, 360-95)
    ax.set_ylim(25, 50)
    
    ax = axes[1]
    da = vpd_diff.pipe(whereland)
    da.plot(ax=ax, levels=np.arange(-6, 6.1, 2), cmap='Spectral_r', extend='both')
    mapplot(ax=ax)
    if ens is None:
        ax.set_title(f'AM2.5 JAS VPD diff,\n 2010-2019 minus 1980-1999, {n_ens}ens mean')
    else:
        ax.set_title(f'AM2.5 JAS VPD diff,\n 2010-2019 minus 1980-1999, ens{ens:02d}')
    ax.set_xlabel('')
    ax.set_ylabel('')
    ax.set_xlim(360-125, 360-95)
    ax.set_ylim(25, 50)

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        if ens is None:
            figname = __file__.replace('.py', f'__diff_{n_ens}ensmean.png')
        else:
            figname = __file__.replace('.py', f'__diff_ens{ens:02d}.png')
        if 'overwritefig' in sys.argv or 'o' in sys.argv:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname)

    #individual ens
    #g = vpd_diff_ens.pipe(whereland).plot(col='ens', col_wrap=4,
    #    levels=np.arange(-6,6.1,2), cmap='Spectral_r', extend='both', figsize=(12,8), dpi=70)
    figsize = 8,3
    fig,axes = plt.subplots(1, 3, figsize=figsize, sharex=True, sharey=True)#, dpi=100)
    for ii,ax in zip(vpd_diff_ens.ens.values, axes.flat):
        da = vpd_diff_ens.sel(ens=ii).pipe(whereland)
        im = da.plot(ax=ax, levels=np.arange(-6, 6.1, 2), cmap='Spectral_r', extend='both', add_colorbar=False)
        mapplot(ax=ax)
        ax.set_xlabel('')
        ax.set_ylabel('')
        ax.set_xlim(360-125, 360-95)
        ax.set_ylim(25, 50)
    #for ax in axes.flat[-2:]: ax.set_visible(False)
    #fig.colorbar(im, ax=axes.flat[-2:], orientation='horizontal', pad=-0.6, shrink=0.6, label=vpd_diff_ens.attrs['units'])
    fig.colorbar(im, ax=axes, label=vpd_diff_ens.attrs['units'])
    fig.suptitle(f'AM2.5 JAS VPD diff, 2010-2019 minus 1980-1999')

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__diff_{n_ens}ens.png')
        if 'overwritefig' in sys.argv or 'o' in sys.argv:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname) 

    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv or 'n' in sys.argv:
        pass
    else:
        if 'plt' in globals(): plt.show()