def setAnalysisModule(self, module_name: str) -> None:
module_load_success = self.ert().analysisConfig().selectModule(
module_name)
if not module_load_success:
raise ErtRunError("Unable to load analysis module '%s'!" %
module_name)
def runSimulations(self, arguments):
phase_count = ERT.enkf_facade.get_number_of_iterations() + 1
self.setPhaseCount(phase_count)
analysis_module = self.setAnalysisModule(arguments["analysis_module"])
target_case_format = arguments["target_case"]
run_context = self.create_context(arguments, 0)
self.ert().analysisConfig().getAnalysisIterConfig().setCaseFormat(
target_case_format)
self._runAndPostProcess(run_context)
analysis_config = self.ert().analysisConfig()
analysis_iter_config = analysis_config.getAnalysisIterConfig()
num_retries_per_iteration = analysis_iter_config.getNumRetries()
num_retries = 0
current_iter = 0
previous_ensemble_name = None
while current_iter < ERT.enkf_facade.get_number_of_iterations(
) and num_retries < num_retries_per_iteration:
pre_analysis_iter_num = analysis_module.getInt("ITER")
self.analyzeStep(run_context)
current_iter = analysis_module.getInt("ITER")
analysis_success = current_iter > pre_analysis_iter_num
if analysis_success:
analysis_module_name = self.ert().analysisConfig(
).activeModuleName()
previous_ensemble_name = dump_to_new_storage(
reference=None if previous_ensemble_name is None else (
previous_ensemble_name, analysis_module_name))
run_context = self.create_context(arguments,
current_iter,
prior_context=run_context)
self.ert().getEnkfFsManager().switchFileSystem(
run_context.get_target_fs())
self._runAndPostProcess(run_context)
num_retries = 0
else:
run_context = self.create_context(arguments,
current_iter,
prior_context=run_context,
rerun=True)
self._runAndPostProcess(run_context)
num_retries += 1
analysis_module_name = self.ert().analysisConfig().activeModuleName()
previous_ensemble_name = dump_to_new_storage(
reference=None if previous_ensemble_name is None else (
previous_ensemble_name, analysis_module_name))
if current_iter == (phase_count - 1):
self.setPhase(phase_count, "Simulations completed.")
else:
raise ErtRunError(
"Iterated Ensemble Smoother stopped: maximum number of iteration retries (%d retries) reached for iteration %d"
% (num_retries_per_iteration, current_iter))
return run_context
def update(self, run_context: ErtRunContext, weight: float,
ensemble_id: str) -> str:
next_iteration = run_context.get_iter() + 1
phase_string = "Analyzing iteration: %d with weight %f" % (
next_iteration,
weight,
)
self.setPhase(self.currentPhase() + 1,
phase_string,
indeterminate=True)
es_update = self.ert().getESUpdate()
es_update.setGlobalStdScaling(weight)
try:
es_update.smootherUpdate(run_context)
except ErtAnalysisError as e:
raise ErtRunError(
"Analysis of simulation failed for iteration:"
f"{next_iteration}. The following error occured {e}") from e
# Push update data to new storage
analysis_module_name = self.ert().analysisConfig().activeModuleName()
update_id = self._post_update_data(parent_ensemble_id=ensemble_id,
algorithm=analysis_module_name)
return update_id
def runSimulations(self, arguments):
phase_count = ERT.enkf_facade.get_number_of_iterations() + 1
self.setPhaseCount(phase_count)
analysis_module = self.setAnalysisModule(arguments["analysis_module"])
target_case_format = arguments["target_case"]
run_context = self.create_context(arguments, 0)
self.ert().analysisConfig().getAnalysisIterConfig().setCaseFormat(
target_case_format)
ensemble_id = self._runAndPostProcess(run_context, arguments)
analysis_config = self.ert().analysisConfig()
analysis_iter_config = analysis_config.getAnalysisIterConfig()
num_retries_per_iteration = analysis_iter_config.getNumRetries()
num_retries = 0
current_iter = 0
while (current_iter < ERT.enkf_facade.get_number_of_iterations()
and num_retries < num_retries_per_iteration):
pre_analysis_iter_num = analysis_module.getInt("ITER")
# We run the PRE_FIRST_UPDATE hook here because the current_iter is explicitly available, versus
# in the run_context inside analyzeStep
if current_iter == 0:
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_FIRST_UPDATE,
ert=ERT.ert)
update_id = self.analyzeStep(run_context, ensemble_id)
current_iter = analysis_module.getInt("ITER")
analysis_success = current_iter > pre_analysis_iter_num
if analysis_success:
run_context = self.create_context(arguments,
current_iter,
prior_context=run_context)
ensemble_id = self._runAndPostProcess(run_context, arguments,
update_id)
num_retries = 0
else:
run_context = self.create_context(arguments,
current_iter,
prior_context=run_context,
rerun=True)
ensemble_id = self._runAndPostProcess(run_context, arguments,
update_id)
num_retries += 1
if current_iter == (phase_count - 1):
self.setPhase(phase_count, "Simulations completed.")
else:
raise ErtRunError(
"Iterated Ensemble Smoother stopped: maximum number of iteration retries (%d retries) reached for iteration %d"
% (num_retries_per_iteration, current_iter))
return run_context
def create_context(self,
arguments,
itr,
initialize_mask_from_arguments=True,
update=True):
target_case_format = arguments["target_case"]
model_config = self.ert().getModelConfig()
runpath_fmt = model_config.getRunpathFormat()
jobname_fmt = model_config.getJobnameFormat()
subst_list = self.ert().getDataKW()
fs_manager = self.ert().getEnkfFsManager()
source_case_name = target_case_format % itr
if itr > 0 and not fs_manager.caseExists(source_case_name):
raise ErtRunError(
"Source case {} for iteration {} does not exists. "
"If you are attempting to restart ESMDA from a iteration other than 0, "
"make sure the target case format is the same as for the original run! "
"(Current target case format: {})".format(
source_case_name, itr, target_case_format))
sim_fs = fs_manager.getFileSystem(source_case_name)
if update:
target_fs = fs_manager.getFileSystem(target_case_format %
(itr + 1))
else:
target_fs = None
if initialize_mask_from_arguments:
mask = arguments["active_realizations"]
else:
state = (RealizationStateEnum.STATE_HAS_DATA
| RealizationStateEnum.STATE_INITIALIZED)
mask = sim_fs.getStateMap().createMask(state)
# Make sure to only run the realizations which was passed in as argument
for index, run_realization in enumerate(
self.initial_realizations_mask):
mask[index] = mask[index] and run_realization
# Deleting a run_context removes the possibility to retrospectively
# determine detailed progress. Thus, before deletion, the detailed
# progress is stored.
self.updateDetailedProgress()
run_context = ErtRunContext.ensemble_smoother(sim_fs, target_fs, mask,
runpath_fmt, jobname_fmt,
subst_list, itr)
self._run_context = run_context
self._last_run_iteration = run_context.get_iter()
self.ert().getEnkfFsManager().switchFileSystem(sim_fs)
return run_context
def analyzeStep(self, run_context):
target_fs = run_context.get_target_fs()
self.setPhaseName("Analyzing...", indeterminate=True)
source_fs = self.ert().getEnkfFsManager().getCurrentFileSystem()
self.setPhaseName("Pre processing update...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_UPDATE, ert=ERT.ert)
es_update = self.ert().getESUpdate()
success = es_update.smootherUpdate(run_context)
if not success:
raise ErtRunError("Analysis of simulation failed!")
self.setPhaseName("Post processing update...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_UPDATE, ert=ERT.ert)
def create_context(
self,
itr: int,
initialize_mask_from_arguments: bool = True,
update: bool = True,
) -> ErtRunContext:
target_case_format = self._simulation_arguments["target_case"]
model_config = self.ert().getModelConfig()
runpath_fmt = model_config.getRunpathFormat()
jobname_fmt = model_config.getJobnameFormat()
subst_list = self.ert().getDataKW()
fs_manager = self.ert().getEnkfFsManager()
source_case_name = target_case_format % itr
if itr > 0 and not fs_manager.caseExists(source_case_name):
raise ErtRunError(
"Source case {} for iteration {} does not exists. "
"If you are attempting to restart ESMDA from a iteration other than 0, "
"make sure the target case format is the same as for the original run! "
"(Current target case format: {})".format(
source_case_name, itr, target_case_format))
sim_fs = fs_manager.getFileSystem(source_case_name)
if update:
target_fs = fs_manager.getFileSystem(target_case_format %
(itr + 1))
else:
target_fs = None
if initialize_mask_from_arguments:
mask = self._simulation_arguments["active_realizations"]
else:
mask = sim_fs.getStateMap().createMask(
RealizationStateEnum.STATE_HAS_DATA
| RealizationStateEnum.STATE_INITIALIZED)
# Make sure to only run the realizations which was passed in as argument
for idx, (valid_state, run_realization) in enumerate(
zip(mask, self._initial_realizations_mask)):
mask[idx] = valid_state and run_realization
run_context = ErtRunContext.ensemble_smoother(sim_fs, target_fs, mask,
runpath_fmt, jobname_fmt,
subst_list, itr)
self._run_context = run_context
self._last_run_iteration = run_context.get_iter()
self.ert().getEnkfFsManager().switchFileSystem(sim_fs)
return run_context
def analyzeStep(self, run_context, ensemble_id):
target_fs = run_context.get_target_fs()
self.setPhaseName("Analyzing...", indeterminate=True)
source_fs = self.ert().getEnkfFsManager().getCurrentFileSystem()
self.setPhaseName("Pre processing update...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_UPDATE, ert=ERT.ert)
es_update = self.ert().getESUpdate()
success = es_update.smootherUpdate(run_context)
# Push update data to new storage
analysis_module_name = self.ert().analysisConfig().activeModuleName()
update_id = self._post_update_data(parent_ensemble_id=ensemble_id,
algorithm=analysis_module_name)
if not success:
raise ErtRunError("Analysis of simulation failed!")
self.setPhaseName("Post processing update...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_UPDATE, ert=ERT.ert)
return update_id
def analyzeStep(self, run_context: ErtRunContext, ensemble_id: str) -> str:
self.setPhaseName("Analyzing...", indeterminate=True)
self.setPhaseName("Pre processing update...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_UPDATE, ert=self.ert())
es_update = self.ert().getESUpdate()
try:
es_update.smootherUpdate(run_context)
except ErtAnalysisError as e:
raise ErtRunError(
f"Analysis of simulation failed with the following error: {e}"
) from e
# Push update data to new storage
analysis_module_name = self.ert().analysisConfig().activeModuleName()
update_id = self._post_update_data(
parent_ensemble_id=ensemble_id, algorithm=analysis_module_name
)
self.setPhaseName("Post processing update...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_UPDATE, ert=self.ert())
return update_id
def runSimulations(
self,
evaluator_server_config: EvaluatorServerConfig) -> ErtRunContext:
prior_context = self.create_context()
self._checkMinimumActiveRealizations(prior_context)
self.setPhase(0, "Running simulations...", indeterminate=False)
# self.setAnalysisModule(arguments["analysis_module"])
self.setPhaseName("Pre processing...", indeterminate=True)
self.ert().getEnkfSimulationRunner().createRunPath(prior_context)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_SIMULATION,
ert=self.ert())
# Push ensemble, parameters, observations to new storage
ensemble_id = self._post_ensemble_data()
self.setPhaseName("Running forecast...", indeterminate=False)
num_successful_realizations = self.run_ensemble_evaluator(
prior_context, evaluator_server_config)
# Push simulation results to storage
self._post_ensemble_results(ensemble_id)
self.checkHaveSufficientRealizations(num_successful_realizations)
self.setPhaseName("Post processing...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_SIMULATION,
ert=self.ert())
self.setPhaseName("Analyzing...")
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_FIRST_UPDATE,
ert=self.ert())
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_UPDATE,
ert=self.ert())
es_update = self.ert().getESUpdate()
try:
es_update.smootherUpdate(prior_context)
except ErtAnalysisError as e:
raise ErtRunError(
f"Analysis of simulation failed with the following error: {e}"
) from e
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_UPDATE,
ert=self.ert())
# Create an update object in storage
analysis_module_name = self.ert().analysisConfig().activeModuleName()
update_id = self._post_update_data(ensemble_id, analysis_module_name)
self.setPhase(1, "Running simulations...")
self.ert().getEnkfFsManager().switchFileSystem(
prior_context.get_target_fs())
self.setPhaseName("Pre processing...")
rerun_context = self.create_context(prior_context=prior_context)
self.ert().getEnkfSimulationRunner().createRunPath(rerun_context)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_SIMULATION,
ert=self.ert())
# Push ensemble, parameters, observations to new storage
ensemble_id = self._post_ensemble_data(update_id=update_id)
self.setPhaseName("Running forecast...", indeterminate=False)
num_successful_realizations = self.run_ensemble_evaluator(
rerun_context, evaluator_server_config)
self.checkHaveSufficientRealizations(num_successful_realizations)
self.setPhaseName("Post processing...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_SIMULATION,
ert=self.ert())
# Push simulation results to storage
self._post_ensemble_results(ensemble_id)
self.setPhase(2, "Simulations completed.")
return prior_context
def runSimulations(self, arguments):
prior_context = self.create_context(arguments)
self.checkMinimumActiveRealizations(prior_context)
self.setPhase(0, "Running simulations...", indeterminate=False)
# self.setAnalysisModule(arguments["analysis_module"])
self.setPhaseName("Pre processing...", indeterminate=True)
self.ert().getEnkfSimulationRunner().createRunPath(prior_context)
# Push ensemble, parameters, observations to new storage
ensemble_id = post_ensemble_data()
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_SIMULATION,
ert=ERT.ert)
self.setPhaseName("Running forecast...", indeterminate=False)
if FeatureToggling.is_enabled("ensemble-evaluator"):
ee_config = arguments["ee_config"]
num_successful_realizations = self.run_ensemble_evaluator(
prior_context, ee_config)
else:
self._job_queue = self._queue_config.create_job_queue()
num_successful_realizations = self.ert().getEnkfSimulationRunner(
).runSimpleStep(self._job_queue, prior_context)
self.checkHaveSufficientRealizations(num_successful_realizations)
self.setPhaseName("Post processing...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_SIMULATION,
ert=ERT.ert)
self.setPhaseName("Analyzing...")
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_FIRST_UPDATE,
ert=ERT.ert)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_UPDATE, ert=ERT.ert)
es_update = self.ert().getESUpdate()
success = es_update.smootherUpdate(prior_context)
if not success:
raise ErtRunError("Analysis of simulation failed!")
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_UPDATE, ert=ERT.ert)
# Push simulation results to storage
post_ensemble_results(ensemble_id)
self.setPhase(1, "Running simulations...")
self.ert().getEnkfFsManager().switchFileSystem(
prior_context.get_target_fs())
self.setPhaseName("Pre processing...")
rerun_context = self.create_context(arguments,
prior_context=prior_context)
self.ert().getEnkfSimulationRunner().createRunPath(rerun_context)
# Push ensemble, parameters, observations to new storage
analysis_module_name = self.ert().analysisConfig().activeModuleName()
ensemble_id = post_ensemble_data((ensemble_id, analysis_module_name))
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_SIMULATION,
ert=ERT.ert)
self.setPhaseName("Running forecast...", indeterminate=False)
if FeatureToggling.is_enabled("ensemble-evaluator"):
ee_config = arguments["ee_config"]
num_successful_realizations = self.run_ensemble_evaluator(
rerun_context, ee_config)
else:
self._job_queue = self._queue_config.create_job_queue()
num_successful_realizations = self.ert().getEnkfSimulationRunner(
).runSimpleStep(self._job_queue, rerun_context)
self.checkHaveSufficientRealizations(num_successful_realizations)
self.setPhaseName("Post processing...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_SIMULATION,
ert=ERT.ert)
self.setPhase(2, "Simulations completed.")
# Push simulation results to storage
post_ensemble_results(ensemble_id)
return prior_context
def checkHaveSufficientRealizations(
self, num_successful_realizations: int) -> None:
# Should only have one successful realization
if num_successful_realizations == 0:
raise ErtRunError("Simulation failed!")
def runSimulations(self, arguments):
prior_context = self.create_context(arguments)
self.checkMinimumActiveRealizations(prior_context)
self.setPhase(0, "Running simulations...", indeterminate=False)
# self.setAnalysisModule(arguments["analysis_module"])
self.setPhaseName("Pre processing...", indeterminate=True)
self.ert().getEnkfSimulationRunner().createRunPath(prior_context)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_SIMULATION,
ert=ERT.ert)
self.setPhaseName("Running forecast...", indeterminate=False)
self._job_queue = self._queue_config.create_job_queue()
num_successful_realizations = self.ert().getEnkfSimulationRunner(
).runSimpleStep(self._job_queue, prior_context)
self.checkHaveSufficientRealizations(num_successful_realizations)
self.setPhaseName("Post processing...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_SIMULATION,
ert=ERT.ert)
self.setPhaseName("Analyzing...")
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_FIRST_UPDATE,
ert=ERT.ert)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_UPDATE, ert=ERT.ert)
es_update = self.ert().getESUpdate()
success = es_update.smootherUpdate(prior_context)
if not success:
raise ErtRunError("Analysis of simulation failed!")
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_UPDATE, ert=ERT.ert)
previous_ensemble_name = dump_to_new_storage(reference=None)
self.setPhase(1, "Running simulations...")
self.ert().getEnkfFsManager().switchFileSystem(
prior_context.get_target_fs())
self.setPhaseName("Pre processing...")
rerun_context = self.create_context(arguments,
prior_context=prior_context)
self.ert().getEnkfSimulationRunner().createRunPath(rerun_context)
EnkfSimulationRunner.runWorkflows(HookRuntime.PRE_SIMULATION,
ert=ERT.ert)
self.setPhaseName("Running forecast...", indeterminate=False)
self._job_queue = self._queue_config.create_job_queue()
num_successful_realizations = self.ert().getEnkfSimulationRunner(
).runSimpleStep(self._job_queue, rerun_context)
self.checkHaveSufficientRealizations(num_successful_realizations)
self.setPhaseName("Post processing...", indeterminate=True)
EnkfSimulationRunner.runWorkflows(HookRuntime.POST_SIMULATION,
ert=ERT.ert)
self.setPhase(2, "Simulations completed.")
analysis_module_name = self.ert().analysisConfig().activeModuleName()
dump_to_new_storage(reference=(previous_ensemble_name,
analysis_module_name))
return prior_context
