#!/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
ndays = 4
season = 'JJAS'
daname = f'rx{ndays}day{season}'
units = 'mm'
long_name = f'{season} Rx{ndays}day precip'
ifile = glob.glob('precip_*_atmos_daily.landfldmean.20_28.5_36_42.5.nc')[0]
print(f'{ifile = }')
ofile = 'index.' +  ifile.replace('atmos_daily.landfldmean.20_28.5_36_42.5.nc', f'{daname}.nc')
print(f'{ofile = }')
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...')
    #rx2day
    da = da.rolling(time=ndays).sum().pipe(sel_season, season).groupby('time.year').max('time') \
        .assign_attrs(units=units, long_name=long_name)
    #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
    for ii in da.ens.values:
        da.sel(ens=ii).plot(lw=1, color='C0', alpha=0.1)
    da.mean('ens', keep_attrs=True).plot(color='C0', ls='-')
    
    #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()