#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Oct  5 11:09:59 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 modelout import get_modelout_data, update_modelout_data
from misc import get_kws_from_argv
import xfilter
nwindow, dimlp = 9, 'year'
#lowpass = lambda x: x.filter.lowpass(1/nwindow, dim=dimlp, padtype='odd')
lowpass = lambda x: x.rolling(year=nwindow, center=True, min_periods=1).mean() if x.year.size>9 else x
import geoxarray
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#daname = 't_surf'
from modelout.getdata import funcs
daname = get_kws_from_argv('daname', 'sulfate_col') #qo3_col
funcname = get_kws_from_argv('funcname', 'glbmean')
#func = lambda x: x.load().geo.fldmean()
func = funcs[funcname]
dsname = 'atmos_month'
if daname in ('blk_crb_col', 'sulfate_col'):
    dsname = 'atmos_month_aer'
elif daname in ('loadso4', ):
    dsname = 'atmos_tracer'


model = 'AM4.1'
expname = 'CTL1850_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname, odir='../CTL')#, years=range(100,201))
da_ctl = da

das = []; labels = []
expname = 'CTL1850_SO2_L2_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, years=range(100,201))
das.append(da)
labels.append(expname.split("_tiger3")[0])
expname = 'CTL1850_SO2_L8_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='../SO2_L8')#, years=range(100,201))
das.append(da)
labels.append(expname.split("_tiger3")[0])
expname = 'CTL1850_SO2_L6_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='../SO2_L6')#, years=range(100,201))
das.append(da)
labels.append(expname.split("_tiger3")[0])
expname = 'CTL1850_SO2_lat0_L6_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='../SO2_lat0_L6')#, years=range(100,201))
das.append(da)
labels.append(expname.split("_tiger3")[0])
expname = 'CTL1850_SO2_lat0_L6_20Tg_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='../SO2_lat0_L6_20Tg')#, years=range(100,201))
das.append(da)
labels.append(expname.split("_tiger3")[0])


 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    pct = True if 'pct' in sys.argv else False
    #ctl
    fig,ax = plt.subplots(figsize=(8,4))
    with xr.set_options(keep_attrs=True):
        da_ref = da_ctl.groupby('time.month').mean('time')
        for da_bc,label in zip(das, labels):
            if pct:
                daa = ( da_bc.groupby('time.month')/da_ref - 1) *100
                daa.attrs['units'] = '%'
            else:
                daa = da_bc.groupby('time.month') - da_ref
            daa.plot(label=label)

    title = f'{model} {funcname} {daname} anom'
    ax.set_title(title)
    ax.legend()
    ax.axhline(0, color='gray', ls='--')

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__{daname}_{funcname}_anom.png')
        if pct: figname = figname.replace('_anom.png', '_pct.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()