#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Mar  4 19:10:44 EST 2020
if __name__ == '__main__':
    from misc.timer import Timer
    tt = Timer(f'start {__file__}')
import sys, os.path, os, datetime
import xarray as xr, numpy as np, pandas as pd
#import matplotlib.pyplot as plt
import geoxarray
from xtc import tc_basins
from misc.cim import cim, sem
if __name__ == '__main__':
    tt.check('end import')

# MDR lons and lats
# ventilation index
def get_pTang(basin='NA'):
    '''ventilation index to TC genesis probability (based on Tang and Emanuel'''
    thisdir = os.path.dirname(__file__)
    ofile = os.path.join(thisdir, f'data_pTang_{basin}.nc')
    if os.path.exists(ofile):
        print('[exists]:', ofile)
        return xr.open_dataset(ofile)['p']
    ifile = os.path.join(thisdir, 'data.VI.nc')
    bs = tc_basins()
    vi = xr.open_dataset(ifile)['VI']
    vi = (vi
        # NA basin
        .where( bs.mask(vi)==bs.map_keys(basin) )
        # lat range 10-30N
        .where(vi.lat>10).where(vi.lat<30)
        )
    vi0 = 0.014
    n = np.log(9)/np.log(0.1/0.014)
    p = vi.pipe(lambda x: 1./(1. + (x/vi0)**n)).geo.fldmean()
    long_name = 'TC genesis probability'
    p = p.assign_attrs(long_name=long_name)
    p.to_dataset(name='p').to_netcdf(ofile)
    print('[saved]:', ofile)

    return p 

if __name__ == '__main__':
    from wyconfig import * #my plot settings
    basin = 'NA'
    model = 'HiRAM'
    expname = '2xCO2'
    #figname = f'data_pTang_{basin}_{expname}_{tt.today()}.png'
    figname = __file__.replace('.py', f'_{basin}_{tt.today()}.png')
    da = get_pTang(basin=basin)
    da.groupby('time.year').mean('time').plot()
    plt.title(f'TC genesis probability: {model} {expname}')

    tt.check('**done**')
    plt.show()