class TargetTest(unittest.TestCase):
def setUp(self):
self.targetId = 3
self.fieldId = 2573
self.band_filter = 'r'
self.ra = 300.518929
self.dec = -1.720965
self.ang = 45.0
self.num_exposures = 2
self.exposure_times = [15.0, 15.0]
self.alt = 45.0
self.az = 225.0
self.rot = 30.0
self.telalt = 45.0
self.telaz = 225.0
self.telrot = 30.0
self.ra_rad = math.radians(self.ra)
self.dec_rad = math.radians(self.dec)
self.ang_rad = math.radians(self.ang)
self.alt_rad = math.radians(self.alt)
self.az_rad = math.radians(self.az)
self.rot_rad = math.radians(self.rot)
self.telalt_rad = math.radians(self.telalt)
self.telaz_rad = math.radians(self.telaz)
self.telrot_rad = math.radians(self.telrot)
self.target = Target(self.targetId, self.fieldId, self.band_filter,
self.ra_rad, self.dec_rad, self.ang_rad,
self.num_exposures, self.exposure_times)
self.target.alt_rad = self.alt_rad
self.target.az_rad = self.az_rad
self.target.rot_rad = self.rot_rad
self.target.telalt_rad = self.telalt_rad
self.target.telaz_rad = self.telaz_rad
self.target.telrot_rad = self.telrot_rad
def test_basic_information_after_creation(self):
self.assertEqual(self.target.targetid, self.targetId)
self.assertEqual(self.target.fieldid, self.fieldId)
self.assertEqual(self.target.filter, self.band_filter)
self.assertEqual(self.target.ra, self.ra)
self.assertEqual(self.target.dec, self.dec)
self.assertEqual(self.target.num_exp, self.num_exposures)
self.assertListEqual(self.target.exp_times, self.exposure_times)
def test_json_serialization(self):
jsondump = self.target.to_json()
target2 = Target()
target2.from_json(jsondump)
self.assertEqual(self.target.targetid, target2.targetid)
self.assertEqual(self.target.fieldid, target2.fieldid)
self.assertEqual(self.target.filter, target2.filter)
self.assertEqual(self.target.ra_rad, target2.ra_rad)
self.assertEqual(self.target.dec_rad, target2.dec_rad)
self.assertEqual(self.target.num_exp, target2.num_exp)
self.assertListEqual(self.target.exp_times, target2.exp_times)
def test_json_ingest_has_required_params(self):
self.assertRaises(KeyError, self.init_target_with_bad_json)
def init_target_with_bad_json(self):
missingfilter = '{"targetid": 3, "fieldid": 2573, "ra_rad": 5.24504477561707, "dec_rad": -0.030036505561584215, "ang_rad": 0.7853981633974483, "num_exp": 2, "exp_times": [15.0, 15.0], "_exp_time": null, "time": 0.0, "airmass": 0.0, "sky_brightness": 0.0, "cloud": 0.0, "seeing": 0.0, "propid": 0, "need": 0.0, "bonus": 0.0, "value": 0.0, "goal": 0, "visits": 0, "progress": 0.0, "sequenceid": 0, "subsequencename": "", "groupid": 0, "groupix": 0, "is_deep_drilling": false, "is_dd_firstvisit": false, "remaining_dd_visits": 0, "dd_exposures": 0, "dd_filterchanges": 0, "dd_exptime": 0.0, "alt_rad": 0.7853981633974483, "az_rad": 3.9269908169872414, "rot_rad": 0.5235987755982988, "telalt_rad": 0.7853981633974483, "telaz_rad": 3.9269908169872414, "telrot_rad": 0.5235987755982988, "propboost": 1.0, "slewtime": 0.0, "cost": 0.0, "rank": 0.0, "num_props": 0, "propid_list": [], "need_list": [], "bonus_list": [], "value_list": [], "propboost_list": [], "sequenceid_list": [], "subsequencename_list": [], "groupid_list": [], "groupix_list": [], "is_deep_drilling_list": [], "is_dd_firstvisit_list": [], "remaining_dd_visits_list": [], "dd_exposures_list": [], "dd_filterchanges_list": [], "dd_exptime_list": [], "last_visit_time": 0.0, "note": ""}'
t = Target()
t.from_json(missingfilter)
def test_string_representation(self):
truth_str = "targetid=3 field=2573 filter=r exp_times=[15.0, 15.0] "\
"ra=300.519 dec=-1.721 ang=45.000 alt=45.000 az=225.000 "\
"rot=30.000 telalt=45.000 telaz=225.000 telrot=30.000 "\
"time=0.0 airmass=0.000 brightness=0.000 "\
"cloud=0.00 seeing=0.00 visits=0 progress=0.00% "\
"seqid=0 ssname= groupid=0 groupix=0 "\
"firstdd=False ddvisits=0 "\
"need=0.000 bonus=0.000 value=0.000 propboost=1.000 "\
"propid=[] need=[] bonus=[] value=[] propboost=[] "\
"slewtime=0.000 cost=0.000 rank=0.000 note="
self.assertEqual(str(self.target), truth_str)
def test_driver_state_copy(self):
target2 = Target()
target2.copy_driver_state(self.target)
self.assertEqual(target2.alt_rad, self.alt_rad)
self.assertEqual(target2.az_rad, self.az_rad)
self.assertEqual(target2.ang_rad, self.ang_rad)
self.assertEqual(target2.rot_rad, self.rot_rad)
self.assertEqual(target2.telalt_rad, self.telalt_rad)
self.assertEqual(target2.telaz_rad, self.telaz_rad)
self.assertEqual(target2.telrot_rad, self.telrot_rad)
def test_copy_creation(self):
target2 = self.target.get_copy()
target2.targetid = 10
target2.fieldid = 2142
self.assertEqual(self.target.targetid, self.targetId)
self.assertEqual(target2.targetid, 10)
self.assertEqual(self.target.fieldid, self.fieldId)
self.assertEqual(target2.fieldid, 2142)
def test_creation_from_topic(self):
topic = collections.namedtuple('topic', ['targetId', 'fieldId',
'filter', 'ra', 'decl',
'skyAngle',
'numExposures',
'exposureTimes'])
topic.targetId = 1
topic.fieldId = -1
topic.filter = 'z'
topic.ra = 274.279376
topic.decl = -14.441534
topic.skyAngle = 45.0
topic.numExposures = 3
topic.exposureTimes = [5.0, 10.0, 5.0]
target = Target.from_topic(topic)
self.assertEqual(target.targetid, topic.targetId)
self.assertEqual(target.fieldid, topic.fieldId)
self.assertEqual(target.filter, topic.filter)
self.assertEqual(target.ra, topic.ra)
self.assertAlmostEqual(target.dec, topic.decl, delta=1e-7)
self.assertEqual(target.num_exp, topic.numExposures)
self.assertListEqual(target.exp_times, topic.exposureTimes)
class Driver(object):
def __init__(self):
self.log = logging.getLogger("schedulerDriver")
self.params = DriverParameters()
self.location = ObservatoryLocation()
self.observatoryModel = ObservatoryModel(self.location, WORDY)
self.observatoryModel2 = ObservatoryModel(self.location, WORDY)
self.observatoryState = ObservatoryState()
self.sky = AstronomicalSkyModel(self.location)
self.db = FieldsDatabase()
self.build_fields_dict()
self.propid_counter = 0
self.science_proposal_list = []
self.start_time = 0.0
self.time = 0.0
self.targetid = 0
self.survey_started = False
self.isnight = False
self.sunset_timestamp = 0.0
self.sunrise_timestamp = 0.0
self.survey_duration_DAYS = 0.0
self.survey_duration_SECS = self.survey_duration_DAYS * 24 * 60 * 60.0
self.darktime = False
self.mounted_filter = ""
self.unmounted_filter = ""
self.midnight_moonphase = 0.0
self.nulltarget = Target()
self.nulltarget.targetid = -1
self.nulltarget.num_exp = 1
self.nulltarget.exp_times = [0.0]
self.nulltarget.num_props = 1
self.nulltarget.propid_list = [0]
self.nulltarget.need_list = [0.0]
self.nulltarget.bonus_list = [0.0]
self.nulltarget.value_list = [0.0]
self.nulltarget.propboost_list = [1.0]
self.last_winner_target = self.nulltarget.get_copy()
self.deep_drilling_target = None
self.need_filter_swap = False
self.filter_to_unmount = ""
self.filter_to_mount = ""
self.cloud = 0.0
self.seeing = 0.0
def configure_survey(self, survey_conf_file):
prop_conf_path = os.path.dirname(survey_conf_file)
confdict = read_conf_file(survey_conf_file)
self.survey_duration_DAYS = confdict["survey"]["survey_duration"]
self.survey_duration_SECS = self.survey_duration_DAYS * 24 * 60 * 60.0
self.propid_counter = 0
self.science_proposal_list = []
if 'scripted_propconf' in confdict["proposals"]:
scripted_propconflist = confdict["proposals"]["scripted_propconf"]
else:
scripted_propconflist = []
if not isinstance(scripted_propconflist, list):
# turn it into a list with one entry
propconf = scripted_propconflist
scripted_propconflist = []
scripted_propconflist.append(propconf)
self.log.info("configure_survey: scripted proposals %s" % (scripted_propconflist))
for k in range(len(scripted_propconflist)):
self.propid_counter += 1
scripted_prop = ScriptedProposal(self.propid_counter,
os.path.join(prop_conf_path,
"{}".format(scripted_propconflist[k])),
self.sky)
self.science_proposal_list.append(scripted_prop)
if 'areadistribution_propconf' in confdict["proposals"]:
areadistribution_propconflist = confdict["proposals"]["areadistribution_propconf"]
else:
areadistribution_propconflist = []
self.log.info("areadistributionPropConf:%s default" % (areadistribution_propconflist))
if not isinstance(areadistribution_propconflist, list):
# turn it into a list with one entry
propconf = areadistribution_propconflist
areadistribution_propconflist = []
areadistribution_propconflist.append(propconf)
self.log.info("init: areadistribution proposals %s" % (areadistribution_propconflist))
for k in range(len(areadistribution_propconflist)):
self.propid_counter += 1
configfilepath = os.path.join(prop_conf_path, "{}".format(areadistribution_propconflist[k]))
(path, name_ext) = os.path.split(configfilepath)
(name, ext) = os.path.splitext(name_ext)
proposal_confdict = read_conf_file(configfilepath)
self.create_area_proposal(self.propid_counter, name, proposal_confdict)
for prop in self.science_proposal_list:
prop.configure_constraints(self.params)
def configure_duration(self, survey_duration):
self.survey_duration_DAYS = survey_duration
self.survey_duration_SECS = survey_duration * 24 * 60 * 60.0
def configure(self, confdict):
self.params.configure(confdict)
self.log.log(WORDY,
"configure: coadd_values=%s" % (self.params.coadd_values))
self.log.log(WORDY,
"configure: time_balancing=%s" % (self.params.time_balancing))
self.log.log(WORDY,
"configure: timecost_dc=%.3f" % (self.params.timecost_dc))
self.log.log(WORDY,
"configure: timecost_dt=%.3f" % (self.params.timecost_dt))
self.log.log(WORDY,
"configure: timecost_k=%.3f" % (self.params.timecost_k))
self.log.log(WORDY,
"configure: timecost_weight=%.3f" % (self.params.timecost_weight))
self.log.log(WORDY,
"configure: night_boundary=%.1f" % (self.params.night_boundary))
self.log.log(WORDY,
"configure: ignore_sky_brightness=%s" % (self.params.ignore_sky_brightness))
self.log.log(WORDY,
"configure: ignore_airmass=%s" % (self.params.ignore_airmass))
self.log.log(WORDY,
"configure: ignore_clouds=%s" % (self.params.ignore_clouds))
self.log.log(WORDY,
"configure: ignore_seeing=%s" % (self.params.ignore_seeing))
self.log.log(WORDY,
"configure: new_moon_phase_threshold=%.2f" % (self.params.new_moon_phase_threshold))
for prop in self.science_proposal_list:
prop.configure_constraints(self.params)
def configure_location(self, confdict):
self.location.configure(confdict)
self.observatoryModel.location.configure(confdict)
self.observatoryModel2.location.configure(confdict)
self.sky.update_location(self.location)
def configure_observatory(self, confdict):
self.observatoryModel.configure(confdict)
self.observatoryModel2.configure(confdict)
def configure_telescope(self, confdict):
self.observatoryModel.configure_telescope(confdict)
self.observatoryModel2.configure_telescope(confdict)
def configure_rotator(self, confdict):
self.observatoryModel.configure_rotator(confdict)
self.observatoryModel2.configure_rotator(confdict)
def configure_dome(self, confdict):
self.observatoryModel.configure_dome(confdict)
self.observatoryModel2.configure_dome(confdict)
def configure_optics(self, confdict):
self.observatoryModel.configure_optics(confdict)
self.observatoryModel2.configure_optics(confdict)
def configure_camera(self, confdict):
self.observatoryModel.configure_camera(confdict)
self.observatoryModel2.configure_camera(confdict)
def configure_slew(self, confdict):
self.observatoryModel.configure_slew(confdict)
self.observatoryModel2.configure_slew(confdict)
def configure_park(self, confdict):
self.observatoryModel.configure_park(confdict)
self.observatoryModel2.configure_park(confdict)
def create_area_proposal(self, propid, name, config_dict):
self.propid_counter += 1
area_prop = AreaDistributionProposal(propid, name, config_dict, self.sky)
area_prop.configure_constraints(self.params)
self.science_proposal_list.append(area_prop)
def create_sequence_proposal(self, propid, name, config_dict):
self.propid_counter += 1
seq_prop = TimeDistributionProposal(propid, name, config_dict, self.sky)
seq_prop.configure_constraints(self.params)
self.science_proposal_list.append(seq_prop)
def build_fields_dict(self):
sql = "select * from Field"
res = self.db.query(sql)
self.fields_dict = {}
for row in res:
field = Field()
fieldid = row[0]
field.fieldid = fieldid
field.fov_rad = math.radians(row[1])
field.ra_rad = math.radians(row[2])
field.dec_rad = math.radians(row[3])
field.gl_rad = math.radians(row[4])
field.gb_rad = math.radians(row[5])
field.el_rad = math.radians(row[6])
field.eb_rad = math.radians(row[7])
self.fields_dict[fieldid] = field
self.log.log(EXTENSIVE, "buildFieldsTable: %s" % (self.fields_dict[fieldid]))
self.log.info("buildFieldsTable: %d fields" % (len(self.fields_dict)))
def get_fields_dict(self):
return self.fields_dict
def start_survey(self, timestamp, night):
self.start_time = timestamp
self.log.info("start_survey t=%.6f" % timestamp)
self.survey_started = True
for prop in self.science_proposal_list:
prop.start_survey()
self.sky.update(timestamp)
(sunset, sunrise) = self.sky.get_night_boundaries(self.params.night_boundary)
self.log.debug("start_survey sunset=%.6f sunrise=%.6f" % (sunset, sunrise))
# if round(sunset) <= round(timestamp) < round(sunrise):
if sunset <= timestamp < sunrise:
self.start_night(timestamp, night)
self.sunset_timestamp = sunset
self.sunrise_timestamp = sunrise
def end_survey(self):
self.log.info("end_survey")
for prop in self.science_proposal_list:
prop.end_survey()
def start_night(self, timestamp, night):
timeprogress = (timestamp - self.start_time) / self.survey_duration_SECS
self.log.info("start_night t=%.6f, night=%d timeprogress=%.2f%%" %
(timestamp, night, 100 * timeprogress))
self.isnight = True
for prop in self.science_proposal_list:
prop.start_night(timestamp, self.observatoryModel.current_state.mountedfilters, night)
def end_night(self, timestamp, night):
timeprogress = (timestamp - self.start_time) / self.survey_duration_SECS
self.log.info("end_night t=%.6f, night=%d timeprogress=%.2f%%" %
(timestamp, night, 100 * timeprogress))
self.isnight = False
self.last_winner_target = self.nulltarget
self.deep_drilling_target = None
total_filter_visits_dict = {}
total_filter_goal_dict = {}
total_filter_progress_dict = {}
for prop in self.science_proposal_list:
prop.end_night(timestamp)
filter_visits_dict = {}
filter_goal_dict = {}
filter_progress_dict = {}
for filter in self.observatoryModel.filters:
if filter not in total_filter_visits_dict:
total_filter_visits_dict[filter] = 0
total_filter_goal_dict[filter] = 0
filter_visits_dict[filter] = prop.get_filter_visits(filter)
filter_goal_dict[filter] = prop.get_filter_goal(filter)
filter_progress_dict[filter] = prop.get_filter_progress(filter)
total_filter_visits_dict[filter] += filter_visits_dict[filter]
total_filter_goal_dict[filter] += filter_goal_dict[filter]
self.log.debug("end_night propid=%d name=%s filter=%s progress=%.2f%%" %
(prop.propid, prop.name, filter, 100 * filter_progress_dict[filter]))
for filter in self.observatoryModel.filters:
if total_filter_goal_dict[filter] > 0:
total_filter_progress_dict[filter] = \
float(total_filter_visits_dict[filter]) / total_filter_goal_dict[filter]
else:
total_filter_progress_dict[filter] = 0.0
self.log.info("end_night filter=%s progress=%.2f%%" %
(filter, 100 * total_filter_progress_dict[filter]))
previous_midnight_moonphase = self.midnight_moonphase
self.sky.update(timestamp)
(sunset, sunrise) = self.sky.get_night_boundaries(self.params.night_boundary)
self.log.debug("end_night sunset=%.6f sunrise=%.6f" % (sunset, sunrise))
self.sunset_timestamp = sunset
self.sunrise_timestamp = sunrise
next_midnight = (sunset + sunrise) / 2
self.sky.update(next_midnight)
info = self.sky.get_moon_sun_info(numpy.array([0.0]), numpy.array([0.0]))
self.midnight_moonphase = info["moonPhase"]
self.log.info("end_night next moonphase=%.2f%%" % (self.midnight_moonphase))
self.need_filter_swap = False
self.filter_to_mount = ""
self.filter_to_unmount = ""
if self.darktime:
if self.midnight_moonphase > previous_midnight_moonphase:
self.log.info("end_night dark time waxing")
if self.midnight_moonphase > self.params.new_moon_phase_threshold:
self.need_filter_swap = True
self.filter_to_mount = self.unmounted_filter
self.filter_to_unmount = self.mounted_filter
self.darktime = False
else:
self.log.info("end_night dark time waning")
else:
if self.midnight_moonphase < previous_midnight_moonphase:
self.log.info("end_night bright time waning")
if self.midnight_moonphase < self.params.new_moon_phase_threshold:
self.need_filter_swap = True
self.filter_to_mount = self.observatoryModel.params.filter_darktime
max_progress = -1.0
for filter in self.observatoryModel.params.filter_removable_list:
if total_filter_progress_dict[filter] > max_progress:
self.filter_to_unmount = filter
max_progress = total_filter_progress_dict[filter]
self.darktime = True
else:
self.log.info("end_night bright time waxing")
if self.need_filter_swap:
self.log.debug("end_night filter swap %s=>cam=>%s" %
(self.filter_to_mount, self.filter_to_unmount))
def swap_filter(self, filter_to_unmount, filter_to_mount):
self.log.info("swap_filter swap %s=>cam=>%s" % (filter_to_mount, filter_to_unmount))
self.observatoryModel.swap_filter(filter_to_unmount)
self.unmounted_filter = filter_to_unmount
self.mounted_filter = filter_to_mount
return
def update_time(self, timestamp, night):
self.time = timestamp
self.observatoryModel.update_state(self.time)
if not self.survey_started:
self.start_survey(timestamp, night)
if self.isnight:
# if round(timestamp) >= round(self.sunrise_timestamp):
if timestamp >= self.sunrise_timestamp:
self.end_night(timestamp, night)
else:
# if round(timestamp) >= round(self.sunset_timestamp):
if timestamp >= self.sunset_timestamp:
self.start_night(timestamp, night)
return self.isnight
def get_need_filter_swap(self):
return (self.need_filter_swap, self.filter_to_unmount, self.filter_to_mount)
def update_internal_conditions(self, observatory_state, night):
if observatory_state.unmountedfilters != self.observatoryModel.current_state.unmountedfilters:
unmount = observatory_state.unmountedfilters[0]
mount = self.observatoryModel.current_state.unmountedfilters[0]
self.swap_filter(unmount, mount)
for prop in self.science_proposal_list:
prop.start_night(observatory_state.time, observatory_state.mountedfilters, night)
self.time = observatory_state.time
self.observatoryModel.set_state(observatory_state)
self.observatoryState.set(observatory_state)
def update_external_conditions(self, cloud, seeing):
self.cloud = cloud
self.seeing = seeing
return
def select_next_target(self):
if not self.isnight:
return self.nulltarget
targets_dict = {}
ranked_targets_list = []
propboost_dict = {}
sumboost = 0.0
timeprogress = (self.time - self.start_time) / self.survey_duration_SECS
for prop in self.science_proposal_list:
progress = prop.get_progress()
if self.params.time_balancing:
if progress > 0.0:
if timeprogress < 1.0:
needindex = (1.0 - progress) / (1.0 - timeprogress)
else:
needindex = 0.0
if timeprogress > 0.0:
progressindex = progress / timeprogress
else:
progressindex = 1.0
propboost_dict[prop.propid] = needindex / progressindex
else:
propboost_dict[prop.propid] = 1.0
else:
propboost_dict[prop.propid] = 1.0
sumboost += propboost_dict[prop.propid]
if self.deep_drilling_target is not None:
self.log.debug("select_next_target: in deep drilling %s" % str(self.deep_drilling_target))
if self.observatoryModel.is_filter_change_allowed():
constrained_filter = None
else:
constrained_filter = self.observatoryModel.current_state.filter
num_filter_changes = self.observatoryModel.get_number_filter_changes()
delta_burst = self.observatoryModel.get_delta_filter_burst()
delta_avg = self.observatoryModel.get_delta_filter_avg()
self.log.debug("select_next_target: filter changes num=%i tburst=%.1f tavg=%.1f constrained=%s" %
(num_filter_changes, delta_burst, delta_avg, constrained_filter))
for prop in self.science_proposal_list:
propboost_dict[prop.propid] = \
(propboost_dict[prop.propid] * len(self.science_proposal_list) / sumboost) ** self.params.propboost_weight
proptarget_list = prop.suggest_targets(self.time,
self.deep_drilling_target, constrained_filter,
self.cloud, self.seeing)
self.log.log(EXTENSIVE, "select_next_target propid=%d name=%s "
"targets=%d progress=%.2f%% propboost=%.3f" %
(prop.propid, prop.name,
len(proptarget_list), 100 * progress, propboost_dict[prop.propid]))
for target in proptarget_list:
target.num_props = 1
target.propboost = propboost_dict[prop.propid]
target.propid_list = [prop.propid]
target.need_list = [target.need]
target.bonus_list = [target.bonus]
target.value_list = [target.value]
target.propboost_list = [target.propboost]
target.sequenceid_list = [target.sequenceid]
target.subsequencename_list = [target.subsequencename]
target.groupid_list = [target.groupid]
target.groupix_list = [target.groupix]
target.is_deep_drilling_list = [target.is_deep_drilling]
target.is_dd_firstvisit_list = [target.is_dd_firstvisit]
target.remaining_dd_visits_list = [target.remaining_dd_visits]
target.dd_exposures_list = [target.dd_exposures]
target.dd_filterchanges_list = [target.dd_filterchanges]
target.dd_exptime_list = [target.dd_exptime]
fieldfilter = (target.fieldid, target.filter)
if fieldfilter in targets_dict:
if self.params.coadd_values:
targets_dict[fieldfilter][0] = targets_dict[fieldfilter][0].get_copy()
targets_dict[fieldfilter][0].need += target.need
targets_dict[fieldfilter][0].bonus += target.bonus
targets_dict[fieldfilter][0].value += target.value
targets_dict[fieldfilter][0].propboost += target.propboost
if target.is_deep_drilling:
# overrides to make the coadded target a consistent deep drilling
targets_dict[fieldfilter][0].is_deep_drilling = target.is_deep_drilling
targets_dict[fieldfilter][0].is_dd_firstvisit = target.is_dd_firstvisit
targets_dict[fieldfilter][0].remaining_dd_visits = target.remaining_dd_visits
targets_dict[fieldfilter][0].dd_exposures = target.dd_exposures
targets_dict[fieldfilter][0].dd_filterchanges = target.dd_filterchanges
targets_dict[fieldfilter][0].dd_exptime = target.dd_exptime
targets_dict[fieldfilter][0].sequenceid = target.sequenceid
targets_dict[fieldfilter][0].subsequencename = target.subsequencename
targets_dict[fieldfilter][0].groupid = target.groupid
targets_dict[fieldfilter][0].groupix = target.groupix
else:
# new target to coadd is not deep drilling
if not targets_dict[fieldfilter][0].is_deep_drilling:
# coadded target is not deep drilling
# overrides with new sequence information
targets_dict[fieldfilter][0].sequenceid = target.sequenceid
targets_dict[fieldfilter][0].subsequencename = target.subsequencename
targets_dict[fieldfilter][0].groupid = target.groupid
targets_dict[fieldfilter][0].groupix = target.groupix
# if coadded target is already deep drilling, don't override
targets_dict[fieldfilter][0].num_props += 1
targets_dict[fieldfilter][0].propid_list.append(prop.propid)
targets_dict[fieldfilter][0].need_list.append(target.need)
targets_dict[fieldfilter][0].bonus_list.append(target.bonus)
targets_dict[fieldfilter][0].value_list.append(target.value)
targets_dict[fieldfilter][0].propboost_list.append(target.propboost)
targets_dict[fieldfilter][0].sequenceid_list.append(target.sequenceid)
targets_dict[fieldfilter][0].subsequencename_list.append(target.subsequencename)
targets_dict[fieldfilter][0].groupid_list.append(target.groupid)
targets_dict[fieldfilter][0].groupix_list.append(target.groupix)
targets_dict[fieldfilter][0].is_deep_drilling_list.append(target.is_deep_drilling)
targets_dict[fieldfilter][0].is_dd_firstvisit_list.append(target.is_dd_firstvisit)
targets_dict[fieldfilter][0].remaining_dd_visits_list.append(
target.remaining_dd_visits)
targets_dict[fieldfilter][0].dd_exposures_list.append(target.dd_exposures)
targets_dict[fieldfilter][0].dd_filterchanges_list.append(target.dd_filterchanges)
targets_dict[fieldfilter][0].dd_exptime_list.append(target.dd_exptime)
else:
targets_dict[fieldfilter].append(target)
else:
targets_dict[fieldfilter] = [target]
filtercost = self.compute_filterchange_cost() * self.params.filtercost_weight
for fieldfilter in targets_dict:
slewtime = self.observatoryModel.get_slew_delay(targets_dict[fieldfilter][0])
if slewtime >= 0:
timecost = self.compute_slewtime_cost(slewtime) * self.params.timecost_weight
for target in targets_dict[fieldfilter]:
target.slewtime = slewtime
if target.filter != self.observatoryModel.current_state.filter:
target.cost = timecost + filtercost
else:
target.cost = timecost
target.rank = (target.value * target.propboost) - target.cost
ranked_targets_list.append((-target.rank, target))
sorted_list = sorted(ranked_targets_list, key=itemgetter(0))
winner_found = False
while len(sorted_list) > 0 and not winner_found:
winner_target = sorted_list.pop(0)[1]
self.observatoryModel2.set_state(self.observatoryState)
self.observatoryModel2.observe(winner_target)
if winner_target.is_dd_firstvisit:
ttime = self.observatoryModel2.get_deep_drilling_time(winner_target)
else:
ttime = 0.0
ntime = self.observatoryModel2.current_state.time + ttime + 30.0
if ntime < self.sunrise_timestamp:
self.observatoryModel2.update_state(ntime)
if self.observatoryModel2.current_state.tracking:
self.targetid += 1
winner_target.targetid = self.targetid
winner_target.time = self.time
winner_found = True
else:
self.log.debug("select_next_target: target rejected ttime=%.1f %s" %
(ttime, str(winner_target)))
self.log.debug("select_next_target: state rejected %s" %
str(self.observatoryModel2.current_state))
else:
self.log.debug("select_next_target: target rejected ttime=%.1f %s" %
(ttime, str(winner_target)))
self.log.debug("select_next_target: rejected due to end of night")
if ttime == 0.0:
# ttime == 0 means it is a regular visit (not DD)
# if there is no time left for a single visit then quit
break
if winner_found:
if not self.params.coadd_values:
first_target = targets_dict[(winner_target.fieldid, winner_target.filter)][0]
if first_target.propid != winner_target.propid:
winner_target.copy_driver_state(first_target)
self.last_winner_target = winner_target.get_copy()
else:
self.last_winner_target = self.nulltarget
return self.last_winner_target
def register_observation(self, observation):
target_list = []
if observation.targetid > 0:
if self.observation_fulfills_target(observation, self.last_winner_target):
observation = self.last_winner_target
else:
self.log.info("register_observation: unexpected observation %s" % str(observation))
for prop in self.science_proposal_list:
target = prop.register_observation(observation)
if target is not None:
target_list.append(target)
self.last_observation = observation.get_copy()
if self.last_observation.is_deep_drilling and (self.last_observation.remaining_dd_visits > 1):
self.deep_drilling_target = self.last_observation
else:
self.deep_drilling_target = None
return target_list
def compute_slewtime_cost(self, slewtime):
cost = (self.params.timecost_k / (slewtime + self.params.timecost_dt) -
self.params.timecost_dc - self.params.timecost_cref) / (1.0 - self.params.timecost_cref)
#cost = self.params.timecost_k / (slewtime + self.params.timecost_dt) - self.params.timecost_dc
return cost
def compute_filterchange_cost(self):
t = self.observatoryModel.get_delta_last_filterchange()
T = self.observatoryModel.params.filter_max_changes_avg_interval
if t < T:
cost = 1.0 - t / T
else:
cost = 0.0
return cost
def observation_fulfills_target(self, observ, target):
return (observ.fieldid == target.fieldid) and (observ.filter == target.filter)
class Driver(object):
def __init__(self):
self.log = logging.getLogger("schedulerDriver")
self.params = DriverParameters()
self.location = ObservatoryLocation()
self.observatoryModel = ObservatoryModel(self.location, WORDY)
self.observatoryModel2 = ObservatoryModel(self.location, WORDY)
self.observatoryState = ObservatoryState()
self.sky = AstronomicalSkyModel(self.location)
self.propid_counter = 0
self.night = 0
self.start_time = 0.0
self.time = 0.0
self.targetid = 0
self.survey_started = False
self.isnight = False
self.sunset_timestamp = 0.0
self.sunrise_timestamp = 0.0
self.survey_duration_DAYS = 0.0
self.survey_duration_SECS = self.survey_duration_DAYS * 24 * 60 * 60.0
self.darktime = False
self.mounted_filter = ""
self.unmounted_filter = ""
self.midnight_moonphase = 0.0
self.nulltarget = Target()
self.nulltarget.targetid = -1
self.nulltarget.num_exp = 1
self.nulltarget.exp_times = [0.0]
self.nulltarget.num_props = 1
self.nulltarget.propid_list = [0]
self.nulltarget.need_list = [0.0]
self.nulltarget.bonus_list = [0.0]
self.nulltarget.value_list = [0.0]
self.nulltarget.propboost_list = [1.0]
self.last_winner_target = self.nulltarget.get_copy()
self.deep_drilling_target = None
self.need_filter_swap = False
self.filter_to_unmount = ""
self.filter_to_mount = ""
self.cloud = 0.0
self.seeing = 0.0
def configure_scheduler(self, **kwargs):
raise NotImplemented
def configure_duration(self, survey_duration):
self.survey_duration_DAYS = survey_duration
self.survey_duration_SECS = survey_duration * 24 * 60 * 60.0
def configure(self, confdict):
self.params.configure(confdict)
self.log.log(WORDY,
"configure: night_boundary=%.1f" % (self.params.night_boundary))
def configure_location(self, confdict):
self.location.configure(confdict)
self.observatoryModel.location.configure(confdict)
self.observatoryModel2.location.configure(confdict)
self.sky.update_location(self.location)
def configure_observatory(self, confdict):
"""This method calls the configure()method in ObservatoryModel class,
which configures all its submodules. When initializing one can issue
a call to this method with a complete set of parameters on confdict.
Parameters
----------
confdict : dict()
Returns
-------
None
"""
self.observatoryModel.configure(confdict)
self.observatoryModel2.configure(confdict)
def configure_telescope(self, confdict):
self.observatoryModel.configure_telescope(confdict)
self.observatoryModel2.configure_telescope(confdict)
def configure_rotator(self, confdict):
self.observatoryModel.configure_rotator(confdict)
self.observatoryModel2.configure_rotator(confdict)
def configure_dome(self, confdict):
self.observatoryModel.configure_dome(confdict)
self.observatoryModel2.configure_dome(confdict)
def configure_optics(self, confdict):
self.observatoryModel.configure_optics(confdict)
self.observatoryModel2.configure_optics(confdict)
def configure_camera(self, confdict):
self.observatoryModel.configure_camera(confdict)
self.observatoryModel2.configure_camera(confdict)
def configure_slew(self, confdict):
self.observatoryModel.configure_slew(confdict)
self.observatoryModel2.configure_slew(confdict)
def configure_park(self, confdict):
self.observatoryModel.configure_park(confdict)
self.observatoryModel2.configure_park(confdict)
def start_survey(self, timestamp, night):
"""This method begins the survey.
Parameters
----------
timestamp : float
night : int
Returns
-------
None
"""
self.start_time = timestamp
self.log.info("start_survey t=%.6f" % timestamp)
self.survey_started = True
self.sky.update(timestamp)
(sunset, sunrise) = self.sky.get_night_boundaries(self.params.night_boundary)
self.log.debug("start_survey sunset=%.6f sunrise=%.6f" % (sunset, sunrise))
# if round(sunset) <= round(timestamp) < round(sunrise):
if sunset <= timestamp < sunrise:
self.start_night(timestamp, night)
self.sunset_timestamp = sunset
self.sunrise_timestamp = sunrise
def end_survey(self):
"""This method ends the survey.
Parameters
----------
None
Returns
-------
None
"""
self.log.info("end_survey")
def start_night(self, timestamp, night):
"""This method is called once per night before observations begin.
It is not called if the observatory is undergoing downtime.
Parameters
----------
timestamp : float
night : int
Returns
-------
None
"""
timeprogress = (timestamp - self.start_time) / self.survey_duration_SECS
self.log.info("start_night t=%.6f, night=%d timeprogress=%.2f%%" %
(timestamp, night, 100 * timeprogress))
self.isnight = True
def end_night(self, timestamp, night):
"""This method is called once per night after observing completes.
Parameters
----------
timestamp : float
night : int
Returns
-------
None
"""
pass
def swap_filter(self, filter_to_unmount, filter_to_mount):
self.log.info("swap_filter swap %s=>cam=>%s" % (filter_to_mount, filter_to_unmount))
self.observatoryModel.swap_filter(filter_to_unmount)
self.unmounted_filter = filter_to_unmount
self.mounted_filter = filter_to_mount
return
def update_time(self, timestamp, night):
self.time = timestamp
self.observatoryModel.update_state(self.time)
if not self.survey_started:
self.start_survey(timestamp, night)
if self.isnight:
# if round(timestamp) >= round(self.sunrise_timestamp):
if timestamp >= self.sunrise_timestamp:
self.end_night(timestamp, night)
else:
# if round(timestamp) >= round(self.sunset_timestamp):
if timestamp >= self.sunset_timestamp:
self.start_night(timestamp, night)
return self.isnight
def get_need_filter_swap(self):
"""When scheduler determines that a filter swap is needed,
this shall return a tuple where the first element is a TRUE value,
and the second and third elements are single-character strings identifying
which filter to remove from the carousel, and which filter to add, respectively.
Parameters
----------
None
Returns
-------
Tuple (bool, str, str)
"""
return (self.need_filter_swap, self.filter_to_unmount, self.filter_to_mount)
def update_internal_conditions(self, observatory_state, night):
if observatory_state.unmountedfilters != self.observatoryModel.current_state.unmountedfilters:
unmount = observatory_state.unmountedfilters[0]
mount = self.observatoryModel.current_state.unmountedfilters[0]
self.swap_filter(unmount, mount)
self.time = observatory_state.time
self.observatoryModel.set_state(observatory_state)
self.observatoryState.set(observatory_state)
def update_external_conditions(self, cloud, seeing):
self.cloud = cloud
self.seeing = seeing
return
def cold_start(self, observations):
"""Rebuilds the internal state of the scheduler from a list of observations.
Parameters
----------
observations : list of Observation objects
Returns
-------
None
"""
raise NotImplemented
def select_next_target(self):
"""Picks a target and returns it as a target object.
Parameters
----------
None
Returns
-------
Target
"""
raise NotImplemented
def register_observation(self, observation):
"""Validates observation and returns a list of successfully completed observations.
Parameters
----------
observation : Observation or a python list of Observations
Returns
-------
Python list of one or more Observations
"""
raise NotImplemented