#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri Aug  5 11:50:49 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
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#ifile = 'era5.2m_temperature.monthly.200001-202204.nc'
ifile = 'era5.mx2t.daily.200001-202203.nc'
ofile = ifile.replace('.nc', f'.gps_facilities_all.nc')
if os.path.exists(ofile):
    print('[exists]:', ofile)
    sys.exit()
#load data
da = xr.open_dataarray(ifile).load()
df = pd.read_csv('gps_facilities_all.csv', index_col=0)
ds = xr.Dataset(df)

#nearest interp
#daa = da.sel(longitude=ds.longitude, latitude=ds.latitude, method='nearest')
#interp
daa = da.interp(longitude=ds.longitude, latitude=ds.latitude)

#save data
#df['latitude_clim'] = daa.latitude.values
#df['longitude_clim'] = daa.longitude.values
#df.to_csv(ofile)
#ncfile
daa.to_dataset().to_netcdf(ofile)
print('[saved]:', ofile)
#csv file
csvfile = ofile.replace('.nc', '.degC.csv')
(daa - 273.15).to_pandas().to_csv(csvfile)
print('[saved]:', csvfile)

if __name__ == '__main__':
    #from wyconfig import * #my plot settings
    
    #savefig
    if len(sys.argv)>1 and 'savefig' in sys.argv[1:]:
        figname = __file__.replace('.py', f'.png')
        if 'overwritefig' in sys.argv[1:]:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname)
    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv:
        pass
    else:
        plt.show()