#!/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
from misc.seasons import sel_season
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
funcname = 'zonalmean'
daname = get_kws_from_argv('daname', 'qo3') #qo3, temp, blk_crb

ifile = '/projects/GEOCLIM/xjb/simons/sg/med/sso/SSO_AM41_1850.nc'
ds = xr.open_dataset(ifile)
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 = ds['SSO_O3_CTL']
da_ctl = da

expname = get_kws_from_argv('expname', 'CTL1850_BC_lat0_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))
key = 'SSO_O3_' + expname.split('CTL1850_')[1].split('_Y0011')[0] #e.d. SSO_O3_BC_lat0_L2
da = ds[key]
da_srm = da
year_last = da.time.dt.year.values[-1]


 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import xticks2lat
    season = get_kws_from_argv('season', 'DJF')
    figodir = None #if month is None else 'frames'
    pct = True if 'pct' in sys.argv else False
    cmap = None; vmin = None; levels = 21; vmax = None; extend = None
    if daname in ('blk_crb',): cmap = 'Greys'; vmin = 0; levels = 11
    if daname in ('qo3',): cmap = 'PRGn'
    if daname in ('blk_crb',): vmax = 4e-10; extend = 'both'
    if daname in ('qo3',): vmax = 6e-6; extend = 'both'
    if daname in ('temp',): vmax = 50; extend = 'both'
    figsize = 8,4
    fig,ax = plt.subplots(figsize=figsize)
    with xr.set_options(keep_attrs=True):
        da_ref = da_ctl.groupby('time.season').mean('time').sel(season=season)
        if season == 'DJF':
            da = da_srm.sel(time=slice('0011-12', '0012-02')).mean('time')
        else:
            da = da_srm.sel(time='0012').pipe(sel_season, season).mean('time')
        if pct:
            daa = ( da/da_ref - 1) *100
            daa.attrs['units'] = '%'
        else:
            daa = da - da_ref
    daa.plot.contourf(x='lat', yincrease=False, yscale='log', levels=levels, cmap=cmap, vmin=vmin, vmax=vmax, extend=extend)
    if daname in ('qo3',):
        (da*0 + da_ref).plot.contour(x='lat', yincrease=False, yscale='log', linewidths=0.5)

    title = f'{model} {funcname} {daname} anom: {expname.split("_tiger3")[0]}, 0012{season}'
    #if month is not None: title += f'-{month:02d}'
    ax.set_title(title)
    xticks2lat()
    ax.set_xlabel('')
    #emission level
    if '_L2_' in expname:
        elev = 5.84530754043837
    elif '_L6_' in expname:
        elev = 35.2211968195201
    elif '_L8_' in expname:
        elev = 64.560183540236
    ax.axhline(elev, color='gray', ls='--')

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__{key}_{funcname}_anom_0012{season}.png')
        if figodir is not None: 
            basename = os.path.basename(figname)
            figname = figname.replace(basename, os.path.join(figodir, basename))
        if pct: figname = figname.replace('_anom', '_pct')
        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()