#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Mon Oct 31 13:56:02 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.modelout import update_modelout_data
from misc.landmask import whereocean
import xfilter
nwindow, dimlp = 9, 'year'
lowpass = lambda x: x.filter.lowpass(1/nwindow, dim=dimlp, padtype='old')
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
daname = 'ice_mask'
model = 'CM2.1p1'
#expname = 'CTL1860_m6pctSolar_tigercpu_intelmpi_18_80PE'
#model = 'FLOR'
#expname = 'm6p0sol_CTL1860_tigercpu_intelmpi_18_576PE'
#label = '$-$6% solar'
expname = 'CTL1860_m4pctSolar_tigercpu_intelmpi_18_80PE'
label = '$-$4% solar'
func = lambda x: x.load().pipe(whereocean).mean('lon')
if model == 'FLOR':
    func = lambda x: x.load().rename(grid_xt='lon', grid_yt='lat').pipe(whereocean).mean('lon')
funcname = 'olonmean'
da = update_modelout_data(daname=daname, model=model, expname=expname, func=func, funcname=funcname)
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    fig,ax = plt.subplots()
    da_ = da.groupby('time.year').mean('time')
    da_.plot.contourf(x='year', cmap='Blues_r', levels=11)
    title = f'{daname} {label} {model} {funcname}'
    ax.set_title(title)
    tag = title.replace('$-$', 'm').replace('%', '').replace(' ', '_')
    
    #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()