def create_reference_file(input_dir, input_flist):
'''
This function will point Justin's refstis scripts to a folder containing darks or biases
and have it create a superdark or super bias. The script will automatically try to create darks
and biases for with all files in a directory. Biases and darks should be kept in separate
folders. This script automatically divided observations into individual weeks
'''
date = []
for ifile in input_flist:
date.append(
pyfits.getval(os.path.join(input_dir, ifile), 'texpstrt', 0))
date.append(pyfits.getval(os.path.join(input_dir, ifile), 'texpend',
0))
filetype = pyfits.getval(os.path.join(input_dir, ifile), 'targname', 0)
date = np.array(date)
month_begin = np.min(date)
month_end = np.max(date)
if filetype == 'DARK':
REFSTIS_wrapper.separate_obs(input_dir,
month_begin,
month_end,
input_filetype='flc',
move_files=False)
else:
REFSTIS_wrapper.separate_obs(input_dir,
month_begin,
month_end,
move_files=False)
make_reffiles(input_dir, filetype)
#Copy reference file from each week folder to the reffiles folder
os.path.walk(input_dir, copy_reference_files_to_reffiles, '')
def make_reffiles(root_folder, filetype):
""" Make all refrence files for a given folder
This functions is very specific to the REFSTIS pipeline, and requires files
and folders to have certain naming conventions.
"""
print '#-----------------------------#'
print '# Making all ref files for #'
print root_folder
print '#-----------------------------#'
if not os.path.exists(root_folder):
raise IOError('Root folder: %s does not exist' % (root_folder))
gain_folders, week_folders = REFSTIS_wrapper.pull_out_subfolders(
root_folder)
if filetype.upper() == 'BIAS':
REFSTIS_wrapper.refbias(week_folders)
#Basebias is not currently supported
#REFSTIS_wrapper.basebias(root_folder, gain_folders)
elif filetype.upper() == 'DARK':
REFSTIS_wrapper.basedark(root_folder,
input_filetype='flc',
set_biasfile=False)
REFSTIS_wrapper.weekdark(week_folders,
input_filetype='flc',
set_biasfile=False)
else:
sys.exit('ERROR: File type not recognized')
def create_reference_file(input_dir, input_flist):
'''
This function will point Justin's refstis scripts to a folder containing darks or biases
and have it create a superdark or super bias. The script will automatically try to create darks
and biases for with all files in a directory. Biases and darks should be kept in separate
folders. This script automatically divided observations into individual weeks
'''
date = []
for ifile in input_flist:
date.append(pyfits.getval(os.path.join(input_dir, ifile), 'texpstrt', 0))
date.append(pyfits.getval(os.path.join(input_dir, ifile),'texpend', 0))
filetype = pyfits.getval(os.path.join(input_dir, ifile), 'targname', 0)
date = np.array(date)
month_begin = np.min(date)
month_end = np.max(date)
if filetype == 'DARK':
REFSTIS_wrapper.separate_obs(input_dir, month_begin, month_end, input_filetype = 'flc', move_files = False)
else:
REFSTIS_wrapper.separate_obs(input_dir, month_begin, month_end, move_files = False)
make_reffiles(input_dir, filetype)
#Copy reference file from each week folder to the reffiles folder
os.path.walk(input_dir, copy_reference_files_to_reffiles, '')
def make_reffiles(root_folder, filetype):
""" Make all refrence files for a given folder
This functions is very specific to the REFSTIS pipeline, and requires files
and folders to have certain naming conventions.
"""
print '#-----------------------------#'
print '# Making all ref files for #'
print root_folder
print '#-----------------------------#'
if not os.path.exists( root_folder ): raise IOError( 'Root folder: %s does not exist' %(root_folder))
gain_folders, week_folders = REFSTIS_wrapper.pull_out_subfolders( root_folder )
if filetype.upper() == 'BIAS':
REFSTIS_wrapper.refbias(week_folders)
#Basebias is not currently supported
#REFSTIS_wrapper.basebias(root_folder, gain_folders)
elif filetype.upper() == 'DARK':
REFSTIS_wrapper.basedark(root_folder, input_filetype = 'flc', set_biasfile = False)
REFSTIS_wrapper.weekdark(week_folders, input_filetype = 'flc', set_biasfile = False)
else:
sys.exit('ERROR: File type not recognized')
