#!/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
cases = """
plus2K
2xCO2
plus2K_2xCO2
plusNino_mclim
plusNina_mclim
""".split()
case_default = cases[-1]
case = get_kws_from_argv('case', case_default)

season = 'JAS'
func_es = lambda T: 6.109*np.exp(17.625*T/(T+243.04)) #units: hPa, T units is decC
func_vpd = lambda es,rh: es*(1-rh/100)

#t_ref ctl
ifile = 't_ref_AM2.5_CTL1990s_tigercpu_intelmpi_18_540PE_0101-0200_atmos_daily.region.230_270_20_50.nc'
print('loading...', ifile)
da = xr.open_dataarray(ifile).load().pipe(sel_season, season)
da = (da - 273.15).assign_attrs(units='decC') #K to C
#cache
ifile_tas_ctl = ifile
T_ctl = da

#rh_ref ctl
ifile = ifile_tas_ctl.replace('t_ref', 'rh_ref')
print('loading...', ifile)
da = xr.open_dataarray(ifile).load().pipe(sel_season, season)
#cache
ifile_rh_ctl = ifile
RH_ctl = da

#vpd
print('es_ctl...')
es_ctl = func_es(T_ctl).assign_attrs(units='hPa')
print('vpd_ctl...')
vpd_ctl = func_vpd(es_ctl, RH_ctl).assign_attrs(units='hPa')
vpd_ctl_mean = vpd_ctl.mean('time', keep_attrs=True)

def do_vpd(case=case_default):
    """calculate VPD given the case name, e.g. plus2K, 2xCO2, plus2K_2xCO2"""
    #t_ref
    ifile = ifile_tas_ctl.replace('CTL1990s', 'CTL1990s_'+case).replace('0101-0200', '0101-0150')
    print('loading...', ifile)
    da = xr.open_dataarray(ifile).load().pipe(sel_season, season)
    da = (da - 273.15).assign_attrs(units='decC') #K to C
    #cache
    ifile_tas = ifile
    T = da
    
    #rh_ref
    ifile = ifile_rh_ctl.replace('CTL1990s', 'CTL1990s_'+case).replace('0101-0200', '0101-0150')
    print('loading...', ifile)
    da = xr.open_dataarray(ifile).load().pipe(sel_season, season)
    #cache
    ifile_rh = ifile
    RH = da
    
    print('es...')
    es = func_es(T).assign_attrs(units='hPa')
    print('vpd...')
    es = func_es(T).assign_attrs(units='hPa')
    vpd = func_vpd(es, RH).assign_attrs(units='hPa')
    
    vpd_diff = vpd.mean('time') - vpd_ctl.mean('time')
    vpd_diff.attrs['units'] = 'hPa'

    return vpd_diff

das = {}
for case in cases:
    das[case] = do_vpd(case)
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    figsize = 9,12
    fig,axes = plt.subplots(3, 2, figsize=figsize, dpi=70)
    ax = axes[0,0]
    da = vpd_ctl_mean.pipe(whereland)
    da.plot(ax=ax, levels=np.arange(0, 51, 10), cmap='YlOrBr')
    mapplot(ax=ax)
    ax.set_title('AM2.5 JAS VPD, CTL1990')
    ax.set_xlabel('')
    ax.set_ylabel('')
    ax.set_xlim(360-125, 360-95)
    ax.set_ylim(25, 50)
    
    ax = axes[1]
    for ax,case in zip(axes.flat[1:], cases):
        #da = vpd_diff.pipe(whereland)
        da = das[case].pipe(whereland)
        #if case == 'plus2K': da = da/2*0.26
        da.plot(ax=ax, levels=np.arange(-6, 6.1, 2), cmap='Spectral_r', extend='both')
        mapplot(ax=ax)
        ax.set_title(f'AM2.5 JAS VPD diff, {case}')
        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:
        figname = __file__.replace('.py', f'__diff.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()