def __init__(self, job_info):
ARDADashboardLCG.__init__(self, job_info)
if self._complete == False:
return
self._complete = False
if type(job_info) is DictionaryType:
# we are on the worker node
try:
self._complete = True
except KeyError,msg:
return
def __init__(self, job_info):
ARDADashboardLCG.__init__(self, job_info)
if self._complete == False:
return
self._complete = False
if type(job_info) is DictionaryType:
# we are on the worker node
try:
self.application = job_info["application"]
self.applicationVersion = job_info["applicationVersion"]
self.dataset = job_info["dataset"][0]
self.activity = job_info["activity"]
self._complete = True
except KeyError, msg:
return
def __init__(self, job_info):
ARDADashboardLCG.__init__(self, job_info)
if self._complete == False:
return
self._complete = False
if isinstance(job_info, DictionaryType):
# we are on the worker node
try:
self.application = job_info['application']
self.applicationVersion = job_info['applicationVersion']
self.dataset = job_info['dataset'][0]
self.activity = job_info['activity']
self._complete = True
except KeyError as msg:
return
else:
# we are on the client. We get the info from the job_info
# (which is a job)
job = job_info
self.application = job.application._name
try:
self.applicationVersion = job.application.atlas_release
except AttributeError:
self.applicationVersion = ''
# activity
if self.application in ['Athena', 'AthenaMC', 'AMAAthena']:
self.activity = 'analysis'
else:
activity = 'unknown'
# dataset name
try:
self.dataset = job.inputdata.dataset[0]
except AttributeError:
self.dataset = 'unknown'
except IndexError:
self.dataset = 'unknown'
self._complete = True
def __init__(self, job_info):
ARDADashboardLCG.__init__(self, job_info)
if self._complete == False:
return
self._complete = False
if isinstance(job_info, DictionaryType):
# we are on the worker node
try:
self._complete = True
except KeyError as msg:
return
else:
# we are on the client. We get the info from the job_info
# (which is a job)
self._complete = True
def getJobInfo(self):
if self._complete:
job_info = ARDADashboardLCG.getJobInfo(self)
job_info["application"] = self.application
job_info["applicationVersion"] = self.applicationVersion
job_info["dataset"] = self.dataset
job_info["activity"] = self.activity
self._logger.debug(job_info)
return job_info
else:
self._logger.debug("incomplete job info")
return {}
def getJobInfo(self):
if self._complete:
job_info = ARDADashboardLCG.getJobInfo(self)
job_info['application'] = self.application
job_info['applicationVersion'] = self.applicationVersion
job_info['dataset'] = self.dataset
job_info['activity'] = self.activity
self._logger.debug(job_info)
return job_info
else:
self._logger.debug('incomplete job info')
return {}
def getSandboxModules(self):
import Ganga.Lib.MonitoringServices.ARDADashboard.LCG
return ARDADashboardLCG.getSandboxModules(self) + [Ganga.Lib.MonitoringServices.ARDADashboard.LCG.ARDADashboardLCGExecutable]
