def read_script(self):
scriptfilepath = self.script_file
lines = file(scriptfilepath).readlines()
targetid = 0
self.targetsList = []
for line in lines:
line = line.strip()
if not line: # skip blank line
continue
if line[0] == '#': # skip comment line
continue
targetid += 1
values = line.split()
target = Target()
target.fieldid = eval(values[0])
target.filter = values[1]
target.ra_rad = math.radians(eval(values[2]))
target.dec_rad = math.radians(eval(values[3]))
target.ang_rad = math.radians(eval(values[4]))
target.num_exp = eval(values[5])
target.exp_times = [int(x) for x in values[6].split(',')]
self.targetsList.append(target)
self.log.info("%d targets" % len(self.targetsList))
def generate_target(self, fb_observation, tag='generate'):
'''Takes an observation array given by the feature based scheduler and generate an appropriate OpSim target.
:param fb_observation: numpy.array
:return: Target
'''
# self.log.debug('%s: %s' % (tag, fb_observation))
self.targetid += 1
filtername = fb_observation['filter']
propid = fb_observation['survey_id']
target = Target()
target.targetid = self.targetid
target.fieldid = fb_observation['field_id']
target.filter = str(filtername)
target.num_exp = fb_observation['nexp']
target.exp_times = [
fb_observation['exptime'] / fb_observation['nexp']
] * fb_observation['nexp']
target.ra_rad = fb_observation['RA']
target.dec_rad = fb_observation['dec']
target.ang_rad = fb_observation['rotSkyPos']
target.propid = propid
target.goal = 100
target.visits = 0
target.progress = 0.0
target.groupid = 1
target.groupix = 0
target.propid_list = [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]
return target
def start_night(self, timestamp, filters_mounted_tonight_list, night):
Proposal.start_night(self, timestamp, filters_mounted_tonight_list,
night)
self.fieldsvisitedtonight = {}
self.tonight_filters_list = []
self.tonight_targets = 0
self.tonight_targets_dict = {}
for filter in filters_mounted_tonight_list:
self.tonight_filters_list.append(filter)
self.build_tonight_fields_list(timestamp, night)
self.tonight_fields = len(self.tonight_fields_list)
# compute at start night
for field in self.tonight_fields_list:
fieldid = field.fieldid
# add new fields to fields dictionary
if fieldid not in self.survey_fields_dict:
self.survey_fields_dict[fieldid] = field.get_copy()
self.survey_fields += 1
# add new fields to targets dictionary
if fieldid not in self.survey_targets_dict:
self.survey_targets_dict[fieldid] = {}
self.tonight_targets_dict[fieldid] = {}
for filter in filters_mounted_tonight_list:
if filter in self.params.filter_list:
if self.params.filter_goal_dict[filter] > 0:
if filter not in self.survey_targets_dict[fieldid]:
target = Target()
target.fieldid = fieldid
target.filter = filter
target.num_exp = self.params.filter_num_exp_dict[
filter]
target.exp_times = self.params.filter_exp_times_dict[
filter]
target.ra_rad = field.ra_rad
target.dec_rad = field.dec_rad
target.propid = self.propid
target.goal = self.params.filter_goal_dict[filter]
target.visits = 0
target.progress = 0.0
target.groupid = 1
target.groupix = 1
self.survey_targets_dict[fieldid][filter] = target
self.survey_targets += 1
self.survey_targets_goal += target.goal
self.survey_filters_goal_dict[
filter] += target.goal
target = self.survey_targets_dict[fieldid][filter]
if target.progress < 1.0:
self.tonight_targets_dict[fieldid][filter] = target
self.tonight_targets += 1
for filter in self.params.filter_list:
if self.survey_filters_goal_dict[filter] > 0:
self.survey_filters_progress_dict[filter] = \
float(self.survey_filters_visits_dict[filter]) / self.survey_filters_goal_dict[filter]
else:
self.survey_filters_progress_dict[filter] = 0.0
if self.survey_targets_goal > 0:
self.survey_targets_progress = float(
self.survey_targets_visits) / self.survey_targets_goal
else:
self.survey_targets_progress = 0.0
self.log.debug("start_night tonight fields=%i targets=%i" %
(self.tonight_fields, self.tonight_targets))
self.last_observation = None
self.last_observation_was_for_this_proposal = False
