#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Tue Jun 29 14:35:53 EDT 2021
if __name__ == '__main__':
    from misc.timer import Timer
    tt = Timer(f'start {__file__}')
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
daname = 'mx2t'#, 'swvl1'#,'t2m'
dsname = '2m_temperature_max'#, 'volumetric_soil_water_layer_1'
lons = slice(42, 52)
lats = slice(-10, -30)
#idir = '/tigress/wenchang/data/era5/raw/monthly/2m_temperature'
#idir = f'/tigress/wenchang/data/era5/raw/monthly/{dsname}'
idir = f'/tigress/wenchang/data/era5/analysis_wy/{dsname}/daily/'
print(f'{idir = }')
ifiles = [os.path.join(idir, f'era5.{dsname}.daily.{year}-{month:02d}.nc')
    for year in range(2000,2021+1)
    for month in range(1,12+1)
    ]
#ofile = 'era5.2m_temperature.monthly.1979-2020.nc'
#ifiles.append(os.path.join(idir, f'era5.{dsname}.monthly.202204.nc'))
ifiles2022 = [os.path.join(idir, f'era5.{dsname}.daily.2022-{month:02d}.nc') for month in range(1,3+1)]
ifiles = ifiles + ifiles2022
for ifile in ifiles: print(ifile)
ofile = f'era5.{daname}.daily.200001-202203.nc'
if os.path.exists(ofile):
    print('[exists]:', ofile)
    sys.exit()

print('loading...')
#ds = xr.open_mfdataset(ifiles).load()
ds = xr.open_mfdataset(ifiles).sel(longitude=lons, latitude=lats).load()

#save data
print('saving...')
encoding = {daname: {'dtype': 'float32', 'zlib': True, 'complevel': 1}}
ds.to_netcdf(ofile, encoding=encoding)
print('[saved]:', ofile)
 
 
if __name__ == '__main__':
    #from wyconfig import * #my plot settings
    
    #savefig
    if 'savefig' in sys.argv:
        figname = __file__.replace('.py', f'.png')
        wysavefig(figname)
    tt.check(f'**Done**')
    plt.show()