#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri Sep  9 15:20:10 EDT 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
from misc.wyregionmask import flag_region
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
region = __file__.split('wymask')[-1].split('.')[0]
print(region)
region_file = f'region{region}.csv'
df = pd.read_csv(region_file)
lon = df['lon']
lat = df['lat']
 
#ifiles = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_ens??_1860-2100_Pakistan.nc'
ifiles = glob.glob('precip_AM2.5C360_*_Pakistan.nc')
ifiles.sort()
ifiles = [ifiles[0:10], ifiles[10:20], ifiles[20:30]]
#n_files = len(glob.glob(ifiles))
#ofile = ifiles.replace('ens??', f'{n_files}ens').replace('.nc', f'_{region}.nc') 
ofile = f'precip_AM2.5C360_amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_10ens_1871-2021_Pakistan_{region}.nc'
print(f'{ifiles = }')
print(f'{ofile = }')
if os.path.exists(ofile) and not 'o' in sys.argv:
    print('[exists]:', ofile)
    sys.exit()

print('reading...')
ds = xr.open_mfdataset(ifiles, combine='nested', concat_dim=['time', 'ens']).load()

#mask
print('masking...')
region_flags = flag_region(ds, lon, lat)
ds = ds.where(region_flags==0)

#save
print('saving...')
nc_encoding = {vv:{'zlib': True, 'complevel': 1} for vv in list(ds.data_vars)}
ds.to_netcdf(ofile, encoding=nc_encoding)
print('[saved]:', ofile)
 
if __name__ == '__main__':
    #from wyconfig import * #my plot settings
    
    #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()