#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Mon Jul 19 14:39:12 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
import regionmask
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#read lons/lats from txt file
ifile = 'mask.txt'
df = pd.read_csv(ifile, sep='\s')
#create regions object based on the outline
outline = [(lon, lat) for lon,lat in zip(df.lon.values, df.lat.values)]
region = regionmask.Regions(name='mask', numbers=[1,], names=['euroflooding2021',], abbrevs=['EF2021',], outlines=[outline,])

lons = slice(3,7)
lats = slice(48,52)
#used to generate mask
datafile = '/tigress/wenchang/MODEL_OUT/AM2.5C360/amipHadISST_chancorr_tigercpu_intelmpi_18_1080PE/en01/POSTP/20180101.atmos_month.nc'
ofile = f'mask_p25_3E7E48N52N.nc'
#datafile = '/tigress/wenchang/MODEL_OUT/HistRCP45_tigercpu_intelmpi_18_576PE/en01/POSTP/20180101.atmos_month.nc'
#ofile = f'mask_p5_3E7E48N52N.nc'
if os.path.exists(ofile):
    mask = xr.open_dataarray(ofile)
    print('[loaded]:', ofile)
else:
    #create mask for model output data
    da = xr.open_dataset(datafile)['precip'].rename(grid_xt='lon', grid_yt='lat').sel(lon=lons, lat=lats)
    mask = region.mask(da) 
    #save mask to nc file
    mask.to_dataset().to_netcdf(ofile)
    print('[saved]:', ofile)

if __name__ == '__main__':
    from wyconfig import * #my plot settings
    import cartopy.crs as ccrs
    from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
    fig = plt.figure(figsize=(6,5))
    region.plot()
    ax = plt.gca()
    mask.plot(ax=ax, add_colorbar=False)
    #ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False)
    ax.set_xticks(range(3,8))#, crs=ccrs.PlateCarree())
    ax.set_yticks(range(48,53))
    lon_formatter = LongitudeFormatter(zero_direction_label=True)
    lat_formatter = LatitudeFormatter()
    ax.xaxis.set_major_formatter(lon_formatter)
    ax.yaxis.set_major_formatter(lat_formatter)
    ax.gridlines()
    ax.set_xlabel('')
    ax.set_ylabel('')
    ax.set_title(ofile.replace('.nc', ''))
    
    #savefig
    if 'savefig' in sys.argv:
        #figname = __file__.replace('.py', f'.png')
        figname = ofile.replace('.nc', '.png')
        wysavefig(figname)
    tt.check(f'**Done**')
    plt.show()