gwchannel = config.get('general', 'gwchannel')
classifiers = config.get('general', 'classifiers').split()
vetolist_cache = config.get('general', 'ovl_train_cache')
unsafe_win = float(config.get('idq_realtime', 'clean_window'))
columns = config.get('idq_realtime', 'dat_columns').split() + ['rank']
kwtrgdir = config.get('general', 'kwtrgdir')
kde_num_samples = int(config.get('idq_summary', 'kde_num_samples'))
### kleineWelle config
kwconfig = idq.loadkwconfig(config.get('general', 'kwconfig'))
kwbasename = kwconfig['basename']
#=================================================
### set classifier colors and labels
classifier_colors = [idq_s_p.classifier_colors(classifier) for classifier in classifiers]
classifier_labels = [idq_s_p.classifier_labels(classifier) for classifier in classifiers]
#=================================================
### set up ROBOT certificates
### IF ligolw_segement_query FAILS, THIS IS A LIKELY CAUSE
if opts.no_robot_cert:
logger.info("Warning: running without a robot certificate. Your personal certificate may expire and this job may fail")
else:
### unset ligo-proxy just in case
if os.environ.has_key("X509_USER_PROXY"):
filetag = "_%s" % (tag)
else:
filetag = ""
realtimedir = config.get('general', 'realtimedir')
traindir = config.get('general', 'traindir')
calibrationdir = config.get('general', 'calibrationdir')
gdbdir = config.get('gdb general', 'main_gdb_dir')
gwchannel = config.get('general', 'gwchannel')
if not opts.KWsignifThr:
opts.KWsignifThr.append(config.getfloat('general', 'gw_kwsignif_thr'))
GWkwconfig = idq.loadkwconfig(config.get('data_discovery', 'GWkwconfig'))
GWkwbasename = GWkwconfig['basename']
GWgdsdir = config.get('data_discovery', 'GWgdsdir')
kwstride = int(float(GWkwconfig['stride']))
if not opts.skip_gracedb_upload:
if config.has_option('gdb general', 'gdb_url'):
gracedb = GraceDb(config.get('gdb general', 'gdb_url'))
else:
gracedb = GraceDb()
if config.has_option(opts.classifier, 'plotting_label'):
plotting_label = config.get(opts.classifier, 'plotting_label')
else:
plotting_label = opts.classifier
dq_name = config.get('get_science_segments', 'include')
# dq_name = config.get('get_science_segments', 'include').split(':')[1]
segdb_url = config.get('get_science_segments', 'segdb')
else:
dq_name = None ### needs to be defined
### set up content handler for xml files
lsctables.use_in(ligolw.LIGOLWContentHandler)
### define the gravitational wave channel/what is a glitch
gwchannel = config.get('general', 'gwchannel')
gwthreshold = config.getfloat('general', 'gw_kwsignif_thr')
### kleineWelle config
GWkwconfigpath = config.get('data_discovery', 'GWkwconfig')
GWkwconfig = idq.loadkwconfig(GWkwconfigpath)
GWkwbasename = GWkwconfig['basename']
GWgdsdir = config.get('data_discovery', 'GWgdsdir')
GWkwstride = int(float(GWkwconfig['stride']))
GWkwtrgdir = "%s/%s"%(GWgdsdir, GWkwbasename)
AUXkwconfigpath = config.get('data_discovery', 'AUXkwconfig')
AUXkwconfig = idq.loadkwconfig(AUXkwconfigpath)
AUXkwbasename = AUXkwconfig['basename']
AUXgdsdir = config.get('data_discovery', 'AUXgdsdir')
AUXkwstride = int(float(AUXkwconfig['stride']))
AUXkwtrgdir = "%s/%s"%(AUXgdsdir, AUXkwbasename)
identical_trgfile = (GWgdsdir == AUXgdsdir) and (GWkwbasename == AUXkwbasename) ### used to avoid re-loading the same file for both GW and AUX triggers
dq_name = config.get('get_science_segments', 'include')
# dq_name = config.get('get_science_segments', 'include').split(':')[1]
segdb_url = config.get('get_science_segments', 'segdb')
else:
dq_name = None ### needs to be defined
### set up content handler for xml files
lsctables.use_in(ligolw.LIGOLWContentHandler)
### define the gravitational wave channel/what is a glitch
gwchannel = config.get('general', 'gwchannel')
gwthreshold = config.getfloat('general', 'gw_kwsignif_thr')
### kleineWelle config
GWkwconfigpath = config.get('data_discovery', 'GWkwconfig')
GWkwconfig = idq.loadkwconfig(GWkwconfigpath)
GWkwbasename = GWkwconfig['basename']
GWgdsdir = config.get('data_discovery', 'GWgdsdir')
GWkwstride = int(float(GWkwconfig['stride']))
GWkwtrgdir = "%s/%s" % (GWgdsdir, GWkwbasename)
AUXkwconfigpath = config.get('data_discovery', 'AUXkwconfig')
AUXkwconfig = idq.loadkwconfig(AUXkwconfigpath)
AUXkwbasename = AUXkwconfig['basename']
AUXgdsdir = config.get('data_discovery', 'AUXgdsdir')
AUXkwstride = int(float(AUXkwconfig['stride']))
AUXkwtrgdir = "%s/%s" % (AUXgdsdir, AUXkwbasename)
identical_trgfile = (GWgdsdir == AUXgdsdir) and (
#================================================================================================
### read global configuration file
config = ConfigParser.SafeConfigParser()
config.read(opts.config)
### define the gravitational wave channel/what is a glitch
gwchannel = config.get('general', 'gwchannel')
if opts.threshold:
gwthreshold = opts.threshold
else:
gwthreshold = config.getfloat('general', 'gw_kwsignif_thr')
### kleineWelle config
GWkwconfigpath = config.get('data_discovery', 'GWkwconfig')
GWkwconfig = idq.loadkwconfig(GWkwconfigpath)
GWkwbasename = GWkwconfig['basename']
GWgdsdir = config.get('data_discovery', 'GWgdsdir')
GWkwstride = int(float(GWkwconfig['stride']))
col_kw = {
'tstart': 0,
'tstop': 1,
'tcent': 2,
'fcent': 3,
'uenergy': 4,
'nenergy': 5,
'npix': 6,
'signif': 7,
}
col = col_kw.copy()
filetag = "_%s"%(tag)
else:
filetag = ""
realtimedir = config.get('general','realtimedir')
traindir = config.get('general','traindir')
calibrationdir = config.get('general','calibrationdir')
gdbdir = config.get('gdb general','main_gdb_dir')
gwchannel = config.get('general', 'gwchannel')
if not opts.KWsignifThr:
opts.KWsignifThr.append( config.getfloat('general', 'gw_kwsignif_thr') )
GWkwconfig = idq.loadkwconfig(config.get('data_discovery', 'GWkwconfig'))
GWkwbasename = GWkwconfig['basename']
GWgdsdir = config.get('data_discovery', 'GWgdsdir')
kwstride = int(float(GWkwconfig['stride']))
if not opts.skip_gracedb_upload:
if config.has_option('gdb general', 'gdb_url'):
gracedb = GraceDb(config.get('gdb general', 'gdb_url'))
else:
gracedb = GraceDb()
if config.has_option(opts.classifier, 'plotting_label'):
plotting_label = config.get(opts.classifier, 'plotting_label')
else:
plotting_label = opts.classifier
