def main():
alert_ids = GenerateCameraAlertStream( alert_num=1 )
alert_id = alert_ids[ 0 ]
alert = ConstructAlertFromID( alert_id, 'E' )
try:
alert.CA.P.value = 'abc'
except TypeError:
print( 'TypeError caught because we are assigning an incompatible type of value!' )
## Suppose we first compute P value with lower confidence.
alert.CA.P.value = ComputeP()
alert.CA.P.confidence = 0.4
alert.CA.P.annotation = 'Computed with low confidence'
## Later we compute P value with higher confidence, this will
## be the most-recently computed value for P. But the previous one
## will still be kept with its timpstamp.
alert.CA.P.value = ComputeP()
alert.CA.P.confidence = 1.0
alert.CA.P.annotation = 'Computed with high confidence'
# This will show the most-recently computed value.
print( alert )
# This will print out all the computed values for P and their timestamps.
print( alert.CA.P.history )
def main():
alert_ids = GenerateCameraAlertStream(2)
for alert_id in alert_ids:
alert = ConstructAlertFromID(alert_id, 'E')
lightcurve = alert.LA.assembleTimeSeries_cameraAlerts(
'CA', 'Magnitude')
print(lightcurve)
def main():
alert_ids = GenerateFakeAlerts()
for alert_id in alert_ids:
print(alert_id)
alert = ConstructAlertFromID(alert_id, 'E')
print(alert)
lightcurve = alert.LA.assembleTimeSeries_cameraAlerts(
'CA', 'Magnitude')
print(lightcurve)
print('P=', alert.CA.P.value)
def main():
alert_ids = GenerateCameraAlertStream(alert_num=1)
alert_id = alert_ids[0]
alert = ConstructAlertFromID(alert_id, 'E')
print(alert)
## Create a replica with an associated astro object.
replica_id1 = alert.createReplica(astro_id=17249)
print('Created replica {0}'.format(replica_id1))
## Construct replica object given ID
replica1 = ConstructAlertFromID(replica_id1, 'R')
print(replica1)
## Create another replica without an associated astro object.
replica_id2 = alert.createReplica()
print('Created replica {0}'.format(replica_id2))
## Construct replica object given ID
replica2 = ConstructAlertFromID(replica_id2, 'R')
replica2.commit()
print(replica2)
def main():
alert_ids = GenerateCameraAlertStream( alert_num=1 )
alert_id = alert_ids[ 0 ]
alert = ConstructAlertFromID( alert_id, 'E' )
print( alert )
## Create a replica with an associated astro object.
replica_id = alert.createReplica( astro_id=17249 )
print( 'Created replica {0}'.format(replica_id) )
## Construct replica object given ID
replica = ConstructAlertFromID( replica_id, 'R' )
#print( replica )
# ## Create another replica from the current replica
# replica_replica_id = replica.createReplica()
# print( 'Created replica {0}'.format(replica_replica_id) )
# ## Construct replica object given ID
# replica = ConstructAlertFromID( replica_replica_id, 'R' )
# print( replica )
parents = []
for i in range(0, 4):
replica_replica_id = replica.createReplica()
#print( replica.parent.__repr__() )
parents.append( replica.parent )
print( 'Replica ID: ', replica_replica_id )
## Construct replica object given ID
replica = ConstructAlertFromID( replica_replica_id, 'R' )
#print( replica )
if parents[0] == parents[1]:
print( 'Same object' )
else:
print( 'Different object' )
def main():
alert_ids = GenerateCameraAlertStream(alert_num=5)
for alert_id in alert_ids:
alert = ConstructAlertFromID(alert_id, 'E')
## This is the recommended way of getting ra/dec for an alert:
## directly from alert.
ra = alert.ra
decl = alert.decl
print('alert {0}: ra={1}, dec={2}'.format(alert.ID, ra, decl))
## This is not recommended: too verbose and multiple level of references.
ra = alert.CA.RA.value
decl = alert.CA.Decl.value
print('alert {0}: ra={1}, dec={2}'.format(alert.ID, ra, decl))
def main():
alert_ids = GenerateCameraAlertStream(alert_num=1)
alert_id = alert_ids[0]
alert = ConstructAlertFromID(alert_id, 'E')
print(alert)
## Create a replica with an associated astro object.
replica_id1 = alert.createReplica(astro_id=17249)
print('Created replica {0}'.format(replica_id1))
## Construct replica object given ID
replica1 = ConstructAlertFromID(replica_id1, 'R', alert)
replica1.mark_as_rare('Replica1 is rare')
## Create another replica without an associated astro object.
replica_id2 = alert.createReplica()
print('Created replica {0}'.format(replica_id2))
## Construct replica object given ID
replica2 = ConstructAlertFromID(replica_id2, 'R', alert)
replica2.mark_as_rare('Replica2 is rare')
#print( alert.get_annotation() )
print(alert.annotation)
def main():
alert_ids = GenerateCameraAlertStream(alert_num=1)
alert_id = alert_ids[0]
alert = ConstructAlertFromID(alert_id, 'E')
## Compute P value with lower confidence.
alert.CA.P.value = ComputeP()
alert.CA.P.confidence = 0.4
alert.CA.P.annotation = 'Computed with low confidence'
#print( alert )
alert.commit()
# Second commit won't write DB since everything is synced now.
alert.commit()
def main():
alert_ids = GenerateCameraAlertStream( alert_num=5 )
for alert_id in alert_ids:
print( alert_id )
alert = ConstructAlertFromID( alert_id, 'E' )
print( alert )
lightcurve = alert.LA.assembleTimeSeries_cameraAlerts( "CA", "Magnitude" )
vals = lightcurve.values # ndarray
stdev = np.std( vals )
return stdev
if __name__ == '__main__':
sys.path.append( '../' )
from antares.helper import GenerateFakeAlerts
from antares.helper import ConstructAlertFromID
## Construct a camera alert.
alert_ids = GenerateFakeAlerts()
alert_id = alert_ids[ 1 ]
alert = ConstructAlertFromID( alert_id, 'E' )
replica_id = alert.createReplica()
print( 'Created replica {0}'.format(replica_id) )
## Construct replica object given ID
replica = ConstructAlertFromID( replica_id, 'R' )
replica.CA.P.value = derivePeriod( replica )
replica.CA.A.value = deriveAmplitude( replica )
replica.CA.mmed.value = deriveMmed( replica )
replica.CA.kurt.value = deriveKurt( replica )
replica.CA.stdev.value = deriveStdev( replica )
print( 'Replica {0} of camera alert {1}'.format(replica.ID, replica.parent.ID) )
print( replica.CA.P.value, replica.CA.A.value, replica.CA.mmed.value, replica.CA.stdev.value, replica.CA.kurt.value )