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import pyfits
try:
import stwcs
from stwcs import wcsutil
except:
stwcs = None
from pytools import fileutil
OPUS_WCSKEYS = ['OCRVAL1','OCRVAL2','OCRPIX1','OCRPIX2',
'OCD1_1','OCD1_2','OCD2_1','OCD2_2',
'OCTYPE1','OCTYPE2']
def archive_prefix_OPUS_WCS(fobj,extname='SCI'):
""" Identifies WCS keywords which were generated by OPUS and archived
using a prefix of 'O' for all 'SCI' extensions in the file
Parameters
----------
fobj: string or pyfits.HDUList
Filename or pyfits object of a file
"""
if stwcs is None:
print '====================='
print 'The STWCS package is needed to convert an old-style OPUS WCS to an alternate WCS'
print '====================='
raise ImportError
closefits = False
if isinstance(fobj,str):
# A filename was provided as input
fobj = pyfits.open(fobj,mode='update')
closefits=True
# Define the header
ext = ('sci',1)
hdr = fobj[ext].header
numextn = fileutil.countExtn(fobj)
extlist = []
for e in xrange(1,numextn+1):
extlist.append(('sci',e))
# Insure that the 'O' alternate WCS is present
if 'O' not in wcsutil.wcskeys(hdr):
# if not, archive the Primary WCS as the default OPUS WCS
wcsutil.archiveWCS(fobj,extlist, wcskey='O', wcsname='OPUS')
# find out how many SCI extensions are in the image
numextn = fileutil.countExtn(fobj,extname=extname)
if numextn == 0:
extname = 'PRIMARY'
# create HSTWCS object from PRIMARY WCS
wcsobj = wcsutil.HSTWCS(fobj,ext=ext,wcskey='O')
# get list of WCS keywords
wcskeys = wcsobj.wcs2header().keys()
# For each SCI extension...
for e in xrange(1,numextn+1):
# Now, look for any WCS keywords with a prefix of 'O'
for key in wcskeys:
okey = 'O'+key[:7]
hdr = fobj[(extname,e)].header
if hdr.has_key(okey):
# Update alternate WCS keyword with prefix-O OPUS keyword value
hdr[key] = hdr[okey]
if closefits:
fobj.close()
def create_prefix_OPUS_WCS(fobj,extname='SCI'):
""" Creates alternate WCS with a prefix of 'O' for OPUS generated WCS values
to work with old MultiDrizzle.
Parameters
----------
fobj: string or pyfits.HDUList
Filename or pyfits object of a file
Raises
------
IOError:
if input PyFITS object was not opened in 'update' mode
"""
# List of O-prefix keywords to create
owcskeys = OPUS_WCSKEYS
closefits = False
if isinstance(fobj,str):
# A filename was provided as input
fobj = pyfits.open(fobj,mode='update')
closefits=True
else:
# check to make sure this FITS obj has been opened in update mode
if fobj.fileinfo(0)['filemode'] != 'update':
print 'File not opened with "mode=update". Quitting...'
raise IOError
# check for existance of O-prefix WCS
if not fobj['sci',1].header.has_key(owcskeys[0]):
# find out how many SCI extensions are in the image
numextn = fileutil.countExtn(fobj,extname=extname)
if numextn == 0:
extname = ''
for extn in xrange(1,numextn+1):
hdr = fobj[(extname,extn)].header
for okey in owcskeys:
hdr.update(okey,hdr[okey[1:]+'O'])
# Close FITS image if we had to open it...
if closefits:
fobj.close()
|
