#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Dec 14 09:50:06 EST 2022
if __name__ == '__main__':
    import sys
    from misc.timer import Timer
    tt = Timer('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
import geoxarray
from misc.seasons import sel_season
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#ifile = 't_ref_max_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1860-2100_Argentina_masked.nc'
ifile = sys.argv[1] #e.g. precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1860-2100_CSA_masked.nc
ofile = ifile.replace('masked.nc', 'index.nc')
if os.path.exists(ofile):
    print('[exists]:', ofile)
    da = xr.open_dataarray(ofile)
else:
    #make index
    print('loading...')
    da = xr.open_dataarray(ifile).load()
    daname = da.name
    print('making index...')
    #OND-mean
    da = da.geo.fldmean() \
        .pipe(sel_season, 'OND').groupby('time.year').mean('time', keep_attrs=True)
    if daname in ('t_ref',):
        da = da.pipe(lambda x: x-273.15).assign_attrs(units='degC')
    #print(da); sys.exit()
    
    #save
    print('saving...')
    da.to_dataset(name=daname).to_netcdf(ofile)
    print('[saved]:', ofile)
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    da.mean('ens').plot()
    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'.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:
        pass
    else:
        plt.show()