#!/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
from misc.landmask import whereland
import salem
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
daname = 'precip'
#model = 'AM2.5C360' if 'AM2.5C360' in sys.argv else 'FLOR'
model = os.path.basename(os.getcwd())
#ifile = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1981-2020_region.18_30_35_45.nc'
#ifile = glob.glob('precip_*_region.18_30_35_45.nc')[0]
#if model=='AM2.5C360':
#    ifile = 'precip_AM2.5C360_amipHadISSTrcp45_tigercpu_intelmpi_18_1080PE_3ens_1990-2020_region.285_320_-40_-15.RioGrandeLarge.nc'
#elif model == 'FLOR':
#    ifile = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1990-2020_region.285_320_-40_-15.RioGrandeLarge.nc'
#ifiles = glob.glob('precip_*_hurricaneHelene.nc')
#ifiles.sort()
#print(f'{ifiles = }')
ifile = glob.glob('precip_*_Melissa.nc')[0]
#ifiles = 'precip_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_ens??_1860-2100_NHE.nc'
years = slice('1991', '2020')
#years = slice('1990', '2020')
season = """
JJAS
JJASON
SON
""".split()[-1]
tag = f'{model}_{season}{years.start}-{years.stop}'
ofile = __file__.replace('.py', f'__{tag}.nc')
if os.path.exists(ofile) and not 'od' 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_mfdataset(ifiles)[daname] 
    da = xr.open_dataset(ifile)[daname] 
    da = da.assign_coords(lon=da.lon.values-360) #lon convert 180-360 to -180-0
    #da = da.assign_coords(lon=da.lon.values-360) # convert values >180 to negative
    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)
    #lonmin,lonmax,latmin,latmax = 20, 28.5, 36, 42.5
    #lon = [lonmin, lonmax, lonmax, lonmin, lonmin]
    #lat = [latmin, latmin, latmax, latmax, latmin]

    #southern region
    shapefiles = [f'../shapefiles/sf_{region}.shp' for region in ('jamaica', 'eastcuba')]
    for shapefile in shapefiles:
        shdf = salem.read_shapefile(shapefile)
        #ax.plot(lon, lat, label=label, **kws)
        shdf.boundary.plot(ax=ax, **kws)
    ##northern region
    #lon0, lon1 = -85, -80
    #lat0, lat1 = 34.5, 38
    #ax.plot([lon0, lon1, lon1, lon0, lon0], [lat0, lat0, lat1, lat1, lat0], **kws)


 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    figsize = None
    fig, ax = plt.subplots(figsize=figsize)
    #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.pipe(whereland).assign_attrs(units='mm/day')
    func = lambda da: da.assign_attrs(units='mm/day')
    #vmin, vmax, levels = None, None, None
    vmin, vmax, levels = 0, 15, 16
    da.pipe(func).plot(center=False, vmin=vmin, vmax=vmax, levels=levels, cmap='YlGnBu')#, extend='max')
    mapplot()
    plot_subregion(color='C1', lw=1)
    #plot_subregion('IndusBasin', color='C1')

    ax.set_xlabel('')
    ax.set_ylabel('')
    #ax.legend(loc='upper left')
    ax.set_title(f'{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()