#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri May  2 03:40:39 PM EDT 2025
if __name__ == '__main__':
    import sys,os
    try:
        from misc.timer import Timer
        tt = Timer(f'[{os.getcwd()}] start ' + ' '.join(sys.argv))
    except:
        pass
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__':
    try:
        tt.check('end import')
    except:
        pass
#
#start from here
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    ifiles = glob.glob('/projects/w/wenchang/data/cmip6/variables/pr/hist-GHG_v202505/wy_regrid/pr.hist-GHG.*.nc')
    ifiles.sort()
    nfiles = len(ifiles)
    dss_ghg = []
    dss_hist = []
    models = []
    for ii,ifile in enumerate(ifiles, start=1):
        #ifile = '/projects/w/wenchang/data/cmip6/variables/pr/hist-GHG_v202505/wy_regrid/pr.hist-GHG.ACCESS-CM2.r1i1p1f1.1850-2020.nc'
        print(f'[{ii:02d} of {nfiles}:', ifile)
        model = ifile.split('.')[-4]
        years = ifile.split('.')[-2]
        #ifile_hist = ifile.replace('hist-GHG', 'historical').replace('v202505', 'v202504').replace('2020', '2014')
        #if not os.path.exists(ifile_hist): print(model, 'does not have historical experiment'); continue
        ifile_hist = glob.glob(ifile.replace('hist-GHG', 'historical').replace('v202505', 'v202504').replace(years, '*'))[0]

        da = xr.open_dataarray(ifile).load()
        da = da.groupby('time.year').mean('time')#.pipe(lambda x: x*24*3600).assign_attrs(units='mm/day')
        rg_ghg = da.linregress.on(da.year, dim='year')
        
        da = xr.open_dataarray(ifile_hist).sel(time=slice('1850', '2014')).load()
        da = da.groupby('time.year').mean('time')#.pipe(lambda x: x*24*3600).assign_attrs(units='mm/day')
        rg_hist = da.linregress.on(da.year, dim='year')
        

        fig,axes = plt.subplots(2, 1, figsize=(7,7))
        func = lambda da: (da * 24 * 3600 *100).assign_attrs(units='mm/day/century', long_name='precip linear trend')
        ax = axes[0]
        rg_hist.slope.pipe(func).plot.contourf(ax=ax, cmap='BrBG', levels=21)
        plt.sca(ax)
        mapplot()
        ax.set_title(f'{model} historical precip 1850-2014 linear trend')

        ax = axes[1]
        rg_ghg.slope.pipe(func).plot.contourf(ax=ax, cmap='BrBG', levels=21)
        plt.sca(ax)
        mapplot()
        ax.set_title(f'{model} hist-GHG precip 1850-2014 linear trend')

        dss_ghg.append(rg_ghg)
        dss_hist.append(rg_hist)
        models.append(model)

    
        #savefig
        if 'savefig' in sys.argv or 's' in sys.argv:
            figname = __file__.replace('.py', f'__pr_{model}.png')
            if 'overwritefig' in sys.argv or 'o' in sys.argv:
                wysavefig(figname, overwritefig=True)
            else:
                wysavefig(figname)
    rg_ghg = xr.concat(dss_ghg, dim=pd.Index(models, name='model') )
    rg_hist = xr.concat(dss_hist, dim=pd.Index(models, name='model') )
    #save
    ofile = __file__.replace('.py', f'__GHG.nc')
    rg_ghg.to_netcdf(ofile)
    print('[saved]:', ofile)
    ofile = __file__.replace('.py', f'__hist.nc')
    rg_hist.to_netcdf(ofile)
    print('[saved]:', ofile)

    try:
        tt.check(f'**Done**')
    except:
        pass
    print()
    if 'notshowfig' in sys.argv or 'n' in sys.argv:
        pass
    else:
        if 'plt' in globals(): plt.show()