86 lines
3.0 KiB
Python
86 lines
3.0 KiB
Python
from django.core.management.base import BaseCommand, CommandError
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from datetime import date
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from heasarc.models import INPUT_DATA_DIR
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import datetime
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from django.utils import timezone
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import astropy
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from astropy.io import ascii
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import pandas as pd
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import pymysql
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from sqlalchemy import create_engine
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import numpy.ma as ma
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from heasarc.tdat import tDat
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from heasarc.models import HeasarcTable, TableColumn, Heasarc3MAXI, HeasarcObjectClass
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from heasarc.models import NSIDE_SOURCES, ORDER
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from monthplan.models import NSIDE_PLATES
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from astropy_healpix import HEALPix
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from astropy.coordinates import SkyCoord # High-level coordinates
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from astropy.coordinates import ICRS, Galactic, FK4, FK5 # Low-level frames
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from astropy.coordinates import Angle, Latitude, Longitude # Angles
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import astropy.units as u
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from astropy.io import fits
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import math
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def load_heasarc_table(filename):
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"""
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['Seq', '3MAXI', 'RAdeg', 'DEdeg', 'ePos', 's4-10keV', 'F4-10keV', 'e_F4-10keV', 's3-4keV', 'F3-4keV', 'l_F3-4keV', 'e_F3-4keV', 's10-20keV', 'F10-20keV', 'l_F10-20keV', 'e_F10-20keV', 'F3-10keV', 'e_F3-10keV', 'HR1', 'e_HR1', 'HR2', 'e_HR2', 'HR3', 'e_HR3', 'TSVar', 'XVA', 'e_XVA']
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"""
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hdul = fits.open(filename)
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data = hdul[1].data
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cols = hdul[1].columns
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print(cols.names)
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#tables = HeasarcSwiftBAT105m.objects.all()
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#tables.delete()
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hp = HEALPix(nside=NSIDE_SOURCES, order=ORDER, frame=FK5())
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hp_plate = HEALPix(nside=NSIDE_PLATES, order=ORDER, frame=FK5())
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for item in data:
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healpix = 0
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ra = 0.0
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dec = 0.0
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lon = 0.0
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lat = 0.0
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if not (ma.is_masked(item['RAdeg']) or ma.is_masked(item['DEdeg'])):
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ra = float(item['RAdeg'])
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dec = float(item['DEdeg'])
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crd = SkyCoord(ra, dec, frame=FK5(), unit="deg")
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lon = crd.galactic.l.value
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lat = crd.galactic.b.value
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healpix = hp.skycoord_to_healpix(crd)
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healpix_plate = hp_plate.skycoord_to_healpix(crd)
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else:
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continue
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sign=item['s4-10keV']
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obj = Heasarc3MAXI.objects.create(healpix=healpix,
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healpix_plate=healpix_plate,
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ra=ra,
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dec=dec,
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lii = lon,
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bii = lat,
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name="3MAXI {}".format(item['3MAXI']),
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error_radius = float(item['ePos'])*60*60,
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sign = sign,
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flux = float(item['F4-10keV']),)
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obj.save()
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print('--> Successfully loaded "%s"' % filename)
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pass
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class Command(BaseCommand):
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help = 'Initiates data dase'
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def handle(self, *args, **options):
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load_heasarc_table('/data/VizieR/3MAXI/table1.fits')
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self.stdout.write(self.style.SUCCESS('Done'))
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