#!/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
#
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 = 'FLOR'
#ifiles = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_ens??_1860-2100_NHE.nc'
ifiles = [
    sorted(glob.glob('precip_AM2.5C360_amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_ens??_1871-2019_NHE.nc')),
    sorted(glob.glob('precip_AM2.5C360_amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_extend2020_ens??_2020-2020_NHE.nc')),
    sorted(glob.glob('precip_AM2.5C360_amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_extend2021_ens??_2021-2021_NHE.nc')),
    ]
years = slice('1950', '2021')
season = 'JJA'
sel_season = lambda da: da.isel(time=(da.time.dt.month>=6)&(da.time.dt.month<=8))
tag = f'{years.start}-{years.stop}_{season}'
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)
    da.to_dataset().to_netcdf(ofile)
    print('[saved]:', ofile)

def plot_subregion(region_name='WCE', **kws):
    ax = kws.pop('ax', plt.gca())
    label = kws.pop('label', region_name)
    lon = [-10, -10, 40, 40, -10]
    lat = [45, 48, 61.3, 45, 45]

    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=(6,2.5))
    da.pipe(roll_lon, 180).plot(cmap='YlGnBu', vmax=10, vmin=0, levels=11)
    mapplot()
    plot_subregion('WCE', color='lightgray', 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("_", " ")} climatology')
    
    #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()