#!/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 = 12*3, 'time'
lowpass = lambda x: x.filter.lowpass(1/nwindow, dim=dimlp, padtype=None)
#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', 'blk_crb') #qo3
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'):
    dsname = 'atmos_month_aer'


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='../SRM/CTL')#, years=range(100,201))
da_ctl1850 = da
expname = 'CTL1990_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_ctl1990 = da

das = []; labels = []
#
expname = 'CTL1850_BC_L2_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname, odir='../SRM/BC_L2')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_L2_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname, odir='./BC_L2_Y0011')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat30NS_L2_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname, odir='./BC_lat30NS_L2_Y0011')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat30NS_L2_0p15Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname, odir='BC_lat30NS_L2_0p15Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat30NS_L2_0p18Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname, odir='BC_lat30NS_L2_0p18Tg_Y0011plus')
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=(6,6))
    with xr.set_options(keep_attrs=True):
        da_ref1850 = da_ctl1850.groupby('time.month').mean('time')
        da_ref1990 = da_ctl1990.groupby('time.month').mean('time')
        colors = plt.colormaps['turbo'](np.linspace(0.1, 0.9, len(das)))
        for da_bc,label,color in zip(das, labels, colors):
            da_ref = da_ref1850 if 'CTL1850' in label else da_ref1990
            if pct:
                daa = ( da_bc.groupby('time.month')/da_ref - 1) *100
                daa.attrs['units'] = '%'
            else:
                daa = da_bc.groupby('time.month') - da_ref
            if 'plus' in label:
                daa = daa.isel(time=slice(-12*10, None)).mean('time', keep_attrs=True) #last 10 years for continuous emission exp
            else:
                daa = daa.sel(time='0012').mean('time', keep_attrs=True) #first year after emission finishes
            #plot
            daa.plot(color=color, label=label, y='pfull', yscale='log', yincrease=False)
                

    title = f'{model} {funcname} {daname} anom'
    ax.set_title(title)
    #ax.legend(bbox_to_anchor=(1,1), loc='upper left')
    ax.legend()
    ax.axhline(5.84530754043837, 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()