145 lines
6.0 KiB
Python
145 lines
6.0 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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from heasarc.tdat import tDat
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from heasarc.models import HeasarcTable, TableColumn, HeasarcXrayMaster, HeasarcObjectClass
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from heasarc.models import NSIDE_SOURCES, ORDER
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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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def load_heasarc_table(filename):
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tdatfile=INPUT_DATA_DIR+'/dump/'+filename
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data = astropy.table.Table.read(tdatfile, format='ascii.tdat')
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keywords = data.meta['keywords']
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for key, value in keywords.items():
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print(key, '->', value)
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try:
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table=HeasarcTable.objects.get(name__exact=keywords['table_name'])
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table.delete()
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except:
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pass
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table_name=keywords['table_name']
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table = HeasarcTable(name=keywords['table_name'])
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table.description=keywords['table_description'].replace('\"', '')
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table.document_url=keywords['table_document_url']
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if 'default_search_radius' in keywords:
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table.search_radius=int(keywords['default_search_radius'])
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if 'frequency_regime' in keywords:
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table.frequency_regime=keywords['frequency_regime']
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table.observatory_name=keywords['observatory_name']
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table.security=keywords['table_security']
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if 'table_author' in keywords:
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table.author=keywords['table_author']
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if 'catalog_bibcode' in keywords:
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table.bibcode=keywords['catalog_bibcode']
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if 'declination' in keywords:
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table.declination=keywords['declination'].replace('@', '')
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if 'right_ascension' in keywords:
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table.right_ascension=keywords['right_ascension'].replace('@', '')
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table.observatory_name = keywords['observatory_name']
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if 'parameter_defaults' in keywords:
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table.parameter_defaults = keywords['parameter_defaults']
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table.save()
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cols = data.meta['cols']
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for key, value in cols.items():
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column = TableColumn(table=table)
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column.name=key
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column.tdat_type=value['type']
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column.description=value['description']
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column.save()
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print(key, '->', value)
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# convert data frame to pandas
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# df = data.to_pandas()
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# sql = 'DROP TABLE IF EXISTS '+table_name+';'
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# result = engine.execute(sql)
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# Insert whole DataFrame into MySQL
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# df.to_sql(table_name, con = engine, if_exists = 'append', chunksize = 200000)
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tables = HeasarcXrayMaster.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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for item in data:
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class_id=9999
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if item['class'] != '':
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class_id = int(item['class'])
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try:
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object_class = HeasarcObjectClass.objects.get(class_id=class_id)
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except:
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print("HeasarcObjectClass not found for class_id=", class_id)
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object_class=None
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crd = SkyCoord(item['ra'], item['dec'], frame=FK5(), unit="deg")
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healpix = hp.skycoord_to_healpix(crd)
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obj = HeasarcXrayMaster.objects.create(healpix=healpix,
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ra=item['ra'],
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dec=item['dec'],
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lii=item['lii'],
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bii=item['bii'],
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error_radius=item['error_radius'],
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name=item['name'],
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database_table=item['database_table'],
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count_rate=item['count_rate'],
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count_rate_error=item['count_rate_error'],
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flux=item['flux'],
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exposure=item['exposure'],
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class_id=class_id,
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object_class=object_class,
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observatory=item['observatory'])
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obj.save()
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print('--> Successfully loaded "%s"' % table_name)
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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 add_arguments(self, parser):
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# parser.add_argument('poll_id', nargs='+', type=int)
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def handle(self, *args, **options):
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# create sqlalchemy engine
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# engine = create_engine("mysql+pymysql://{user}:{pw}@localhost/{db}"
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# .format(user="heauser",
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# pw="srg2019@L2_heasarc",
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# db="heasarc_db"))
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# engine = create_engine("postgresql://{user}:{pw}@localhost/{db}"
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# .format(user="heauser",
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# pw="srg2019@L2_heasarc",
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# db="heasarc_db"))
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load_heasarc_table('heasarc_xray.tdat.gz')
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return
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hp = HEALPix(nside=NSIDE_SOURCES, order=ORDER, frame=FK5())
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# update healpix only
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srcs = HeasarcXrayMaster.objects.all()
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for src in srcs:
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crd = SkyCoord(src.ra, src.dec, frame=FK5(), unit="deg")
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src.healpix = hp.skycoord_to_healpix(crd)
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src.save()
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self.stdout.write(self.style.SUCCESS('Done'))
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