class RunContext(object):
def __init__(self, ert_handle, size, run_fs, run_count):
self.ert_handle = ert_handle
self.size = size
self.runner = ert_handle.getEnkfSimulationRunner()
site_config = self.ert_handle.siteConfig()
self.queue_manager = JobQueueManager(site_config.getJobQueue())
self.queue_manager.startQueue(size, verbose=True)
mask = BoolVector(default_value=True)
mask[size - 1] = True
self.ert_handle.addDataKW("<ELCO_RUN_COUNT>", "%s" % run_count)
self.ert_run_context = self.ert_handle.getRunContextENSEMPLE_EXPERIMENT(
run_fs, mask)
def isRunning(self):
return self.queue_manager.isRunning()
def getNumRunning(self):
return self.queue_manager.getNumRunning()
def getNumComplete(self):
return self.queue_manager.getNumComplete()
def startSimulation(self, iens):
self.ert_handle.submitSimulation(self.ert_run_context.iensGet(iens))
def realisationComplete(self, iens):
run_arg = self.ert_run_context.iensGet(iens)
queue_index = run_arg.getQueueIndex()
return self.queue_manager.jobComplete(queue_index)
class RunContext(object):
def __init__(self , ert_handle , size , run_fs , run_count):
self.ert_handle = ert_handle
self.size = size
self.runner = ert_handle.getEnkfSimulationRunner()
site_config = self.ert_handle.siteConfig()
self.queue_manager = JobQueueManager( site_config.getJobQueue() )
self.queue_manager.startQueue( size , verbose = True )
mask = BoolVector( default_value = True )
mask[size - 1] = True
self.ert_handle.addDataKW("<ELCO_RUN_COUNT>" , "%s" % run_count)
self.ert_run_context = self.ert_handle.getRunContextENSEMPLE_EXPERIMENT( run_fs , mask )
def isRunning(self):
return self.queue_manager.isRunning()
def getNumRunning(self):
return self.queue_manager.getNumRunning()
def getNumSuccess(self):
return self.queue_manager.getNumSuccess()
def getNumFailed(self):
return self.queue_manager.getNumFailed()
def startSimulation(self , iens):
self.ert_handle.submitSimulation( self.ert_run_context.iensGet( iens ))
def realisationSuccess(self, iens):
run_arg = self.ert_run_context.iensGet( iens )
queue_index = run_arg.getQueueIndex()
return self.queue_manager.jobSuccess( queue_index )
def realisationFailed(self, iens):
run_arg = self.ert_run_context.iensGet( iens )
queue_index = run_arg.getQueueIndex()
return self.queue_manager.jobFailed( queue_index )
def realisationRunning(self, iens):
run_arg = self.ert_run_context.iensGet( iens )
queue_index = run_arg.getQueueIndex()
if self.queue_manager.jobRunning( queue_index ) or self.queue_manager.jobWaiting( queue_index ):
return True
else:
return False
class SimulationContext(object):
def __init__(self, ert, size, verbose=False):
self._ert = ert
""" :type: ert.enkf.EnKFMain """
self._size = size
max_runtime = ert.analysisConfig().get_max_runtime()
job_queue = ert.siteConfig().getJobQueue()
job_queue.set_max_job_duration(max_runtime)
self._queue_manager = JobQueueManager(job_queue)
self._queue_manager.startQueue(size, verbose=verbose)
self._run_args = {}
""" :type: dict[int, RunArg] """
self._thread_pool = CThreadPool(8)
self._thread_pool.addTaskFunction("submitJob", ENKF_LIB, "enkf_main_isubmit_job__")
def addSimulation(self, iens, target_fs):
if iens >= self._size:
raise UserWarning("Realization number out of range: %d >= %d" % (iens, self._size))
if iens in self._run_args:
raise UserWarning("Realization number: '%d' already queued" % iens)
runpath_fmt = self._ert.getModelConfig().getRunpathFormat()
member = self._ert.getRealisation(iens)
runpath = ErtRunContext.createRunpath(iens , runpath_fmt, member.getDataKW( ))
run_arg = RunArg.createEnsembleExperimentRunArg(target_fs, iens, runpath)
self._ert.createRunPath(run_arg)
self._run_args[iens] = run_arg
self._thread_pool.submitJob(ArgPack(self._ert, run_arg))
def isRunning(self):
return self._queue_manager.isRunning()
def getNumRunning(self):
return self._queue_manager.getNumRunning()
def getNumSuccess(self):
return self._queue_manager.getNumSuccess()
def getNumFailed(self):
return self._queue_manager.getNumFailed()
def getNumWaiting(self):
return self._queue_manager.getNumWaiting()
def didRealizationSucceed(self, iens):
queue_index = self._run_args[iens].getQueueIndex()
return self._queue_manager.didJobSucceed(queue_index)
def didRealizationFail(self, iens):
# For the purposes of this class, a failure should be anything (killed job, etc) that is not an explicit success.
return not self.didRealizationSucceed(iens)
def isRealizationQueued(self, iens):
return iens in self._run_args
def isRealizationFinished(self, iens):
run_arg = self._run_args[iens]
if run_arg.isSubmitted():
queue_index = run_arg.getQueueIndex()
return self._queue_manager.isJobComplete(queue_index)
else:
return False
def __repr__(self):
running = 'running' if self.isRunning() else 'not running'
numRunn = self.getNumRunning()
numSucc = self.getNumSuccess()
numFail = self.getNumFailed()
numWait = self.getNumWaiting()
fmt = '%s, #running = %d, #success = %d, #failed = %d, #waiting = %d'
fmt = fmt % (running, numRunn, numSucc, numFail, numWait)
return 'SimulationContext(%s)' % fmt
class SimulationContext(object):
def __init__(self, ert, size, verbose=False):
self._ert = ert
""" :type: ert.enkf.EnKFMain """
self._size = size
self._queue_manager = JobQueueManager(ert.siteConfig().getJobQueue())
self._queue_manager.startQueue(size, verbose=verbose)
self._run_args = {}
""" :type: dict[int, RunArg] """
self._thread_pool = CThreadPool(8)
self._thread_pool.addTaskFunction("submitJob", ENKF_LIB,
"enkf_main_isubmit_job__")
def addSimulation(self, iens, target_fs):
if iens >= self._size:
raise UserWarning("Realization number out of range: %d >= %d" %
(iens, self._size))
if iens in self._run_args:
raise UserWarning("Realization number: '%d' already queued" % iens)
runpath_fmt = self._ert.getModelConfig().getRunpathFormat()
member = self._ert.getRealisation(iens)
runpath = ErtRunContext.createRunpath(iens, runpath_fmt,
member.getDataKW())
run_arg = RunArg.createEnsembleExperimentRunArg(
target_fs, iens, runpath)
self._ert.createRunPath(run_arg)
self._run_args[iens] = run_arg
self._thread_pool.submitJob(ArgPack(self._ert, run_arg))
def isRunning(self):
return self._queue_manager.isRunning()
def getNumRunning(self):
return self._queue_manager.getNumRunning()
def getNumSuccess(self):
return self._queue_manager.getNumSuccess()
def getNumFailed(self):
return self._queue_manager.getNumFailed()
def getNumWaiting(self):
return self._queue_manager.getNumWaiting()
def didRealizationSucceed(self, iens):
queue_index = self._run_args[iens].getQueueIndex()
return self._queue_manager.didJobSucceed(queue_index)
def didRealizationFail(self, iens):
queue_index = self._run_args[iens].getQueueIndex()
return self._queue_manager.didJobFail(queue_index)
def isRealizationQueued(self, iens):
return iens in self._run_args
def isRealizationFinished(self, iens):
run_arg = self._run_args[iens]
if run_arg.isSubmitted():
queue_index = run_arg.getQueueIndex()
return self._queue_manager.isJobComplete(queue_index)
else:
return False
queue_manager = JobQueueManager( site_config.getJobQueue( ) )
queue_manager.startQueue( ert.getEnsembleSize( ) , verbose = False )
# Create list of RunArg instances which hold metadata for one running
# realisation, create the directory where the simulation should run
# and submit the simulation.
path_fmt = "/tmp/run%d"
arg_list = [ RunArg.createEnsembleExperimentRunArg(fs, iens, path_fmt % iens) for iens in range(ert.getEnsembleSize()) ]
for arg in arg_list:
ert.createRunPath( arg )
ert.submitSimulation( arg )
while True:
print("Waiting:%d Running:%d Complete:%d/%d" % (queue_manager.getNumWaiting( ), queue_manager.getNumRunning( ) , queue_manager.getNumSuccess() , queue_manager.getNumFailed( )))
if not queue_manager.isRunning( ):
break
time.sleep( 5 )
ens_config = ert.ensembleConfig( )
data_config = ens_config["SNAKE_OIL_OPR_DIFF"]
param_config = ens_config["SNAKE_OIL_PARAM"]
for iens in range(ert.getEnsembleSize( )):
data_id = NodeId( realization_number = iens,
report_step = 199 )
enkf_node1 = EnkfNode( data_config )
enkf_node1.load( fs , data_id )
gen_data = enkf_node1.asGenData( )
data = gen_data.getData( )
# Create list of RunArg instances which hold metadata for one running
# realisation, create the directory where the simulation should run
# and submit the simulation.
path_fmt = "/tmp/run%d"
arg_list = [
RunArg.createEnsembleExperimentRunArg(fs, iens, path_fmt % iens)
for iens in range(ert.getEnsembleSize())
]
for arg in arg_list:
ert.createRunPath(arg)
ert.submitSimulation(arg)
while True:
print("Waiting:%d Running:%d Complete:%d/%d" %
(queue_manager.getNumWaiting(), queue_manager.getNumRunning(),
queue_manager.getNumSuccess(), queue_manager.getNumFailed()))
if not queue_manager.isRunning():
break
time.sleep(5)
ens_config = ert.ensembleConfig()
data_config = ens_config["SNAKE_OIL_OPR_DIFF"]
param_config = ens_config["SNAKE_OIL_PARAM"]
for iens in range(ert.getEnsembleSize()):
data_id = NodeId(realization_number=iens, report_step=199)
enkf_node1 = EnkfNode(data_config)
enkf_node1.load(fs, data_id)
gen_data = enkf_node1.asGenData()
data = gen_data.getData()
class RunContext(object):
def __init__(self , ert_handle , size , run_fs , run_count):
self.ert_handle = ert_handle
self.size = size
self.runner = ert_handle.getEnkfSimulationRunner()
site_config = self.ert_handle.siteConfig()
self.queue_manager = JobQueueManager( site_config.getJobQueue() )
self.queue_manager.startQueue( size , verbose = True )
mask = BoolVector( default_value = True )
mask[size - 1] = True
self.ert_handle.addDataKW("<ELCO_RUN_COUNT>" , "%s" % run_count)
self.ert_run_context = self.ert_handle.getRunContextENSEMPLE_EXPERIMENT( run_fs , mask )
self.thread_pool = CThreadPool( 8 )
self.submit_func = CThreadPool.lookupCFunction( ENKF_LIB , "enkf_main_isubmit_job__" )
def isRunning(self):
return self.queue_manager.isRunning()
def getNumRunning(self):
return self.queue_manager.getNumRunning()
def getNumSuccess(self):
return self.queue_manager.getNumSuccess()
def getNumFailed(self):
return self.queue_manager.getNumFailed()
def startSimulation(self , iens):
member_context = self.ert_run_context.iensGet( iens )
arg = ArgPack( self.ert_handle , member_context )
self.thread_pool.addTask( self.submit_func , arg )
def realisationSuccess(self, iens):
run_arg = self.ert_run_context.iensGet( iens )
queue_index = run_arg.getQueueIndex()
return self.queue_manager.jobSuccess( queue_index )
def realisationFailed(self, iens):
run_arg = self.ert_run_context.iensGet( iens )
queue_index = run_arg.getQueueIndex()
return self.queue_manager.jobFailed( queue_index )
# Running is slightly misleading; we have three catogories:
# Complete, Failed, and "Running". Running in this context is
# actually the 'the rest', and includes jobs in all sorts of
# waiting.
def realisationRunning(self, iens):
run_arg = self.ert_run_context.iensGet( iens )
if run_arg.isSubmitted():
queue_index = run_arg.getQueueIndex()
if self.queue_manager.jobRunning( queue_index ) or self.queue_manager.jobWaiting( queue_index ):
return True
else:
return False
else:
return True
def exportRunpathList(self):
runpath_list = self.ert_handle.getRunpathList( )
runpath_list.export( )
class SimulationContext(object):
def __init__(self, ert, size, verbose=False):
self._ert = ert
""" :type: ert.enkf.EnKFMain """
self._size = size
self._queue_manager = JobQueueManager(ert.siteConfig().getJobQueue())
self._queue_manager.startQueue(size, verbose=verbose)
self._run_args = {}
""" :type: dict[int, RunArg] """
self._thread_pool = CThreadPool(8)
self._thread_pool.addTaskFunction("submitJob", ENKF_LIB, "enkf_main_isubmit_job__")
def addSimulation(self, iens, target_fs):
if iens >= self._size:
raise UserWarning("Realization number out of range: %d >= %d" % (iens, self._size))
if iens in self._run_args:
raise UserWarning("Realization number: '%d' already queued" % iens)
runpath_fmt = self._ert.getModelConfig().getRunpathFormat()
member = self._ert.getRealisation(iens)
runpath = ErtRunContext.createRunpath(iens, runpath_fmt, member.getDataKW())
run_arg = RunArg.createEnsembleExperimentRunArg(target_fs, iens, runpath)
self._run_args[iens] = run_arg
self._thread_pool.submitJob(ArgPack(self._ert, run_arg))
def isRunning(self):
return self._queue_manager.isRunning()
def getNumRunning(self):
return self._queue_manager.getNumRunning()
def getNumSuccess(self):
return self._queue_manager.getNumSuccess()
def getNumFailed(self):
return self._queue_manager.getNumFailed()
def getNumWaiting(self):
return self._queue_manager.getNumWaiting()
def didRealizationSucceed(self, iens):
queue_index = self._run_args[iens].getQueueIndex()
return self._queue_manager.didJobSucceed(queue_index)
def didRealizationFail(self, iens):
queue_index = self._run_args[iens].getQueueIndex()
return self._queue_manager.didJobFail(queue_index)
def isRealizationQueued(self, iens):
return iens in self._run_args
def isRealizationFinished(self, iens):
run_arg = self._run_args[iens]
if run_arg.isSubmitted():
queue_index = run_arg.getQueueIndex()
return self._queue_manager.isJobComplete(queue_index)
else:
return False
