#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed May 15 23:08:39 EDT 2024
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
import salem
import geoxarray
from misc import roll_lon
from misc.wysalem import get_world_shape
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
"""
lon0 = 360 - 51.6658
lat0 = -29.3646
lonslice = slice(360-55, 360-50)
latslice = slice(-25,-30)
subset = lambda x: x.interp(lon=lon0, lat=lat0)
"""
rename = lambda x: x.rename(longitude='lon', latitude='lat')
timeslice = slice('2024-04-26', '2024-05-05')
#shapefile based subset
shapefile = '../state_Rio_Grande_do_Sul/43UF2500G.shp'
shdf = salem.read_shapefile(shapefile)
#brazil shape
shdf_brazil = get_world_shape('Brazil')
#subset = lambda x: x.sel(lon=lonslice, lat=latslice)
def getdata(daname_long):
    ifiles = f'/tigress/wenchang/data/era5/analysis/realtime202405/era5.{daname_long}.2024-0?.nc'
    ds = xr.open_mfdataset(ifiles).sel(time=timeslice).pipe(rename).pipe(roll_lon).salem.subset(shape=shdf, margin=1).salem.roi(shape=shdf).load() \
        .resample(time='1D').mean(keep_attrs=True)

    #dataset to dataarray
    daname = list(ds.data_vars)[0]
    da = ds[daname].geo.fldmean()
    return da
daname_long = 'mean_total_precipitation_rate'
precip = getdata(daname_long)
precip = precip * 24 *3600 #units convert from kg m**-2 s**-2 to mm/day
precip = precip.assign_attrs(units='mm/day', long_name=daname_long.replace('_', ' '))
#vimdiv
daname_long = 'mean_vertically_integrated_moisture_divergence'
vimdiv = getdata(daname_long)
vimdiv = vimdiv * 24 *3600 #units convert from kg m**-2 s**-1 to mm/day
vimdiv = vimdiv.assign_attrs(units='mm/day', long_name=daname_long.replace('_', ' '))

#cal time series
func = lambda x: x.pipe(roll_lon).salem.subset(shape=shdf, margin=1).salem.roi(shape=shdf).load() \
    .resample(time='1D').mean(keep_attrs=True) \
    .geo.fldmean()
#vimdiv
ifile = '/tigress/wenchang/data/era5/analysis_wy/realtime202405/data_era5_moisture_transport.nc'
ds = xr.open_dataset(ifile)
vimdiv_offline = ds['vimdiv'].pipe(func)
#vimdiv qclim uvclim
ifile = '/tigress/wenchang/data/era5/analysis_wy/realtime202405/data_era5_moisture_transport_qclim_uvclim.nc'
ds = xr.open_dataset(ifile)
vimdiv_qclim_uvclim = ds['vimdiv'].pipe(roll_lon).salem.subset(shape=shdf, margin=1).salem.roi(shape=shdf).load().geo.fldmean()
#vimdiv qanom uvclim
ifile = '/tigress/wenchang/data/era5/analysis_wy/realtime202405/data_era5_moisture_transport_qanom_uvclim.nc'
ds = xr.open_dataset(ifile)
vimdiv_qanom_uvclim = ds['vimdiv'].pipe(func)
#vimdiv qclim uvanom
ifile = '/tigress/wenchang/data/era5/analysis_wy/realtime202405/data_era5_moisture_transport_qclim_uvanom.nc'
ds = xr.open_dataset(ifile)
vimdiv_qclim_uvanom = ds['vimdiv'].pipe(func)
#vimdiv qanom uvanom
ifile = '/tigress/wenchang/data/era5/analysis_wy/realtime202405/data_era5_moisture_transport_qanom_uvanom.nc'
ds = xr.open_dataset(ifile)
vimdiv_qanom_uvanom = ds['vimdiv'].pipe(func)
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    #fig, ax = plt.subplots(figsize=(8,3))
    fig, ax = plt.subplots()
    #da = precip
    #da.plot(marker='o', markerfacecolor='none', label='precip')

    da = -vimdiv
    #da.plot(marker='*', markerfacecolor='none', label='online', color='k', markersize=10)
    da.plot(marker='o', markerfacecolor='none', label='online', color='k')
    da = -vimdiv_offline
    da.plot(marker='o', markerfacecolor='none', label='mc(q,v)', color='gray')
    da = -vimdiv_qclim_uvclim
    ax.axhline(da, ls='--', color='C0', label='mc(qc,vc)')
    da = -vimdiv_qanom_uvclim
    da.plot(marker='o', markerfacecolor='none', label='mc(qa,vc)', ls='--', color='C1')
    da = -vimdiv_qclim_uvanom
    da.plot(marker='o', markerfacecolor='none', label='mc(qc,va)', ls='--', color='C2')
    da = -vimdiv_qanom_uvanom
    da.plot(marker='o', markerfacecolor='none', label='mc(qa,va)', ls='--', color='C3')

    ax.set_title(f'ERA5 moisture convergence: state Rio Grande do Sul precip')
    ax.set_xlabel('')
    ax.set_ylabel(vimdiv.attrs['units'])
    ax.legend(loc='upper right', ncol=2)
    ax.axhline(0, color='gray', ls='--')

    axin = ax.inset_axes([0, 0.5, 0.2, 0.5], transform=ax.transAxes)
    shdf_brazil.boundary.plot(ax=axin, color='gray', lw=1)
    shdf.plot(ax=axin, color='gray')
    #axin.set_xticks(range(-70, -50+1, 10))
    #axin.set_yticks(range(-40, -10+1, 10))
    #mapplot(ax=axin)
    axin.spines['left'].set_visible(False)
    axin.spines['bottom'].set_visible(False)
    axin.set_xticks([])
    axin.set_yticks([])
    axin.patch.set_alpha(0)
   
    #iavefig
    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)
 
    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv or 'n' in sys.argv:
        pass
    else:
        if 'plt' in globals(): plt.show()