#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri Dec 31 12:49:58 EST 2021
if __name__ == '__main__':
    import sys
    from misc.timer import Timer
    s = ' '
    tt = Timer(f'start {s.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
import xlinregress
import xfilter
import xpyleoclim
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#params from sys.argv
lmr = 2018 if len(sys.argv)>1 and '2019' in sys.argv[1:] else 2019
pyleoclim = True if len(sys.argv)>1 and 'pyleoclim' in sys.argv[1:] else False

daname = 'sst'
n_window = 40
lowpass = lambda da: da.filter.lowpass(1/n_window, dim='year', padtype='even')
years = slice(850,1850)
ofile = f'linregress_map_sedimentHU_on_LMR{lmr}SST_{years.start}-{years.stop}.nc'
if pyleoclim:
    ofile = ofile.replace('.nc', '_pyleoclim_.nc')
if os.path.exists(ofile):
    ds = xr.open_dataset(ofile)
    print('[loaded]:', ofile)
else:
    ds_liz = xr.open_dataset('../Lizzie/sedimentHU_v20220121_noCaySal_smooth40yr_count.nc')
    if lmr == 2018:
        ds_lmr = xr.open_dataset('/tigress/gvecchi/DATA/LMR_2018/sst_MCruns_ensemble_mean.nc')
    elif lmr == 2019:
        ds_lmr = xr.open_dataset('/tigress/gvecchi/DATA/LMR_2019/sst_MCruns_ensemble_mean.nc')
    #sediment HU
    print('sediment HU...')
    da_liz = ds_liz['sedimentHUcount'].sel(member='sediment_estimate').sel(year=years)
    da_liz = ( da_liz - da_liz.mean() )/da_liz.std() #standardize
    #LMR SST
    print('LMR SST...')
    da = ds_lmr[daname]
    da = da.assign_coords(time=da.time.dt.year.values).rename(time='year')
    #da = ds_lmr[daname].groupby('time.year').mean('time').load()
    da_lmr = da.mean('MCrun').pipe(lowpass).sel(year=years)
    if pyleoclim:
        result = xpyleoclim.correlation(da_lmr, da_liz, seed=0)
        ds = result[['r', 'p', 'signif']].rename(p='pvalue')
        slope = ds['r'] * da_lmr.std('year')/da_liz.std('year')
        ds['slope'] = slope.assign_attrs(units='K per STD HU')
    else:
        print('linear regression...')
        rg = da_lmr.linregress.on(da_liz, dim='year', ess_on=True)
        ds = rg[['slope', 'r', 'dof', 'pvalue']]
        ds['slope'].attrs['units'] = 'K per STD HU'
    ds.to_netcdf(ofile)
    print('[saved]:', ofile)
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    plt.close()
    figsize = (8,4)
    fig, ax = plt.subplots(figsize=figsize)
    da = ds.r
    p = ds.pvalue
    da.plot(ax=ax)
    mapplot(ax=ax21)
    da.where(p<0.025).plot.contourf(ax=ax, colors='none', hatches=['///'])
    

    
    #savefig
    if len(sys.argv)>1 and 'savefig' in sys.argv[1:]:
        #figname = __file__.replace('.py', f'.png')
        figname = ofile.replace('.nc', '.png')
        wysavefig(figname)
    tt.check(f'**Done**')
    plt.show()