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194 | class TakeExpMeterBiases(KPFFunction):
'''Take a set of bias frames for the exposure meter.
Obeys kpfconfig.ALLOWSCHEDULEDCALS (will not run if that is set to No)
Args:
nExp (int): The number of frames to take.
combine (bool): Combine the files in to a master bias?
output (str): The output combined bias file.
update (bool): Update the bias file in use with the newly generated
file? (only used if combine is True).
KTL Keywords Used:
- `kpfconfig.EXPMETER_ENABLED`
- `kpfconfig.ALLOWSCHEDULEDCALS`
- `kpf_expmeter.COOLING`
- `kpf_expmeter.COOLTARG`
- `kpf_expmeter.COOLTEMP`
- `kpf_expmeter.BINX`
- `kpf_expmeter.BINY`
- `kpf_expmeter.TOP`
- `kpf_expmeter.LEFT`
- `kpf_expmeter.WIDTH`
- `kpf_expmeter.HEIGHT`
- `kpf_expmeter.EXPOSURE`
- `kpf_expmeter.OBJECT`
- `kpf_expmeter.OBSERVER`
- `kpf_expmeter.EXPMODE`
- `kpf_expmeter.EXPSTATE`
- `kpf_expmeter.EXPOSE`
- `kpf_expmeter.SEQNUM`
- `kpf_expmeter.FITSFILE`
- `kpfexpose.TRIG_TARG`
Functions Called:
- `kpf.calbench.SetCalSource`
- `kpf.calbench.WaitForCalSource`
- `kpf.spectrograph.WaitForReady`
- `kpf.spectrograph.SetSourceSelectShutters`
- `kpf.expmeter.BuildMasterBias`
- `kpf.spectrograph.ResetDetectors.ResetExpMeterDetector`
'''
@classmethod
@obey_scriptrun
def pre_condition(cls, args):
check_input(args, 'nExp', allowed_types=[int])
kpf_expmeter = ktl.cache('kpf_expmeter')
# Check exposure meter enabled
kpfconfig = ktl.cache('kpfconfig')
EM_enabled = kpfconfig['EXPMETER_ENABLED'].read() == 'Yes'
if EM_enabled == False:
raise FailedPreCondition('Exposure meter is not enabled')
# Check on exposure meter detector status
if kpf_expmeter['COOLING'].read(binary=True) != True:
raise FailedPreCondition('Exposure meter cooling is not On')
cooltarg = kpf_expmeter['COOLTARG'].read(binary=True)
currtemp = kpf_expmeter['CURRTEMP'].read(binary=True)
deltaT = abs(currtemp-cooltarg)
deltaT_threshold = cfg.getfloat('tolerances',
'expmeter_detector_temperature_tolerance',
fallback=0.5)
if deltaT > deltaT_threshold:
raise FailedPreCondition('Exposure meter not near target temperature')
@classmethod
@register_script(Path(__file__).name, os.getpid())
@add_script_log(Path(__file__).name.replace(".py", ""))
def perform(cls, args):
# Check if we're ok to take data
allowscheduledcals = ktl.cache('kpfconfig', 'ALLOWSCHEDULEDCALS')
if allowscheduledcals.read(binary=True) == False:
log.warning(f'kpfconfig.ALLOWSCHEDULEDCALS=No. Not taking biases.')
return []
# Proceed with taking biases
nExp = int(args.get('nExp'))
log.info(f"Taking {nExp} exposure meter bias frames")
kpf_expmeter = ktl.cache('kpf_expmeter')
# Set exposure meter to full frame to take biases
log.info(f"Setting exposure meter to full frame for biases")
kpf_expmeter['BINX'].write(1)
kpf_expmeter['BINY'].write(1)
kpf_expmeter['TOP'].write(0)
kpf_expmeter['LEFT'].write(0)
kpf_expmeter['WIDTH'].write(1072)
kpf_expmeter['HEIGHT'].write(1024)
kpf_expmeter['EXPOSURE'].write(0.12)
kpf_expmeter['OBJECT'].write('bias')
kpf_expmeter['OBSERVER'].write('TakeExpMeterBiases')
kpf_expmeter['EXPMODE'].write('Continuous')
log.debug('Set Octagon to Home and close all source select shutters')
SetCalSource.execute({'CalSource': 'Home'})
WaitForReady.execute({})
SetSourceSelectShutters.execute({})
WaitForCalSource.execute({'CalSource': 'Home'})
# Set TRIG_TARG to None, so that kpfassemble doesn't try
# to pick up this data set
trig_targ = ktl.cache('kpfexpose', 'TRIG_TARG')
trig_targ.write('None')
ready = kpf_expmeter['EXPSTATE'].waitFor("== 'Ready'", timeout=60)
if ready is not True:
raise KPFException(f"Exposure Meter did not reach ready state")
# Start continuous exposures
log.info(f"Starting continuous exposures")
kpf_expmeter['EXPOSE'].write('Start')
started = kpf_expmeter['EXPSTATE'].waitFor("!= 'Ready'", timeout=5)
if started is not True:
raise KPFException(f"Exposure Meter did not start exposures")
got_frames = kpf_expmeter['SEQNUM'].waitFor(f"== {nExp}", timeout=2*nExp)
if got_frames is not True:
raise KPFException(f"Exposure Meter did not get all exposures")
log.info(f"Stopping continuous exposures")
kpf_expmeter['EXPOSE'].write('End')
# Arbitrary wait to let file writing and DRP finish
time.sleep(2)
# Get FITSFILE
lastfile = Path(kpf_expmeter['FITSFILE'].read())
if lastfile.exists() is False:
raise KPFException(f"Could not find file: {lastfile}")
filename_parts = lastfile.name.split('.')
filename_parts[1] = '*'
biases = [f for f in lastfile.parent.glob('.'.join(filename_parts))]
# Set exposure meter back to operations settings
log.info(f"Setting exposure meter to operational windowing")
kpf_expmeter['BINX'].write(1)
kpf_expmeter['BINY'].write(1)
kpf_expmeter['TOP'].write(0)
kpf_expmeter['LEFT'].write(1)
kpf_expmeter['WIDTH'].write(651)
kpf_expmeter['HEIGHT'].write(300)
kpf_expmeter['OBJECT'].write('')
if args.get('combine', False) is True:
BuildMasterBias.execute({'files': biases,
'output': args.get('output'),
'update': args.get('update')})
return biases
@classmethod
def post_condition(cls, args):
expstate = ktl.cache('kpf_expmeter', 'EXPSTATE')
expstate.monitor()
timeout = 60
ready = expstate.waitFor("== 'Ready'", timeout=timeout)
if ready is not True:
log.error(f'ExpMeter is not Ready after {timeout} s')
log.warning(f'ExpMeter is {expstate.ascii}. Resetting.')
ResetExpMeterDetector.execute({})
@classmethod
def add_cmdline_args(cls, parser):
parser.add_argument('nExp', type=int,
help="The number of frames to take")
parser.add_argument("-c", "--combine", dest="combine",
default=False, action="store_true",
help="Combine the files in to a master bias?")
parser.add_argument("--update", dest="update",
default=False, action="store_true",
help="Update the bias file in use with the newly generated file? (only used if --combine is used)")
parser.add_argument("--output", dest="output", type=str,
default='',
help="The output combined bias file.")
return super().add_cmdline_args(parser)
|