#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Sun Sep 11 08:42:49 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
#LMR sst anomaly plus HadISST base climatology
lmr_version = '2018' if '2018' in sys.argv else '2019'
#years = slice('1200', '1400')
#years = slice('1450', '1550') if '1500' in sys.argv else slice('1200', '1400')
#years = slice('1350', '1450')
years = slice('1250', '1350')
baseyears = slice('1981', '2000')
ofile = f'LMR{lmr_version}_HadISST_sst_{years.start}-{years.stop}_clim.nc'
note = f'HadISST sst monthly climatology over {baseyears.start}-{baseyears.stop} plus LMR{lmr_version} sst anomaly over {years.start}-{years.stop} from the base climatology period.'
print(note)

if os.path.exists(ofile) and not 'o' in sys.argv:
    print('[exists]:', ofile)
    sys.exit()
else:
    #hadisst
    print('HadISST')
    ifile = '/tigress/wenchang/HIRAM/input_wy/HadISST/HadISST_sst.187001-202202.wy.nc'
    print(ifile)
    da = xr.open_dataarray(ifile).sel(time=baseyears)
    #make new time coords for the monthly clim
    t = da.sel(time='1990').time.dt
    time_new = [datetime.datetime(year, month, day) for year,month,day in zip(t.year, t.month, t.day)]
    #monthly clim
    da = da.groupby('time.month').mean('time', keep_attrs=True)
    da = da.rename(month='time').assign_coords(time=time_new)
    da['time'].attrs['modulo'] = ' ' #so the GCM knows the monthly climatology is repeated
    sst_base = da
    
    #lmr
    print('LMR', lmr_version)
    ifile = f'/tigress/gvecchi/DATA/LMR_{lmr_version}/sst_MCruns_ensemble_mean.nc'
    print(ifile)
    da = xr.open_dataarray(ifile)
    daa = da.sel(time=years).mean(['time', 'MCrun']) - da.sel(time=baseyears).mean(['time', 'MCrun'])
    
    #lmr sst interp onto hadisst lon/lat grids
    #first copy lon=0 to lon=360
    daa0 = daa.isel(lon=0)
    daa0 = daa0.assign_coords(lon=daa0.lon.values+360)
    daa = xr.concat([daa, daa0], dim='lon')
    #interp
    sst_anom = daa.interp(lon=sst_base.lon.values, lat=sst_base.lat.values)
    
    #merge
    with xr.set_options(keep_attrs=True):
        sst = sst_base + sst_anom.fillna(0)
    
    #save
    ds = sst.to_dataset(name='sst')
    ds.attrs['note'] = note
    nc_encoding = {'time':{'dtype': 'double', '_FillValue': None, 'calendar': 'gregorian'},
                'lon':{'_FillValue': None},
                'lat':{'_FillValue': None},
                'sst':{'dtype': 'float32', '_FillValue': None},
                }
    ds.to_netcdf(ofile, encoding=nc_encoding, unlimited_dims='time')
    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()