def from_fits_file(cls, fname, session):
"""
generate a
"""
data_file_object = DataFile.from_file(fname)
fits_object = TemporaryFITSFile()
fits_object.data_file = data_file_object
session.add(fits_object)
session.commit()
niri_raw_image = cls()
niri_raw_image.fits = fits_object
niri_raw_image.object = base.Object.from_fits_object(fits_object)
niri_raw_image.program = base.Program.from_fits_object(fits_object)
niri_raw_image.observation_block = base.ObservationBlock.from_fits_object(fits_object)
niri_raw_image.observation_class = base.ObservationClass.from_fits_object(fits_object)
niri_raw_image.observation_type = base.ObservationType.from_fits_object(fits_object)
niri_raw_image.instrument = base.Instrument.from_fits_object(fits_object)
date_obs_str = '{0}T{1}'.format(fits_object.header['date-obs'],
fits_object.header['time-obs'])
niri_raw_image.mjd = time.Time(date_obs_str, scale='utc').mjd
session.add(niri_raw_image)
session.commit()
return niri_raw_image
def from_fits_file(cls, fname, session):
"""
generate a
"""
data_file_object = DataFile.from_file(fname)
fits_object = TemporaryFITSFile()
fits_object.data_file = data_file_object
session.add(fits_object)
session.commit()
gmos_raw_image = cls()
gmos_raw_image.fits = fits_object
gmos_raw_image.object = Object.from_fits_object(fits_object)
gmos_raw_image.program = Program.from_fits_object(fits_object)
gmos_raw_image.observation_block = ObservationBlock.from_fits_object(fits_object)
gmos_raw_image.observation_class = ObservationClass.from_fits_object(fits_object)
gmos_raw_image.observation_type = ObservationType.from_fits_object(fits_object)
gmos_raw_image.instrument = Instrument.from_fits_object(fits_object)
gmos_raw_image.instrument_setup = GMOSImagingInstrumentSetup.from_fits_file(fname, session)
date_obs_str = '{0}T{1}'.format(fits_object.header['date-obs'],
fits_object.header['time-obs'])
gmos_raw_image.mjd = time.Time(date_obs_str, scale='utc').mjd
session.add(gmos_raw_image)
session.commit()
return gmos_raw_image
