#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Tue Mar 28 19:47:00 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
from misc.landmask import whereocean
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
daname = 't_surf'
norm_by_glbmean = [False, True][-1]
tspan = slice('0231', '0250')
ifile = """
t_surf_FLOR_co2x2_CTL1860_tigercpu_intelmpi_18_576PE_0101-0600_annualmean.nc
t_surf_FLOR_co2x4_CTL1860_tigercpu_intelmpi_18_576PE_0101-0250_annualmean.nc
t_surf_FLOR_co2xp5_CTL1860_tigercpu_intelmpi_18_576PE_0101-0600_annualmean.nc
t_surf_FLOR_co2xp25_CTL1860_tigercpu_intelmpi_18_576PE_0101-0250_annualmean.nc
t_surf_FLOR_p2p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0400_annualmean.nc
t_surf_FLOR_p6p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0785_annualmean.nc
t_surf_FLOR_m2p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0400_annualmean.nc
t_surf_FLOR_m6p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0597_annualmean.nc
""".split()[-1]
ifile_ctl = 't_surf_FLOR_CTL1860_newdiag_tigercpu_intelmpi_18_576PE_0101-0200_annualmean.nc'

ifile = ifile.replace('t_surf', daname)
ifile_ctl = ifile_ctl.replace('t_surf', daname)

da = xr.open_dataarray(ifile).load().sel(time=tspan).mean('time', keep_attrs=True)
units = da.attrs['units']
da_ctl = xr.open_dataarray(ifile_ctl).load().mean('time')
daa = da - da_ctl
if norm_by_glbmean:
    wgt = np.cos(daa.lat/180*np.pi)
    daa_glbmean = daa.weighted(wgt).mean(['lat', 'lon'])
    daa = daa/daa_glbmean
    units = 'glbmean'
    
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    fig,ax = plt.subplots()
    da_ = daa.assign_attrs(units=units)
    da_.plot(cmap='turbo', levels=41, vmin=-2, vmax=2, extend='both')
    da_ = da_ctl.pipe(whereocean) - 273.15
    cs = da_.plot.contour(levels=[27.5,], colors='lightgray', linewidths=1, linestyles='--')
    ax.clabel(cs, cs.levels)
    mapplot()
    
    #ax.set_xlim(None, 250)
    title = ifile.split('_tigercpu')[0] + f'_{tspan.start}-{tspan.stop}'
    if norm_by_glbmean: title += '_norm'
    ax.set_title(title)

    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'_{title}.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()