#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Oct 19 19:06:25 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 get_modelout_data
from geoplots import mapplot
import geoxarray
from misc import get_kws_from_argv
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#daname = 't_surf'
daname = 'ice_mask'
daname = get_kws_from_argv('daname', daname)
transform = get_kws_from_argv('transform', None)
model = 'CM2.1p1'
#model = 'FLOR'

years_ctl = range(101,201)
#years = range(101,121)
#years = range(491,511)
#years = range(591,611)
#years = range(691,711)
#years = range(791,811)
years = 'last'
if model == 'CM2.1p1':
    exps = [('CTL', 'CTL1860_tigercpu_intelmpi_18_80PE'),
        ('+6% Solar', 'CTL1860_p6pctSolar_tigercpu_intelmpi_18_80PE'),
        ('-6% Solar', 'CTL1860_m6pctSolar_tigercpu_intelmpi_18_80PE'),
    ]
elif model == 'FLOR':
    exps = [('CTL', 'CTL1860_newdiag_tigercpu_intelmpi_18_576PE'),
        ('+6% Solar', 'p6p0sol_CTL1860_tigercpu_intelmpi_18_576PE'),
        ('-6% Solar', 'm6p0sol_CTL1860_tigercpu_intelmpi_18_576PE'),
    ]

das = dict()
for label,expname in exps[0:1]:
    if label=='CTL':
        das[label] = get_modelout_data(daname=daname, model=model, expname=expname, years=years_ctl)
    else:
        das[label] = get_modelout_data(daname=daname, model=model, expname=expname, years=years)

label,expname = '$-$6% Solar', 'CTL1860_m6pctSolar_tigercpu_intelmpi_18_80PE'
#label,expname = '$-$6% Solar', 'm6p0sol_CTL1860_tigercpu_intelmpi_18_576PE'
das[label] = get_modelout_data(daname=daname, model=model, expname=expname, years=years)
years = das[label].time.dt.year.values #actual years selected
 
def wyplot(label='$-$6% Solar', transform=None, **kws):
    ax = kws.pop('ax', plt.gca())
    daa = das[label].mean('time') - das['CTL'].mean('time')
    if transform is not None:
        if transform == 'flip':
            daa = -daa
        elif transform == 'norm':
            daa_ref = daa.geo.fldmean()
            daa = daa/daa_ref
    levels = np.linspace(-4,4,17) if transform=='norm' else 21 # np.linspace(-16,16,33)
    daa.attrs['units'] = '' if transform == 'norm' else das['CTL'].attrs['units']
    cmap = 'PuOr' if daname in ('ice_mask',) else None
    daa.plot.contourf(levels=levels, extend='both', center=0, cmap=cmap, **kws)
    mapplot()
    title = f'{label} {model} {daname} years {years[0]:04d}-{years[-1]:04d}'
    if transform is not None:
        title += f' {transform}'
    ax.set_title(title)
    return title
    
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    fig,ax = plt.subplots()
    title = wyplot(label, transform=transform)

    #savefig
    tag = '__' + title.replace('$+$', 'p').replace('$-$', 'm').replace('%','').replace(' ', '_')
    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)

    """
    fig,ax = plt.subplots()
    title = wyplot('-6% Solar')
    #savefig
    tag = '_' + title.replace('+6%', 'p6').replace('-6%', 'm6').replace(' ', '_')
    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)

    fig,ax = plt.subplots()
    title = wyplot('-6% Solar', transform='flip')
    #savefig
    tag = '_' + title.replace('+6%', 'p6').replace('-6%', 'm6').replace(' ', '_')
    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)
    #fig,ax = plt.subplots()
    #wyplot('+6% Solar', transform='norm')
    #fig,ax = plt.subplots()
    #wyplot('-6% Solar', transform='norm')
    """
    
    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv:
        pass
    else:
        plt.show()