#!/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
from misc import get_kws_from_argv
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
region = get_kws_from_argv('region', 'southern')
if region == 'southern': #defined by shapefile
    ifile = glob.glob(f'precip_*_{region}_masked.nc')[0]
    ofile = ifile.replace('masked.nc', 'index.nc')
    if 'AM2.5C360' in ifile:
        model = 'AM2.5C360'
    elif 'FLOR' in ifile:
        model = 'FLOR'
elif region == 'northern': #defined by lonlatbox
    lons = slice(360-85, 360-80)
    lats = slice(34.5, 38)
    ifiles = glob.glob('precip_*_hurricaneHelene.nc')
    ifiles.sort()
    if 'AM2.5C360' in ifiles[0]: #model AM2.5C360
        ofile = 'precip_AM2.5C360_amipHadISSTrcp45_tigercpu_intelmpi_18_1080PE_3ens_1871-2100_hurricaneHelene_northern_index.nc'
        model = 'AM2.5C360'
    elif 'FLOR' in ifiles[0]:
        ofile = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1860-2100_hurricaneHelene_northern_index.nc'
        model = 'FLOR'
#https://docs.google.com/document/d/1NvC7xYOEd5ejLpntthWvddubywUZk_mCEDhdAZHIulQ/edit?pli=1#heading=h.5gmk8vl67plq
#Working event definition(s):
#3-day accumulated precipitation June-Sep (more related to the monsoons) maximum in the Philippines, for all land areas above 12.5 deg N
#2-day accumulated precipitation June-September maximum in Taiwan
#2-day accumulated precipitation June-September maximum in Hunan province, China
season = 'JJASON'
N = 3 if region == 'northern' else 2 #rolling window
daname = f'rx{N}day'
units = 'mm'
long_name = f'Rx{N}day precip'
func = lambda da: da.geo.fldmean() \
    .rolling(time=N).sum()  \
    .pipe(sel_season, season) \
    .groupby('time.year').max('time') \
    .assign_attrs(units=units, long_name=long_name)
if os.path.exists(ofile):
    print('[exists]:', ofile)
    da = xr.open_dataarray(ofile)
else:
    #make index
    print('loading...')
    if region == 'southern':
        da = xr.open_dataarray(ifile).load()
    elif region == 'northern':
        da = xr.open_mfdataset(ifiles)['precip'].sel(lon=lons, lat=lats).load()
    #daname = da.name
    print('making index...')
    #rxNday
    da = da.pipe(func)
    #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', keep_attrs=True).plot()
    da.plot(hue='ens')
    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__{model}_{region}.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()