Example #1
0
    def runQsub(self, data, cluster_info):
        logging.error("*" * 80)
        logging.error("parametersweep.runQsub() modelType={0}".format(
            data['modelType']))
        logging.error("*" * 80)

        modelDb = StochKitModelWrapper.get_by_id(data["modelID"])
        path = os.path.abspath(os.path.dirname(__file__))
        basedir = path + '/../'
        dataDir = tempfile.mkdtemp(dir=basedir + 'output')
        job = ParameterSweepJobWrapper()
        job.user_id = self.user.user_id()
        job.startTime = time.strftime("%Y-%m-%d-%H-%M-%S")
        job.name = data["jobName"]
        job.inData = json.dumps(data)
        job.modelName = modelDb.name
        job.outData = dataDir
        job.status = "Pending"
        job.output_stored = False

        try:
            templateData = {
                "name": modelDb.name,
                "modelType": modelDb.type,
                "species": modelDb.species,
                "parameters": modelDb.parameters,
                "reactions": modelDb.reactions,
                "speciesSelect": data['speciesSelect'],
                "maxTime": data['maxTime'],
                "increment": data['increment'],
                "trajectories": data['trajectories'],
                "seed": data['seed'],
                "parameterA": data['parameterA'],
                "minValueA": data['minValueA'],
                "maxValueA": data['maxValueA'],
                "stepsA": data['stepsA'],
                "logA": data['logA'],
                "parameterB": data['parameterB'],
                "minValueB": data['minValueB'],
                "maxValueB": data['maxValueB'],
                "stepsB": data['stepsB'],
                "logB": data['logB'],
                "variableCount": data['variableCount'],
                "isSpatial": modelDb.isSpatial,
                "isLocal": True
            }

            if modelDb.isSpatial:
                try:
                    meshWrapperDb = mesheditor.MeshWrapper.get_by_id(
                        modelDb.spatial["mesh_wrapper_id"])
                except Exception as e:
                    logging.exception(e)
                    logging.error(
                        "No Mesh file set. Choose one in the Mesh tab of the Model Editor"
                    )
                    raise Exception(
                        "No Mesh file set. Choose one in the Mesh tab of the Model Editor"
                    )
                try:
                    meshFileObj = fileserver.FileManager.getFile(
                        self, meshWrapperDb.meshFileId, noFile=False)
                    templateData["mesh"] = meshFileObj["data"]
                except IOError as e:
                    logging.exception(e)
                    logging.error("Mesh file inaccessible. Try another mesh")
                    raise Exception("Mesh file inaccessible. Try another mesh")

                templateData[
                    'reaction_subdomain_assignments'] = modelDb.spatial[
                        "reactions_subdomain_assignments"]
                templateData[
                    'species_subdomain_assignments'] = modelDb.spatial[
                        "species_subdomain_assignments"]
                templateData[
                    'species_diffusion_coefficients'] = modelDb.spatial[
                        "species_diffusion_coefficients"]
                templateData['initial_conditions'] = modelDb.spatial[
                    "initial_conditions"]
                templateData['subdomains'] = meshWrapperDb.subdomains

            if data['modelType'] == "stochastic":
                job.qsubHandle = pickle.dumps(
                    parametersweep_qsub.stochastic(templateData, cluster_info))
            elif data['modelType'] == "deterministic":
                job.qsubHandle = pickle.dumps(
                    parametersweep_qsub.deterministic(templateData,
                                                      cluster_info))
            elif data['modelType'] == "spatial":
                job.qsubHandle = pickle.dumps(
                    parametersweep_qsub.spatial(templateData, cluster_info))
            else:
                raise Exception(
                    "Trying to runQsub on unsupported modelType {0}".format(
                        data['modelType']))

            job.resource = "qsub"
            job.put()
        except Exception as e:
            logging.exception(e)
            job.status = 'Failed'
            job.delete(self)
            raise

        return job
Example #2
0
    def runQsub(self, data, cluster_info):
        logging.error("*"*80)
        logging.error("parametersweep.runQsub() modelType={0}".format(data['modelType']))
        logging.error("*"*80)

        modelDb = StochKitModelWrapper.get_by_id(data["modelID"])
        path = os.path.abspath(os.path.dirname(__file__))
        basedir = path + '/../'
        dataDir = tempfile.mkdtemp(dir = basedir + 'output')
        job = ParameterSweepJobWrapper()
        job.user_id = self.user.user_id()
        job.startTime = time.strftime("%Y-%m-%d-%H-%M-%S")
        job.name = data["jobName"]
        job.inData = json.dumps(data)
        job.modelName = modelDb.name
        job.outData = dataDir
        job.status = "Pending"
        job.output_stored = False

        try:
            templateData = {
                "name" : modelDb.name,
                "modelType" : modelDb.type,
                "species" : modelDb.species,
                "parameters" : modelDb.parameters,
                "reactions" : modelDb.reactions,
                "speciesSelect" : data['speciesSelect'],
                "maxTime" : data['maxTime'],
                "increment" : data['increment'],
                "trajectories" : data['trajectories'],
                "seed" : data['seed'],
                "parameterA" : data['parameterA'],
                "minValueA" : data['minValueA'],
                "maxValueA" : data['maxValueA'],
                "stepsA" : data['stepsA'],
                "logA" : data['logA'],
                "parameterB" : data['parameterB'],
                "minValueB" : data['minValueB'],
                "maxValueB" : data['maxValueB'],
                "stepsB" : data['stepsB'],
                "logB" : data['logB'],
                "variableCount" : data['variableCount'],
                "isSpatial" : modelDb.isSpatial,
                "isLocal" : True
            }

            if modelDb.isSpatial:
                try:
                    meshWrapperDb = mesheditor.MeshWrapper.get_by_id(modelDb.spatial["mesh_wrapper_id"])
                except Exception as e:
                    logging.exception(e)
                    logging.error("No Mesh file set. Choose one in the Mesh tab of the Model Editor")
                    raise Exception("No Mesh file set. Choose one in the Mesh tab of the Model Editor")
                try:
                    meshFileObj = fileserver.FileManager.getFile(self, meshWrapperDb.meshFileId, noFile = False)
                    templateData["mesh"] = meshFileObj["data"]
                except IOError as e:
                    logging.exception(e)
                    logging.error("Mesh file inaccessible. Try another mesh")
                    raise Exception("Mesh file inaccessible. Try another mesh")

                templateData['reaction_subdomain_assignments'] = modelDb.spatial["reactions_subdomain_assignments"]
                templateData['species_subdomain_assignments'] = modelDb.spatial["species_subdomain_assignments"]
                templateData['species_diffusion_coefficients'] = modelDb.spatial["species_diffusion_coefficients"]
                templateData['initial_conditions'] = modelDb.spatial["initial_conditions"]
                templateData['subdomains'] = meshWrapperDb.subdomains

            if data['modelType'] == "stochastic":
                job.qsubHandle = pickle.dumps(parametersweep_qsub.stochastic(templateData, cluster_info))
            elif data['modelType'] == "deterministic":
                job.qsubHandle = pickle.dumps(parametersweep_qsub.deterministic(templateData, cluster_info))
            elif data['modelType'] == "spatial":
                job.qsubHandle = pickle.dumps(parametersweep_qsub.spatial(templateData, cluster_info))
            else:
                raise Exception("Trying to runQsub on unsupported modelType {0}".format(data['modelType']))

            job.resource = "qsub"
            job.put()
        except Exception as e:
            logging.exception(e)
            job.status='Failed'
            job.delete(self)
            raise

        return job