def do_overscan_subtract(self, get_or_create_tmpdir, request):
"""
Run overscan correction on the main data.
.. note::
Fixture.
"""
# Copy the raw data file into here
rawfilename = 'bias*{}*.fits'.format(request.param)
tmpsubdir, cal_service = get_or_create_tmpdir
# Make sure we're working inside the temp dir
# rawfiles = glob.glob(os.path.join(
# os.path.dirname(os.path.abspath(__file__)),
# 'testdata',
# rawfilename))
# shutil.copy(
# rawfiles[0],
# os.path.join(tmpsubdir.dirname, tmpsubdir.basename))
rawfile = glob.glob(
os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
rawfilename))[0]
# Do the overscan subtraction
reduce = Reduce()
reduce.drpkg = 'ghostdr'
reduce.files = [
rawfile,
]
reduce.mode = [
'test',
]
reduce.recipename = 'recipeBiasRemoveOverscan'
reduce.logfile = os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
'reduce_overscancorrect.log')
reduce.logmode = 'quiet'
reduce.suffix = '_testOverscanCorrect'
logutils.config(file_name=reduce.logfile, mode=reduce.logmode)
reduce.runr()
corrfilename = os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
'*' + reduce.suffix + '.fits')
corrfilename = glob.glob(corrfilename)[0]
corrfile = os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
corrfilename)
# Return filenames of raw, subtracted files
yield rawfile, corrfile
# Execute teardown code
for _ in glob.glob(
os.path.join(os.getcwd(), '*{}.fits'.format(reduce.suffix))):
os.remove(_)
def do_master_bias(self, get_or_create_tmpdir, request):
"""
Perform bias subtraction on the main data.
.. note::
Fixture.
"""
rawfilename = 'bias*{}*.fits'.format(request.param)
# Copy the raw data file into here
tmpsubdir, cal_service = get_or_create_tmpdir
# Find all the relevant files
# rawfiles = glob.glob(os.path.join(os.path.dirname(
# os.path.abspath(__file__)),
# 'testdata',
# rawfilename))
# for f in rawfiles:
# shutil.copy(f, os.path.join(tmpsubdir.dirname, tmpsubdir.basename))
rawfiles = glob.glob(
os.path.join(tmpsubdir.dirname, tmpsubdir.basename, rawfilename))
# Do the master bias generation
reduce = Reduce()
reduce.drpkg = 'ghostdr'
reduce.files = rawfiles
reduce.mode = [
'test',
]
reduce.recipename = 'recipeBiasCreateMaster'
reduce.upars = [
'refresh=True',
]
# reduce.mode = ['sq', ]
# reduce.recipename = 'makeProcessedBias'
reduce.logfile = os.path.join(
tmpsubdir.dirname, tmpsubdir.basename,
'reduce_masterbias_{}.log'.format(request.param))
reduce.logmode = 'quiet'
reduce.suffix = '_{}_testMasterBias'.format(request.param)
logutils.config(file_name=reduce.logfile, mode=reduce.logmode)
reduce.runr()
# import pdb; pdb.set_trace()
corrfilename = '*' + reduce.suffix + '.fits'
corrfilename = os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
glob.glob(corrfilename)[0])
corrfile = os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
corrfilename)
# Find the overscan-corrected bias files
rawfiles = glob.glob(
os.path.join(
tmpsubdir.dirname,
tmpsubdir.basename,
rawfilename.split('.')[0] + '*_overscanCorrect*.fits',
))
# Return filenames of raw, subtracted files
yield rawfiles, corrfile
# Execute teardown code
pass
def do_bias_subtract(self, get_or_create_tmpdir, request):
"""
Perform basic bias subtraction on the dark frame.
.. note::
Fixture.
"""
rawfilename = 'dark*{}*.fits'.format(request.param)
# Copy the raw data file into here
tmpsubdir, cal_service = get_or_create_tmpdir
# Find all the relevant files
# rawfiles = glob.glob(os.path.join(os.path.dirname(
# os.path.abspath(__file__)),
# 'testdata',
# rawfilename))
# for f in rawfiles:
# shutil.copy(f, os.path.join(tmpsubdir.dirname, tmpsubdir.basename))
rawfiles = glob.glob(
os.path.join(tmpsubdir.dirname, tmpsubdir.basename, rawfilename))
# Do the master bias generation
reduce = Reduce()
reduce.drpkg = 'ghostdr'
reduce.files = rawfiles[0]
reduce.mode = [
'test',
]
reduce.recipename = 'recipeDarkBiasCorrect'
# reduce.mode = ['sq', ]
# reduce.recipename = 'makeProcessedBias'
reduce.logfile = os.path.join(
tmpsubdir.dirname, tmpsubdir.basename,
'reduce_biascorrect_{}.log'.format(request.param))
reduce.logmode = 'quiet'
reduce.suffix = '_{}_testBiasCorrect'.format(request.param)
logutils.config(file_name=reduce.logfile, mode=reduce.logmode)
# import pdb; pdb.set_trace()
calibs = {
'processed_bias':
glob.glob(
os.path.join('calibrations', 'processed_bias',
'bias*{}*.fits'.format(request.param)))[0],
}
reduce.ucals = normalize_ucals(
reduce.files, ['{}:{}'.format(k, v) for k, v in calibs.items()])
# import pdb;
# pdb.set_trace()
reduce.runr()
corrfilename = '*' + reduce.suffix + '.fits'
corrfilename = os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
glob.glob(corrfilename)[0])
corrfile = os.path.join(tmpsubdir.dirname, tmpsubdir.basename,
corrfilename)
# Return filenames of raw, subtracted files
yield rawfiles, corrfile, calibs
# Execute teardown code
for _ in glob.glob(
os.path.join(os.getcwd(), '*{}.fits'.format(reduce.suffix))):
os.remove(_)