#!/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
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
daname = ['t_ref_max', 'slp', 't_surf', 'ice_mask', 'precip'][-1]
dsname = ['atmos_daily', 'atmos_month'][-1]
model = ['FLOR', 'AM2.5C360'][0]
expname = [
    'HistRCP45_tigercpu_intelmpi_18_576PE',
    'amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE',
    'amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_extend2020',
    'amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_extend2021',
    'CTL1860_newdiag_tigercpu_intelmpi_18_576PE',
    ][0]
ens = [range(1,2), range(1,6), range(1,11), None][-2]
years = [range(1860,2101), range(1871,2019+1), range(2020,2020+1), range(2021,2021+1), None][0]
#func = lambda x: x.sel(grid_xt=slice(60, 100), grid_yt=slice(5, 40)).load()
#funcname = 'SouthAsia'
func = lambda x: x.load()
funcname = 'monthly'
if ens is None:
    da = get_modelout_data(daname=daname, model=model, expname=expname, years=years, func=func, funcname=funcname, 
        dsname=dsname)
else:
    #da = get_modelout_data_ens(daname=daname, model=model, expname=expname, ens=ens, years=years, func=func, funcname=funcname, 
    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()