#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Thu Apr 16 10:27:14 AM EDT 2026
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
#from xtc.distance import gcdistance
import xtc
import math
#
if __name__ == '__main__':
    try:
        tt.check('end import')
    except:
        pass
#
#start from here
def get_circle_points(lat, lon, radius_km, num_points=100):
    R = 6371.0  # Earth's radius in km
    lat1, lon1 = math.radians(lat), math.radians(lon)
    d_div_R = radius_km / R

    circle_lats, circle_lons = [], []
    for theta in np.linspace(0, 2 * np.pi, num_points):
        lat2 = math.asin(math.sin(lat1) * math.cos(d_div_R) +
                         math.cos(lat1) * math.sin(d_div_R) * math.cos(theta))
        lon2 = lon1 + math.atan2(math.sin(theta) * math.sin(d_div_R) * math.cos(lat1),
                                 math.cos(d_div_R) - math.sin(lat1) * math.sin(lat2))
        circle_lats.append(math.degrees(lat2))
        circle_lons.append(math.degrees(lon2))
    return circle_lats, circle_lons
R = get_kws_from_argv('R', 150) #km, threshold of distance to TC center
R = int(R)
location = get_kws_from_argv('location', 'MulletPond') # 'EasternLake'
if location == 'MulletPond':
    lat0, lon0 = 29.925333, 275.662083
elif location == 'EasternLake':
    lat0, lon0 = 30.311627, 273.906765
wind = get_kws_from_argv('wind', None)
if wind is not None: wind = int(wind)
ofile = f'ntc_{location}_{R}km.nc'
if wind is not None: ofile = ofile.replace('.nc', f'.TS{wind}.nc')
if os.path.exists(ofile) and 'od' not in sys.argv:
    ntc  = xr.open_dataarray(ofile)
    print('[loaded]:', ofile)
else:
    ifile = '/projects/w/wenchang/analysis/TC/HIRAM/amipLMR2019SST0850ic_tigercpu_intelmpi_18_540PE/netcdf/tc_tracks.TS.ens01.0850-1999.nc'
    ds = xr.open_dataset(ifile)
    if ds.en.size == 1:
        ds = ds.squeeze('en', drop=True)
    d = xtc.tc_distance(ds, lat0, lon0, units='km')
    #d = tc_distance(ds, 29.9253, 275.662, units='km')
    if wind is not None:
        L = ((d<=R)&(ds.windmax>wind)).any('stage')
    else:
        L = (d<=R).any('stage')
    lon = ds.lon
    ds['lon'] = lon.where(~((lon<0).any('stage')), other=lon+360)
    ds.where(L).tc.trackplot(ezplot=True, lw=1, alpha=0.5); from geoplots import mapplot; mapplot(); plt.plot(lon0, lat0, marker='x', color='k')
    lats, lons = get_circle_points(lat0, lon0, radius_km=R)
    plt.plot(lons, lats, color='C1')
    print(plt.xlim()); plt.show(); sys.exit()
    ntc = xtc.tc_count(ds.where(L))
    ntc = ntc.groupby('time.year').sum('time')
    long_name=f'NTC passing {location} within {R}km'
    if wind is not None: long_name += f' and windmax>{wind}m/s'
    ntc = ntc.assign_attrs(units='#', long_name=long_name)
    ntc.to_dataset(name='ntc').to_netcdf(ofile)
    print('[saved]:', ofile)

if __name__ == '__main__':
    from wyconfig import * #my plot settings
    ntc.plot()
    
    #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)
 
    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()