#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Tue Jun 29 16:14:32 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 geoxarray
from misc.landmask import flagland
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
tspan = slice('1981', '2010')
lons = slice(360-123, 360-119)
lats = slice(45, 52)
sel_region = lambda x: x.sel(lon=lons, lat=lats)
ofile_nc = __file__.replace('.py', '.nc')
if os.path.exists(ofile_nc):
    ds = xr.open_dataset(ofile_nc)
    print('[loaded]:', ofile_nc)
else:
    ifile = 'data_tmax_FLOR_histRCP45_5ens_1860-2100.nc'
    print('loading...')
    da = xr.open_dataarray(ifile).sel(time=tspan).pipe(sel_region).load()
    print('calculating...')
    landflag = da.pipe(flagland)
    da = da.where(landflag>0.5).geo.fldmean()
    damean = da.groupby('time.dayofyear').mean(['time', 'en'])
    da_quantile = da.groupby('time.dayofyear').quantile([0.025, 0.17, 0.83, 0.975], dim=['time', 'en'])
    ds = xr.Dataset(dict(m=damean, q=da_quantile))
    print('saving...')
    ds.to_netcdf(ofile_nc)
    print('[saved]:', ofile_nc)
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    ds = ds.pipe(lambda x: x-273.15)
    fig, ax = plt.subplots()
    ds.m.plot(color='k', label='mean')
    for qi in ds['quantile'].values:
        ds.q.sel(quantile=qi).plot(ax=ax, label=f'{qi*100:.1f}%')
    xticks = np.cumsum([1, 31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30])
    xticklabels = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
    ax.set_xticks(xticks)
    ax.set_xticklabels(xticklabels)
    ax.set_xlim(1, 366)
    ax.set_xlabel('')
    ax.set_ylabel('tmax [$^\circ$C]')
    ax.set_title('')
    ax.text(0,1, f' {360-lons.start}-{360-lons.stop}W, {lats.start}-{lats.stop}N, land', transform=ax.transAxes,
        ha='left', va='top')
    ax.legend(loc='upper left')
    ax.set_title('tmax from GFDL-CM2.5/FLOR historical (1981-2010)')
    
    #savefig
    if 'savefig' in sys.argv:
        figname = __file__.replace('.py', f'.png')
        wysavefig(figname)
    tt.check(f'**Done**')
    plt.show()