def get_most_recent_dataset(conn):
dsid_dicts = dbutils.columns_from_table(conn,
table='dataset',
keywords=['id'],
alias={'id':'datasetid'},
where=None)
return dsid_dicts[-1]['datasetid']
def gather_source_info(runcatid, conn):
"""
Pulls information from extracted sources which have
been marked as associated together, and tagged with this
running catalog id.
Returns: A tuple,
( ra_std_dev, dec_std_dev)
Logic:
-Grab all the xtrsrc ids associated with this runcatid
-Get the corresponding entries from extractedsource
-Calculate std. deviation etc.
"""
assocxtrsrc_entries = dbutils.columns_from_table(conn,
table='assocxtrsource',
keywords = ['xtrsrc'],
where = {'runcat': runcatid}
)
xtrsrc_ids = [entry['xtrsrc'] for entry in assocxtrsrc_entries]
extractedsources=[]
#This bit in particular is horribly horribly inefficient,
# as it stands. Oh well.
for id in xtrsrc_ids:
extractedsources.extend(
dbutils.columns_from_table(conn,
table='extractedsource',
where={'id':id}
)
)
# print "Extracted sources:"
# for src in extractedsources:
# print src
ra_list = [src['ra'] for src in extractedsources]
dec_list = [src['decl'] for src in extractedsources]
src_info = {'runcat':runcatid,
'ra': numpy.mean(ra_list),
'dec': numpy.mean(dec_list),
'ra_sd':numpy.std(ra_list),
'dec_sd':numpy.std(dec_list)
}
return src_info