#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Apr 17 15:34:24 EDT 2024
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
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
das = {}
model = 'FLOR'
#
ifile = 'amoc_FLOR_CTL1860_newdiag_1-4-1xCO2_tigercpu_intelmpi_18_576PE_2001-2280.nc'
expname = 'CTL1860_newdiag_1-4-1xCO2'
da = xr.open_dataarray(ifile).load()
das[expname] = da
#
"""
ifile = 'amoc_FLOR_CTL1860_newdiag_tigercpu_intelmpi_18_576PE_1-3000.nc'
expname = 'CTL1860_newdiag'
da = xr.open_dataarray(ifile).load()
das[expname] = da
"""



if __name__ == '__main__':
    from wyconfig import * #my plot settings
    fig,ax = plt.subplots()
    # depth/lat selection according to Curtis and Fedorov 2024: https://doi.org/10.1007/s00382-024-07185-3
    z0 = 750 # m, below this depth
    lat0 = 30 #N, north of this lat
    expname = 'CTL1860_newdiag_1-4-1xCO2'
    da = das[expname] 

    #raw
    da.groupby('time.year').mean('time', keep_attrs=True) \
        .max(['depth', 'lat'], keep_attrs=True).plot(label='raw')

    #30N north only
    da.groupby('time.year').mean('time', keep_attrs=True) \
        .sel(lat=slice(lat0, None)) \
        .max(['depth', 'lat'], keep_attrs=True).plot(label=f'{lat0}N north')

    #750m below only
    da.groupby('time.year').mean('time', keep_attrs=True) \
        .sel(depth=slice(z0, None)) \
        .max(['depth', 'lat'], keep_attrs=True).plot(label=f'{z0}m below')

    #both
    da.groupby('time.year').mean('time', keep_attrs=True) \
        .sel(depth=slice(z0, None), lat=slice(lat0, None)) \
        .max(['depth', 'lat'], keep_attrs=True).plot(label=f'{z0}m below, {lat0}N north', ls='--')

    #20N north only
    lat0 = 20
    da.groupby('time.year').mean('time', keep_attrs=True) \
        .sel(lat=slice(lat0, None)) \
        .max(['depth', 'lat'], keep_attrs=True).plot(label=f'{lat0}N north', ls=':')

    #0N north only
    lat0 = 0
    da.groupby('time.year').mean('time', keep_attrs=True) \
        .sel(lat=slice(lat0, None)) \
        .max(['depth', 'lat'], keep_attrs=True).plot(label=f'{lat0}N north', ls='-')
    ax.set_title(f'AMOC from {model} {expname}')
    ax.legend()
    
    #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()