def plant(expnums, ccd, rmin, rmax, ang, width, version='s'):
'''run the plant script on this combination of exposures'''
ptf = open('proc-these-files','w')
ptf.write("# Files to be planted and search\n")
ptf.write("# image fwhm plant\n")
for expnum in expnums:
fwhm = storage.get_fwhm(expnum,ccd)
filename = storage.get_image(expnum, ccd=ccd, version=version)
ptf.write("%s %3.1f YES\n" % ( filename[0:-5],
fwhm ))
for ext in ['apcor',
'obj.jmp',
'trans.jmp',
'psf.fits',
'mopheader',
'phot',
'zeropoint.used']:
apcor = storage.get_image(expnum, ccd=ccd, version='s',
ext=ext)
ptf.close()
cmd_args = ['plant.csh',os.curdir,
str(rmin), str(rmax), str(ang), str(width)]
util.exec_prog(cmd_args)
if args.dryrun:
# Don't push back to VOSpace
return
uri = storage.get_uri('Object',ext='planted',version='',
subdir=str(
expnums[0])+"/ccd%s" % (str(ccd).zfill(2)))
storage.copy('Object.planted',uri)
uri = os.path.join(os.path.dirname(uri), 'shifts')
storage.copy('shifts', uri)
for expnum in expnums:
uri = storage.get_uri(expnum,
ccd=ccd,
version=version,
ext='fits', prefix='fk')
filename = os.path.basename(uri)
storage.copy(filename, uri)
for ext in ['mopheader',
'psf.fits',
'fwhm',
'apcor', 'zeropoint.used', 'trans.jmp']:
storage.delete(expnum, ccd, 's', ext, prefix='fk')
storage.vlink(expnum, ccd, 'p', ext,
expnum, ccd, 's', ext, l_prefix='fk')
return
def step1(expnum,
ccd,
prefix='',
version='p',
fwhm=4,
sex_thresh=1.3,
wave_thresh=2.7,
maxcount=30000):
"""run the actual step1jmp/matt codes.
expnum: the CFHT expousre to process
ccd: which ccd in the mosaic to process
fwhm: the image quality, FWHM, of the image. In pixels.
sex_thresh: the detection threhold to run sExtractor at
wave_thresh: the detection threshold for wavelet
maxcount: saturation level
"""
filename = storage.get_image(expnum, ccd, version=version, prefix=prefix)
mopheader = storage.get_image(expnum, ccd, version=version,
ext='mopheader', prefix=prefix)
fwhm = storage.get_fwhm(expnum, ccd, prefix=prefix, version=version)
basename = os.path.splitext(filename)[0]
outfile = util.exec_prog(['step1jmp',
'-f', basename,
'-t', str(wave_thresh),
'-w', str(fwhm),
'-m', str(maxcount)])
obj_uri = storage.get_uri(expnum,ccd,version=version,ext='obj.jmp',
prefix=prefix)
obj_filename = basename+".obj.jmp"
storage.copy(obj_filename,obj_uri)
## for step1matt we need the weight image
hdulist = fits.open(filename)
flat_name = hdulist[0].header.get('FLAT','06Bm02.flat.r.36.01.fits')
flat_name = flat_name[0:-5]
flat_filename = storage.get_image(flat_name, ccd, version='', ext='fits',
subdir='calibrators', rescale=False)
if not os.access('weight.fits',os.R_OK):
os.symlink(flat_filename, 'weight.fits')
outfile = util.exec_prog(['step1matt',
'-f', basename,
'-t', str(sex_thresh),
'-w', str(fwhm),
'-m', str(maxcount)])
obj_uri = storage.get_uri(expnum,ccd,version=version,ext='obj.matt',
prefix=prefix)
obj_filename = basename+".obj.matt"
storage.copy(obj_filename,obj_uri)
return True
def step3(expnums, ccd, version, rate_min,
rate_max, angle, width, field=None, prefix=None, dry_run=False,
maximum_flux_ratio=3, minimum_area=5, minimum_median_flux=1000.0):
"""run the actual step3 on the given exp/ccd combo"""
jmp_args = ['step3jmp']
matt_args = ['step3jjk']
idx = 0
cmd_args = []
for expnum in expnums:
idx += 1
for ext in ['unid.jmp', 'unid.matt']:
storage.get_file(expnum, ccd=ccd, version=version, ext=ext, prefix=prefix)
image = os.path.splitext(os.path.basename(storage.get_uri(expnum, ccd, version=version, prefix=prefix)))[0]
cmd_args.append('-f%d' % idx)
cmd_args.append(image)
cmd_args.extend(['-rn', str(rate_min),
'-rx', str(rate_max),
'-a', str(angle),
'-w', str(width)])
jmp_args.extend(cmd_args)
# Add some extra arguemnents for the ISO search.
cmd_args.extend(['-fr', str(maximum_flux_ratio),
'-ma', str(minimum_area),
'-mf', str(minimum_median_flux)])
matt_args.extend(cmd_args)
logging.info(util.exec_prog(jmp_args))
logging.info(util.exec_prog(matt_args))
if dry_run:
return
if field is None:
field = str(expnums[0])
storage.mkdir(os.path.dirname(storage.get_uri(field,
ccd=ccd,
version=version,
prefix=prefix)))
for ext in ['moving.jmp', 'moving.matt']:
uri = storage.get_uri(field,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)
filename = '%s%d%s%s.%s' % (prefix, expnums[0],
version,
str(ccd).zfill(2),
ext)
storage.copy(filename, uri)
return
def step3(expnums, ccd, version, rate_min,
rate_max, angle, width, field=None, prefix=None):
'''run the actual step2 on the given exp/ccd combo'''
jmp_args = ['step3jmp']
matt_args = ['step3matt']
idx = 0
cmd_args = []
for expnum in expnums:
idx += 1
for ext in ['unid.jmp', 'unid.matt',
'trans.jmp' ]:
filename = storage.get_image(expnum,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix
)
image = os.path.splitext(os.path.splitext(os.path.basename(filename))[0])[0]
cmd_args.append('-f%d' % ( idx))
cmd_args.append(image)
cmd_args.extend(['-rn', str(rate_min),
'-rx', str(rate_max),
'-a', str(angle),
'-w', str(width)])
jmp_args.extend(cmd_args)
matt_args.extend(cmd_args)
util.exec_prog(jmp_args)
util.exec_prog(matt_args)
if field is None:
field = str(expnums[0])
storage.mkdir(os.path.dirname(
storage.get_uri(field,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)))
for ext in ['moving.jmp', 'moving.matt']:
uri = storage.get_uri(field,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)
filename = '%s%d%s%s.%s' % ( prefix, expnums[0],
version,
str(ccd).zfill(2),
ext)
storage.copy(filename, uri)
return
def plant(expnums, ccd, rmin, rmax, ang, width, number=10, mmin=21.0, mmax=25.5, version='s', dry_run=False):
"""Plant artificial sources into the list of images provided.
:param expnums: list of MegaPrime exposure numbers to add artificial KBOs to
:param ccd: which ccd to work on.
:param rmin: The minimum rate of motion to add sources at (''/hour)
:param rmax: The maximum rate of motion to add sources at (''/hour)
:param ang: The mean angle of motion to add sources
:param width: The +/- range of angles of motion
:param version: Add sources to the 'o', 'p' or 's' images
:param dry_run: don't push results to VOSpace.
"""
# Construct a list of artificial KBOs with positions in the image
# and rates of motion within the bounds given by the caller.
filename = storage.get_image(expnums[0],
ccd=ccd,
version=version)
header = fits.open(filename)[0].header
bounds = util.get_pixel_bounds_from_datasec_keyword(header.get('DATASEC', '[33:2080,1:4612]'))
# generate a set of artificial KBOs to add to the image.
kbos = KBOGenerator.get_kbos(n=number,
rate=(rmin, rmax),
angle=(ang - width, ang + width),
mag=(mmin, mmax),
x=(bounds[0][0], bounds[0][1]),
y=(bounds[1][0], bounds[1][1]),
filename='Object.planted')
for expnum in expnums:
filename = storage.get_image(expnum, ccd, version)
psf = storage.get_file(expnum, ccd, version, ext='psf.fits')
plant_kbos(filename, psf, kbos, get_shifts(expnum, ccd, version), "fk")
if dry_run:
return
uri = storage.get_uri('Object', ext='planted', version='',
subdir=str(
expnums[0]) + "/ccd%s" % (str(ccd).zfill(2)))
storage.copy('Object.planted', uri)
for expnum in expnums:
uri = storage.get_uri(expnum,
ccd=ccd,
version=version,
ext='fits', prefix='fk')
filename = os.path.basename(uri)
storage.copy(filename, uri)
return
def scramble(expnums, ccd, version='p', dry_run=False):
"""run the plant script on this combination of exposures"""
mjds = []
fobjs = []
for expnum in expnums:
filename = storage.get_image(expnum, ccd=ccd, version=version)
fobjs.append(fits.open(filename))
# Pull out values to replace in headers.. must pull them
# as otherwise we get pointers...
mjds.append(fobjs[-1][0].header['MJD-OBS'])
order = [0, 2, 1]
for idx in range(len(fobjs)):
logging.info("Flipping %d to %d" % (fobjs[idx][0].header['EXPNUM'],
expnums[order[idx]]))
fobjs[idx][0].header['EXPNUM'] = expnums[order[idx]]
fobjs[idx][0].header['MJD-OBS'] = mjds[order[idx]]
uri = storage.get_uri(expnums[order[idx]],
ccd=ccd,
version='s',
ext='fits')
fname = os.path.basename(uri)
if os.access(fname, os.F_OK):
os.unlink(fname)
fobjs[idx].writeto(fname)
if dry_run:
continue
storage.copy(fname, uri)
return
def cutout(obj, obj_dir, radius, username, password):
for obs in obj.mpc_observations: # FIXME: TESTING ONLY
if obs.null_observation:
continue
expnum = obs.comment.frame.split('p')[0] # only want calibrated images
# Using the WCS rather than the X/Y, as the X/Y can be unreliable on a long-term basis
this_cutout = "CIRCLE ICRS {} {} {}".format(obs.coordinate.ra.degree,
obs.coordinate.dec.degree,
radius)
print this_cutout
# FIXME: should be able to use line below, but bug in VOSpace requires direct-access workaround, for now.
# postage_stamp = storage.get_image(expnum, cutout=cutout)
target = storage.vospace.fixURI(storage.get_uri(expnum))
direction = "pullFromVoSpace"
protocol = "ivo://ivoa.net/vospace/core#httpget"
view = "cutout"
params = {"TARGET": target,
"PROTOCOL": protocol,
"DIRECTION": direction,
"cutout": this_cutout,
"view": view}
r = requests.get(BASEURL, params=params, auth=(username, password))
r.raise_for_status() # confirm the connection worked as hoped
postage_stamp_filename = "{}_{:11.5f}_{:09.5f}_{:+09.5f}.fits".format(obj.provisional_name,
obs.date.mjd,
obs.coordinate.ra.degree,
obs.coordinate.dec.degree)
logging.info("{}".format(postage_stamp_filename))
with open(postage_stamp_filename, 'w') as tmp_file:
tmp_file.write(r.content)
storage.copy(postage_stamp_filename, obj_dir + "/" + postage_stamp_filename)
os.unlink(postage_stamp_filename) # easier not to have them hanging around
def scramble(expnums, ccd, version='p', dry_run=False):
"""run the plant script on this combination of exposures"""
mjds = []
fobjs = []
for expnum in expnums:
filename = storage.get_image(expnum, ccd=ccd, version=version)
fobjs.append(fits.open(filename))
# Pull out values to replace in headers.. must pull them
# as otherwise we get pointers...
mjds.append(fobjs[-1][0].header['MJD-OBS'])
order = [0, 2, 1]
for idx in range(len(fobjs)):
logging.info("Flipping %d to %d" % (fobjs[idx][0].header['EXPNUM'],
expnums[order[idx]]))
fobjs[idx][0].header['EXPNUM'] = expnums[order[idx]]
fobjs[idx][0].header['MJD-OBS'] = mjds[order[idx]]
uri = storage.get_uri(expnums[order[idx]],
ccd=ccd,
version='s',
ext='fits')
fname = os.path.basename(uri)
if os.access(fname, os.F_OK):
os.unlink(fname)
fobjs[idx].writeto(fname)
if dry_run:
continue
storage.copy(fname, uri)
return
def parse_ssois_return(ssois_return, object_name, imagetype, camera_filter='r.MP9601',
telescope_instrument='CFHT/MegaCam'):
"""
Parse through objects in ssois query and filter out images of desired filter, type, exposure time, and instrument
"""
assert camera_filter in ['r.MP9601', 'u.MP9301']
ret_table = []
good_table = 0
table_reader = ascii.get_reader(Reader=ascii.Basic)
table_reader.inconsistent_handler = _skip_missing_data
table_reader.header.splitter.delimiter = '\t'
table_reader.data.splitter.delimiter = '\t'
table = table_reader.read(ssois_return)
for row in table:
# Excludes the OSSOS wallpaper.
# note: 'Telescope_Insturment' is a typo in SSOIS's return format
if not 'MegaCam' in row['Telescope_Insturment']:
continue
if not storage.exists(storage.get_uri(row['Image'][:-1])): #Check if image of object exists in OSSOS observations
continue
if not str(row['Image_target']).startswith('WP'):
good_table += 1
ret_table.append(row)
if good_table > 0:
print " %d images found" % good_table
return ret_table
def cutout(member, object_name, image, ra, dec, radius, ra_rate, dec_rate):
global vos_dir
if member == 'none':
vos_dir = '{}/nofamily'.format(_VOS_PATH) #Planned to sort stamps on VOS into groups, but this didn't happen and so currently everything will be saved to /hasfamily
else:
vos_dir = '{}/hasfamily'.format(_VOS_PATH)
radius = radius * units.deg
expnum = image.strip('p') # only use processed images
target = storage.get_uri(expnum)
coord = SkyCoord(unit="deg", ra=ra, dec=dec)
hdulist = storage.ra_dec_cutout(target, coord, radius)
hdulist[0].header['OBJNUM'] = (object_name,'object') #Put image info into header for later use
hdulist[0].header['RA'] = (ra,'degrees')
hdulist[0].header['DEC'] = (dec,'degrees')
hdulist[0].header['RARATE'] = (ra_rate,'arcsec/hr')
hdulist[0].header['DECRATE'] = (dec_rate,'arcsec/hr')
postage_stamp_filename = "{}_{}_{:8f}_{:8f}.fits".format(object_name, image, float(ra), float(dec))
print postage_stamp_filename
hdulist.writeto("{}/{}".format(_STAMPS_DIR, postage_stamp_filename), output_verify='warn', clobber=True)
del hdulist
try:
storage.copy('{}/{}'.format(_STAMPS_DIR, postage_stamp_filename),
'{}/{}'.format(vos_dir, postage_stamp_filename))
except Exception, e:
print e
def get_sky(expnum, ccd):
uri = storage.get_uri(expnum, ccd, ext='phot')
fobj = StringIO(storage.open_vos_or_local(uri).read())
fobj.seek(0)
phot_table = ascii.read(fobj)
return phot_table['MSKY'].mean()
def get_sky(expnum, ccd):
uri = storage.get_uri(expnum, ccd, ext='phot')
fobj = StringIO(storage.open_vos_or_local(uri).read())
fobj.seek(0)
phot_table = ascii.read(fobj)
return phot_table['MSKY'].mean()
def parse_ssois_return(ssois_return, object_name, imagetype, camera_filter='r.MP9601',
telescope_instrument='CFHT/MegaCam'):
"""
Parse through objects in ssois query and filter out images of desired filter, type, exposure time, and instrument
"""
assert camera_filter in ['r.MP9601', 'u.MP9301']
ret_table = []
good_table = 0
table_reader = ascii.get_reader(Reader=ascii.Basic)
table_reader.inconsistent_handler = _skip_missing_data
table_reader.header.splitter.delimiter = '\t'
table_reader.data.splitter.delimiter = '\t'
table = table_reader.read(ssois_return)
for row in table:
# Excludes the OSSOS wallpaper.
# note: 'Telescope_Insturment' is a typo in SSOIS's return format
if not 'MegaCam' in row['Telescope_Insturment']:
continue
# Check if image of object exists in OSSOS observations
if not storage.exists(storage.get_uri(row['Image'][:-1])):
continue
if not str(row['Image_target']).startswith('WP'):
good_table += 1
ret_table.append(row)
if good_table > 0:
print((" %d images found" % good_table))
return ret_table
def plant(expnums, ccd, rmin, rmax, ang, width, version="s"):
"""run the plant script on this combination of exposures"""
ptf = open("proc-these-files", "w")
ptf.write("# Files to be planted and search\n")
ptf.write("# image fwhm plant\n")
for expnum in expnums:
fwhm = storage.get_fwhm(expnum, ccd, version=version)
filename = storage.get_image(expnum, ccd=ccd, version=version)
ptf.write("%s %3.1f YES\n" % (filename[0:-5], fwhm))
for ext in ["apcor", "obj.jmp", "trans.jmp", "psf.fits", "mopheader", "phot", "zeropoint.used"]:
apcor = storage.get_image(expnum, ccd=ccd, version=version, ext=ext)
ptf.close()
cmd_args = ["plant.csh", os.curdir, str(rmin), str(rmax), str(ang), str(width)]
util.exec_prog(cmd_args)
if args.dryrun:
# Don't push back to VOSpace
return
uri = storage.get_uri("Object", ext="planted", version="", subdir=str(expnums[0]) + "/ccd%s" % (str(ccd).zfill(2)))
storage.copy("Object.planted", uri)
uri = os.path.join(os.path.dirname(uri), "plant.shifts")
storage.copy("shifts", uri)
for expnum in expnums:
uri = storage.get_uri(expnum, ccd=ccd, version=version, ext="fits", prefix="fk")
filename = os.path.basename(uri)
storage.copy(filename, uri)
for ext in ["mopheader", "psf.fits", "fwhm", "apcor", "zeropoint.used", "trans.jmp"]:
storage.delete(expnum, ccd, "s", ext, prefix="fk")
storage.vlink(expnum, ccd, "s", ext, expnum, ccd, "s", ext, l_prefix="fk")
return
def scramble(expnums, ccd, version='p'):
'''run the plant script on this combination of exposures'''
mjds = []
fobjs = []
for expnum in expnums:
filename = storage.get_image(expnum, ccd=ccd, version=version)
fobjs.append(fits.open(filename))
# Pull out values to replace in headers.. must pull them
# as otherwise we get pointers...
mjds.append(fobjs[-1][0].header['MJD-OBS'])
order = [1,0,2]
for idx in range(len(fobjs)):
logging.info("Flipping %d to %d" % ( fobjs[idx][0].header['EXPNUM'],
expnums[order[idx]]))
fobjs[idx][0].header['EXPNUM'] = expnums[order[idx]]
fobjs[idx][0].header['MJD-OBS'] = mjds[order[idx]]
uri = storage.get_uri(expnums[order[idx]],
ccd=ccd,
version='s',
ext='fits')
fname = os.path.basename(uri)
if os.access(fname, os.F_OK):
os.unlink(fname)
fobjs[idx].writeto(fname)
storage.copy(fname, uri)
# now make a link between files that the plant system will need
for ext in ['apcor', 'obj.jmp', 'mopheader', 'phot',
'psf.fits','trans.jmp', 'zeropoint.used', 'fwhm']:
if storage.exists(storage.get_uri(expnums[order[idx]], ccd, 's', ext)):
storage.delete(expnums[order[idx]], ccd, 's', ext)
storage.vlink(expnums[idx], ccd, 'p', ext,
expnums[order[idx]], ccd, 's', ext)
return
def get_iq_and_zeropoint(image, header_extract): try: # 22 is the standard chip: mid lower fwhm = storage.get_tag(image, 'fwhm_22') if fwhm is None: fwhm_file = storage.get_uri(image, ccd=22, ext='fwhm')# hfile+'/ccd22/'+image+'p22.fwhm' print fwhm_file fwhm = float(storage.vospace.open(fwhm_file,view='data').read()) # now can we work with it? if fwhm is not None: iq = float(fwhm)*0.1850 # plate scale is 0.1850 arcsec/pixel header_extract['iq_ossos'] = iq else: header_extract['iq_ossos'] = fwhm # HACKED FOR NOW, WILL BE ADJUSTED LATER except Exception, e: header_extract['iq_ossos'] = None # HACKED FOR NOW, FIX LATER
def cutout(obj, obj_dir, radius):
cutout_listing = storage.listdir(obj_dir, force=True)
for obs in obj.mpc_observations:
if obs.null_observation:
logging.debug('skipping: {}'.format(obs))
continue
if obs.date > parameters.SURVEY_START:
# can't make postage stamps of earlier linkages
# can't parse for an obs.comment's exposure number if no
# obs.comment exists
try:
parts = storage.frame2expnum(obs.comment.frame)
except Exception as ex:
logging.warning(f"Skipping: {obs}")
logging.debug(f"Failed to map comment.frame to expnum: {ex}")
continue
uri = storage.get_uri(parts['expnum'], version=parts['version'])
sky_coord = obs.coordinate
# Using the WCS rather than the X/Y
# (X/Y can be unreliable over the whole survey)
postage_stamp_filename = f"{obj.provisional_name}_" \
f"{obs.date.mjd:11.5f}_" \
f"{obs.coordinate.ra.degree:09.5f}_" \
f"{obs.coordinate.dec.degeee:09.5f}.fits"
if postage_stamp_filename in cutout_listing:
# skipping existing cutouts
continue
# ast_header = storage._get_sghead(parts['expnum'])
while True:
try:
hdulist = storage.ra_dec_cutout(uri, sky_coord, radius, update_wcs=True)
with open(postage_stamp_filename, 'w') as tmp_file:
hdulist.writeto(tmp_file, overwrite=True, output_verify='fix+ignore')
storage.copy(postage_stamp_filename, obj_dir + "/" + postage_stamp_filename)
os.unlink \
(postage_stamp_filename) # easier not to have them hanging around
except OSError as e: # occasionally the node is not found: report and move on for later cleanup
logging.error("OSError: -> " +str(e))
except Exception as e:
logging.error("Exception: -> " +str(e))
continue
break
def cutout(obj, obj_dir, radius):
cutout_listing = storage.listdir(obj_dir, force=True)
for obs in obj.mpc_observations:
if obs.null_observation:
logging.debug('skipping: {}'.format(obs))
continue
if obs.date > parameters.SURVEY_START: # can't make postage stamps of earlier linkages
# can't parse for an obs.comment's exposure number if no obs.comment exists
try:
parts = storage.frame2expnum(obs.comment.frame)
except Exception as ex:
logging.error("Skipping: {}\nFailed to map comment.frame to expnum: {}".format(obs, ex))
continue
uri = storage.get_uri(parts['expnum'], version=parts['version'])
sky_coord = obs.coordinate # Using the WCS rather than the X/Y (X/Y can be unreliable over the whole survey)
postage_stamp_filename = "{}_{:11.5f}_{:09.5f}_{:+09.5f}.fits".format(obj.provisional_name,
obs.date.mjd,
obs.coordinate.ra.degree,
obs.coordinate.dec.degree)
if postage_stamp_filename in cutout_listing:
# skipping existing cutouts
continue
# ast_header = storage._get_sghead(parts['expnum'])
while True:
try:
hdulist = storage.ra_dec_cutout(uri, sky_coord, radius, update_wcs=True)
with open(postage_stamp_filename, 'w') as tmp_file:
hdulist.writeto(tmp_file, overwrite=True, output_verify='fix+ignore')
storage.copy(postage_stamp_filename, obj_dir + "/" + postage_stamp_filename)
os.unlink(postage_stamp_filename) # easier not to have them hanging around
except OSError as e: # occasionally the node is not found: report and move on for later cleanup
logging.error("OSError: ->"+str(e))
except Exception as e:
logging.error("Exception: ->"+str(e))
continue
break
def cutout(obj, obj_dir, radius):
print(len([n for n in obj.mpc_observations if not n.null_observation]))
for obs in obj.mpc_observations:
print('starting analysis of {}'.format(str(obs)))
if obs.null_observation:
print('skipping')
continue
if obs.date > parameters.SURVEY_START: # can't make postage stamps of earlier linkages
# can't parse for an obs.comment's exposure number if no obs.comment exists
try:
expnum = obs.comment.frame.split('p')[0].strip(' ') # only want calibrated images
except AttributeError, e:
print('No comment in this MPC line!')
continue
if not expnum.isdigit():
print('expnum {} parsed from comment line invalid. Check comment parsing.\n{}'.format(
expnum, str(obs.comment))
)
continue
uri = storage.get_uri(expnum)
sky_coord = obs.coordinate # Using the WCS rather than the X/Y (X/Y can be unreliable over the whole survey)
print('Trying {} on {} on {}...'.format(obj.provisional_name, obs.date, expnum))
try:
hdulist = storage.ra_dec_cutout(uri, sky_coord, radius)
# if not 'ASTLEVEL' in hdulist[1].header: # FIXME: activate once all headers are retro-fitted with ASTLEVEL
# logging.info('Cutout invalid for use. Skipping inclusion.\n')
# continue
postage_stamp_filename = "{}_{:11.5f}_{:09.5f}_{:+09.5f}.fits".format(obj.provisional_name,
obs.date.mjd,
obs.coordinate.ra.degree,
obs.coordinate.dec.degree)
print("{}".format(postage_stamp_filename))
with open(postage_stamp_filename, 'w') as tmp_file:
hdulist.writeto(tmp_file, clobber=True)
storage.copy(postage_stamp_filename, obj_dir + "/" + postage_stamp_filename)
os.unlink(postage_stamp_filename) # easier not to have them hanging around
except OSError, e: # occasionally the node is not found: report and move on for later cleanup
print e
continue
def scramble(expnums, ccd, version='p'):
'''run the plant script on this combination of exposures'''
mjds = []
fobjs = []
for expnum in expnums:
filename = storage.get_image(expnum, ccd=ccd, version=version)
fobjs.append(fits.open(filename))
# Pull out values to replace in headers.. must pull them
# as otherwise we get pointers...
mjds.append(fobjs[-1][0].header['MJD-OBS'])
order = [1, 0, 2]
for idx in range(len(fobjs)):
logging.info("Flipping %d to %d" %
(fobjs[idx][0].header['EXPNUM'], expnums[order[idx]]))
fobjs[idx][0].header['EXPNUM'] = expnums[order[idx]]
fobjs[idx][0].header['MJD-OBS'] = mjds[order[idx]]
uri = storage.get_uri(expnums[order[idx]],
ccd=ccd,
version='s',
ext='fits')
fname = os.path.basename(uri)
if os.access(fname, os.F_OK):
os.unlink(fname)
fobjs[idx].writeto(fname)
storage.copy(fname, uri)
# now make a link between files that the plant system will need
for ext in [
'apcor', 'obj.jmp', 'mopheader', 'phot', 'psf.fits',
'trans.jmp', 'zeropoint.used', 'fwhm'
]:
storage.delete(expnums[order[idx]], ccd, 's', ext)
storage.vlink(expnums[idx], ccd, 'p', ext, expnums[order[idx]],
ccd, 's', ext)
return
def get_star_data(asteroid_id, mag, expnum, header):
"""
From ossos psf fitted image, calculate mean of the flux of each row of the rotated PSF
"""
# calculate mean psf
uri = storage.get_uri(expnum.strip('p'), header[_CCD].split('d')[1])
ossos_psf = '{}.psf.fits'.format(uri.strip('.fits'))
local_psf = '{}{}.psf.fits'.format(expnum, header[_CCD].split('d')[1])
local_file_path = '{}/{}'.format(_STAMPS_DIR, local_psf)
storage.copy(ossos_psf, local_file_path)
# pvwcs = wcs.WCS(header)
# x, y = pvwcs.sky2xy(asteroid_id['ra'].values, asteroid_id['dec'].values)
x = asteroid_id[_XMID_HEADER].values[0]
y = asteroid_id[_YMID_HEADER].values[0]
# run seepsf on the mean psf image
iraf.set(uparm="./")
iraf.digiphot(_doprint=0)
iraf.apphot(_doprint=0)
iraf.daophot(_doprint=0)
iraf.seepsf(local_file_path, local_psf, xpsf=x, ypsf=y, magnitude=mag)
with fits.open(local_psf) as hdulist:
data = hdulist[0].data
th = math.degrees(asteroid_id[_THETA_HEADER].values[0])
data_rot = rotate(data, th)
data_rot = np.ma.masked_where(data_rot == 0, data_rot)
data_mean = np.ma.mean(data_rot, axis=1)
os.unlink(local_psf)
os.unlink(local_file_path)
return data_mean[np.nonzero(np.ma.fix_invalid(data_mean, fill_value=0))[0]]
def run(expnum,
ccd,
prefix='',
version='p',
sex_thresh=_SEX_THRESHOLD,
wave_thresh=_WAVE_THRESHOLD,
maxcount=_MAX_COUNT,
dry_run=False,
force=True, ignore=False):
"""run the actual step1jmp/matt codes.
expnum: the CFHT expousre to process
ccd: which ccd in the mosaic to process
fwhm: the image quality, FWHM, of the image. In pixels.
sex_thresh: the detection threhold to run sExtractor at
wave_thresh: the detection threshold for wavelet
maxcount: saturation level
"""
message = storage.SUCCESS
if storage.get_status(task, prefix, expnum, version, ccd) and not force:
logging.info("{} completed successfully for {} {} {} {}".format(task, prefix, expnum, version, ccd))
return
with storage.LoggingManager(task, prefix, expnum, ccd, version, dry_run):
try:
if not storage.get_status(dependency, prefix, expnum, version, ccd) and not ignore:
raise IOError(35, "Cannot start {} as {} not yet completed for {}{}{}{:02d}".format(
task, dependency, prefix, expnum, version, ccd))
logging.info("Retrieving imaging and input parameters from VOSpace")
storage.get_file(expnum, ccd, prefix=prefix, version=version, ext='mopheader')
filename = storage.get_image(expnum, ccd, version=version, prefix=prefix)
fwhm = storage.get_fwhm(expnum, ccd, prefix=prefix, version=version, default=3.5)
basename = os.path.splitext(filename)[0]
_get_weight_map(filename, ccd)
logging.info("Launching step1jmp")
logging.info(util.exec_prog(['step1jmp',
'-f', basename,
'-t', str(wave_thresh),
'-w', str(fwhm),
'-m', str(maxcount)]))
logging.info(util.exec_prog(['step1matt',
'-f', basename,
'-t', str(sex_thresh),
'-w', str(fwhm),
'-m', str(maxcount)]))
if os.access('weight.fits', os.R_OK):
os.unlink('weight.fits')
if not dry_run:
for ext in ['obj.jmp', 'obj.matt']:
obj_uri = storage.get_uri(expnum, ccd, version=version, ext=ext,
prefix=prefix)
obj_filename = basename + "." + ext
count = 0
with open(obj_filename, 'r'):
while True:
try:
count += 1
logging.info("Attempt {} to copy {} -> {}".format(count, obj_filename, obj_uri))
storage.copy(obj_filename, obj_uri)
break
except Exception as ex:
if count > 10:
raise ex
logging.info(message)
except Exception as ex:
message = str(ex)
logging.error(message)
if not dry_run:
storage.set_status(task, prefix, expnum, version, ccd, status=message)
def combine(expnum, ccd, prefix=None, type='p', field=None, measure3=MEASURE3 ):
if field is None:
field=str(expnum)
if prefix is not None and len(prefix) > 0:
field = "%s_%s" % ( prefix, field )
field += "_%s" % ( str(ccd))
for ext in ['moving.matt','moving.jmp']:
fname = storage.get_image(expnum,
ccd=ccd,
prefix=prefix,
version=type, ext=ext)
if prefix is not None and len(prefix) > 0:
planted = storage.get_image('Object',
subdir=str(expnum)+"/ccd%s" % (
str(ccd).zfill(2)),
version='',
ext='planted')
else:
prefix = ''
base_image = os.path.basename(
storage.get_uri(expnum,
ccd=ccd,
prefix=prefix,
version=type,
ext=None))
cmd_args = ['comb-list', prefix+str(expnum)+type+str(ccd).zfill(2)]
util.exec_prog(cmd_args)
ext_list = ['cands.comb']
if prefix is not None and len(prefix) > 0 :
ext_list.extend( [ 'jmp.missed', 'matt.missed',
'jmp.found', 'matt.found',
'comb.missed', 'comb.found' ] )
for ext in ext_list:
uri = storage.get_uri(expnum,
ccd=ccd,
prefix=prefix,
version=type,
ext=ext)
filename = os.path.basename(uri)
if not os.access(filename,os.R_OK):
logging.critical("No %s file" % (filename))
continue
vospace_name = "%s.%s" % ( field, ext )
logging.info("%s -> %s" % ( filename, os.path.join(measure3, vospace_name)))
storage.copy(filename, os.path.join(measure3, vospace_name))
base_name = prefix+str(expnum)+type+str(ccd).zfill(2)
cands_file = base_name+'.cands.comb'
if not os.access(cands_file,os.R_OK):
nocands_file = ( prefix+
str(expnum)+
type+
str(ccd).zfill(2)+
'.no_candidates' )
open(nocands_file, 'w').close()
vospace_name = "%s.no_candidates" % ( field )
storage.copy(nocands_file,os.path.join(measure3, vospace_name))
return storage.SUCCESS
# get the images we need to compute x/y ra/dec transforms
cands_file = mop_file.Parser().parse(cands_file)
for file_id in cands_file.header.file_ids:
rec_no=cands_file.header.file_ids.index(file_id)
storage.get_image(expnum=cands_file.header.keywords['EXPNUM'][rec_no],
ccd=ccd,
version=type,
prefix=prefix,
ext='fits')
cmd_args = ['measure3', prefix+str(expnum)+type+str(ccd).zfill(2)]
logging.info("Running measure3")
util.exec_prog(cmd_args)
filename=base_name+".measure3.cands.astrom"
vospace_filename = "%s.measure3.cands.astrom" % ( field)
storage.copy(filename, os.path.join(measure3,vospace_filename))
return storage.SUCCESS
def plant(expnums,
ccd,
rmin,
rmax,
ang,
width,
number=10,
mmin=21.0,
mmax=25.5,
version='s',
dry_run=False,
force=True):
"""Plant artificial sources into the list of images provided.
@param dry_run: don't push results to VOSpace.
@param width: The +/- range of angles of motion
@param ang: The mean angle of motion to add sources
@param rmax: The maximum rate of motion to add sources at (''/hour)
@param rmin: The minimum rate of motion to add sources at (''/hour)
@param expnums: list of MegaPrime exposure numbers to add artificial KBOs to
@param ccd: which ccd to work on.
@param mmax: Maximum magnitude to plant sources at
@param version: Add sources to the 'o', 'p' or 's' images
@param mmin: Minimum magnitude to plant sources at
@param number: number of sources to plant.
@param force: Run, even if we already succeeded at making a fk image.
"""
message = storage.SUCCESS
if storage.get_status(task, "", expnums[0], version, ccd) and not force:
logging.info("{} completed successfully for {}{}{}{:02d}".format(
task, "", expnums[0], version, ccd))
return
with storage.LoggingManager(task, "", expnums[0], ccd, version, dry_run):
try:
# Construct a list of artificial KBOs with positions in the image
# and rates of motion within the bounds given by the caller.
filename = storage.get_image(expnums[0], ccd=ccd, version=version)
header = fits.open(filename)[0].header
bounds = util.get_pixel_bounds_from_datasec_keyword(
header.get('DATASEC', '[33:2080,1:4612]'))
# generate a set of artificial KBOs to add to the image.
kbos = KBOGenerator.get_kbos(n=number,
rate=(rmin, rmax),
angle=(ang - width, ang + width),
mag=(mmin, mmax),
x=(bounds[0][0], bounds[0][1]),
y=(bounds[1][0], bounds[1][1]),
filename='Object.planted')
for expnum in expnums:
filename = storage.get_image(expnum, ccd, version)
psf = storage.get_file(expnum, ccd, version, ext='psf.fits')
plant_kbos(filename, psf, kbos,
get_shifts(expnum, ccd, version), "fk")
if dry_run:
return
uri = storage.get_uri('Object',
ext='planted',
version='',
subdir=f"{expnums[0]}/ccd{int(ccd):02d}")
storage.copy('Object.planted', uri)
for expnum in expnums:
uri = storage.get_uri(expnum,
ccd=ccd,
version=version,
ext='fits',
prefix='fk')
filename = os.path.basename(uri)
storage.copy(filename, uri)
except Exception as ex:
message = str(ex)
logging.error(message)
storage.set_status(task, "", expnums[0], version, ccd, status=message)
return
def plant(expnums, ccd, rmin, rmax, ang, width, version='s'):
'''run the plant script on this combination of exposures'''
ptf = open('proc-these-files', 'w')
ptf.write("# Files to be planted and search\n")
ptf.write("# image fwhm plant\n")
for expnum in expnums:
fwhm = storage.get_fwhm(expnum, ccd)
filename = storage.get_image(expnum, ccd=ccd, version=version)
ptf.write("%s %3.1f YES\n" % (filename[0:-5], fwhm))
for ext in [
'apcor', 'obj.jmp', 'trans.jmp', 'psf.fits', 'mopheader',
'phot', 'zeropoint.used'
]:
apcor = storage.get_image(expnum, ccd=ccd, version='s', ext=ext)
ptf.close()
cmd_args = [
'plant.csh', os.curdir,
str(rmin),
str(rmax),
str(ang),
str(width)
]
util.exec_prog(cmd_args)
if args.dryrun:
# Don't push back to VOSpace
return
uri = storage.get_uri('Object',
ext='planted',
version='',
subdir=str(expnums[0]) + "/ccd%s" %
(str(ccd).zfill(2)))
storage.copy('Object.planted', uri)
uri = os.path.join(os.path.dirname(uri), 'shifts')
storage.copy('shifts', uri)
for expnum in expnums:
uri = storage.get_uri(expnum,
ccd=ccd,
version=version,
ext='fits',
prefix='fk')
filename = os.path.basename(uri)
storage.copy(filename, uri)
for ext in [
'mopheader', 'psf.fits', 'fwhm', 'apcor', 'zeropoint.used',
'trans.jmp'
]:
storage.delete(expnum, ccd, 's', ext, prefix='fk')
storage.vlink(expnum,
ccd,
'p',
ext,
expnum,
ccd,
's',
ext,
l_prefix='fk')
return
def step3(expnums,
ccd,
version,
rate_min,
rate_max,
angle,
width,
field=None,
prefix=None):
'''run the actual step2 on the given exp/ccd combo'''
jmp_args = ['step3jmp']
matt_args = ['step3matt']
idx = 0
cmd_args = []
for expnum in expnums:
idx += 1
for ext in ['unid.jmp', 'unid.matt', 'trans.jmp']:
filename = storage.get_image(expnum,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)
image = os.path.splitext(
os.path.splitext(os.path.basename(filename))[0])[0]
cmd_args.append('-f%d' % (idx))
cmd_args.append(image)
cmd_args.extend([
'-rn',
str(rate_min), '-rx',
str(rate_max), '-a',
str(angle), '-w',
str(width)
])
jmp_args.extend(cmd_args)
matt_args.extend(cmd_args)
util.exec_prog(jmp_args)
util.exec_prog(matt_args)
if field is None:
field = str(expnums[0])
storage.mkdir(
os.path.dirname(
storage.get_uri(field,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)))
for ext in ['moving.jmp', 'moving.matt']:
uri = storage.get_uri(field,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)
filename = '%s%d%s%s.%s' % (prefix, expnums[0], version,
str(ccd).zfill(2), ext)
storage.copy(filename, uri)
return
def align(expnums, ccd, version='s', prefix='', dry_run=False, force=True):
"""Create a 'shifts' file that transforms the space/flux/time scale of all
images to the first image.
This function relies on the .fwhm, .trans.jmp, .phot and .zeropoint.used files for inputs.
The scaling we are computing here is for use in planting sources into the image at the same sky/flux locations
while accounting for motions of sources with time.
:param expnums: list of MegaPrime exposure numbers to add artificial KBOs to,
the first frame in the list is the reference.
:param ccd: which ccd to work on.
:param prefix: put this string in front of expnum when looking for exposure, normally '' or 'fk'
:param force: When true run task even if this task is recorded as having succeeded
:param version: Add sources to the 'o', 'p' or 's' images
:param dry_run: don't push results to VOSpace.
"""
message = storage.SUCCESS
if storage.get_status(task, prefix, expnums[0], version,
ccd) and not force:
logging.info("{} completed successfully for {} {} {} {}".format(
task, prefix, expnums[0], version, ccd))
return
# Get the images and supporting files that we need from the VOSpace area
# get_image and get_file check if the image/file is already on disk.
# re-computed fluxes from the PSF stars and then recompute x/y/flux scaling.
# some dictionaries to hold the various scale
pos = {}
apcor = {}
mags = {}
zmag = {}
mjdates = {}
with storage.LoggingManager(task, prefix, expnums[0], ccd, version,
dry_run):
try:
for expnum in expnums:
filename = storage.get_image(expnum, ccd=ccd, version=version)
zmag[expnum] = storage.get_zeropoint(expnum,
ccd,
prefix=None,
version=version)
mjdates[expnum] = float(
fits.open(filename)[0].header.get('MJD-OBS'))
apcor[expnum] = [
float(x) for x in open(
storage.get_file(
expnum,
ccd=ccd,
version=version,
ext=storage.APCOR_EXT)).read().split()
]
keys = ['crval1', 'cd1_1', 'cd1_2', 'crval2', 'cd2_1', 'cd2_2']
# load the .trans.jmp values into a 'wcs' like dictionary.
# .trans.jmp maps current frame to reference frame in pixel coordinates.
# the reference frame of all the frames supplied must be the same.
shifts = dict(
list(
zip(keys, [
float(x) for x in open(
storage.get_file(
expnum,
ccd=ccd,
version=version,
ext='trans.jmp')).read().split()
])))
shifts['crpix1'] = 0.0
shifts['crpix2'] = 0.0
# now create a wcs object based on those transforms, this wcs links the current frame's
# pixel coordinates to the reference frame's pixel coordinates.
w = get_wcs(shifts)
# get the PHOT file that was produced by the mkpsf routine
logging.debug("Reading .phot file {}".format(expnum))
phot = ascii.read(storage.get_file(expnum,
ccd=ccd,
version=version,
ext='phot'),
format='daophot')
# compute the small-aperture magnitudes of the stars used in the PSF
logging.debug("Running phot on {}".format(filename))
mags[expnum] = daophot.phot(filename,
phot['XCENTER'],
phot['YCENTER'],
aperture=apcor[expnum][0],
sky=apcor[expnum][1] + 1,
swidth=apcor[expnum][0],
zmag=zmag[expnum])
# covert the x/y positions to positions in Frame 1 based on the trans.jmp values.
logging.debug(
"Doing the XY translation to refrence frame: {}".format(w))
(x, y) = w.wcs_pix2world(mags[expnum]["XCENTER"],
mags[expnum]["YCENTER"], 1)
pos[expnum] = numpy.transpose([x, y])
# match this exposures PSF stars position against those in the first image of the set.
logging.debug("Matching lists")
idx1, idx2 = util.match_lists(pos[expnums[0]], pos[expnum])
# compute the magnitdue offset between the current frame and the reference.
dmags = numpy.ma.array(
mags[expnums[0]]["MAG"] - apcor[expnums[0]][2] -
(mags[expnum]["MAG"][idx1] - apcor[expnum][2]),
mask=idx1.mask)
dmags.sort()
# logging.debug("Computed dmags between input and reference: {}".format(dmags))
error_count = 0
error_count += 1
logging.debug("{}".format(error_count))
# compute the median and determine if that shift is small compared to the scatter.
try:
midx = int(
numpy.sum(numpy.any([~dmags.mask], axis=0)) / 2.0)
dmag = float(dmags[midx])
logging.debug("Computed a mag delta of: {}".format(dmag))
except Exception as e:
logging.error(str(e))
logging.error(
"Failed to compute mag offset between plant and found using: {}"
.format(dmags))
dmag = 99.99
error_count += 1
logging.debug("{}".format(error_count))
try:
if math.fabs(dmag) > 3 * (dmags.std() + 0.01):
logging.warning(
"Magnitude shift {} between {} and {} is large: {}"
.format(dmag, expnums[0], expnum, shifts))
except Exception as e:
logging.error(str(e))
error_count += 1
logging.debug("{}".format(error_count))
shifts['dmag'] = dmag
shifts['emag'] = dmags.std()
shifts['nmag'] = len(dmags.mask) - dmags.mask.sum()
shifts['dmjd'] = mjdates[expnums[0]] - mjdates[expnum]
shift_file = os.path.basename(
storage.get_uri(expnum, ccd, version, '.shifts'))
error_count += 1
logging.debug("{}".format(error_count))
try:
fh = open(shift_file, 'w')
fh.write(
json.dumps(shifts,
sort_keys=True,
indent=4,
separators=(',', ': '),
cls=NpEncoder))
fh.write('\n')
fh.close()
except Exception as e:
logging.error(
"Creation of SHIFTS file failed while trying to write: {}"
.format(shifts))
raise e
error_count += 1
logging.debug("{}".format(error_count))
if not dry_run:
storage.copy(
shift_file,
storage.get_uri(expnum, ccd, version, '.shifts'))
logging.info(message)
except Exception as ex:
message = str(ex)
logging.error(message)
if not dry_run:
storage.set_status(task,
prefix,
expnum,
version,
ccd,
status=message)
def uri(self):
return storage.get_uri(self.expnum, self.ccd, ext='apcor')
def step1(expnum,
ccd,
prefix='',
version='p',
sex_thresh=_SEX_THRESHOLD,
wave_thresh=_WAVE_THRESHOLD,
maxcount=_MAX_COUNT,
dry_run=False):
"""run the actual step1jmp/matt codes.
expnum: the CFHT expousre to process
ccd: which ccd in the mosaic to process
fwhm: the image quality, FWHM, of the image. In pixels.
sex_thresh: the detection threhold to run sExtractor at
wave_thresh: the detection threshold for wavelet
maxcount: saturation level
"""
storage.get_file(expnum, ccd, prefix=prefix, version=version, ext='mopheader')
filename = storage.get_image(expnum, ccd, version=version, prefix=prefix)
fwhm = storage.get_fwhm(expnum, ccd, prefix=prefix, version=version)
basename = os.path.splitext(filename)[0]
logging.info(util.exec_prog(['step1jmp',
'-f', basename,
'-t', str(wave_thresh),
'-w', str(fwhm),
'-m', str(maxcount)]))
obj_uri = storage.get_uri(expnum, ccd, version=version, ext='obj.jmp',
prefix=prefix)
obj_filename = basename + ".obj.jmp"
if not dry_run:
storage.copy(obj_filename, obj_uri)
## for step1matt we need the weight image
hdulist = fits.open(filename)
flat_name = hdulist[0].header.get('FLAT', 'weight.fits')
parts = os.path.splitext(flat_name)
if parts[1] == '.fz':
flat_name = os.path.splitext(parts[0])[0]
else:
flat_name = parts[0]
try:
flat_filename = storage.get_image(flat_name, ccd, version='', ext='fits', subdir='calibrators')
except:
flat_filename = storage.get_image(flat_name, ccd, version='', ext='fits', subdir='old_calibrators')
if os.access('weight.fits', os.R_OK):
os.unlink('weight.fits')
if not os.access('weight.fits', os.R_OK):
os.symlink(flat_filename, 'weight.fits')
logging.info(util.exec_prog(['step1matt',
'-f', basename,
'-t', str(sex_thresh),
'-w', str(fwhm),
'-m', str(maxcount)]))
if os.access('weight.fits', os.R_OK):
os.unlink('weight.fits')
obj_uri = storage.get_uri(expnum, ccd, version=version, ext='obj.matt',
prefix=prefix)
obj_filename = basename + ".obj.matt"
if not dry_run:
storage.copy(obj_filename, obj_uri)
return True
format(field), 'r') as infile:
# it = ims.images
with open(outfile, 'w') as ofile:
ofile.write(
'Expnum RA DEC MJD_middle Exptime_sec plant_xmin_px plant_xmax_px plant_ymin_px plant_ymax_px '
'search_xmin_px search_xmax_px search_ymin_px search_ymax_px\n'.
format())
for triplet in infile.readlines():
with open(outfile, 'a') as ofile: # blank line between triplets
ofile.write('{}'.format(triplet.split()[3]))
for expnum in triplet.split()[0:3]:
# expnum, ra, dec, obs_end, mjd_middle, exptime (seconds)
header = storage.get_header(storage.get_uri(expnum))
# print header
# JM wants MJD_middle only: calculate it from the midpoint between the start and end
mjd_mid = header['MJDATE'] + (header['MJDEND'] -
header['MJDATE']) / 2.
retval = [
expnum, header['CRVAL1'], header['CRVAL2'], mjd_mid,
header['EXPTIME']
]
# now the area in which we planted TNOs for characterisation (hardwired in plant.csh's calls to kbo_gen)
# chosen to match that in header keyword DATASEC = [33:2080,1:4612] / Imaging area of the entire CCD in
# raw frame
if field == 'E' or 'O':
xmin = 66 # ya, we don't know why it got hardwired this way initially. 1.6% underplanting.
else: # spotted this by the time H and L etc were done. This was fixed for H/L to use DATASEC directly.
def combine(expnum,
ccd,
prefix=None,
file_type='p',
field=None,
measure3=MEASURE3,
dry_run=False):
if field is None:
field = str(expnum)
if prefix is not None and len(prefix) > 0:
field = "%s_%s" % (prefix, field)
field += "_%s%s" % (str(file_type), str(ccd))
logging.info("Doing combine on field {}".format(field))
for ext in ['moving.matt', 'moving.jmp']:
storage.get_file(expnum,
ccd=ccd,
version=file_type,
ext=ext,
prefix=prefix)
if prefix is not None and len(prefix) > 0:
storage.get_file('Object',
version='',
ext='planted',
subdir=str(expnum) + "/ccd%s" % (str(ccd).zfill(2)))
else:
prefix = ''
cmd_args = [
'comb-list', prefix + str(expnum) + file_type + str(ccd).zfill(2)
]
logging.info(str(cmd_args))
logging.info(util.exec_prog(cmd_args))
ext_list = ['cands.comb']
if prefix is not None and len(prefix) > 0:
ext_list.extend([
'jmp.missed', 'matt.missed', 'jmp.found', 'matt.found',
'comb.missed', 'comb.found'
])
for ext in ext_list:
uri = storage.get_uri(expnum,
ccd=ccd,
prefix=prefix,
version=file_type,
ext=ext)
filename = os.path.basename(uri)
if not os.access(filename, os.R_OK):
logging.critical("No %s file" % filename)
continue
vospace_name = "%s.%s" % (field, ext)
if not dry_run:
logging.info("%s -> %s" %
(filename, os.path.join(measure3, vospace_name)))
storage.copy(filename, os.path.join(measure3, vospace_name))
base_name = prefix + str(expnum) + file_type + str(ccd).zfill(2)
cands_file = base_name + '.cands.comb'
if not os.access(cands_file, os.R_OK):
no_cands_file = (prefix + str(expnum) + file_type + str(ccd).zfill(2) +
'.no_candidates')
open(no_cands_file, 'w').close()
if not dry_run:
vospace_name = "%s.no_candidates" % field
storage.copy(no_cands_file, os.path.join(measure3, vospace_name))
return storage.SUCCESS
# get the images we need to compute x/y ra/dec transforms
cands_file = mop_file.Parser().parse(cands_file)
for file_id in cands_file.header.file_ids:
rec_no = cands_file.header.file_ids.index(file_id)
storage.get_image(expnum=cands_file.header.keywords['EXPNUM'][rec_no],
ccd=ccd,
version=file_type,
ext='fits',
prefix=prefix)
cmd_args = [
'measure3', prefix + str(expnum) + file_type + str(ccd).zfill(2)
]
logging.info("Running measure3")
logging.info(util.exec_prog(cmd_args))
if not dry_run:
filename = base_name + ".measure3.cands.astrom"
vospace_filename = "%s.measure3.cands.astrom" % field
storage.copy(filename, os.path.join(measure3, vospace_filename))
return storage.SUCCESS
def plant(expnums,
ccd,
rmin,
rmax,
ang,
width,
number=10,
version='s',
dry_run=False):
"""Plant artificial sources into the list of images provided.
:param expnums: list of MegaPrime exposure numbers to add artificial KBOs to
:param ccd: which ccd to work on.
:param rmin: The minimum rate of motion to add sources at (''/hour)
:param rmax: The maximum rate of motion to add sources at (''/hour)
:param ang: The mean angle of motion to add sources
:param width: The +/- range of angles of motion
:param version: Add sources to the 'o', 'p' or 's' images
:param dry_run: don't push results to VOSpace.
"""
# Construct a list of artificial KBOs with positions in the image
# and rates of motion within the bounds given by the caller.
filename = storage.get_image(expnums[0], ccd=ccd, version=version)
header = fits.open(filename)[0].header
bounds = util.get_pixel_bounds_from_datasec_keyword(
header.get('DATASEC', '[33:2080,1:4612]'))
# generate a set of artifical KBOs to add to the image.
kbos = Table(names=('x', 'y', 'mag', 'sky_rate', 'angle', 'id'))
for kbo in KBOGenerator(n=number,
x=Range(bounds[0][0], bounds[0][1]),
y=Range(bounds[1][0], bounds[1][1]),
rate=Range(rmin, rmax),
angle=Range(ang - width, ang + width),
mag=Range(21.0, 25.0)):
kbos.add_row(kbo)
fd = open('Object.planted', 'w')
fd.write("# ")
kbos.write(fd, format='ascii.fixed_width', delimiter=None)
fd.close()
for expnum in expnums:
filename = storage.get_image(expnum, ccd, version)
psf = storage.get_file(expnum, ccd, version, ext='psf.fits')
plant_kbos(filename, psf, kbos, get_shifts(expnum, ccd, version), "fk")
if dry_run:
return
uri = storage.get_uri('Object',
ext='planted',
version='',
subdir=str(expnums[0]) + "/ccd%s" %
(str(ccd).zfill(2)))
storage.copy('Object.planted', uri)
for expnum in expnums:
uri = storage.get_uri(expnum,
ccd=ccd,
version=version,
ext='fits',
prefix='fk')
filename = os.path.basename(uri)
storage.copy(filename, uri)
return
def main():
"""Do the script."""
parser = argparse.ArgumentParser(description='replace image header')
parser.add_argument('--extname', help='name of extension to in header')
parser.add_argument('expnum', type=str, help='exposure to update')
parser.add_argument('-r',
'--replace',
action='store_true',
help='store modified image back to VOSpace?')
parser.add_argument('-v', '--verbose', action='store_true')
parser.add_argument('--debug', action='store_true')
parser.add_argument('--force',
action='store_true',
help="Re-run even if previous success recorded")
parser.add_argument('--dbimages',
help="VOSpace DATA storage area.",
default="vos:OSSOS/dbimages")
args = parser.parse_args()
task = util.task()
dependency = 'preproc'
prefix = ""
storage.DBIMAGES = args.dbimages
level = logging.CRITICAL
message_format = "%(message)s"
if args.verbose:
level = logging.INFO
if args.debug:
level = logging.DEBUG
message_format = "%(module)s %(funcName)s %(lineno)s %(message)s"
logging.basicConfig(level=level, format=message_format)
storage.set_logger(task, prefix, args.expnum, None, None, False)
message = storage.SUCCESS
expnum = args.expnum
exit_status = 0
try:
# skip if already succeeded and not in force mode
if storage.get_status(task, prefix, expnum, "p",
36) and not args.force:
logging.info("Already updated, skipping")
sys.exit(0)
image_hdulist = storage.get_image(args.expnum, return_file=False)
ast_hdulist = storage.get_astheader(expnum, ccd=None)
run_update_header(image_hdulist, ast_hdulist)
image_filename = os.path.basename(storage.get_uri(expnum))
image_hdulist.writeto(image_filename)
if args.replace:
dest = storage.dbimages_uri(expnum)
storage.copy(image_filename, dest)
storage.set_status('update_header', "", expnum, 'p', 36, message)
except Exception as e:
message = str(e)
if args.replace:
storage.set_status(task, prefix, expnum, 'p', 36, message)
exit_status = message
logging.error(message)
return exit_status
def step1(expnum,
ccd,
prefix='',
version='p',
fwhm=4,
sex_thresh=1.3,
wave_thresh=2.7,
maxcount=30000):
"""run the actual step1jmp/matt codes.
expnum: the CFHT expousre to process
ccd: which ccd in the mosaic to process
fwhm: the image quality, FWHM, of the image. In pixels.
sex_thresh: the detection threhold to run sExtractor at
wave_thresh: the detection threshold for wavelet
maxcount: saturation level
"""
filename = storage.get_image(expnum, ccd, version=version, prefix=prefix)
mopheader = storage.get_image(expnum,
ccd,
version=version,
ext='mopheader',
prefix=prefix)
fwhm = storage.get_fwhm(expnum, ccd, prefix=prefix, version=version)
basename = os.path.splitext(filename)[0]
outfile = util.exec_prog([
'step1jmp', '-f', basename, '-t',
str(wave_thresh), '-w',
str(fwhm), '-m',
str(maxcount)
])
obj_uri = storage.get_uri(expnum,
ccd,
version=version,
ext='obj.jmp',
prefix=prefix)
obj_filename = basename + ".obj.jmp"
storage.copy(obj_filename, obj_uri)
## for step1matt we need the weight image
flat_name = fits.open(filename)[0].header['FLAT']
flat_name = flat_name[0:-5]
flat_filename = storage.get_image(flat_name,
ccd,
version='',
ext='fits',
subdir='calibrators',
rescale=False)
if not os.access('weight.fits', os.R_OK):
os.symlink(flat_filename, 'weight.fits')
outfile = util.exec_prog([
'step1matt', '-f', basename, '-t',
str(sex_thresh), '-w',
str(fwhm), '-m',
str(maxcount)
])
obj_uri = storage.get_uri(expnum,
ccd,
version=version,
ext='obj.matt',
prefix=prefix)
obj_filename = basename + ".obj.matt"
storage.copy(obj_filename, obj_uri)
return True
def run(expnum, ccd, prefix=None, version='p', field=None,
measure3_dir=storage.MEASURE3, dry_run=False, force=False):
message = storage.SUCCESS
if storage.get_status(task, prefix, expnum, version, ccd) and not force:
logging.info(
"{} completed successfully for {} {} {} {}".format(task, prefix,
expnum, version,
ccd))
return
with storage.LoggingManager(task, prefix, expnum, ccd, version, dry_run):
try:
if not storage.get_status(dependency, prefix, expnum, version, ccd):
raise IOError(35, "Cannot start {} as {} not yet completed "
"for {}{}{}{:02d}".format(task, dependency,
prefix, expnum,
version, ccd))
if field is None:
field = str(expnum)
if prefix is not None and len(prefix) > 0:
field = "%s_%s" % (prefix, field)
field += "_%s%s" % (str(version), str(ccd))
logging.info("Doing combine on field {}".format(field))
for ext in ['moving.matt', 'moving.jmp']:
storage.get_file(expnum, ccd=ccd, version=version, ext=ext,
prefix=prefix)
# Get the list of objects planted into the field if prefix='fk'
if prefix == 'fk':
storage.get_file('Object',
version='',
ext='planted',
subdir=str(expnum) + "/ccd%s" % (
str(ccd).zfill(2)))
else:
prefix = ''
cmd_args = ['comb-list',
prefix + str(expnum) + version + str(ccd).zfill(2)]
logging.info(str(cmd_args))
logging.info(util.exec_prog(cmd_args))
# things to copy back to VOSpace, if this is an 'fk' image
# then we have missed and found files too.
ext_list = ['cands.comb']
if prefix == 'fk':
ext_list.extend(['jmp.missed', 'matt.missed',
'jmp.found', 'matt.found',
'comb.missed', 'comb.found'])
for ext in ext_list:
uri = storage.get_uri(expnum,
ccd=ccd,
prefix=prefix,
version=version,
ext=ext)
filename = os.path.basename(uri)
if not os.access(filename, os.R_OK):
logging.critical("No %s file" % filename)
continue
vospace_name = "%s.%s" % (field, ext)
if not dry_run:
logging.info("%s -> %s" % (
filename, os.path.join(measure3_dir, vospace_name)))
storage.copy(filename, os.path.join(measure3_dir, vospace_name))
base_name = prefix + str(expnum) + version + str(ccd).zfill(2)
cands_file = base_name + '.cands.comb'
if not os.access(cands_file, os.R_OK):
no_cands_file = (prefix +
str(expnum) +
version +
str(ccd).zfill(2) +
'.no_candidates')
open(no_cands_file, 'w').close()
if not dry_run:
vospace_name = "%s.no_candidates" % field
storage.copy(no_cands_file,
os.path.join(measure3_dir, vospace_name))
else:
measure3.run(base_name, storage.DBIMAGES)
if not dry_run:
filename = base_name + ".measure3.cands.astrom"
vospace_filename = "%s.measure3.cands.astrom" % field
storage.copy(filename, os.path.join(measure3_dir, vospace_filename))
except Exception as ex:
message = str(ex)
logging.error(message)
if not dry_run:
storage.set_status(task, prefix, expnum, version, ccd,
status=message)
with open('planning/triplet_and_processing_notes/{}_15B_discovery_expnums.txt'.format(field), 'r') as infile:
# it = ims.images
with open(outfile, 'w') as ofile:
ofile.write(
'Expnum RA DEC MJD_middle Exptime_sec plant_xmin_px plant_xmax_px plant_ymin_px plant_ymax_px '
'search_xmin_px search_xmax_px search_ymin_px search_ymax_px\n'.format())
for triplet in infile.readlines():
with open(outfile, 'a') as ofile: # blank line between triplets
ofile.write('{}'.format(triplet.split()[3]))
for expnum in triplet.split()[0:3]:
# expnum, ra, dec, obs_end, mjd_middle, exptime (seconds)
header = storage.get_header(storage.get_uri(expnum))
# print header
# JM wants MJD_middle only: calculate it from the midpoint between the start and end
mjd_mid = header['MJDATE'] + (header['MJDEND'] - header['MJDATE']) / 2.
retval = [expnum, header['CRVAL1'], header['CRVAL2'], mjd_mid, header['EXPTIME']]
# now the area in which we planted TNOs for characterisation (hardwired in plant.csh's calls to kbo_gen)
# chosen to match that in header keyword DATASEC = [33:2080,1:4612] / Imaging area of the entire CCD in
# raw frame
if field == 'E' or 'O':
xmin = 66 # ya, we don't know why it got hardwired this way initially. 1.6% underplanting.
else: # spotted this by the time H and L etc were done. This was fixed for H/L to use DATASEC directly.
xmin = 33
retval.append(xmin)
# xmax, ymin and ymax were all correctly taken from DATASEC
retval.append(2080)
def align(expnums, ccd, version='s', dry_run=False):
"""Create a 'shifts' file that transforms the space/flux/time scale of all images to the first image.
This function relies on the .fwhm, .trans.jmp, .phot and .zeropoint.used files for inputs.
The scaling we are computing here is for use in planting sources into the image at the same sky/flux locations
while accounting for motions of sources with time.
:param expnums: list of MegaPrime exposure numbers to add artificial KBOs to,
the first frame in the list is the reference.
:param ccd: which ccd to work on.
:param version: Add sources to the 'o', 'p' or 's' images
:param dry_run: don't push results to VOSpace.
"""
# Get the images and supporting files that we need from the VOSpace area
# get_image and get_file check if the image/file is already on disk.
# re-computed fluxes from the PSF stars and then recompute x/y/flux scaling.
# some dictionaries to hold the various scale
pos = {}
apcor = {}
mags = {}
zmag = {}
mjdates = {}
for expnum in expnums:
filename = storage.get_image(expnum, ccd=ccd, version=version)
zmag[expnum] = storage.get_zeropoint(expnum,
ccd,
prefix=None,
version=version)
mjdates[expnum] = float(fits.open(filename)[0].header.get('MJD-OBS'))
apcor[expnum] = [
float(x) for x in open(
storage.get_file(
expnum, ccd=ccd, version=version,
ext=storage.APCOR_EXT)).read().split()
]
keys = ['crval1', 'cd1_1', 'cd1_2', 'crval2', 'cd2_1', 'cd2_2']
# load the .trans.jmp values into a 'wcs' like dictionary.
# .trans.jmp maps current frame to reference frame in pixel coordinates.
# the reference frame of all the frames supplied must be the same.
shifts = dict(
zip(keys, [
float(x) for x in open(
storage.get_file(
expnum, ccd=ccd, version=version,
ext='trans.jmp')).read().split()
]))
shifts['crpix1'] = 0.0
shifts['crpix2'] = 0.0
# now create a wcs object based on those transforms, this wcs links the current frame's
# pixel coordinates to the reference frame's pixel coordinates.
w = get_wcs(shifts)
# get the PHOT file that was produced by the mkpsf routine
phot = ascii.read(storage.get_file(expnum,
ccd=ccd,
version=version,
ext='phot'),
format='daophot')
# compute the small-aperture magnitudes of the stars used in the PSF
mags[expnum] = daophot.phot(filename,
phot['XCENTER'],
phot['YCENTER'],
aperture=apcor[expnum][0],
sky=apcor[expnum][1] + 1,
swidth=apcor[expnum][0],
zmag=zmag[expnum])
# covert the x/y positions to positions in Frame 1 based on the trans.jmp values.
(x, y) = w.wcs_pix2world(mags[expnum]["XCENTER"],
mags[expnum]["YCENTER"], 1)
pos[expnum] = numpy.transpose([x, y])
# match this exposures PSF stars position against those in the first image of the set.
idx1, idx2 = util.match_lists(pos[expnums[0]], pos[expnum])
# compute the magnitdue offset between the current frame and the reference.
dmags = numpy.ma.array(mags[expnums[0]]["MAG"] - apcor[expnums[0]][2] -
(mags[expnum]["MAG"][idx1] - apcor[expnum][2]),
mask=idx1.mask)
dmags.sort()
# compute the median and determine if that shift is small compared to the scatter.
dmag = dmags[int(len(dmags) / 2.0)]
if math.fabs(dmag) > 3 * (dmags.std() + 0.01):
logging.warn(
"Magnitude shift {} between {} and {} is large: {}".format(
dmag, expnums[0], expnum, shifts[expnum]))
shifts['dmag'] = dmag
shifts['emag'] = dmags.std()
shifts['nmag'] = len(dmags.mask) - dmags.mask.sum()
shifts['dmjd'] = mjdates[expnums[0]] - mjdates[expnum]
shift_file = os.path.basename(
storage.get_uri(expnum, ccd, version, '.shifts'))
fh = open(shift_file, 'w')
fh.write(
json.dumps(shifts,
sort_keys=True,
indent=4,
separators=(',', ': ')))
fh.write('\n')
fh.close()
if not dry_run:
storage.copy(
shift_file,
os.path.basename(
storage.get_uri(expnum, ccd, version, '.shifts')))
print fwhm_file fwhm = float(storage.vospace.open(fwhm_file,view='data').read()) # now can we work with it? if fwhm is not None: iq = float(fwhm)*0.1850 # plate scale is 0.1850 arcsec/pixel header_extract['iq_ossos'] = iq else: header_extract['iq_ossos'] = fwhm # HACKED FOR NOW, WILL BE ADJUSTED LATER except Exception, e: header_extract['iq_ossos'] = None # HACKED FOR NOW, FIX LATER try: zeropt = storage.get_tag(image, 'zeropoint_22') if zeropt is None: zeropt_file = storage.get_uri(image, ccd=22, ext='zeropoint.used') # hfile+'/ccd22/'+image+'p22.zeropoint.used' # the standard chip zeropt = storage.vospace.open(zeropt_file,view='data').read() # now let's try if zeropt is not None: header_extract['zeropt'] = float(zeropt) else: header_extract['zeropt'] = zeropt # HACKED FOR NOW, WILL BE ADJUSTED LATER except Exception, e: header_extract['zeropt'] = None # HACKED: FIX LATER return header_extract def retrieve_processed_images(ims):
def uri(self):
return storage.get_uri(self.expnum, self.ccd, ext='apcor')
def run(expnum,
ccd,
prefix='',
version='p',
sex_thresh=_SEX_THRESHOLD,
wave_thresh=_WAVE_THRESHOLD,
maxcount=_MAX_COUNT,
dry_run=False,
force=True):
"""run the actual step1jmp/matt codes.
expnum: the CFHT expousre to process
ccd: which ccd in the mosaic to process
fwhm: the image quality, FWHM, of the image. In pixels.
sex_thresh: the detection threhold to run sExtractor at
wave_thresh: the detection threshold for wavelet
maxcount: saturation level
"""
message = storage.SUCCESS
if storage.get_status(task, prefix, expnum, version, ccd) and not force:
logging.info("{} completed successfully for {} {} {} {}".format(task, prefix, expnum, version, ccd))
return
with storage.LoggingManager(task, prefix, expnum, ccd, version, dry_run):
try:
if not storage.get_status(dependency, prefix, expnum, version, ccd):
raise IOError(35, "Cannot start {} as {} not yet completed for {}{}{}{:02d}".format(
task, dependency, prefix, expnum, version, ccd))
logging.info("Retrieving imaging and input parameters from VOSpace")
storage.get_file(expnum, ccd, prefix=prefix, version=version, ext='mopheader')
filename = storage.get_image(expnum, ccd, version=version, prefix=prefix)
fwhm = storage.get_fwhm(expnum, ccd, prefix=prefix, version=version)
basename = os.path.splitext(filename)[0]
_get_weight_map(filename, ccd)
logging.info("Launching step1jmp")
logging.info(util.exec_prog(['step1jmp',
'-f', basename,
'-t', str(wave_thresh),
'-w', str(fwhm),
'-m', str(maxcount)]))
logging.info(util.exec_prog(['step1matt',
'-f', basename,
'-t', str(sex_thresh),
'-w', str(fwhm),
'-m', str(maxcount)]))
if os.access('weight.fits', os.R_OK):
os.unlink('weight.fits')
if not dry_run:
for ext in ['obj.jmp', 'obj.matt']:
obj_uri = storage.get_uri(expnum, ccd, version=version, ext=ext,
prefix=prefix)
obj_filename = basename + "." + ext
count = 0
with open(obj_filename, 'r'):
while True:
try:
count += 1
logging.info("Attempt {} to copy {} -> {}".format(count, obj_filename, obj_uri))
storage.copy(obj_filename, obj_uri)
break
except Exception as ex:
if count > 10:
raise ex
logging.info(message)
except Exception as ex:
message = str(ex)
logging.error(message)
if not dry_run:
storage.set_status(task, prefix, expnum, version, ccd, status=message)
def run(expnums,
ccd,
version,
rate_min,
rate_max,
angle,
width,
field=None,
prefix=None,
dry_run=False,
force=False):
"""run the actual step2 on the given exp/ccd combo"""
jmp_args = ['step3jmp']
matt_args = ['step3matt']
if storage.get_status(task, prefix, expnums[0], version=version,
ccd=ccd) and not force:
logging.info("{} completed successfully for {}{}{}{:02d}".format(
task, prefix, expnums[0], version, ccd))
return
with storage.LoggingManager(task, prefix, expnums[0], ccd, version,
dry_run):
try:
if not storage.get_status(
dependency, prefix, expnums[0], version=version, ccd=ccd):
raise IOError(
35, "Cannot start {} as {} not yet completed {}{}{}{:02d}".
format(task, dependency, prefix, expnums[0], version, ccd))
# Default message is success, message gets overwritten with failure messages.
message = storage.SUCCESS
idx = 0
cmd_args = []
for expnum in expnums:
idx += 1
for ext in ['unid.jmp', 'unid.matt', 'trans.jmp']:
storage.get_file(expnum,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)
image = os.path.splitext(
os.path.basename(
storage.get_uri(expnum,
ccd,
version=version,
prefix=prefix)))[0]
cmd_args.append('-f%d' % idx)
cmd_args.append(image)
cmd_args.extend([
'-rn',
str(rate_min), '-rx',
str(rate_max), '-a',
str(angle), '-w',
str(width)
])
jmp_args.extend(cmd_args)
matt_args.extend(cmd_args)
logging.info(util.exec_prog(jmp_args))
logging.info(util.exec_prog(matt_args))
if dry_run:
return
if field is None:
field = str(expnums[0])
# Make sure a dbimages destination exists for this file.
storage.mkdir(
os.path.dirname(
storage.get_uri(field,
ccd=ccd,
version=version,
prefix=prefix)))
for ext in ['moving.jmp', 'moving.matt']:
uri = storage.get_uri(field,
ccd=ccd,
version=version,
ext=ext,
prefix=prefix)
filename = '%s%d%s%s.%s' % (prefix, expnums[0], version,
str(ccd).zfill(2), ext)
storage.copy(filename, uri)
except Exception as ex:
message = str(ex)
logging.error(message)
storage.set_status(task,
prefix,
expnums[0],
version=version,
ccd=ccd,
status=message)
return
def main():
"""Do the script."""
parser = argparse.ArgumentParser(
description='replace image header')
parser.add_argument('--extname',
help='name of extension to in header')
parser.add_argument('expnum', type=str,
help='exposure to update')
parser.add_argument('-r', '--replace',
action='store_true',
help='store modified image back to VOSpace?')
parser.add_argument('-v', '--verbose', action='store_true')
parser.add_argument('--debug', action='store_true')
parser.add_argument('--force', action='store_true', help="Re-run even if previous success recorded")
parser.add_argument('--dbimages', help="VOSpace DATA storage area.", default="vos:OSSOS/dbimages")
args = parser.parse_args()
task = util.task()
dependency = 'preproc'
prefix = ""
storage.DBIMAGES = args.dbimages
level = logging.CRITICAL
message_format = "%(message)s"
if args.verbose:
level = logging.INFO
if args.debug:
level = logging.DEBUG
message_format = "%(module)s %(funcName)s %(lineno)s %(message)s"
logging.basicConfig(level=level, format=message_format)
storage.set_logger(task, prefix, args.expnum, None, None, False)
message = storage.SUCCESS
expnum = args.expnum
exit_status = 0
try:
# skip if already succeeded and not in force mode
if storage.get_status(task, prefix, expnum, "p", 36) and not args.force:
logging.info("Already updated, skipping")
sys.exit(0)
image_hdulist = storage.get_image(args.expnum, return_file=False)
ast_hdulist = storage.get_astheader(expnum, ccd=None)
run_update_header(image_hdulist, ast_hdulist)
image_filename = os.path.basename(storage.get_uri(expnum))
image_hdulist.writeto(image_filename)
if args.replace:
dest = storage.dbimages_uri(expnum)
storage.copy(image_filename, dest)
storage.set_status('update_header', "", expnum, 'p', 36, message)
except Exception as e:
message = str(e)
if args.replace:
storage.set_status(task, prefix, expnum, 'p', 36, message)
exit_status = message
logging.error(message)
return exit_status
def combine(expnum, ccd, prefix=None, type='p'):
for ext in ['moving.matt', 'moving.jmp']:
fname = storage.get_image(expnum,
ccd=ccd,
prefix=prefix,
version=type,
ext=ext)
if prefix is not None and len(prefix) > 0:
planted = storage.get_image('Object',
subdir=str(expnum) + "/ccd%s" %
(str(ccd).zfill(2)),
version='',
ext='planted')
else:
prefix = ''
base_image = os.path.basename(
storage.get_uri(expnum, ccd=ccd, prefix=prefix, version=type,
ext=None))
cmd_args = ['comb-list', prefix + str(expnum) + type + str(ccd).zfill(2)]
util.exec_prog(cmd_args)
for ext in [
'cands.comb', 'comb.found', 'comb.missed', 'jmp.found',
'jmp.missed', 'matt.found', 'matt.missed'
]:
uri = storage.get_uri(expnum,
ccd=ccd,
prefix=prefix,
version=type,
ext=ext)
filename = os.path.basename(uri)
if not os.access(filename, os.R_OK):
logging.critical("No %s file" % (filename))
continue
storage.copy(filename, uri)
base_name = prefix + str(expnum) + type + str(ccd).zfill(2)
cands_file = base_name + '.cands.comb'
if not os.access(cands_file, os.R_OK):
nocands_file = (prefix + str(expnum) + type + str(ccd).zfill(2) +
'.no_candidates')
open(nocands_file, 'w').close()
storage.copy(nocands_file, 'vos:OSSOS/measure3/' + nocands_file)
return storage.SUCCESS
cands_file = mop_file.Parser().parse(cands_file)
for file_id in cands_file.header.file_ids:
rec_no = cands_file.header.file_ids.index(file_id)
storage.get_image(expnum=cands_file.header.keywords['EXPNUM'][rec_no],
ccd=ccd,
version=type,
prefix=prefix,
ext='fits')
cmd_args = ['measure3', prefix + str(expnum) + type + str(ccd).zfill(2)]
util.exec_prog(cmd_args)
filename = base_name + ".measure3.cands.astrom"
storage.copy(filename, 'vos:OSSOS/measure3/' + filename)
return storage.SUCCESS
def scramble(expnums, ccd, version='p', dry_run=False, force=False, prefix=''):
"""
run the plant script on this combination of exposures
@param expnums: list of exposure numbers to scramble the time on
@param ccd: which CCD in (assumes this is a CFHT MegaCam MEF)
@param version: should we scramble the 'p' or 'o' images?
@param dry_run: if dry run then don't save back to VOSpace.
@param force: if true then create scramble set, even if already exists.
@param prefix: a string that will be pre-pended to the EXPNUM to get the filename, sometimes 'fk'.
@return: None
"""
# Get a list of the MJD values and then write a re-ordering of those into files with 's'
# as their type instead of 'p' or 'o'
mjds = []
fobjs = []
message = storage.SUCCESS
if not (force or dry_run) and storage.get_status(
task, prefix, expnums[0], version='s', ccd=ccd):
logging.info("{} recorded as complete for {} ccd {}".format(
task, expnums, ccd))
return
with storage.LoggingManager(task, prefix, expnums[0], ccd, version):
try:
for expnum in expnums:
filename = storage.get_image(expnum, ccd=ccd, version=version)
fobjs.append(fits.open(filename))
# Pull out values to replace in headers.. must pull them
# as otherwise we get pointers...
mjds.append(fobjs[-1][0].header['MJD-OBS'])
order = [0, 2, 1]
for idx in range(len(fobjs)):
logging.info(
"Flipping %d to %d" %
(fobjs[idx][0].header['EXPNUM'], expnums[order[idx]]))
fobjs[idx][0].header['EXPNUM'] = expnums[order[idx]]
fobjs[idx][0].header['MJD-OBS'] = mjds[order[idx]]
uri = storage.get_uri(expnums[order[idx]],
ccd=ccd,
version='s',
ext='fits')
scramble_file_name = os.path.basename(uri)
if os.access(scramble_file_name, os.F_OK):
os.unlink(scramble_file_name)
fobjs[idx].writeto(scramble_file_name)
if not dry_run:
storage.copy(scramble_file_name, uri)
logging.info(message)
except Exception as ex:
message = str(ex)
logging.error(message)
if not dry_run:
storage.set_status(task,
prefix,
expnum,
version,
ccd,
status=message)
return
