#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Jul 12 13:23:03 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 whereland
import geoxarray
import xfilter
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
lmr_version = '2.1'
tspan = [
None,
slice('1551', '1650'),
][-1]
def get_data(region, tspan=tspan):
    if region == 'North China':
        lonlatbox = '106.120.33.40'
    elif region == 'Northeast China':
        lonlatbox = '122.130.40.46'
    elif region == 'Mongolia':
        lonlatbox = '107.122.40.47'
    lonlatbox = [float(s) for s in lonlatbox.split('.')] #str to float
    lonmin, lonmax, latmin, latmax = lonlatbox
    ifile = f'/tigress/wenchang/data/LMR/v{lmr_version}/prate_MCruns_ensemble_mean_LMRv{lmr_version}.nc'
    print(ifile)
    ###
    if tspan is None:
        da = xr.open_dataarray(ifile).load() #only the 5 ens of the last millennium
    else: #concatenate two exps along the ens dim
        da = xr.open_dataarray(ifile).sel(time=tspan).load()
        
    da = da.pipe(whereland).sel(lon=slice(lonmin, lonmax), lat=slice(latmin, latmax)).geo.fldmean()
    da = da.rename(MCrun='ens')
    daa = da.groupby('time.month') - da.groupby('time.month').mean('time').mean('ens')
    daa = daa.groupby('time.year').mean('time')

    daa = (daa*24*3600).assign_attrs(units='mm/day')

    return daa

das = dict()
region = 'North China'
das[region]  = get_data(region=region)
region = 'Northeast China'
das[region]  = get_data(region=region)
region = 'Mongolia'
das[region]  = get_data(region=region)
n_ens = das[region].ens.size
 
def wyplot(ax=None, region='North China', **kws): 
    if ax is None: fig,ax = plt.subplots()
    #lp = lambda x: x.rolling(year=9, center=True, min_periods=1).mean()
    n_window = 99 if tspan is None else 9
    lp = lambda x: x.filter.lowpass(1/n_window, dim='year', padtype='even')
    da = das[region]
    da_lp = da.pipe(lp)
    mm = da_lp.mean('ens')
    err = da_lp.std('ens')/np.sqrt(n_ens)
    ax.fill_between(mm.year, mm-err, mm+err, alpha=0.1, **kws)
    mm.plot(ax=ax, label=region, **kws)
    ax.axhline(0, color='gray', ls='--')
    ax.axvspan(1625, 1644, color='gray', alpha=0.1)

    ax.set_ylabel(f'mm/day')
    ax.set_title(f'LMR{lmr_version} {n_ens}ens precip anom, {n_window}LP')

if __name__ == '__main__':
    from wyconfig import * #my plot settings
    fig, ax = plt.subplots()
    wyplot(region='North China', ax=ax)
    wyplot(region='Northeast China', ax=ax)
    wyplot(region='Mongolia', ax=ax)

    ax.legend()

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__LMR{lmr_version.replace(".", "p")}.png')
        if tspan is None: figname = figname.replace('.png', '_LM.png') #last millennium results, only 5 ens
        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()