#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Mon Sep 19 13:41:47 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
import xlinregress
from misc.seasons import sel_season
from misc import get_kws_from_argv
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
model = 'AM2.1p1'
model = get_kws_from_argv('model', model)
season = 'JJA'
lmr_version = '2019'
if '2018' in sys.argv: lmr_version = '2018'
yearslice = slice(1551,1650)
def do_season_trend(da, season):
    da = da.pipe(sel_season, season=season).groupby('time.year').mean('time').mean('ens')
    da = da.sel(year=yearslice)
    rg = da.linregress.on(da.year)
    rg['slope'] = (rg['slope']*100).assign_attrs(units='mm/day/century')
    return rg
def wyplot_lonlatbox(lonmin, lonmax, latmin, latmax, **kws):
    ax = kws.pop('ax', plt.gca())
    ax.plot([lonmin, lonmax, lonmax, lonmin, lonmin],
        [latmin, latmin, latmax, latmax, latmin], **kws)
def wyplot_region(region_name, **kws):
    if region_name == 'north-central':
        lonmin,lonmax,latmin,latmax = 100,120,30,40
    elif region_name == 'northeast':
        lonmin,lonmax,latmin,latmax = 120,140,40,50
    wyplot_lonlatbox(lonmin, lonmax, latmin, latmax, **kws)

ifile = f'precip_{model}_LMR{lmr_version}SST1551_ens_tigercpu_intelmpi_18_30PE_5ens_1551-1650_monthly.nc'
if model == 'AM2.5':
    ifile = ifile.replace('30PE', '540PE').replace('5ens', '3ens')
da = xr.open_dataarray(ifile).load()
 
ds = do_season_trend(da, season)
print(ds)
title = f'{model} {season} precip lintrend {yearslice.start}-{yearslice.stop} LMR{lmr_version}SST'
tag = '_' + '_'.join(title.split()).replace('.', 'p')
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    cmap = 'BrBG'
    fig,ax = plt.subplots()
    func = lambda da: da.sel(lon=slice(60, 180), lat=slice(0,60))
    ds.slope.pipe(func).plot.contourf(cmap=cmap, levels=21)
    ds.pvalue.where(ds.pvalue<0.05).pipe(func).plot.contourf(colors='none', hatches=['......'], add_colorbar=False)
    mapplot()
    ax.set_title(title)

    wyplot_region('north-central', color='C0')
    wyplot_region('northeast', color='C1')
    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'{tag}.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()