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(_)