def test_airmass(ztf_camera, star, iers_data):
star_obj = star_dict[star]['target']
star_obj = Obj(ra=star_obj.ra.deg, dec=star_obj.dec.deg)
telescope = ztf_camera.telescope
airmass_calc = star_obj.airmass(telescope, night_times)
# departure from plane-parallel becomes significant
airmass_islarge = airmass_calc > 5
# we use a somewhat large tolerance as brian casey's answers are calculated
# using secz whereas ours are pickering (2002)
np.testing.assert_allclose(
airmass_calc[~airmass_islarge],
star_dict[star]['airmass'][~airmass_islarge],
rtol=5e-2,
atol=0.02,
)
np.testing.assert_allclose(
airmass_calc[airmass_islarge],
star_dict[star]['airmass'][airmass_islarge],
rtol=1e-1,
atol=1.0,
)
def public_source_no_data(public_group):
obj = Obj(
id=str(uuid.uuid4()),
ra=0.0,
dec=0.0,
redshift=0.0,
)
DBSession.add(obj)
DBSession().add(ThumbnailFactory(obj_id=obj.id, type="new"))
DBSession().add(ThumbnailFactory(obj_id=obj.id, type="ps1"))
source = Source(obj_id=obj.id, group_id=public_group.id)
DBSession.add(source)
DBSession.commit()
obj_id = obj.id
yield obj
# If the obj wasn't deleted by the test using it, clean up
DBSession().expire(obj)
if DBSession().query(Obj).filter(Obj.id == obj_id).first():
DBSession().delete(obj)
DBSession().commit()