"""
Script to run to a single calibration step for an input frame
.. include common links, assuming primary doc root is up one directory
.. include:: ../include/links.rst
"""
from pypeit.scripts import scriptbase
[docs]
class RunToCalibStep(scriptbase.ScriptBase):
valid_steps = ['align', 'arc', 'bias', 'bpm', 'dark', 'flats', 'scattlight',
'slits', 'tiltimg', 'tilts', 'wv_calib']
[docs]
@classmethod
def get_parser(cls, width=None):
parser = super().get_parser(description='Run PypeIt to a single calibration step for an input frame',
width=width, formatter=scriptbase.SmartFormatter)
parser.add_argument('pypeit_file', type=str,
help='PypeIt reduction file (must have .pypeit extension)')
parser.add_argument('step', type=str, help=f"Calibration step to perform. Valid steps are: {', '.join(cls.valid_steps)}")
parser.add_argument('--science_frame', type=str, help='Raw science frame to reduce as listed in your PypeIt file, e.g. b28.fits.gz. Either this or the calib_group must be provided')
parser.add_argument('--calib_group', type=str, help='Calibration group ID to reduce. Either this or the frame must be provided')
parser.add_argument('--det', type=str, help='Detector to reduce')
# TODO -- Grab these from run_pypeit.py ?
parser.add_argument('-r', '--redux_path', default=None,
help='Path to directory for the reduction. Only advised for testing')
parser.add_argument('-s', '--show', default=False, action='store_true',
help='Show reduction steps via plots (which will block further '
'execution until clicked on) and outputs to ginga. Requires '
'remote control ginga session via '
'"ginga --modules=RC,SlitWavelength &"')
return parser
[docs]
@classmethod
def main(cls, args):
import numpy as np
from IPython import embed
from pathlib import Path
from pypeit import pypeit
from pypeit import pypeit_steps
from pypeit import log
from pypeit import PypeItError
from pypeit.core import parse
# Set a default log file based on the name of the pypeit file, not the
# name of the script
if args.log_file == 'default':
_pypeit_file = Path(args.pypeit_file)
if _pypeit_file.suffix != '.pypeit':
raise PypeItError('Input file must have a .pypeit extension!')
args.log_file = _pypeit_file.with_suffix('.log')
# Initialize the log
cls.init_log(args)
# Check for the frame or calib_group
if args.science_frame is None and args.calib_group is None:
raise PypeItError('Must provide either a science frame or a calibration group ID')
elif args.science_frame is not None and args.calib_group is not None:
log.warning("Both science_frame and calib_group ID provided. Will use the science_frame")
# Instantiate the main pipeline reduction object
pypeIt = pypeit.PypeIt(
args.pypeit_file, redux_path=args.redux_path, show=args.show, calib_only=True
)
pypeIt.reuse_calibs = True
# Find the detectors to reduce
if args.det is None:
dets = pypeIt.par['rdx']['detnum']
else:
dets = parse.eval_detectors(args.det)
# NOTE: dets *can be* None
detectors = pypeIt.spectrograph.select_detectors(dets if pypeIt.par['rdx']['slitspatnum'] is None else dets)
# Find the row of the frame
if args.science_frame is not None:
row = np.where(pypeIt.fitstbl['filename'] == args.science_frame)[0]
if len(row) != 1:
raise PypeItError(f"Frame {args.science_frame} not found or not unique")
elif args.calib_group is not None:
rows = np.where((pypeIt.fitstbl['calib'].data.astype(str) == args.calib_group))[0]
if len(rows) == 0:
raise PypeItError(f"Calibration group {args.calib_group} not found")
row = rows[0]
row = int(row[0])
calib_id = pypeIt.fitstbl.find_frame_calib_groups(row)[0]
# Calibrations?
for det in detectors:
pypeit_steps.calib_one(pypeIt.spectrograph, pypeIt.fitstbl, pypeIt.par, det, calib_id, pypeIt.calibrations_path, stop_at_step=args.step)
# QA HTML
log.info('Generating QA HTML')
pypeIt.build_qa()
return 0