#!/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
from misc import get_kws_from_argv
#from misc import roll_lon
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#daname = 't_ref_max'
#if 't_ref' in sys.argv:
#    daname = 't_ref' #default is t_ref_max
daname = 'precip'
daname = get_kws_from_argv('daname', daname)
#dsname = 'atmos_daily'
dsname = 'atmos_month'
dsname = get_kws_from_argv('dsname', dsname)
#specific event definition
#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()
#funcname = 'UK' #51.25-54N, 3.5W-0.5E
#func = lambda x: xr.concat([x.sel(grid_xt=slice(360-3.5, None), grid_yt=slice(51.25, 54)).load(),
#    x.sel(grid_xt=slice(None,0.5), grid_yt=slice(51.25, 54)).load()], dim='grid_lon')
#func = lambda x: x.isel(grid_xt=(x.grid_xt>=(360-3.5))|(x.grid_xt<=0.5)).sel(grid_yt=slice(51.25, 54)).load()
#func = lambda x: x.sel(grid_yt=slice(20,40), grid_xt=slice(60,90)).load()
#funcname = 'WAfrica' #West Africa
#func = lambda da: da.sel(grid_yt=slice(14,16)).load().rename(grid_xt='lon', grid_yt='lat').pipe(roll_lon).sel(lon=slice(-3,24))
#funcname = 'CSA' #
#func = lambda x: x.sel(grid_xt=slice(360-75, 360-40), grid_yt=slice(-45, -10)).load()
#funcname = 'NewZealand' #
#func = lambda x: x.sel(grid_xt=slice(170, 180), grid_yt=slice(-43, -32)).load()
region = 'largeRegion'
latslice = slice(5,35)
lonslice = slice(105,135)
funcname = f'{region}'
func = lambda x: x.sel(grid_xt=lonslice, grid_yt=latslice).load()

#model and experiment
model = os.path.basename(os.getcwd()) # 'AM2.5C360'
model = get_kws_from_argv('model', model)
"""
if 'AM2.5C360' in sys.argv:
    model = 'AM2.5C360'
"""
if model == 'FLOR':
    expname = 'HistRCP45_tigercpu_intelmpi_18_576PE'
    ens = range(1,10+1)
    #years = range(1860,2100+1)
    years = range(1991,2020+1)
elif model == 'AM2.5C360':
    #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)
    expname = 'amipHadISSTrcp45_tigercpu_intelmpi_18_1080PE'
    ens = range(6,8+1)# range(1,6)
    #years = range(1871, 2100+1)# range(1981,2011)# range(1860,2101)
    years = range(1991,2020+1)
else:
    print('please select a right model: either FLOR or AM2.5C60')
    sys.exit()

#overwrite the default ens if en=* appears in the input argument
aa = [s for s in sys.argv if s.startswith('en=')]
if aa:
    ii = int( aa[-1].split('=')[-1] )
    ens = range(ii,ii+1)

#get data
#da = get_modelout_data_ens(daname=daname, model=model, expname=expname, ens=ens, years=years, func=func, funcname=funcname, 
#    dsname=dsname, loop_files=True)
da = get_modelout_data(daname=daname, model=model, expname=expname, ens=ens, years=years, func=func, funcname=funcname, dsname=dsname)

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()