#!/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 modelout.getdata import funcs
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'
daname = None
#func = lambda x: x.load().geo.fldmean()
#funcname = 'glbmean'
#func = funcs['nino34']
#funcname = 'nino34'
func = funcs['amoc']
funcname = 'amoc'
dsname = 'ocean'

cleanup = False #remove cache or not

das = []
labels = []

model = 'FLOR'
#ctl1990_v201905
label = 'FLOR_ctl_1990_v201905'
expname = 'CTL1990_v201905_tigercpu_intelmpi_18_576PE'
da = get_modelout_data(dsname=dsname, daname=daname, model=model, expname=expname, func=func, funcname=funcname, years=range(1901,2100+1))
labels.append(label)
das.append(da)
#ctl1990_v201905_FA
label = 'FLOR_ctl_1990_v201905_FA'
expname = 'CTL1990_v201905_FA_tigercpu_intelmpi_18_576PE'
da = update_modelout_data(daname=daname, dsname=dsname, model=model, expname=expname, func=func, funcname=funcname)#, years=range(100,201))
labels.append(label)
das.append(da)
#ctl1990_v201905_FA05
label = 'FLOR_ctl_1990_v201905_FA05'
expname = 'CTL1990_v201905_FA05_tigercpu_intelmpi_18_576PE'
da = update_modelout_data(daname=daname,dsname=dsname, model=model, expname=expname, func=func, funcname=funcname)#, years=range(100,201))
labels.append(label)
das.append(da)
#ctl1990_v201905_FA05trop
label = 'FLOR_ctl_1990_v201905_FA05trop'
expname = 'CTL1990_v201905_FA05trop_tigercpu_intelmpi_18_576PE'
da = update_modelout_data(daname=daname, dsname=dsname, model=model, expname=expname, func=func, funcname=funcname)#, years=range(100,201))
labels.append(label)
das.append(da)
#ctl1990_v201905_FAtrop
label = 'FLOR_ctl_1990_v201905_FAtrop'
expname = 'CTL1990_v201905_FAtrop_tigercpu_intelmpi_18_576PE'
da = update_modelout_data(daname=daname, dsname=dsname, model=model, expname=expname, func=func, funcname=funcname)#, years=range(100,201))
labels.append(label)
das.append(da)

#units
units = da.attrs['units']
 
def wyplot(da, label,**kws):
    #da = da.groupby('time.year').mean('time')
    da = da.resample(time='AS').mean(keep_attrs=True)#.max(['depth', 'lat'], keep_attrs=True)
    #da = da.pipe(lowpass)
    #da = da.sel(year=slice(1900,2000))
    da.plot(label=label, **kws)
    
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    import cftime
    year_xlim = [1920, None][-1]
    fig,ax = plt.subplots(figsize=(11,4))
    for da,label in zip(das, labels):
        wyplot(da, label, ax=ax, alpha=0.6)
    ax.legend(ncol=2)
    ax.set_ylabel(f'AMOC [{units}]')
    #ax.set_xlim(1800, 2000)
    year_stops = {
        'FA': das[1].time.values[-1].year,
        'FA05': das[2].time.values[-1].year,
        'FA05trop': das[3].time.values[-1].year,
        'FAtrop': das[4].time.values[-1].year,
        }
    title = f"FA: 1901-{year_stops['FA']}; FA05: 1901-{year_stops['FA05']}; FA05trop: 1901-{year_stops['FA05trop']}; FAtrop: 1901-{year_stops['FAtrop']} "
    ax.set_title(title)
    #ax.set_xlim(cftime.datetime(1901,1,1), cftime.datetime(2000,12,31))
    ax.set_xlim(cftime.datetime(1901,1,1), cftime.datetime(2100,12,31))
    if year_xlim is not None:
        ax.set_xlim(None, cftime.datetime(year_xlim, 12, 31, calendar='noleap'))
        ax.set_title('')

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'.png')
        if year_xlim is not None: figname = figname.replace('.png', f'__1901-{year_xlim}.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()