#!/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', 'blk_crb') #qo3, temp
funcname = get_kws_from_argv('funcname', 'zonalmean')
#func = lambda x: x.load().geo.fldmean()
func = funcs[funcname]
dsname = 'atmos_month'
if daname in ('blk_crb', 'sulfate'):
    dsname = 'atmos_month_aer'
elif daname in ('psc_sat', 'psc_nat', 'psc_ice'):
    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

if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import xticks2lat
    month = get_kws_from_argv('month', None)
    if month is not None: month = int(month)
    figodir = None if month is None else 'frames'
    cmap = None; vmin = None; levels = 21; vmax = None; extend = None
    if daname in ('blk_crb',): cmap = 'Greys'; vmin = 0; levels = 11
    #if daname in ('blk_crb',) and month is not None: vmax = 3e-10; extend = 'both'
    #if daname in ('qo3',) and month is not None: vmax = 6e-6; extend = 'both'
    #if daname in ('temp',) and month is not None: vmax = 50; extend = 'both'
    if daname in ('psc_sat',): vmax = 4e-10
    if daname in ('psc_nat',): vmax = 1.2e-8
    if daname in ('psc_ice',): vmax = 1.2e-4
    figsize = 8,4
    fig,ax = plt.subplots(figsize=figsize)
    with xr.set_options(keep_attrs=True):
        da = da_ctl.groupby('time.month').mean('time')
        if month is None:
            da = da.mean('month')
        else:
            da = da.sel(month=month)
    da.plot.contourf(x='lat', yincrease=False, yscale='log', levels=levels, cmap=cmap, vmin=vmin, vmax=vmax, extend=extend)

    title = f'{model} {funcname} {daname}: {expname.split("_tiger3")[0]}'
    if month is not None: title += f', mon{month:02d}'
    ax.set_title(title)
    xticks2lat()
    ax.set_xlabel('')

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        if month is None:
            figname = __file__.replace('.py', f'__{daname}_{funcname}.png')
        else:
            figname = __file__.replace('.py', f'__{daname}_{funcname}_mon{month:02d}.png')
        if figodir is not None: 
            basename = os.path.basename(figname)
            figname = figname.replace(basename, os.path.join(figodir, basename))
        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()