#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Sat May  7 11:36:44 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 misc.modelout import get_modelout_data_ens
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
daname = 'precip'
dsname = 'atmos_daily'
model = 'AM2.5C360'# 'FLOR'
#expname = 'HistRCP45_tigercpu_intelmpi_18_576PE'
expname = 'amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE'
ens = range(1,11)# range(1,6)
years = range(1871, 2019+1)# range(1981,2011)# range(1860,2101)
funcname = 'Pernambuco' #5S-10S, 34.5-36W
func = lambda x: x.sel(grid_xt=slice(360-36, 360-34.5), grid_yt=slice(-10, -5)).load()
da = get_modelout_data_ens(daname=daname, model=model, expname=expname, ens=ens, years=years, func=func, funcname=funcname, 
    dsname=dsname, loop_files=True)

#extended years for AM2.5C360
if model in ('AM2.5C360',):
    for year_extend in (2020,2021):
        years = range(year_extend, year_extend+1)
        expname = f'amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_extend{year_extend}'
        da = get_modelout_data_ens(daname=daname, model=model, expname=expname, ens=ens, years=years, func=func, funcname=funcname, 
            dsname=dsname, loop_files=True)
 
if __name__ == '__main__':
    #from wyconfig import * #my plot settings
    
    #savefig
    if len(sys.argv)>1 and 'savefig' in sys.argv[1:]:
        figname = __file__.replace('.py', f'.png')
        if 'overwritefig' in sys.argv[1:]:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname)
    tt.check(f'**Done**')
    print()
    plt.show()