def __init__(self):
'''
Constructor.
'''
ChimeraObject.__init__(self)
#
# Reading in configuration parameters
#
config = ConfigParser.RawConfigParser()
if os.path.exists(
os.path.join(os.path.expanduser('~/.chimera'), 'tao.cfg')):
config.read(
os.path.join(os.path.expanduser('~/.chimera'), 'tao.cfg'))
else:
log.warning(
'No user defined configuration found at %s. Using default values.'
% (os.path.join(os.path.expanduser('~/.chimera'), 'tao.cfg')))
config.read(os.path.join(os.path.join(cfgpath, '../../tao.cfg')))
#
# Setting configuration parameters
#
self.stdFlag = config.get('TargetsInfo', 'Standard')
self.sciFlag = config.get('TargetsInfo', 'Science')
self.stdUser = config.get('TargetsInfo', 'stdUser')
self.sciUser = config.get('TargetsInfo', 'sciUser')
self.stdFile = config.get('TargetsInfo', 'stdFile')
self.sciFile = config.get('TargetsInfo', 'sciFile')
self.PATH = os.path.expanduser(config.get('Local', 'PATH'))
self.sitelat = float(config.get('Site', 'sitelat'))
self.sitelong = float(config.get('Site', 'sitelong'))
self.sunMaxAlt = float(config.get('Site', 'sunMaxAlt'))
self.filters = [
i.replace(' ', '')
for i in config.get('Instrument', 'Filters').split(',')
]
self.nfilters = len(self.filters)
self.stdExpTime = [
float(i)
for i in config.get('TargetsInfo', 'stdExpTime').split(',')
]
self.sciExpTime = [
float(i)
for i in config.get('TargetsInfo', 'sciExpTime').split(',')
]
self.stdMaxAirmass = float(config.get('TargetsInfo', 'stdMaxAirmass'))
#
# These are time bins, which breaks the night in timely intervals. Bins is the time at the begining of the bin
# and Mask is percent full.
self.obsTimeBins = []
self.obsTimeMask = []
self.isJD = False
def create(data, imageRequest=None, filename=None):
if imageRequest:
try:
filename = imageRequest["filename"]
except KeyError:
if not filename:
raise TypeError(
"Invalid filename, you must pass filename=something"
"or a valid ImageRequest object")
filename = ImageUtil.makeFilename(filename)
hdu = pyfits.PrimaryHDU(data)
headers = [("DATE", ImageUtil.formatDate(dt.datetime.now()),
"date of file creation"),
("CREATOR", _chimera_name_, _chimera_long_description_)]
#TODO: Implement BITPIX support
hdu.scale('int16', '', bzero=32768, bscale=1)
if imageRequest:
headers += imageRequest.headers
for header in headers:
try:
hdu.header.update(*header)
except Exception, e:
log.warning("Couldn't add %s: %s" % (str(header), str(e)))
def create (data, imageRequest=None, filename=None):
if imageRequest:
try:
filename = imageRequest["filename"]
except KeyError:
if not filename:
raise TypeError("Invalid filename, you must pass filename=something"
"or a valid ImageRequest object")
filename = ImageUtil.makeFilename(filename)
hdu = pyfits.PrimaryHDU(data)
headers = [("DATE", ImageUtil.formatDate(dt.datetime.utcnow()), "date of file creation"),
("CREATOR", _chimera_name_, _chimera_long_description_)]
#TODO: Implement BITPIX support
hdu.scale('int16', '', bzero=32768, bscale=1)
if imageRequest:
headers += imageRequest.headers
for header in headers:
try:
hdu.header.update(*header)
except Exception, e:
log.warning("Couldn't add %s: %s" % (str(header), str(e)))
def _getHeaders(self, manager, proxies):
for proxyurl in proxies:
try:
proxy = manager.getProxy(proxyurl)
proxyLoc = str(proxy.getLocation())
if proxyLoc not in self._accum_from:
self._accum_from.append(proxyLoc)
self.headers += proxy.getMetadata(self)
except Exception, e:
log.warning('Unable to get metadata from %s' % (proxyurl))
print ''.join(Pyro.util.getPyroTraceback(e))
def _fetchPreHeaders (self, manager):
auto = []
if self.auto_collect_metadata:
for cls in ('Site', 'Camera', 'Dome', 'FilterWheel', 'Focuser', 'Telescope'):
locations = manager.getResourcesByClass(cls)
if len(locations) == 1:
auto.append(str(locations[0]))
elif len(locations) == 0:
log.warning("No %s available, header would be incomplete." % cls)
else:
log.warning("More than one %s available, header may be incorrect. Using the first %s." % (cls, cls))
auto.append(str(locations[0]))
self._getHeaders(manager, auto+self.metadataPre)
def __init__(self):
'''
Constructor.
'''
ChimeraObject.__init__(self)
#
# Reading in configuration parameters
#
config = ConfigParser.RawConfigParser()
if os.path.exists(os.path.join(os.path.expanduser('~/.chimera'),'tao.cfg')):
config.read(os.path.join(os.path.expanduser('~/.chimera'),'tao.cfg'))
else:
log.warning('No user defined configuration found at %s. Using default values.'%(os.path.join(os.path.expanduser('~/.chimera'),'tao.cfg')))
config.read(os.path.join(os.path.join(cfgpath,'../../tao.cfg')))
#
# Setting configuration parameters
#
self.stdFlag = config.get('TargetsInfo', 'Standard')
self.sciFlag = config.get('TargetsInfo', 'Science')
self.stdUser = config.get('TargetsInfo', 'stdUser')
self.sciUser = config.get('TargetsInfo', 'sciUser')
self.stdFile = config.get('TargetsInfo', 'stdFile')
self.sciFile = config.get('TargetsInfo', 'sciFile')
self.PATH = os.path.expanduser(config.get('Local', 'PATH'))
self.sitelat = float(config.get('Site','sitelat'))
self.sitelong = float(config.get('Site','sitelong'))
self.sunMaxAlt = float(config.get('Site','sunMaxAlt'))
self.filters = [i.replace(' ', '') for i in config.get('Instrument', 'Filters').split(',')]
self.nfilters = len(self.filters)
self.stdExpTime = [float(i) for i in config.get('TargetsInfo', 'stdExpTime').split(',')]
self.sciExpTime = [float(i) for i in config.get('TargetsInfo', 'sciExpTime').split(',')]
self.stdMaxAirmass = float(config.get('TargetsInfo','stdMaxAirmass'))
#
# These are time bins, which breaks the night in timely intervals. Bins is the time at the begining of the bin
# and Mask is percent full.
self.obsTimeBins = []
self.obsTimeMask = []
self.isJD = False
def _fetchPreHeaders(self, manager):
auto = []
if self.auto_collect_metadata:
for cls in ('Site', 'Camera', 'Dome', 'FilterWheel', 'Focuser',
'Telescope'):
locations = manager.getResourcesByClass(cls)
if len(locations) == 1:
auto.append(str(locations[0]))
elif len(locations) == 0:
log.warning(
"No %s available, header would be incomplete." % cls)
else:
log.warning(
"More than one %s available, header may be incorrect. Using the first %s."
% (cls, cls))
auto.append(str(locations[0]))
self._getHeaders(manager, auto + self.metadataPre)
def selectStandardTargets(self,nstars=3,nairmass=3):
'''
Based on configuration parameters, select 'nstars' standard stars to run scheduler on a specified Julian Day. Ideally you
will select standard stars before your science targets so not to have a full queue. Usually standard stars are observed
more than once a night at different airmasses. The user can control this parameter with nairmass and the script will try
to take care of the rest.
'''
session = Session()
# First of all, standard stars can be obsered multiple times in sucessive nights. I will mark all
# stars an unscheduled.
targets = session.query(Targets).filter(Targets.scheduled == True).filter(Targets.type == self.stdFlag)
for target in targets:
target.scheduled = False
session.commit()
# [To be done] Reject objects that are close to the moon
# Selecting standard stars is not only searching for the higher in that time but select stars than can be observed at 3
# or more (nairmass) different airmasses. It is also important to select stars with different colors (but this will be
# taken care in the future).
if nairmass*nstars > len(self.obsTimeBins):
log.warning('Requesting more stars/observations than it will be possible to schedule. Decreasing number of requests to fit in the night.')
nstars = len(self.obsTimeBins)/nairmass
obsStandars = np.zeros(len(self.obsTimeBins))-1 # first selection of observable standards
for tbin,time in enumerate(self.obsTimeBins):
if self.obsTimeMask[tbin] < 1.0:
# 1 - Select objects from database that where not scheduled yet (standard stars may be repited)
# that fits our observing night
targets = session.query(Targets).filter(Targets.scheduled == 0).filter(Targets.type == self.stdFlag)
lst = _skysub.lst(time,self.sitelong) #*360./24.
alt = np.array([_skysub.altit(target.targetDec,lst - target.targetRa,self.sitelat)[0] for target in targets])
stg = alt.argmax()
log.info('Selecting %s'%(targets[stg]))
# Marking target as schedule
tst = session.query(Targets).filter(Targets.id == targets[stg].id)
for t in tst:
t.scheduled = True
session.commit()
obsStandars[tbin] = t.id
else:
log.info('Bin already filled up with observations. Skipping...')
if len(obsStandars[obsStandars >= 0]) < nstars:
log.warning('Could not find %i suitable standard stars in catalog. Only %i where found.'%(nstars,len(obsStandars[obsStandars >= 0])))
#
# Unmarking potential targets as scheduled
#
for id in obsStandars[obsStandars >= 0]:
target = session.query(Targets).filter(Targets.id == id)
for t in target:
t.scheduled = False
session.commit()
tbin+=1
#
# Preparing a grid of altitudes for each target for each observing window
#
amGrid = np.zeros(len(obsStandars)*len(obsStandars)).reshape(len(obsStandars),len(obsStandars))
for i in np.arange(len(obsStandars))[obsStandars >= 0]:
target = session.query(Targets).filter(Targets.id == obsStandars[i])[0]
for j in range(len(obsStandars)):
lst = _skysub.lst(self.obsTimeBins[j],self.sitelong)
amGrid[i][j] = _skysub.true_airmass(_skysub.secant_z(_skysub.altit(target.targetDec,lst - target.targetRa,self.sitelat)[0]))
if amGrid[i][j] < 0:
amGrid [i][j] = 99.
#
# Build a grid mask that specifies the position in time each target should be observed. This means that, when
# selecting a single target we ocuppy more than one, non consecutive, position in the night. This grid shows where are these
# positions.
#
obsMask = np.zeros(len(obsStandars)*len(obsStandars),dtype=np.bool).reshape(len(obsStandars),len(obsStandars))
for i in np.arange(len(obsStandars))[obsStandars >= 0]:
amObs = np.linspace(amGrid[i].min(),self.stdMaxAirmass,nairmass) # requested aimasses
dam = np.mean(np.abs(amGrid[i][amGrid[i]<self.stdMaxAirmass][1:] - amGrid[i][amGrid[i]<self.stdMaxAirmass][:-1])) # how much airmass changes in average
for j,am in enumerate(amObs):
# Mark positions where target is at specified airmass
if j == 0:
obsMask[i] = np.bitwise_or(obsMask[i],amGrid[i] == am)
else:
obsMask[i] = np.bitwise_or(obsMask[i],np.bitwise_and(amGrid[i]>am-dam,amGrid[i]<am+dam))
#print amGrid[i][np.where(obsMask[i])]
#
# Now it is time to actually select the targets. It will start with the first target and then try the others
# until it find enough standard stars, as specified by the user.
#
# Para cada bin em tempo, varro o bin em massa de ar por coisas observaveis. Se acho um, vejo se posso agendar
# os outros bins. Se sim, marco o alvo para observacao, se nao, passo para o proximo. Repito ate completar a
# lista de alvos
#
obsMaskTimeGrid = np.zeros(len(obsStandars),dtype=np.bool)
nrequests = 0
reqId = np.zeros(nstars,dtype=np.int)-1
for tbin,time in enumerate(self.obsTimeBins[:-1]):
# Evaluates if time slots are all available. If yes, mark orbservation and ocuppy slots.
if ( (not obsMaskTimeGrid[obsMask[tbin]].any()) and (len(amGrid[tbin][obsMask[tbin]])>=nairmass) ):
obsMaskTimeGrid = np.bitwise_or(obsMaskTimeGrid,obsMask[tbin])
reqId[nrequests] = tbin
nrequests += 1
if nrequests >= nstars:
break
# Finally, requesting observations
for id in reqId[reqId >= 0]:
target = session.query(Targets).filter(Targets.id == obsStandars[id])[0]
secz = amGrid[id][obsMask[id]]
seczreq = np.zeros(nairmass,dtype=np.bool)
amObs = np.linspace(amGrid[id].min(),self.stdMaxAirmass,nairmass) # requested aimasses
for i,obstime in enumerate(self.obsTimeBins[obsMask[id]]):
sindex = np.abs(amObs-secz[i]).argmin()
if not seczreq[sindex]:
log.info('Requesting observations of %s @airmass=%4.2f @mjd=%.3f...'%(target.name,secz[i],obstime-2400000.5))
seczreq[sindex] = True
target.scheduled = True
session.commit()
self.addObservation(target,obstime)
self.obsTimeMask[obsMask[id]] = 1.0
#print self.obsTimeBins[obsMask[id]]
#print
#print i
return 0 #targets
def selectStandardTargets(self, nstars=3, nairmass=3):
'''
Based on configuration parameters, select 'nstars' standard stars to run scheduler on a specified Julian Day. Ideally you
will select standard stars before your science targets so not to have a full queue. Usually standard stars are observed
more than once a night at different airmasses. The user can control this parameter with nairmass and the script will try
to take care of the rest.
'''
session = Session()
# First of all, standard stars can be obsered multiple times in sucessive nights. I will mark all
# stars an unscheduled.
targets = session.query(Targets).filter(
Targets.scheduled == True).filter(Targets.type == self.stdFlag)
for target in targets:
target.scheduled = False
session.commit()
# [To be done] Reject objects that are close to the moon
# Selecting standard stars is not only searching for the higher in that time but select stars than can be observed at 3
# or more (nairmass) different airmasses. It is also important to select stars with different colors (but this will be
# taken care in the future).
if nairmass * nstars > len(self.obsTimeBins):
log.warning(
'Requesting more stars/observations than it will be possible to schedule. Decreasing number of requests to fit in the night.'
)
nstars = len(self.obsTimeBins) / nairmass
obsStandars = np.zeros(len(
self.obsTimeBins)) - 1 # first selection of observable standards
for tbin, time in enumerate(self.obsTimeBins):
if self.obsTimeMask[tbin] < 1.0:
# 1 - Select objects from database that where not scheduled yet (standard stars may be repited)
# that fits our observing night
targets = session.query(Targets).filter(
Targets.scheduled == 0).filter(
Targets.type == self.stdFlag)
lst = _skysub.lst(time, self.sitelong) #*360./24.
alt = np.array([
_skysub.altit(target.targetDec, lst - target.targetRa,
self.sitelat)[0] for target in targets
])
stg = alt.argmax()
log.info('Selecting %s' % (targets[stg]))
# Marking target as schedule
tst = session.query(Targets).filter(
Targets.id == targets[stg].id)
for t in tst:
t.scheduled = True
session.commit()
obsStandars[tbin] = t.id
else:
log.info(
'Bin already filled up with observations. Skipping...')
if len(obsStandars[obsStandars >= 0]) < nstars:
log.warning(
'Could not find %i suitable standard stars in catalog. Only %i where found.'
% (nstars, len(obsStandars[obsStandars >= 0])))
#
# Unmarking potential targets as scheduled
#
for id in obsStandars[obsStandars >= 0]:
target = session.query(Targets).filter(Targets.id == id)
for t in target:
t.scheduled = False
session.commit()
tbin += 1
#
# Preparing a grid of altitudes for each target for each observing window
#
amGrid = np.zeros(len(obsStandars) * len(obsStandars)).reshape(
len(obsStandars), len(obsStandars))
for i in np.arange(len(obsStandars))[obsStandars >= 0]:
target = session.query(Targets).filter(
Targets.id == obsStandars[i])[0]
for j in range(len(obsStandars)):
lst = _skysub.lst(self.obsTimeBins[j], self.sitelong)
amGrid[i][j] = _skysub.true_airmass(
_skysub.secant_z(
_skysub.altit(target.targetDec, lst - target.targetRa,
self.sitelat)[0]))
if amGrid[i][j] < 0:
amGrid[i][j] = 99.
#
# Build a grid mask that specifies the position in time each target should be observed. This means that, when
# selecting a single target we ocuppy more than one, non consecutive, position in the night. This grid shows where are these
# positions.
#
obsMask = np.zeros(len(obsStandars) * len(obsStandars),
dtype=np.bool).reshape(len(obsStandars),
len(obsStandars))
for i in np.arange(len(obsStandars))[obsStandars >= 0]:
amObs = np.linspace(amGrid[i].min(), self.stdMaxAirmass,
nairmass) # requested aimasses
dam = np.mean(
np.abs(amGrid[i][amGrid[i] < self.stdMaxAirmass][1:] -
amGrid[i][amGrid[i] < self.stdMaxAirmass][:-1])
) # how much airmass changes in average
for j, am in enumerate(amObs):
# Mark positions where target is at specified airmass
if j == 0:
obsMask[i] = np.bitwise_or(obsMask[i], amGrid[i] == am)
else:
obsMask[i] = np.bitwise_or(
obsMask[i],
np.bitwise_and(amGrid[i] > am - dam,
amGrid[i] < am + dam))
#print amGrid[i][np.where(obsMask[i])]
#
# Now it is time to actually select the targets. It will start with the first target and then try the others
# until it find enough standard stars, as specified by the user.
#
# Para cada bin em tempo, varro o bin em massa de ar por coisas observaveis. Se acho um, vejo se posso agendar
# os outros bins. Se sim, marco o alvo para observacao, se nao, passo para o proximo. Repito ate completar a
# lista de alvos
#
obsMaskTimeGrid = np.zeros(len(obsStandars), dtype=np.bool)
nrequests = 0
reqId = np.zeros(nstars, dtype=np.int) - 1
for tbin, time in enumerate(self.obsTimeBins[:-1]):
# Evaluates if time slots are all available. If yes, mark orbservation and ocuppy slots.
if ((not obsMaskTimeGrid[obsMask[tbin]].any())
and (len(amGrid[tbin][obsMask[tbin]]) >= nairmass)):
obsMaskTimeGrid = np.bitwise_or(obsMaskTimeGrid, obsMask[tbin])
reqId[nrequests] = tbin
nrequests += 1
if nrequests >= nstars:
break
# Finally, requesting observations
for id in reqId[reqId >= 0]:
target = session.query(Targets).filter(
Targets.id == obsStandars[id])[0]
secz = amGrid[id][obsMask[id]]
seczreq = np.zeros(nairmass, dtype=np.bool)
amObs = np.linspace(amGrid[id].min(), self.stdMaxAirmass,
nairmass) # requested aimasses
for i, obstime in enumerate(self.obsTimeBins[obsMask[id]]):
sindex = np.abs(amObs - secz[i]).argmin()
if not seczreq[sindex]:
log.info(
'Requesting observations of %s @airmass=%4.2f @mjd=%.3f...'
% (target.name, secz[i], obstime - 2400000.5))
seczreq[sindex] = True
target.scheduled = True
session.commit()
self.addObservation(target, obstime)
self.obsTimeMask[obsMask[id]] = 1.0
#print self.obsTimeBins[obsMask[id]]
#print
#print i
return 0 #targets