def run_ensemble(model_class,
parameters,
param_set_id,
seed_base,
number_of_trajectories,
storage_mode="Shared"):
""" Generates an ensemble consisting of number_of_trajectories realizations by
running the model 'nt' number of times. The resulting result objects
are serialized and written to one of the MOLNs storage locations, each
assigned a random filename. The default behavior is to write the
files to the Shared storage location (global non-persistent). Optionally, files can be
written to the Object Store (global persistent), storage_model="Persistent"
Returns: a list of filenames for the serialized result objects.
"""
import sys
import uuid
from molnsutil import PersistentStorage, LocalStorage, SharedStorage
if storage_mode == "Shared":
storage = SharedStorage()
elif storage_mode == "Persistent":
storage = PersistentStorage()
else:
raise MolnsUtilException(
"Unknown storage type '{0}'".format(storage_mode))
# Create the model
try:
model_class_cls = cloudpickle.loads(model_class)
if parameters is not None:
model = model_class_cls(**parameters)
else:
model = model_class_cls()
except Exception as e:
notes = "Error instantiation the model class, caught {0}: {1}\n".format(
type(e), e)
notes += "dir={0}\n".format(dir())
raise MolnsUtilException(notes)
# Run the solver
filenames = []
processes = []
results = model.run(seed=seed_base,
number_of_trajectories=number_of_trajectories)
if not isinstance(results, list):
results = [results]
for result in results:
try:
# We should try to thread this to hide latency in file upload...
filename = str(uuid.uuid1())
storage.put(filename, result)
filenames.append(filename)
except:
raise
return {'filenames': filenames, 'param_set_id': param_set_id}
def write_file(storage_mode,filename, result):
from molnsutil import LocalStorage, SharedStorage, PersistentStorage
if storage_mode=="Shared":
storage = SharedStorage()
elif storage_mode=="Persistent":
storage = PersistentStorage()
else:
raise MolnsUtilException("Unknown storage type '{0}'".format(storage_mode))
storage.put(filename, result)
def write_file(storage_mode, filename, result):
from molnsutil import LocalStorage, SharedStorage, PersistentStorage
if storage_mode == "Shared":
storage = SharedStorage()
elif storage_mode == "Persistent":
storage = PersistentStorage()
else:
raise MolnsUtilException(
"Unknown storage type '{0}'".format(storage_mode))
storage.put(filename, result)
def run_ensemble(model_class, parameters, param_set_id, seed_base, number_of_trajectories, storage_mode="Shared"):
""" Generates an ensemble consisting of number_of_trajectories realizations by
running the model 'nt' number of times. The resulting result objects
are serialized and written to one of the MOLNs storage locations, each
assigned a random filename. The default behavior is to write the
files to the Shared storage location (global non-persistent). Optionally, files can be
written to the Object Store (global persistent), storage_model="Persistent"
Returns: a list of filenames for the serialized result objects.
"""
import sys
import uuid
from molnsutil import PersistentStorage, LocalStorage, SharedStorage
if storage_mode=="Shared":
storage = SharedStorage()
elif storage_mode=="Persistent":
storage = PersistentStorage()
else:
raise MolnsUtilException("Unknown storage type '{0}'".format(storage_mode))
# Create the model
try:
model_class_cls = cloudpickle.loads(model_class)
if parameters is not None:
model = model_class_cls(**parameters)
else:
model = model_class_cls()
except Exception as e:
notes = "Error instantiation the model class, caught {0}: {1}\n".format(type(e),e)
notes += "dir={0}\n".format(dir())
raise MolnsUtilException(notes)
# Run the solver
filenames = []
processes=[]
results = model.run(seed=seed_base, number_of_trajectories=number_of_trajectories)
if not isinstance(results, list):
results = [results]
for result in results:
try:
# We should try to thread this to hide latency in file upload...
filename = str(uuid.uuid1())
storage.put(filename, result)
filenames.append(filename)
except:
raise
return {'filenames':filenames, 'param_set_id':param_set_id}
