from django.core.management.base import BaseCommand, CommandError
import math, sys

from datetime import date
from heasarc.models import INPUT_DATA_DIR
import datetime
from django.utils import timezone
import astropy
from astropy.io import ascii
import pandas as pd
import pymysql
from sqlalchemy import create_engine
import numpy.ma as ma

from heasarc.tdat import tDat
from heasarc.models import HeasarcTable, TableColumn, Heasarc4FGL, HeasarcObjectClass
from heasarc.models import NSIDE_SOURCES, ORDER 
from monthplan.models import  NSIDE_PLATES
from astropy_healpix import HEALPix
from astropy.coordinates import SkyCoord  # High-level coordinates
from astropy.coordinates import ICRS, Galactic, FK4, FK5  # Low-level frames
from astropy.coordinates import Angle, Latitude, Longitude  # Angles
import astropy.units as u

def load_heasarc_table(filename):
    tdatfile=INPUT_DATA_DIR+'/dump/'+filename
    data = astropy.table.Table.read(tdatfile, format='ascii.tdat')

    keywords = data.meta['keywords']
    for key, value in keywords.items():
            print(key, '->', value)
            
            try:
                table=HeasarcTable.objects.get(name__exact=keywords['table_name'])
                table.delete()
            except:
                pass

            table_name=keywords['table_name']
            table = HeasarcTable(name=keywords['table_name'])
            table.description=keywords['table_description'].replace('\"', '')
            table.document_url=keywords['table_document_url']
            table.save()

    cols = data.meta['cols']
    for key, value in cols.items():
        column = TableColumn(table=table)
        column.name=key
        column.tdat_type=value['type']
        column.description=value['description']
        column.save()
        print(key, '->', value)

    
    #sys.exit()
    tables = Heasarc4FGL.objects.all()
    tables.delete()

    

    hp = HEALPix(nside=NSIDE_SOURCES, order=ORDER, frame=FK5())
    hp_plate = HEALPix(nside=NSIDE_PLATES, order=ORDER, frame=FK5())

    for item in data:
        crd = SkyCoord(item['ra'], item['dec'], frame=FK5(), unit="deg")
        healpix = hp.skycoord_to_healpix(crd)
        healpix_plate = hp_plate.skycoord_to_healpix(crd)

        if not (ma.is_masked(item['semi_major_axis_68']) or ma.is_masked(item['semi_minor_axis_68'])):
            sx=float(item['semi_major_axis_68'])*3600
            sy=float(item['semi_minor_axis_68'])*3600
        else:
            continue

        error_radius = max(sx,sy)

        name=item['name']

        koeff=1.42 # Paper I

        R68=math.sqrt(-2*math.log(1-0.68))
        R95=math.sqrt(-2*math.log(1-0.95))
        R98=math.sqrt(-2*math.log(1-0.98))

        obj = Heasarc4FGL.objects.create(healpix=healpix, 
                                           healpix_plate=healpix_plate, 
                                           ra=item['ra'],
                                           dec=item['dec'],
                                           lii=item['lii'],
                                           bii=item['bii'],
                                           error_radius=error_radius*R98,
                                           name=item['name'],
                                           flux=item['energy_flux'],sign=item['detection_significance'],)
                                               
        obj.save()

    print('--> Successfully loaded "%s"' % table_name)
    pass

class Command(BaseCommand):
    help = 'Initiates data dase'

#    def add_arguments(self, parser):
#        parser.add_argument('poll_id', nargs='+', type=int)

    def handle(self, *args, **options):
        
        load_heasarc_table('heasarc_fermilpsc.tdat.gz')

        self.stdout.write(self.style.SUCCESS('Done'))