#!/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 = None #get_kws_from_argv('daname', 'blk_crb_col') #qo3_col
clearsky = True if 'clearsky' in sys.argv else False
funcname = 'netrad_toa_clr' if clearsky else 'netrad_toa' #get_kws_from_argv('funcname', 'glbmean')
#func = lambda x: x.load().geo.fldmean()
def netrad_toa(ds):
    if clearsky:
        da = ds.swdn_toa_clr - ds.swup_toa_clr - ds.olr_clr
    else:
        da = ds.swdn_toa - ds.swup_toa - ds.olr
    da = da.rename(grid_xt='lon', grid_yt='lat').load()
    da = da.geo.fldmean()
    da.attrs['units'] = 'W/m^2'
    if clearsky:
        da.attrs['long_name'] = 'glbmean netrad_toa_clr'
    else:
        da.attrs['long_name'] = 'glbmean netrad_toa'
    return da
func = netrad_toa #funcs[funcname]
dsname = 'atmos_month'


model = 'AM4.1'
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_ctl = da

das = []; labels = []
#
expname = 'CTL1990_BC_lat0_L8_0p1Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L8_0p1Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L6_0p1Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L6_0p1Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L2_0p1Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L2_0p1Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L8_0p2Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L8_0p2Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L6_0p2Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L6_0p2Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L2_0p2Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L2_0p2Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L8_0p5Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L8_0p5Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L6_0p5Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L6_0p5Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L2_0p5Tg_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L2_0p5Tg_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L6_Y0011plus_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L6_Y0011plus')
das.append(da)
labels.append(expname.split("_tiger3")[0])
#
expname = 'CTL1990_BC_lat0_L6_Y0011_tiger3_intel24ifort_openmpi_1536PE'
da = update_modelout_data(daname=daname, model=model, expname=expname, dsname=dsname, func=func, funcname=funcname)#, odir='BC_lat0_L6_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=(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)

    ax.axhline(0, color='gray', ls='--')
    title = f'{model} {funcname} anom'
    ax.set_title(title)
    ax.legend(loc='upper left', bbox_to_anchor=(1,1))

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__{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()