parser.add_argument('-l',
required=False,
default='.',
type=str,
help='Destination directory for output logs.')
parser.add_argument('--archive-new',
required=False,
default=False,
action='store_true',
help='Store the copies of the images pulled via this '
'process to the database as HTTPArchiveCopies.')
args = parser.parse_args()
# read the data and pull the images
import zuds
import numpy as np
zuds.init_db(ref=True)
ids = np.genfromtxt(args.idfile, encoding='ascii', dtype=int).tolist()
retrieve_images(ids,
job_script_destination=args.j,
frame_destination=args.f,
log_destination=args.l,
archive_new=args.archive_new,
ipac=~args.no_http,
http=~args.no_local,
tape=~args.no_tape,
n_jobs=args.n_jobs,
preserve_dirs=~args.no_preserve_dirs)
import os
import sys
import zuds
import dosub
import shutil
import traceback
if __name__ == '__main__':
send_alerts = True
zuds.init_db()
infile = sys.argv[1]
refvers = sys.argv[2]
subclass = zuds.SingleEpochSubtraction
sciclass = zuds.ScienceImage
# get the work
imgs = zuds.get_my_share_of_work(infile)
subs = []
dirs = []
all_detections = []
for inpt in imgs:
s = zuds.ScienceImage.get_by_basename(os.path.basename(inpt))
fn = f'/global/cfs/cdirs/m937/www/data/scratch/{s.field:06d}/' \
f'c{s.ccdid:02d}/q{s.qid}/{zuds.fid_map[s.fid]}/{s.basename}'
shutil.copy(inpt, fn)
import zuds
zuds.init_db(timeout=60000)
import pandas as pd
import sys
import os
import time
from astropy.io import fits
from astropy.wcs import WCS
from sqlalchemy.dialects.postgresql import array
from functools import wraps
import errno
import signal
import sqlalchemy as sa
zuds.init_db()
__author__ = 'Danny Goldstein <*****@*****.**>'
__whatami__ = 'Do the photometry for ZUDS.'
infile = sys.argv[1] # file listing all the subs to do photometry on
outfile = sys.argv[2] # file listing all the photometry to load into the DB
# get the work
imgs = zuds.get_my_share_of_work(infile)
imgs = sorted(imgs,
key=lambda s: s[0].split('ztf_')[1].split('_')[0],
reverse=True)
def write_csv(output):
df = pd.DataFrame(output)