#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri Sep  9 16:18:43 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.seasons import sel_season
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
def roll_lon(da, lonmax=180):
    if lonmax == 180:
        if da.lon.max() > 180:
            da = da.roll(lon=da.lon.size//2, roll_coords=True)
            lon_new = da.lon.where(da.lon<=180, other=da.lon-360).values
            da = da.assign_coords(lon=lon_new)
    elif lonmax == 360:
        if da.lon.min() < 0:
            da = da.roll(lon=da.lon.size//2, roll_coords=True)
            lon_new = da.lon.where(da.lon>0, other=da.lon+360).values
            da = da.assign_coords(lon=lon_new)
    return da
#model = 'AM2.5C360' if 'AM2.5C360' in sys.argv else 'FLOR'
model = os.path.basename(os.getcwd())
#print(model); exit()
if model == 'FLOR':
    ifile = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1860-2100_EA.nc'
else:
    ifile = 'precip_AM2.5C360_amipHadISSTrcp45_tigercpu_intelmpi_18_1080PE_3ens_1871-2100_EA.nc'
#ifiles = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_ens??_1860-2100_NHE.nc'
years = slice('1991', '2020')
season = """
OND
MAM
""".split()[-1]
tag = f'{model}_{season}{years.start}-{years.stop}'
ofile = __file__.replace('.py', f'_{tag}.nc')
if os.path.exists(ofile) and not 'o' in sys.argv:
    print('[loaded]:', ofile)
    da = xr.open_dataarray(ofile)
else:
    #ds = xr.open_mfdataset(ifiles, combine='nested', concat_dim=['time', 'ens'])
    #daname = list(ds.data_vars)[0]
    #da = ds[daname].sel(time=years).pipe(sel_season).load().mean(['time', 'ens'], keep_attrs=True)
    print('loading...')
    da = xr.open_dataarray(ifile)
    da = da.sel(time=years).load().pipe(sel_season, season=season).mean(['time', 'ens'], keep_attrs=True)
    print('saving...')
    da.to_dataset().to_netcdf(ofile)
    print('[saved]:', ofile)

def plot_subregion(region_name='region of the event', **kws):
    ax = kws.pop('ax', plt.gca())
    label = kws.pop('label', region_name)
    df = pd.read_csv('../region.txt', sep='\s+')
    lon, lat = df['x'], df['y']
    if lon.min()<0: lon += 360

    ax.plot(lon, lat, label=label, **kws)


 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    fig, ax = plt.subplots(figsize=(5,4))
    #da.plot(cmap='YlGnBu', vmax=10, vmin=0, levels=11)
    #func = lambda da: (da - 273.15).assign_attrs(units='degC')
    #da.pipe(func).plot(center=False, vmin=0, vmax=30, levels=31, cmap='Spectral_r')
    func = lambda da: da.assign_attrs(units='mm/day')
    da.pipe(func).plot(center=False, vmin=0, vmax=15, levels=16, cmap='YlGnBu', extend='max')
    mapplot()
    plot_subregion(color='k', lw=1)
    #plot_subregion('IndusBasin', color='C1')

    ax.set_xlabel('')
    ax.set_ylabel('')
    #ax.legend(loc='upper left')
    ax.set_title(f'{model} {da.name} {tag.replace("_", " ")}')
    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        #figname = __file__.replace('.py', f'.png')
        figname = ofile.replace('.nc', 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()