#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri Sep 15 09:51:11 EDT 2023
if __name__ == '__main__':
    import sys,os
    from misc.timer import Timer
    tt = Timer(f'[{os.getcwd()}] 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
wython = '/tigress/wenchang/wython'
if wython not in sys.path: sys.path.append(wython); print('added to python path:', wython)
from misc import get_kws_from_argv
##old way
#from tc_monitor_AM2p5_amipLMR2019SST0850ic_tigercpu_intelmpi_18_540PE import ds_counts_yearly as ds_am2p5
#from tc_monitor_HIRAM_amipLMR2019SST0850ic_tigercpu_intelmpi_18_540PE import ds_counts_yearly as ds_hiram
from modelout.getTC import getTC
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
minWindmax = 33 if '33' in sys.argv else 17 #default is 17m/s
model = 'FLOR'

labels = []
dss = []

label = 'FLOR_ctl_1990_v201905'
expname = 'CTL1990_v201905_tigercpu_intelmpi_18_576PE'
ds = getTC(model=model, expname=expname, minWindmax=minWindmax)
labels.append(label)
dss.append(ds)
 
label = 'FLOR_ctl_1990_v201905_FA'
expname = 'CTL1990_v201905_FA_tigercpu_intelmpi_18_576PE'
ds = getTC(model=model, expname=expname, minWindmax=minWindmax)
labels.append(label)
dss.append(ds)
 
label = 'FLOR_ctl_1990_v201905_FA05'
expname = 'CTL1990_v201905_FA05_tigercpu_intelmpi_18_576PE'
ds = getTC(model=model, expname=expname, minWindmax=minWindmax)
labels.append(label)
dss.append(ds)
 
label = 'FLOR_ctl_1990_v201905_FA05trop'
expname = 'CTL1990_v201905_FA05trop_tigercpu_intelmpi_18_576PE'
ds = getTC(model=model, expname=expname, minWindmax=minWindmax)
labels.append(label)
dss.append(ds)
 
label = 'FLOR_ctl_1990_v201905_FAtrop'
expname = 'CTL1990_v201905_FAtrop_tigercpu_intelmpi_18_576PE'
ds = getTC(model=model, expname=expname, minWindmax=minWindmax)
labels.append(label)
dss.append(ds)
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    n_window = 15#50
    lowpass = lambda da: da.rolling(year=n_window, min_periods=1, center=True).mean() if da.year.size>n_window else da
    #basin = get_kws_from_argv('basin', 'global')
    basins = ('global', 'NA', 'WP', 'EP', 'NI', 'SI', 'AU')
    for basin in basins:
        fig,ax = plt.subplots()
        for ds,label in zip(dss, labels):
            ds[basin].sel(year=slice(1901,2100)).pipe(lowpass).plot(label=label, ax=ax)
        
        #ax.legend(loc='upper left')
        ax.legend()
        title = f'{basin} TC #'
        if minWindmax == 33: title = title.replace('TC', 'HU')
        if n_window > 1: title += f', {n_window}-lowpass'
        ax.set_title(title)

        #savefig
        if 'savefig' in sys.argv or 's' in sys.argv:
            figname = __file__.replace('.py', f'__TS{minWindmax}_{basin}.png')
            if n_window > 1: figname = figname.replace('.png', f'_{n_window}lp.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 or 'n' in sys.argv:
        pass
    else:
        if 'plt' in globals(): plt.show()