#!/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
import xlinregress
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#dT
daname = 't_surf'
#norm_by_glbmean = False #True
ifile = """
t_surf_FLOR_co2x4_CTL1860_tigercpu_intelmpi_18_576PE_0101-0250_zonalmean.nc
t_surf_FLOR_co2xp5_CTL1860_tigercpu_intelmpi_18_576PE_0101-0600_zonalmean.nc
t_surf_FLOR_co2xp25_CTL1860_tigercpu_intelmpi_18_576PE_0101-0250_zonalmean.nc
t_surf_FLOR_p2p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0400_zonalmean.nc
t_surf_FLOR_p6p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0600_zonalmean.nc
t_surf_FLOR_m2p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0400_zonalmean.nc
t_surf_FLOR_m6p0sol_CTL1860_tigercpu_intelmpi_18_576PE_0101-0597_zonalmean.nc
t_surf_FLOR_co2x2_CTL1860_tigercpu_intelmpi_18_576PE_0101-0600_zonalmean.nc
""".split()[-1]
ifile_ctl = 't_surf_FLOR_CTL1860_newdiag_tigercpu_intelmpi_18_576PE_0101-0200_zonalmean.nc'

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

da = xr.open_dataarray(ifile).load().groupby('time.year').mean('time')
da_ctl = xr.open_dataarray(ifile_ctl).load().groupby('time.year').mean('time')
daa = da - da_ctl.mean('year')
dT = daa
"""
if norm_by_glbmean:
    wgt = np.cos(daa.lat/180*np.pi)
    daa_glbmean = daa.weighted(wgt).mean('lat')
    daa = daa/daa_glbmean
"""  
#dN
ifile_N = '../netrad_toa_FLOR_co2x2_CTL1860_tigercpu_intelmpi_18_576PE_0101-0600_glbmean.nc'
print(f'{ifile_N =}')
ifile_N_ctl = glob.glob(ifile_N.replace('_co2x2_CTL1860', '_CTL1860_newdiag').replace('0101-0600', '????-????'))[0]
print(f'{ifile_N_ctl =}')
dN = xr.open_dataarray(ifile_N).groupby('time.year').mean('time') \
    - xr.open_dataarray(ifile_N_ctl).groupby('time.year').mean('time').sel(year=slice(101,200)).mean('year')

#years 1-20
yearspan = slice(0,20)
reg = dT.isel(year=yearspan).linregress.on(dN.isel(year=yearspan), dim='year')
b = reg.slope
b1 = b
#print(f'{b1 =}')

#years 21-150
yearspan = slice(20,150)
reg = dT.isel(year=yearspan).linregress.on(dN.isel(year=yearspan), dim='year')
b = reg.slope
b2 = b
#print(f'{b2 =}')

 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    fig,ax = plt.subplots()
    (-b1).plot(label='dT/dN over years 1-20 (b1, K/W/m^2)') 
    (-b2).plot(label='dT/dN over years 21-150 (b2, K/W/m^2)') 
    #(b2/b1).plot(label='b2/b1')
    
    ax.legend()
    ax.set_xticks(range(-90,91,15))

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