def execute_simulation_experiment(sedml_file, output_directory):
""" Execute the simulation experiment defined in the given SED-ML document and save the outputs.
Args:
sedml_file (:obj:`str`): path to SED-ML document
output_directory (:obj:`str`): directory to store the outputs of the experiment
"""
print("Executing the simulation experiment: " + sedml_file +
"; with output stored in the directory: " + output_directory)
doc = libsedml.readSedML(sedml_file)
if doc.getErrorLog().getNumFailsWithSeverity(
libsedml.LIBSEDML_SEV_WARNING) > 0:
print(doc.getErrorLog().toString())
sys.exit(2)
# The base location to use when resolving relative locations
model_base = os.path.abspath(os.path.dirname(sedml_file))
manifest = ExperimentManifest()
manifest.build(doc, model_base)
if not manifest.instantiate():
print("There was an error instantiating the experiment manifest.")
sys.exit(3)
def sedml_to_python(fullPathName): # full path name to SedML model
from os.path import basename
global modelname
modelName = os.path.splitext(basename(fullPathName))[0]
extension = os.path.splitext(basename(fullPathName))[1]
path = fullPathName.rsplit(basename(fullPathName),1)[0]
class Tee(object):
def __init__(self, *files):
self.files = files
def write(self, obj):
for f in self.files:
f.write(obj)
if extension == ".sedx":
import unzipy as uz
zip = zipfile.ZipFile(fullPathName, 'r')
path = path + modelName
uz.unZip(path, zip)
zip.close()
fullPathName = uz.readManifest(path + "/manifest.xml")
k = fullPathName.rfind("/")
fullPathName = fullPathName[k+1:]
fullPathName = path + "/" + fullPathName;
sedmlDoc = libsedml.readSedML(fullPathName)
if sedmlDoc.getErrorLog().getNumFailsWithSeverity(libsedml.LIBSEDML_SEV_ERROR) > 0:
print sedmlDoc.getErrorLog().toString()
sys.exit(2)
import StringIO
f = StringIO.StringIO()
original = sys.stdout
#sys.stdout = Tee(sys.stdout, f) # output to console and file
sys.stdout = Tee(f) # output to file only
print "# Beginning of generated script"
print "import roadrunner"
print ""
for i in range(0, sedmlDoc.getNumModels()):
currentModel = sedmlDoc.getModel(i)
print "# Execute the tasks of model " + currentModel.getName()
rrName = "rr" + str(i)
print rrName + " = roadrunner.RoadRunner()"
generateTasks(rrName, sedmlDoc, currentModel, path)
print ""
print "# The Data Generators"
dataGeneratorsList = []
for i in range(0, sedmlDoc.getNumModels()):
currentModel = sedmlDoc.getModel(i)
generateData(sedmlDoc, currentModel, dataGeneratorsList)
print "# The Plots"
generatePlots(sedmlDoc, dataGeneratorsList)
print "# End of generated script\n"
contents = f.getvalue()
sys.stdout = original # restore print to stdout only
f.close()
return contents
def main (args):
"""Usage: print_sedml input-filename
"""
if len(args) != 2:
print(main.__doc__)
sys.exit(1)
doc = libsedml.readSedML(args[1]);
if ( doc.getErrorLog().getNumFailsWithSeverity(libsedml.LIBSEDML_SEV_ERROR) > 0):
print doc.getErrorLog().toString();
sys.exit(2);
print 'The document has {0}" simulation(s).'.format(doc.getNumSimulations());
for i in range(0, doc.getNumSimulations()):
current = doc.getSimulation(i);
if (current.getTypeCode() == libsedml.SEDML_SIMULATION_UNIFORMTIMECOURSE):
tc = current;
kisaoid="none"
if tc.isSetAlgorithm():
kisaoid=tc.getAlgorithm().getKisaoID()
print "\tTimecourse id=", tc.getId()," start=",tc.getOutputStartTime()," end=",tc.getOutputEndTime()," numPoints=",tc.getNumberOfPoints()," kisao=",kisaoid,"\n";
else:
print "\tUncountered unknown simulation. ",current.getId(),"\n";
print "\n"
print "The document has ",doc.getNumModels() , " model(s)." , "\n";
for i in range(0,doc.getNumModels()):
current = doc.getModel(i);
print "\tModel id=" , current.getId() , " language=" , current.getLanguage() , " source=" , current.getSource() , " numChanges=" , current.getNumChanges() , "\n";
print "\n";
print "The document has " , doc.getNumTasks() , " task(s)." , "\n";
for i in range(0,doc.getNumTasks()):
current = doc.getTask(i);
print "\tTask id=" , current.getId() , " model=" , current.getModelReference() , " sim=" , current.getSimulationReference() , "\n";
print "\n";
print "The document has " , doc.getNumDataGenerators() , " datagenerators(s)." , "\n";
for i in range( 0, doc.getNumDataGenerators()):
current = doc.getDataGenerator(i);
print "\tDG id=" , current.getId() , " math=" , libsedml.formulaToString(current.getMath()) , "\n";
print "\n";
print "The document has " , doc.getNumOutputs() , " output(s)." , "\n";
for i in range (0, doc.getNumOutputs()):
current = doc.getOutput(i);
tc = current.getTypeCode();
if tc == libsedml.SEDML_OUTPUT_REPORT:
r = (current);
print "\tReport id=" , current.getId() , " numDataSets=" , r.getNumDataSets() , "\n";
elif tc == libsedml.SEDML_OUTPUT_PLOT2D:
p = (current);
print "\tPlot2d id=" , current.getId() , " numCurves=" , p.getNumCurves() , "\n";
elif tc == libsedml.SEDML_OUTPUT_PLOT3D:
p = (current);
print "\tPlot3d id=" , current.getId() , " numSurfaces=" , p.getNumSurfaces() , "\n";
else:
print "\tEncountered unknown output " , current.getId() , "\n";
def _check_sedml_submodels(sedml_file, sbml_files,
model_name, model_year, model_info):
"""Checks which sbml models of one sedml group belong together"""
sedml_path = os.path.abspath(sedml_file)
sedml_doc = libsedml.readSedML(sedml_file)
sedml_task_models = [task.getModelReference() for task in sedml_doc.getListOfTasks()]
for sbml_file in sbml_files:
# we want to find a simulation task for this SBML model
# first, get the name of the file (identifier in SED-ML)
sbml_path = os.path.abspath(sbml_file)
sbml_file_short = (sbml_file.split('/')[-1]).split('.')[0]
# Find the first task for this model (and warn if no task was found)
try:
task_number = sedml_task_models.index(sbml_file_short)
except ValueError:
print('SBML file not found in list of tasks: ' + sbml_file_short)
return model_info
# get the corresponding simulation setting
current_sim = sedml_doc.getSimulation(sedml_doc.getTask(
task_number).getSimulationReference())
# remember simulation settings
# out_start = current_sim.getOutputStartTime()
out_end = current_sim.getOutputEndTime()
# n_timepoints = current_sim.getNumberOfPoints()
# get info about the SBML file
sbml_model = libsbml.readSBML(sbml_file).getModel()
if sbml_model is None:
# check for SBML model
print(f'No sbml model found for file {sbml_file}, '
f'in model name f{model_name}, '
f'model year {model_year}')
return model_info
n_species = len(sbml_model.getListOfSpecies())
n_reactions = len(sbml_model.getListOfReactions())
# add model information to the list
model_info.append({
'name': model_name,
'year': model_year,
'n_species': n_species,
'n_reactions': n_reactions,
'sbml_path': sbml_path,
'sedml_path': sedml_path,
'regrouped_path': '', # to be filled later
'start_time': 0, # will only use t_end to have a rough timeframe
'end_time': out_end,
'n_timepoints': 101, # will only use t_end to have a rough timeframe
'long_id': (model_name, model_year, n_species, n_reactions),
'short_id': '',
'sedml_task': task_number,
})
return model_info
def getTimeCourse(iModel, iFile):
# important paths
BioModels_path = './BioModelsDatabase_models'
xml_path = './sedml_models/' + iModel + '/sbml_models/' + iFile + '.xml'
sedml_path = './sedml_models/' + iModel + '/' + iModel + '.sedml'
sbml_path = './sedml_models/' + iModel + '/sbml_models/' + iFile + '.sbml'
# get time curse depending on type of model
if os.path.exists(BioModels_path + '/' + iModel):
sim_start_time, sim_end_time, sim_num_time_points, y_bound = timePointsBioModels(iModel)
xml_model = libsbml.readSBML(xml_path)
model_name = xml_model.getModel().getName()
else:
sedml_file = libsedml.readSedML(sedml_path)
sbml_file = libsbml.readSBML(sbml_path)
model_name = sbml_file.getModel().getName()
for iTask in range(0, sedml_file.getNumTasks()):
all_tasks = sedml_file.getTask(iTask)
tsk_Id = all_tasks.getId()
task_name = all_tasks.getName()
task_modRef = all_tasks.getModelReference()
task_simReference = all_tasks.getSimulationReference()
# time courses
try:
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
except: # need 'except' clause if more models have same time period
if all_simulations == None:
all_simulations = sedml_file.getSimulation(0)
sim_Id = all_simulations.getId()
try:
while task_simReference != sim_Id:
iTask = iTask + 1
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
except:
iTask = 0
while task_simReference != sim_Id:
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
iTask = iTask + 1
sim_start_time = all_simulations.getOutputStartTime()
sim_end_time = all_simulations.getOutputEndTime()
sim_num_time_points = all_simulations.getNumberOfPoints()
# replace 'sim_num_time_points' by default value 100 for trajectory comparison in the end
sim_num_time_points = 100
return model_name, sim_start_time, sim_end_time, sim_num_time_points
def main(args):
"""Usage: echo_sedml input-filename output-filename
"""
if len(args) != 3:
print (main.__doc__)
sys.exit(1)
d = libsedml.readSedML(args[1])
if d.getErrorLog().getNumFailsWithSeverity(libsedml.LIBSEDML_SEV_ERROR) > 0:
print d.getErrorLog().toString()
else:
libsedml.writeSedML(d, args[2])
return 0
def main(args):
"""Usage: echo_sedml input-filename output-filename
"""
if len(args) != 3:
print(main.__doc__)
sys.exit(1)
d = libsedml.readSedML(args[1])
if (d.getErrorLog().getNumFailsWithSeverity(libsedml.LIBSEDML_SEV_ERROR) >
0):
print(d.getErrorLog().toString())
else:
libsedml.writeSedML(d, args[2])
return 0
def download_all_sbml_models_for_sedml_model(sedml_file, sbml_folder):
"""
Download all sbml models used in a sedml model to a subfolder.
"""
# read sedml file
sedml_model = libsedml.readSedML(sedml_file)
# create sbml model folder if not exists
if not os.path.exists(sbml_folder):
os.makedirs(sbml_folder)
# extract sbml entries
n_sbml_models = sedml_model.getNumModels()
for i_sbml_model in range(n_sbml_models):
sbml_entry = sedml_model.getModel(i_sbml_model)
sbml_id = sbml_entry.getId()
sbml_url = sbml_entry.getSource()
sbml_file = sbml_folder + "/" + sbml_id + ".sbml"
download_sbml_model(sbml_url, sbml_file)
def gen_plots_for_sed2d_only(sedml_path, result_out_dir):
all_plot_curves = {}
all_report_dataref = {}
sedml = lsed.readSedML(sedml_path)
# print(sedml)
for output in sedml.getListOfOutputs():
# print(output)
if type(output) == SedPlot2D:
all_curves = {}
for curve in output.getListOfCurves():
# print(curve)
all_curves[curve.getId()] = {
'x': curve.getXDataReference(),
'y': curve.getYDataReference()
}
all_plot_curves[output.getId()] = all_curves
all_plots = dict(all_plot_curves)
for plot, curve_dat in all_plots.items():
dims = (12, 8)
fig, ax = plt.subplots(figsize=dims)
for curve, data in curve_dat.items():
df = pd.read_csv(os.path.join(result_out_dir, plot + '.csv'),
header=None).T
df.columns = df.iloc[1] # use labels
df.drop(0, inplace=True)
df.drop(1, inplace=True)
df.drop(2, inplace=True)
df.reset_index(inplace=True)
df.drop('index', axis=1, inplace=True)
sns.lineplot(x=df[data['x']].astype(float),
y=df[data['y']].astype(float),
ax=ax,
label=curve)
ax.set_ylabel('')
# plt.show()
plt.savefig(os.path.join(result_out_dir, plot + '.pdf'), dpi=300)
def get_all_dataref_and_curves(sedml_path):
all_plot_curves = {}
all_report_dataref = {}
sedml = lsed.readSedML(sedml_path)
for output in sedml.getListOfOutputs():
if type(output) == SedPlot2D:
all_curves = {}
for curve in output.getListOfCurves():
all_curves[curve.getId()] = {
'x': curve.getXDataReference(),
'y': curve.getYDataReference()
}
all_plot_curves[output.getId()] = all_curves
if type(output) == SedReport:
for dataset in output.getListOfDataSets():
######
if output.getId() in all_report_dataref:
all_report_dataref[output.getId()].append({
'data_reference':
dataset.getDataReference(),
'data_label':
dataset.getLabel()
})
else:
all_report_dataref[output.getId()] = []
all_report_dataref[output.getId()].append({
'data_reference':
dataset.getDataReference(),
'data_label':
dataset.getLabel()
})
return all_report_dataref, all_plot_curves
def getAllObservables(iSEDML, core_iSbml):
# list of all directories + SBML files
#list_directory_sedml = sorted(os.listdir(base_path_sedml))
# create new sbml file with observables
#for iSEDML in list_directory_sedml:
# iSEDML = 'kouril2017_fig1a'
# list_files = sorted(os.listdir(base_path_sedml + '/' + iSEDML + '/sbml_models'))
# for iSBML in list_files:
# split iSBML
#core_iSbml, XML = iSBML.split('.')
#iSEDML = 'bachmann2011'
#core_iSbml = 'bachmann'
# important paths
base_path_sedml = './sedml_models'
sedml_path = './sedml_models/' + iSEDML + '/' + iSEDML + '.sedml'
sbml_path = './sedml_models/' + iSEDML + '/sbml_models/' + core_iSbml + '.sbml'
new_sbml_path = base_path_sedml + '/' + iSEDML + '/sbml_models_with_observables/' + core_iSbml + '_with_observabels.xml'
if not os.path.exists(sedml_path):
print('No Observables!')
else:
# new folder for all sbml models with observables
if not os.path.exists(base_path_sedml + '/' + iSEDML +
'/sbml_models_with_observables'):
os.makedirs(base_path_sedml + '/' + iSEDML +
'/sbml_models_with_observables')
# read in sedml file
sedml_file = libsedml.readSedML(sedml_path)
# get number of tasks and observables
num_task = sedml_file.getNumTasks()
num_obs = sedml_file.getNumDataGenerators()
# read in sbml model
reader = libsbml.SBMLReader()
sbml_file = reader.readSBML(sbml_path)
sbml_model = sbml_file.getModel()
for iTask in range(0, num_task):
task_id = sedml_file.getTask(iTask).getId()
# create list with all parameter-ids to check for uniqueness
# all_par_id = []
almost_all_par_id = []
'''
# get all species-Ids
num_spec = len(model.getListOfSpecies())
list_spec = []
for iSpec in range(0, num_spec):
spec_Id = model.getSpecies(iSpec).getId()
list_spec.append(spec_Id)
# get all parameter-Ids
num_par_old = len(model.getListOfParameters())
list_par_old = []
for iPar in range(0, num_par_old):
par_Id = model.getParameter(iPar).getId()
list_par_old.append(par_Id)
'''
for iObservable in range(0, num_obs):
# get important formula
obs_Formula = libsedml.formulaToString(
sedml_file.getDataGenerator(iObservable).getMath())
obs_Id = sedml_file.getDataGenerator(iObservable).getId()
# SBML_model_Id,Observable_Id = obs_Id.split('_',1)
new_obs_Id = 'observable_' + obs_Id
# get variables
num_var = sedml_file.getDataGenerator(
iObservable).getNumVariables()
list_var_id = []
for iVar in range(0, num_var):
var_Id = sedml_file.getDataGenerator(
iObservable).getVariable(iVar).getId()
target_Id = sedml_file.getDataGenerator(
iObservable).getVariable(iVar).getTarget()
if not target_Id == '':
try:
_, new_var_Id, _ = target_Id.split("'")
if var_Id in obs_Formula:
obs_Formula = obs_Formula.replace(
var_Id, new_var_Id)
except:
print(
'target_Id can not be splitted / does not need to be splitted!'
)
else:
print('target_Id does not exists!')
# only if it was not defined earlier
#if not var_Id in list_spec:
# if not var_Id in list_par_old:
# if not var_Id in list_var_id:
# list_var_id.append(var_Id)
# get right compartment
#compartment = model.getCompartment(0).getId()
# get list of parameters
list_par_id = []
list_par_value = []
num_par = sedml_file.getDataGenerator(
iObservable).getNumParameters()
if num_par == 0:
print(obs_Id + ' has no parameters as observables!')
else:
for iCount in range(0, num_par):
list_par_id.append(
sedml_file.getDataGenerator(
iObservable).getParameter(iCount).getId())
# list_par_value.append(sedml_file.getDataGenerator(iObservable).getParameter(iCount).getValue())
# all_par_id.append(sedml_file.getDataGenerator(iObservable).getParameter(iCount).getId())
list_par_value.append(
sedml_file.getDataGenerator(
iObservable).getParameter(iCount).getValue())
almost_all_par_id.append(
sedml_file.getDataGenerator(
iObservable).getParameter(iCount).getId())
# check for uniqueness of parameter-ids
# for iNum in range(0, len(all_par_id)):
# almost_all_par_id = all_par_id.remove(all_par_id[len(all_par_id) - 1])
for iNum in range(0, len(almost_all_par_id)):
all_par_id = almost_all_par_id[iNum]
almost_all_par_id.remove(
almost_all_par_id[len(almost_all_par_id) - 1])
last_element = list(all_par_id[len(all_par_id) -
1])
intersection = [
i for i in last_element
if i in almost_all_par_id
]
if len(intersection) != 0:
print(
'Two or more parameters have the same Id!')
# sys.exit(1)
# look for correct observables: with target and with task_id == task_ref
if sedml_file.getDataGenerator(iObservable).getVariable(
0).getTarget() != '':
# get task reference
task_target = sedml_file.getDataGenerator(
iObservable).getVariable(0).getTarget()
task_ref = sedml_file.getDataGenerator(
iObservable).getVariable(0).getTaskReference()
if task_id == task_ref:
# create formula
assignmentRule = sbml_model.createAssignmentRule()
assignmentRule.setId(new_obs_Id)
assignmentRule.setVariable(new_obs_Id)
assignmentRule.setFormula(obs_Formula)
# create parameter to formula for observables
obs_parameter = sbml_model.createParameter()
obs_parameter.setId(new_obs_Id)
obs_parameter.setConstant(False)
# create parameter to formula for parameters
for iCount in range(0, num_par):
iPar_id = list_par_id[iCount]
iPar_value = list_par_value[iCount]
parameter = sbml_model.createParameter()
parameter.setId(iPar_id)
parameter.setConstant(False)
parameter.setValue(iPar_value)
# create species to formula
#for iCount in range(0, len(list_var_id)):
# iVar_id = list_var_id[iCount]
# variable = model.createSpecies()
# variable.setId(iVar_id)
# variable.setCompartment(compartment)
# variable.setHasOnlySubstanceUnits(False)
# variable.setBoundaryCondition(False)
# variable.setConstant(False)
libsbml.writeSBMLToFile(sbml_file, new_sbml_path)
def download_jws_reference_trajectory(i_model, sedml_file, jws_model_infos):
# Read sedml document
sedml_doc: libsedml.SedDocument = libsedml.readSedML(sedml_file)
sedml_id = (sedml_file.split('/')[-1]).split('.')[0]
sbml_file = model_info.loc[i_model, 'sbml_path']
# The actual sbml id
sbml_id = (sbml_file.split('/')[-1]).split('.')[0]
logger.info(f"Downloading {sedml_id} {sbml_id}")
# Target referencet trajectory file
ref_folder = os.path.join(DIR_TRAJ_REF_JWS, sedml_id, sbml_id)
ref_file = os.path.join(ref_folder, 'JWS_simulation.csv')
if os.path.exists(ref_file):
# Model has been downloaded already
return
# Simulation time points
start_time = model_info.loc[i_model, 'start_time']
end_time = model_info.loc[i_model, 'end_time']
# TODO JWS does not seem to support the definition of n_timepoints
#n_timepoints = model_info.loc[i_model, 'n_timepoints']
# Get the used simulation task
sedml_task: libsedml.SedTask = \
sedml_doc.getTask(int(model_info.loc[i_model, 'sedml_task']))
# Short consistency check that sbml model and sedml task fit together
assert sbml_id == sedml_task.getModelReference()
# Get sbml model definition in the sedml file, containing a change list
sedml_sbml_model = sedml_doc.getModel(sedml_task.getModelReference())
# Iterate over all changes defined in the sedml file simulation task
# for the sbml model.
# Like in the AMICI simulation, we overwrite species, parameters,
# and compartments.
changes_list = []
for change in sedml_sbml_model.getListOfChanges():
# Change target and value
target = change.getTarget()
value = change.getNewValue()
# Target type
# TODO this could be improved, if expression matching problems occur
target_type = (target.split('[')[0]).split(':')[4]
if target_type not in {'species', 'parameter', 'compartment'}:
logger.warning(
f"Requesting a {target_type} change in {sbml_file}, "
"which AMICI does not support. Keeping the change, but "
"this is likely to cause non-comparable trajectories.")
# Target id
target_id = target.split("'")[1]
changes_list.append(f'{target_id}={value};')
# Get slug for JWS model simulation (heuristic, but seems to work)
sbml_model = libsbml.readSBML(sbml_file).getModel()
sbml_slug = None
for jws_model_info in jws_model_infos:
if sbml_model.getName() == jws_model_info['name']:
sbml_slug = jws_model_info['slug']
break
if sbml_slug is None:
raise ValueError(
f"Extraction of SBML url for {sedml_id} {sbml_id} failed.")
# Get Url with all changes
# <species i>=<amount>
# <parameter i>=<value>, compartment == parameter (in this case)
url = f'https://jjj.bio.vu.nl/rest/models/{sbml_slug}' \
f'/time_evolution?time_start={start_time};time_end={end_time};' \
'species=all;' + ''.join(changes_list)
logger.info(f"JWS simulation URL: {url}")
# Create a temporary file for the json simulation
_, tmp_json_file = tempfile.mkstemp()
# JWS sometimes just returns an error output, then just retry
while True:
logger.info("Downloading")
urllib.request.urlretrieve(url, tmp_json_file)
with open(tmp_json_file, 'r') as f:
if f.read() != '{"error_msg": "No result was returned."}':
break
# Convert to and save as csv file
os.makedirs(ref_folder, exist_ok=True)
pd.read_json(tmp_json_file).to_csv(ref_file, sep='\t', index=False)
# Remove temporary json file
os.remove(tmp_json_file)
def all_settings(iModel, iFile):
# insert specific model properties as strings, e.g.:
base_path_sbml2amici = '../sbml2amici/correct_amici_models'
base_path_sedml = './sedml_models'
BioModels_path = './BioModelsDatabase_models'
benchmark_path = '../benchmark-models/hackathon_contributions_new_data_format'
# iFile without extension
#iFile,_ = iFile.split('.',1)
# run function
model = load_specific_model(iModel,
iFile) # call function from 'loadModels.py'
if os.path.exists(
BioModels_path + '/' + iModel
): #(benchmark_path + '/' + iModel): #(BioModels_path + '/' + iModel)
sim_start_time, sim_end_time, sim_num_time_points = timePointsBioModels(
iModel
) #time_array = timePointsBenchmarkModels(iModel, iFile) #sim_start_time, sim_end_time, sim_num_time_points = timePointsBioModels(iModel) # call function from 'setTime_BioModels.py'
else:
# change parameter and species according to SEDML file
model = changeValues(model, iModel,
iFile) # call function from 'changeValues.py'
# open sedml to get tasks + time courses
sedml_path = './sedml_models/' + iModel + '/' + iModel + '.sedml'
# tasks
sedml_file = libsedml.readSedML(sedml_path)
for iTask in range(0, sedml_file.getNumTasks()):
all_tasks = sedml_file.getTask(iTask)
tsk_Id = all_tasks.getId()
task_name = all_tasks.getName()
task_modRef = all_tasks.getModelReference()
task_simReference = all_tasks.getSimulationReference()
# time courses
try:
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
except: # need 'except' clause if more models have same time period
if all_simulations == None:
all_simulations = sedml_file.getSimulation(0)
sim_Id = all_simulations.getId()
try:
while task_simReference != sim_Id:
iTask = iTask + 1
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
except:
iTask = 0
while task_simReference != sim_Id:
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
iTask = iTask + 1
sim_start_time = all_simulations.getOutputStartTime()
sim_end_time = all_simulations.getOutputEndTime()
sim_num_time_points = all_simulations.getNumberOfPoints()
# load script 'changeValues'
# model = changeValues(iModel, iFile)
# set timepoints for which we want to simulate the model
model.setTimepoints(
np.linspace(sim_start_time, sim_end_time, sim_num_time_points)
) #model.setTimepoints(time_array) #(np.linspace(sim_start_time, sim_end_time, sim_num_time_points))
return model
###### species
new_species = []
for iNumber in range(0, len(time_data)):
new_species.append(columns[iDataFrame + counter])
new_species = pd.Series(new_species)
###### measurment + reindex from e.g. [1:14] to [0:13]
new_measurment = expdata_file[columns[iDataFrame + counter]]
if str(new_measurment[0]).isdigit() == False:
del new_measurment[0]
new_measurment.reset_index(inplace=True, drop=True)
###### observable parameters
new_observables = []
sedml_file = libsedml.readSedML('./sedml_models/' + iModel + '/' + iModel + '.sedml')
# get number of tasks and observables
num_task = sedml_file.getNumTasks()
num_obs = sedml_file.getNumDataGenerators()
#for iTask in range(0, num_task): # each task with task_referance [no tasks needed]
#task_id = sedml_file.getTask(iTask).getId()
# create list with all parameter-ids to check for uniqueness
almost_all_par_id = []
# check if parameter in data generators even exist + if not, write pd.Series(NaN)
all_observables = []
for iObservable in range(0, num_obs):
num_par_all = sedml_file.getDataGenerator(iObservable).getNumParameters()
def compStaTraj_JWS(delete_counter, Algorithm, Iterative, Linear, Tolerances):
# create new folder for all json files
folder_path = './Whole_state_trajectory_comparison'
if not os.path.exists(folder_path):
os.makedirs(folder_path)
#if not os.path.exists('./json_folder'):
# os.makedirs('./json_folder')
# set settings for simulation
algorithm = [2] #[1, 2]
if Algorithm != '':
Index_correct_algorithm = algorithm.index(Algorithm)
algorithm = algorithm[Index_correct_algorithm:]
for solAlg in algorithm:
iterative = [2] #[1]
if Iterative != '':
Index_correct_nonlinsol = iterative.index(Iterative)
iterative = iterative[Index_correct_nonlinsol:]
for nonLinSol in iterative:
linearsol = [6, 7, 8, 9] #[1]
if Linear != '':
Index_correct_linearsol = linearsol.index(Linear)
linearsol = linearsol[Index_correct_linearsol:]
for linSol in linearsol:
Tolerance_combination = [[1e-6, 1e-8], [1e-8, 1e-6],
[1e-8, 1e-16], [1e-16, 1e-8],
[1e-10, 1e-12], [1e-12, 1e-10],
[1e-14, 1e-14]]
if Tolerances != '':
Index_correct_tolerances = Tolerance_combination.index(
Tolerances)
Tolerance_combination = Tolerance_combination[
Index_correct_tolerances:]
for iTolerance in Tolerance_combination:
start = time.time()
# split atol and rtol for naming purposes
_, atol_exp = str('{:.1e}'.format(
iTolerance[0])).split('-')
_, rtol_exp = str('{:.1e}'.format(
iTolerance[1])).split('-')
if len(atol_exp) != 2:
atol_exp = '0' + atol_exp
if len(rtol_exp) != 2:
rtol_exp = '0' + rtol_exp
# get name of jws reference
url = "https://jjj.bio.vu.nl/rest/models/?format=json"
view_source = requests.get(url)
json_string = view_source.text
json_dictionary = json.loads(json_string)
# get all models
list_directory_amici = sorted(
os.listdir('../sbml2amici/0.10.19_without_correct'))
if delete_counter != 0:
del list_directory_amici[0:delete_counter]
for iMod in range(0, len(list_directory_amici)):
iModel = list_directory_amici[iMod]
list_files = sorted(
os.listdir(
'../sbml2amici/0.10.19_without_correct/' +
iModel))
for iFile in list_files:
# important paths
json_save_path = folder_path + '/' + f'{solAlg}_{nonLinSol}_{linSol}_{atol_exp}_{rtol_exp}' \
+ '/json_files/' + iModel + '/' + iFile
sedml_path = './sedml_models/' + iModel + '/' + iModel + '.sedml'
sbml_path = './sedml_models/' + iModel + '/sbml_models/' + iFile + '.sbml'
BioModels_path = './BioModelsDatabase_models'
if os.path.exists(BioModels_path + '/' + iModel):
print('Model is not part of JWS-database!')
else:
# Open SBML file
sbml_model = libsbml.readSBML(sbml_path)
# get right model reference from sbml model
parse_name_model = sbml_model.getModel().getId(
)
for iCount in range(0, len(json_dictionary)):
parse_name_jws = json_dictionary[iCount][
'slug']
if parse_name_model == parse_name_jws:
model_reference = json_dictionary[
iCount]['slug']
break
# elements in json_dictionary are only lower case --- the sbml model has upper case models
try:
model_reference
except:
wrong_model_name = [
"".join(x)
for _, x in itertools.groupby(
parse_name_model, key=str.isdigit)
]
if wrong_model_name[0].islower() == False:
correct_model_letters = wrong_model_name[
0].lower()
correct_model_name = correct_model_letters + wrong_model_name[
1]
for iCount in range(
0, len(json_dictionary)):
parse_name_jws = json_dictionary[
iCount]['slug']
if correct_model_name == parse_name_jws:
model_reference = json_dictionary[
iCount]['slug']
break
# check if 'all_settings' works
try:
# Get whole model
model = all_settings(iModel, iFile)
# create folder
if not os.path.exists(json_save_path):
os.makedirs(json_save_path)
except:
print('Model ' + iModel +
' extension is missing!')
continue
######### jws simulation
# Get time data with num_time_points == 100
t_data = model.getTimepoints()
sim_start_time = t_data[0]
sim_end_time = t_data[len(t_data) - 1]
sim_num_time_points = 101
model.setTimepoints(
np.linspace(sim_start_time, sim_end_time,
sim_num_time_points))
# Open sedml file
sedml_model = libsedml.readSedML(sedml_path)
# import all changes from SEDML
list_of_strings = JWS_changeValues(
iFile, sedml_model)
# Get Url with all changes
# <species 1>=<amount>
# <parameter 1>=<value>, compartment == parameter (in this case)
url = 'https://jjj.bio.vu.nl/rest/models/' + model_reference + '/time_evolution?time_end=' + \
str(sim_end_time) + ';species=all;'
for iStr in list_of_strings:
url = url + iStr
#### Save .json file
urllib.request.urlretrieve(
url, json_save_path + '/' + iFile +
'_JWS_simulation.json')
#### write as .csv file
json_2_csv = pd.read_json(
json_save_path + '/' + iFile +
'_JWS_simulation.json')
json_2_csv.to_csv(json_save_path + '/' +
iFile +
'_JWS_simulation.csv',
sep='\t',
index=False)
# open new .csv file
tsv_file = pd.read_csv(json_save_path + '/' +
iFile +
'_JWS_simulation.csv',
sep='\t')
# columns names of .tsv file
column_names = list(tsv_file.columns)
column_names.remove('time')
del tsv_file['time']
########## model simulation
# Create solver instance
solver = model.getSolver()
# set all settings
solver.setAbsoluteTolerance(iTolerance[0])
solver.setRelativeTolerance(iTolerance[1])
solver.setLinearSolver(linSol)
solver.setNonlinearSolverIteration(nonLinSol)
solver.setLinearMultistepMethod(solAlg)
# set stability flag for Adams-Moulton
if solAlg == 1:
solver.setStabilityLimitFlag(False)
# Simulate model
sim_data = amici.runAmiciSimulation(
model, solver)
# print some values
for key, value in sim_data.items():
print('%12s: ' % key, value)
# Get state trajectory
state_trajectory = sim_data['x']
# Delete all trajectories for boundary conditions
delete_counter = 0
all_properties = sbml_model.getModel()
for iSpec in range(
0, all_properties.getNumSpecies()):
all_species = all_properties.getSpecies(
iSpec)
if all_species.getBoundaryCondition(
) == True:
state_trajectory = state_trajectory.transpose(
)
if delete_counter == 0:
state_trajectory = np.delete(
state_trajectory, iSpec, 0)
else:
state_trajectory = np.delete(
state_trajectory,
iSpec - delete_counter, 0)
state_trajectory = state_trajectory.transpose(
)
delete_counter = delete_counter + 1
# Convert ndarray 'state-trajectory' to data frame and save it
try:
df_state_trajectory = pd.DataFrame(
columns=column_names,
data=state_trajectory)
except:
print('Try again for model ' +
list_directory_amici[iMod] + '_' +
iFile)
compStaTraj_JWS(iMod, solAlg, nonLinSol,
linSol, iTolerance)
df_state_trajectory.to_csv(
json_save_path + '/' + iFile +
'_model_simulation.csv',
sep='\t')
end = time.time()
print(end - start)
# reset values - linear solver
Algorithm = ''
Iterative = ''
Linear = ''
Tolerances = ''
# reset values - nonlinear solver
Algorithm = ''
Iterative = ''
Linear = ''
Tolerances = ''
# reset values - solver algorithm
Algorithm = ''
Iterative = ''
Linear = ''
Tolerances = ''
print('All combinations have been satisfied!')
sys.exit()
print(phrasedml.getLastPhrasedError())
print(sedml_str)
# In[2]:
# Create the temporary files and execute the code
import tempfile
f_sbml = tempfile.NamedTemporaryFile(prefix="myModel", suffix=".xml")
f_sbml.write(sbml_str)
f_sbml.flush()
print(f_sbml.name)
f_sedml = tempfile.NamedTemporaryFile(suffix=".sedml")
f_sedml.write(sedml_str)
f_sedml.flush()
print(f_sedml.name)
import libsedml
sedml_doc = libsedml.readSedML(f_sedml.name)
if sedml_doc.getErrorLog().getNumFailsWithSeverity(libsedml.LIBSEDML_SEV_ERROR) > 0:
print(sedml_doc.getErrorLog().toString())
f_sbml.close()
f_sedml.close()
# Create executable python code sedml with roadrunner
# import tellurium.tesedml as s2p
# py_code = s2p.sedml_to_python(s2p)
def _adapt_and_save_model(model_details):
"""
This routine takes model information from the dataframe created during
model regrouping, adapts the SBML file, and saves it in the model folder
"""
# get and create info about the paths
sbml_file_name = model_details['sbml_path'].split('/')[-1]
final_folder = os.path.join(DIR_MODELS_REGROUPED, model_details['short_id'])
sedml_file_name = (model_details['sedml_path'].split('/')[-1]).split('.')[0]
if sedml_file_name == '':
final_file_name = os.path.join(final_folder, sbml_file_name)
else:
final_file_name = os.path.join(final_folder,
sedml_file_name.replace('-', '_') +
'__' + sbml_file_name)
# if we have no SED-ML file, the model is a biomodels model consisting of
# only one SBML sheet. Move this file to the new location
if model_details['sedml_path'] == '':
shutil.copy(model_details['sbml_path'], final_file_name)
return final_file_name
# if the model is from the JWS model collection, we must apply the changes
# from the SED-ML file
sedml_file = libsedml.readSedML(model_details['sedml_path'])
sedml_task = sedml_file.getTask(model_details['sedml_task'])
sbml_file = libsbml.readSBML(model_details['sbml_path'])
sbml_model = sbml_file.getModel()
# short consistency check that SBML model and SED-ML task fit together
assert sbml_file_name.split('.')[0] == sedml_task.getModelReference()
sedml_submodel = sedml_file.getModel(sedml_task.getModelReference())
logfile = open(os.path.join(DIR_BASE, 'sedml_change.log'), 'a')
for change in sedml_submodel.getListOfChanges():
# We iterate over all changes for this model in the SED-ML
target = change.getTarget()
value = change.getNewValue()
# decide for species or parameter
div = (target.split('[')[0]).split(':')[4]
target_id = target.split("'", )[1]
if div == 'species':
try:
sbml_model.getSpecies(target_id).initial_concentration = \
float(value)
except AttributeError:
if sbml_model.getSpecies(target_id) is None:
logfile.write(f'Trying to change initial concentration of species '
f'{target_id} via SED-ML file, but this species does '
f'not exist in the current SBML model '
f'({sbml_file_name}). Omitting!\n')
elif div == 'parameter':
try:
sbml_model.getParameter(target_id).value = float(value)
except AttributeError:
if sbml_model.getParameter(target_id) is None:
logfile.write(f'Trying to change sbml_model parameter {target_id}, '
f'via SED-ML file, but this parameter does not exist '
f'in the current SBML model ({sbml_file_name}).'
f'Omitting!\n')
elif div == 'compartment':
sbml_model.getCompartment(target_id).size = float(value)
else:
logfile.write(f'Trying to change a {div} in sbml_model '
f'{sbml_file_name}, which is currently not supported.'
f'Omitting!\n')
# save changed sbml files and the accompaniying sedml file
libsbml.writeSBMLToFile(sbml_model.getSBMLDocument(), final_file_name)
logfile.close()
return final_file_name
def main(args):
"""Usage: print_sedml input-filename
"""
if len(args) != 2:
print(main.__doc__)
sys.exit(1)
doc = libsedml.readSedML(args[1])
if (doc.getErrorLog().getNumFailsWithSeverity(libsedml.LIBSEDML_SEV_ERROR)
> 0):
print doc.getErrorLog().toString()
sys.exit(2)
print 'The document has {0}" simulation(s).'.format(
doc.getNumSimulations())
for i in range(0, doc.getNumSimulations()):
current = doc.getSimulation(i)
if (current.getTypeCode() ==
libsedml.SEDML_SIMULATION_UNIFORMTIMECOURSE):
tc = current
kisaoid = "none"
if tc.isSetAlgorithm():
kisaoid = tc.getAlgorithm().getKisaoID()
print "\tTimecourse id=", tc.getId(
), " start=", tc.getOutputStartTime(
), " end=", tc.getOutputEndTime(
), " numPoints=", tc.getNumberOfPoints(), " kisao=", kisaoid, "\n"
else:
print "\tUncountered unknown simulation. ", current.getId(), "\n"
print "\n"
print "The document has ", doc.getNumModels(), " model(s).", "\n"
for i in range(0, doc.getNumModels()):
current = doc.getModel(i)
print "\tModel id=", current.getId(
), " language=", current.getLanguage(), " source=", current.getSource(
), " numChanges=", current.getNumChanges(), "\n"
print "\n"
print "The document has ", doc.getNumTasks(), " task(s).", "\n"
for i in range(0, doc.getNumTasks()):
current = doc.getTask(i)
print "\tTask id=", current.getId(
), " model=", current.getModelReference(
), " sim=", current.getSimulationReference(), "\n"
print "\n"
print "The document has ", doc.getNumDataGenerators(
), " datagenerators(s).", "\n"
for i in range(0, doc.getNumDataGenerators()):
current = doc.getDataGenerator(i)
print "\tDG id=", current.getId(), " math=", libsedml.formulaToString(
current.getMath()), "\n"
print "\n"
print "The document has ", doc.getNumOutputs(), " output(s).", "\n"
for i in range(0, doc.getNumOutputs()):
current = doc.getOutput(i)
tc = current.getTypeCode()
if tc == libsedml.SEDML_OUTPUT_REPORT:
r = (current)
print "\tReport id=", current.getId(
), " numDataSets=", r.getNumDataSets(), "\n"
elif tc == libsedml.SEDML_OUTPUT_PLOT2D:
p = (current)
print "\tPlot2d id=", current.getId(
), " numCurves=", p.getNumCurves(), "\n"
elif tc == libsedml.SEDML_OUTPUT_PLOT3D:
p = (current)
print "\tPlot3d id=", current.getId(
), " numSurfaces=", p.getNumSurfaces(), "\n"
else:
print "\tEncountered unknown output ", current.getId(), "\n"
def plotObservables(iModel, iFile):
# call function 'getObservables()'
#getAllObservables(iModel,iFile)
# create folder for models with observables
if not os.path.exists('../sbml2amici/amici_models_with_observables'):
os.makedirs('../sbml2amici/amici_models_with_observables')
# loop over all models
#list_directory_sedml = os.listdir('./sedml_models')
#for iModel in list_directory_sedml:
# list_directory_sbml = os.listdir('./sedml_models' + iModel + '/sbml_models')
# for iFile in list_directory_sbml:
if os.path.exists(
'./BioModelsDatabase_models/' + iModel
): # no comparison for observables available, so no simulation needed
# important paths
model_output_dir = '../sbml2amici/amici_models_with_observables/' + iModel + '/' + iFile
model_path = './sedml_models/' + iModel + '/sbml_models_with_observables/' + iFile + '_with_observabels.xml' ##### needs automatisation
# sbml2amici import
sbml_importer = amici.SbmlImporter(model_path)
sbml_importer.sbml2amici(iModel, model_output_dir, verbose=False)
else:
# important paths
model_output_dir = '../sbml2amici/amici_models_with_observables/' + iModel + '/' + iFile
model_path = './sedml_models/' + iModel + '/sbml_models_with_observables/' + iFile + '_with_observabels.xml'
sedml_path = './sedml_models/' + iModel + '/' + iModel + '.sedml'
# get observables
sbml_doc = libsbml.readSBML(model_path)
model = sbml_doc.getModel()
observables = get_observables(model, False)
# sbml2amici import
sbml_importer = amici.SbmlImporter('./sedml_models/' + iModel +
'/sbml_models_with_observables/' +
iFile + '_with_observabels.xml')
sbml_importer.sbml2amici(iModel,
model_output_dir,
observables=observables,
verbose=False)
# load specific model
sys.path.insert(0, os.path.abspath(model_output_dir))
model_module = importlib.import_module(iModel)
model = model_module.getModel()
# set time points
sedml_file = libsedml.readSedML(sedml_path)
for iTask in range(0, sedml_file.getNumTasks()):
all_tasks = sedml_file.getTask(iTask)
tsk_Id = all_tasks.getId()
task_name = all_tasks.getName()
task_modRef = all_tasks.getModelReference()
task_simReference = all_tasks.getSimulationReference()
# time courses
try:
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
except: # need 'except' clause if more models have same time period
if all_simulations == None:
all_simulations = sedml_file.getSimulation(0)
sim_Id = all_simulations.getId()
try:
while task_simReference != sim_Id:
iTask = iTask + 1
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
except:
iTask = 0
while task_simReference != sim_Id:
all_simulations = sedml_file.getSimulation(iTask)
sim_Id = all_simulations.getId()
iTask = iTask + 1
sim_start_time = all_simulations.getOutputStartTime()
sim_end_time = all_simulations.getOutputEndTime()
sim_num_time_points = all_simulations.getNumberOfPoints()
model.setTimepoints(
np.linspace(sim_start_time, sim_end_time, sim_num_time_points))
# print observables
#print("Model observables: ", model.getObservableIds())
# get solver instance
#solver = model.getSolver()
# simulate model once
#sim_data = amici.runAmiciSimulation(model,solver)
# np.set_printoptions(threshold=8, edgeitems=2)
#for key, value in sim_data.items():
# print('%12s: ' % key, value)
# plot observable trajectories
#amici.plotting.plotObservableTrajectories(sim_data)
# amici.plotting.plotStateTrajectories(sim_data)
# show plot
#plt.show()
return model
def sedml_to_python(fullPathName): # full path name to SedML model
from os.path import basename
global modelname
modelName = os.path.splitext(basename(fullPathName))[0]
extension = os.path.splitext(basename(fullPathName))[1]
path = fullPathName.rsplit(basename(fullPathName), 1)[0]
class Tee(object):
def __init__(self, *files):
self.files = files
def write(self, obj):
for f in self.files:
f.write(obj)
if extension == ".sedx":
import unzipy as uz
zip = zipfile.ZipFile(fullPathName, 'r')
path = path + modelName
uz.unZip(path, zip)
zip.close()
fullPathName = uz.readManifest(path + "/manifest.xml")
k = fullPathName.rfind("/")
fullPathName = fullPathName[k + 1:]
fullPathName = path + "/" + fullPathName
sedmlDoc = libsedml.readSedML(fullPathName)
if sedmlDoc.getErrorLog().getNumFailsWithSeverity(
libsedml.LIBSEDML_SEV_ERROR) > 0:
print sedmlDoc.getErrorLog().toString()
sys.exit(2)
import StringIO
f = StringIO.StringIO()
original = sys.stdout
#sys.stdout = Tee(sys.stdout, f) # output to console and file
sys.stdout = Tee(f) # output to file only
print "# Translated SED-ML"
print "# Beginning of generated script"
print "import roadrunner"
print "import numpy as np"
print "import matplotlib.pyplot as plt"
print ""
for i in range(0, sedmlDoc.getNumModels()):
currentModel = sedmlDoc.getModel(i)
print "# Execute the tasks of model: " + currentModel.getId()
rrName = currentModel.getId()
#rrName = "rr" + str(i)
print rrName + " = roadrunner.RoadRunner()"
generateTasks(rrName, sedmlDoc, currentModel, path)
print ""
print "# List of Data Generators"
dataGeneratorsList = []
for i in range(0, sedmlDoc.getNumModels()):
currentModel = sedmlDoc.getModel(i)
generateData(sedmlDoc, currentModel, dataGeneratorsList)
print "# List of Outputs"
generateOutputs(sedmlDoc, dataGeneratorsList)
print "# End of generated script"
contents = f.getvalue()
sys.stdout = original # restore print to stdout only
f.close()
return contents
def changeValues(model, model_name, explicit_model):
# important paths
sedml_path = './sedml_models/' + model_name + '/' + model_name + '.sedml'
sbml_path = './sedml_models/' + model_name + '/sbml_models/' + explicit_model + '.sbml'
# do a case study if the sedml file exists or not (it doesn't exist for models of the BioModelsDatabase)
if os.path.exists(sedml_path):
# load SBML && SEDML models
sbml_file = libsbml.readSBML(sbml_path)
sedml_file = libsedml.readSedML(sedml_path)
# old species settings of SBML model that have to be replaced
all_properties = sbml_file.getModel()
spcs = all_properties.getListOfSpecies()
spcs_id = []
spcs_num = []
for iCount in range(0, len(spcs)):
spcs_id.append(spcs[iCount].id)
spcs_num.append(spcs[iCount].initial_concentration)
# old parameter settings of SBML model that have to be replaced
par_id = model.getParameterIds()
par_id = list(par_id) # probelm: some IDs get changed to 'amici_'
for iCount in range(0, len(par_id)):
try:
a, b = par_id[iCount].split('_', 1)
if a == 'amici':
par_id[iCount] = b
except:
'No split necessary!'
par_num = model.getParameters()
par_num = list(par_num)
# old compartment settings of SBML model that have to be replaced
all_properties = sbml_file.getModel()
comp = all_properties.getListOfCompartments()
comp_id = []
comp_num = []
for iCount in range(0, len(comp)):
comp_id.append(comp[iCount].id)
comp_num.append(comp[iCount].size)
# new settings of SEDML parameters
for iModels in range(0, sedml_file.getNumModels()):
all_models = sedml_file.getModel(iModels)
for iAttribute in range(0, all_models.getNumChanges()):
all_changes = all_models.getChange(iAttribute)
new_targ = all_changes.getTarget()
new_val = all_changes.getNewValue()
# decide for species or parameter
div = new_targ.split('[')
div = div[0]
div = div.split(':')
div = div[4]
if div == 'species':
# parse right id out of new_targ string
id = new_targ.split('\'', )
id = id[1]
# counter
counter = 0
try: # SBML model sometimes doesn't have the SEDML ID
# swap species settings
while id != spcs_id[counter]:
counter = counter + 1
spcs_num[counter] = new_val
except:
# species id from SEDML not in SBML
'Species-ID can be omitted'
elif div == 'parameter':
# parse right id out of new_targ string
id = new_targ.split('\'', )
id = id[1]
# counter
counter = 0
try:
# swap parameter settings
while id != par_id[counter]:
counter = counter + 1
par_num[counter] = new_val
except:
# parameter id from SEDML not in SBML
'Parameter-ID can be omitted'
elif div == 'compartment':
# parse right id out of new_targ string
id = new_targ.split('\'', )
id = id[1]
# counter
counter = 0
try: # SBML model sometimes doesn't have the SEDML ID
# swap compartment settings
while id != comp_id[counter]:
counter = counter + 1
comp_num[counter] = new_val
except:
# species id from SEDML not in SBML
'Compartment-ID can be omitted'
# transform par_num into an array
par_num = np.asarray(par_num) # is never being reached
p_num = []
for iCount in range(0, len(par_num)):
p_num.append(float(par_num[iCount]))
# transform spcs_id into an array
spcs_num = np.asarray(spcs_num)
s_num = []
for iCount in range(0, len(spcs_num)):
s_num.append(float(spcs_num[iCount]))
# replace old vector by new one
model.setParameters(p_num)
model.setInitialStates(s_num)
else:
'Model is part of the BioModelsDatabase!'
return model
def changeValues_for_Copasi(model, model_name, explicit_model):
# important paths
biomodels_path = './sedml_models/' + model_name + '/sbml_models/' + explicit_model + '.xml'
sedml_path = './sedml_models/' + model_name + '/' + model_name + '.sedml'
sbml_path = './sedml_models/' + model_name + '/sbml_models/' + explicit_model + '.sbml'
save_path = '../copasi_sim'
# create folder
if not os.path.exists(save_path + '/' + model_name + '/' + explicit_model):
os.makedirs(save_path + '/' + model_name + '/' + explicit_model)
# do a case study if the sedml file exists or not (it doesn't exist for models of the BioModelsDatabase)
if os.path.exists(sedml_path):
# load SBML && SEDML models
sbml_file = libsbml.readSBML(sbml_path)
sedml_file = libsedml.readSedML(sedml_path)
# old species settings of SBML model that have to be replaced
all_properties = sbml_file.getModel()
spcs = all_properties.getListOfSpecies()
spcs_id = []
spcs_num = []
for iCount in range(0, len(spcs)):
spcs_id.append(spcs[iCount].id)
spcs_num.append(spcs[iCount].initial_concentration)
# old parameter settings of SBML model that have to be replaced
par_id = model.getParameterIds()
par_id = list(par_id) # probelm: some IDs get changed to 'amici_'
for iCount in range(0, len(par_id)):
try:
a, b = par_id[iCount].split('_', 1)
if a == 'amici':
par_id[iCount] = b
except:
'No split necessary!'
par_num = model.getParameters()
par_num = list(par_num)
# old compartment settings of SBML model that have to be replaced
comp = all_properties.getListOfCompartments()
comp_id = []
comp_num = []
for iCount in range(0, len(comp)):
comp_id.append(comp[iCount].id)
comp_num.append(comp[iCount].size)
# new settings of SEDML parameters
for iModels in range(0, sedml_file.getNumModels()):
all_models = sedml_file.getModel(iModels)
for iAttribute in range(0, all_models.getNumChanges()):
all_changes = all_models.getChange(iAttribute)
new_targ = all_changes.getTarget()
new_val = all_changes.getNewValue()
# decide for species or parameter
div = new_targ.split('[')
div = div[0]
div = div.split(':')
div = div[4]
if div == 'species':
# parse right id out of new_targ string
id = new_targ.split('\'', )
id = id[1]
# counter
counter = 0
try: # SBML model sometimes doesn't have the SEDML ID
# swap species settings
while id != spcs_id[counter]:
counter = counter + 1
all_properties.getSpecies(counter).initial_concentration = float(new_val)
except:
# species id from SEDML not in SBML
'Species-ID can be omitted'
elif div == 'parameter':
# parse right id out of new_targ string
id = new_targ.split('\'',)
id = id[1]
# counter
counter = 0
try:
# swap parameter settings
while id != par_id[counter]:
counter = counter + 1
all_properties.getParameter(counter).value = float(new_val)
except:
# parameter id from SEDML not in SBML
'Parameter-ID can be omitted'
elif div == 'compartment':
# parse right id out of new_targ string
id = new_targ.split('\'', )
id = id[1]
# counter
counter = 0
try: # SBML model sometimes doesn't have the SEDML ID
# swap compartment settings
while id != comp_id[counter]:
counter = counter + 1
all_properties.getCompartment(counter).size = float(new_val)
except:
# species id from SEDML not in SBML
'Compartment-ID can be omitted'
# save changed sbml files and the accompaniying sedml file
libsbml.writeSBMLToFile(sbml_file, save_path + '/' + model_name + '/' + explicit_model + '/' + model_name + '.sbml')
libsedml.writeSedMLToFile(sedml_file, save_path + '/' + model_name + '/' + explicit_model + '/' + model_name + '.sedml')
elif os.path.exists(biomodels_path):
'Model is part of the BioModelsDatabase! - no changes possible since no sedml file exists!'
copy2(biomodels_path, save_path + '/' + model_name + '/' + explicit_model)
else:
print('Something with the paths went wrong!')
sys.exit()
def read(file_name):
""" Imports simulation configuration from SED-ML file
Args:
file_name (:obj:`str`): path to SED-ML file from which to import simulation configuration
Returns:
:obj:`WCSimulationConfig`: simulation configuration
"""
# initialize optional configuration
opt_config = {}
""" read SED-ML """
# read XML file
cfg_ml = libsedml.readSedML(file_name)
""" validate SED-ML """
# one model with
# - zero or more attribute changes
if cfg_ml.getNumModels() != 1:
raise SedMlError('SED-ML configuration must have one model')
mdl = cfg_ml.getModel(0)
if mdl.getId() or mdl.getName() or mdl.getLanguage() or mdl.getSource(
):
warnings.warn(
'SED-ML import ignoring all model metadata (id, name, language, source)',
SedMlWarning)
for change_ml in mdl.getListOfChanges():
if not isinstance(change_ml, libsedml.SedChangeAttribute):
raise SedMlError(
'Cannot import model changes except attribute changes')
# 1 simulation with
#- Initial time = 0
#- Output start time = 0
#- Algorithm = KISAO_0000352 (hybrid)
#- 1 algorithm parameters
# - random_seed (KISAO_0000488): int
if cfg_ml.getNumSimulations() != 1:
raise SedMlError('SED-ML configuration must have 1 simulation')
sim_ml = cfg_ml.getSimulation(0)
if sim_ml.getInitialTime() != sim_ml.getOutputStartTime():
raise SedMlError(
'Simulation initial time and output start time must be equal')
alg_ml = sim_ml.getAlgorithm()
if alg_ml.getKisaoID() != 'KISAO_0000352':
raise SedMlError(
'Unsupported algorithm. The only supported algorithm is KISAO_0000352 (hybrid)'
)
param_kisao_ids = set(
param_ml.getKisaoID()
for param_ml in alg_ml.getListOfAlgorithmParameters())
if len(param_kisao_ids) < alg_ml.getNumAlgorithmParameters():
raise SedMlError('Algorithm parameter KISAO ids must be unique')
unsupported_param_kisao_ids = param_kisao_ids - set(['KISAO_0000488'])
if unsupported_param_kisao_ids:
raise SedMlError(
'Algorithm parameters ({}) are not supported'.format(
', '.join(unsupported_param_kisao_ids)))
# zero or more repeated tasks each with
# - 1 set value task change
# - math equal to constant floating point value
# - 1 uniform or vector range of 1 value
# - no subtasks
for task_ml in cfg_ml.getListOfTasks():
if isinstance(task_ml, libsedml.SedRepeatedTask):
if task_ml.getNumTaskChanges() != 1:
raise SedMlError(
'Each repeated task must have one task change')
change_ml = task_ml.getTaskChange(0)
try:
float(libsedml.formulaToString(change_ml.getMath()))
except ValueError:
raise SedMlError(
'Set value maths must be floating point values')
if task_ml.getNumRanges() != 1:
raise SedMlError('Each repeated task must have one range')
range_ml = task_ml.getRange(0)
if not isinstance(
range_ml,
(libsedml.SedUniformRange, libsedml.SedVectorRange)):
raise SedMlError(
'Task ranges must be uniform or vector ranges')
if isinstance(range_ml, libsedml.SedUniformRange
) and range_ml.getNumberOfPoints() != 2**31 - 1:
raise SedMlError('Cannot import number of points')
if isinstance(range_ml, libsedml.SedUniformRange
) and range_ml.getType() != 'linear':
raise SedMlError('Only linear ranges are supported')
if isinstance(range_ml, libsedml.SedVectorRange) and len(
list(range_ml.getValues())) != 1:
raise SedMlError('Task vector ranges must have length 1')
if task_ml.getNumSubTasks() > 0:
raise SedMlError('Cannot import subtasks')
else:
raise SedMlError('Cannot import tasks except repeated tasks')
# no data generators
if cfg_ml.getNumDataGenerators() > 0:
raise SedMlError('Cannot import data generator information')
# no data descriptions
if cfg_ml.getNumDataDescriptions() > 0:
raise SedMlError('Cannot import data description information')
# no outputs
if cfg_ml.getNumOutputs() > 0:
raise SedMlError('Cannot import output information')
""" Read simulation configuration information from SED-ML document """
# changes
changes = []
mdl = cfg_ml.getModel(0)
for change_ml in mdl.getListOfChanges():
target = change_ml.getTarget()
change = Change()
change.attr_path = Change.attr_path_from_str(change_ml.getTarget())
change.value = float(change_ml.getNewValue())
changes.append(change)
# perturbations
perturbations = []
for task_ml in cfg_ml.getListOfTasks():
change_ml = task_ml.getTaskChange(0)
change = Change()
change.attr_path = Change.attr_path_from_str(change_ml.getTarget())
change.value = float(libsedml.formulaToString(change_ml.getMath()))
range_ml = task_ml.getRange(0)
if isinstance(range_ml, libsedml.SedUniformRange):
start_time = range_ml.getStart()
end_time = range_ml.getEnd()
else:
start_time = range_ml.getValues()[0]
end_time = float('nan')
perturbations.append(Perturbation(change, start_time, end_time))
# time
sim = cfg_ml.getSimulation(0)
time_init = sim.getOutputStartTime()
time_max = sim.getOutputEndTime()
ode_time_step = (time_max - time_init) / sim.getNumberOfPoints()
# algorithm parameters
alg = sim.getAlgorithm()
for param in alg.getListOfAlgorithmParameters():
if param.getKisaoID() == 'KISAO_0000488':
try:
opt_config['random_seed'] = float(param.getValue())
except ValueError:
raise SedMlError('random_seed must be an integer')
if opt_config['random_seed'] != math.ceil(
opt_config['random_seed']):
raise SedMlError('random_seed must be an integer')
opt_config['random_seed'] = int(opt_config['random_seed'])
""" build simulation configuration object """
de_simulation_config = SimulationConfig(time_max=time_max,
time_init=time_init)
cfg = WCSimulationConfig(de_simulation_config=de_simulation_config,
ode_time_step=ode_time_step,
changes=changes,
perturbations=perturbations,
**opt_config)
return cfg
if sedml_str == None:
print(phrasedml.getLastPhrasedError())
print(sedml_str)
# In[2]:
# Create the temporary files and execute the code
import tempfile
f_sbml = tempfile.NamedTemporaryFile(prefix="myModel", suffix=".xml")
f_sbml.write(sbml_str)
f_sbml.flush()
print(f_sbml.name)
f_sedml = tempfile.NamedTemporaryFile(suffix=".sedml")
f_sedml.write(sedml_str)
f_sedml.flush()
print(f_sedml.name)
import libsedml
sedml_doc = libsedml.readSedML(f_sedml.name)
if sedml_doc.getErrorLog().getNumFailsWithSeverity(
libsedml.LIBSEDML_SEV_ERROR) > 0:
print(sedml_doc.getErrorLog().toString())
f_sbml.close()
f_sedml.close()
# Create executable python code sedml with roadrunner
# import tellurium.tesedml as s2p
# py_code = s2p.sedml_to_python(s2p)
os.makedirs('./json_files/' + iModel + '/' + iFile)
except:
print('Model ' + iModel + ' extension is missing!') # error 2
continue
######### jws simulation
# Get time data with num_time_points == 100
t_data = model.getTimepoints()
sim_start_time = t_data[0]
sim_end_time = t_data[len(t_data) - 1]
sim_num_time_points = 101 #len(t_data)
model.setTimepoints(
np.linspace(sim_start_time, sim_end_time, sim_num_time_points))
# Open sedml file
sedml_model = libsedml.readSedML(sedml_path)
# import all changes from SEDML
list_of_strings = JWS_changeValues(iFile, sedml_model)
# Get Url with all changes
# <species 1>=<amount>
# <parameter 1>=<value>, compartment == parameter (in this case)
url = 'https://jjj.bio.vu.nl/rest/models/' + model_reference + '/time_evolution?time_end=' + str(
sim_end_time) + ';species=all;'
for iStr in list_of_strings:
url = url + iStr
#### Save .json file
urllib.request.urlretrieve(
list_files = os.listdir(base_path_sbml2amici + '/' + iModel)
list_files = sorted(
list_files
) # sorted() could maybe change the order needed for later
for iFile in list_files:
try:
# run function
model = load_specific_model(iModel, iFile)
# open sedml to get tasks + time courses
sedml_path = './sedml_models/' + iModel + '/' + iModel + '.sedml'
# tasks
sedml_file = libsedml.readSedML(sedml_path)
for iSBMLModel in range(0, sedml_file.getNumTasks()):
all_tasks = sedml_file.getTask(iSBMLModel)
tsk_Id = all_tasks.getId()
task_name = all_tasks.getName()
task_modRef = all_tasks.getModelReference()
task_simReference = all_tasks.getSimulationReference()
# time courses
all_simulations = sedml_file.getSimulation(iSBMLModel)
sim_Id = all_simulations.getId()
while task_simReference != sim_Id:
iSBMLModel = iSBMLModel + 1 # only works if the list of models are somehow chronological and not random [iff task1 appears before task2]
all_simulations = sedml_file.getSimulation(iSBMLModel)
sim_Id = all_simulations.getId()
