X-Git-Url: http://git.salome-platform.org/gitweb/?a=blobdiff_plain;f=src%2FdaEficas%2Fgenerator_adao.py;h=0bd1bfff841ed4f467139f5807401715d49de02d;hb=b4ec54a708ac4f11e9c710edd09219849ebf3242;hp=791e72470d91d41ff9d9d194e5c3a2383e0f045b;hpb=5688018f72562dd75e4d5c1d5050611e11ec3baf;p=modules%2Fadao.git diff --git a/src/daEficas/generator_adao.py b/src/daEficas/generator_adao.py index 791e724..0bd1bff 100644 --- a/src/daEficas/generator_adao.py +++ b/src/daEficas/generator_adao.py @@ -1,5 +1,8 @@ # -*- coding: utf-8 -*- -# Copyright (C) 2010-2011 EDF R&D +# +# Copyright (C) 2008-2017 EDF R&D +# +# This file is part of SALOME ADAO module # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public @@ -19,8 +22,6 @@ # # Author: André Ribes, andre.ribes@edf.fr, EDF R&D -print "import generator_adao" - from generator.generator_python import PythonGenerator import traceback import logging @@ -49,12 +50,12 @@ class AdaoGenerator(PythonGenerator): self.logger = logging.getLogger('ADAO EFICAS GENERATOR') self.logger.setLevel(logging.INFO) ch = logging.StreamHandler() - ch.setLevel(logging.DEBUG) + ch.setLevel(logging.INFO) formatter = logging.Formatter("%(name)s - %(levelname)s - %(message)s") ch.setFormatter(formatter) self.logger.addHandler(ch) - def gener(self,obj,format='brut',config=None): + def gener(self,obj,format='brut',config=None,appli=None): self.logger.debug("method gener called") self.text_comm = PythonGenerator.gener(self, obj, format, config) for key, value in self.dictMCVal.iteritems(): @@ -65,15 +66,15 @@ class AdaoGenerator(PythonGenerator): self.generate_da() self.text_da_status = True except: - self.logger.info("Case is not correct, python command file for YACS schema generation cannot be created") + self.logger.debug("EFICAS case is not valid, python command file for YACS schema generation cannot be created") self.logger.debug(self.text_da) self.dictMCVal = {} - traceback.print_exc() + # traceback.print_exc() return self.text_comm def writeDefault(self, fn): if self.text_da_status: - print "write adao python command file" + self.logger.debug("write adao python command file") filename = fn[:fn.rfind(".")] + '.py' f = open( str(filename), 'wb') f.write( self.text_da ) @@ -92,42 +93,69 @@ class AdaoGenerator(PythonGenerator): return s def generate_da(self): - + + if "__CHECKING_STUDY__StudyName" in self.dictMCVal.keys(): + self.type_of_study = "CHECKING_STUDY" + else: + self.type_of_study = "ASSIMILATION_STUDY" + self.text_da += "#-*-coding:iso-8859-1-*- \n" self.text_da += "study_config = {} \n" - # Extraction de Study_name - self.text_da += "study_config['Name'] = '" + self.dictMCVal["__ASSIMILATION_STUDY__Study_name"] + "'\n" + # Extraction de Study_type + self.text_da += "study_config['StudyType'] = '" + self.type_of_study + "'\n" + # Extraction de StudyName + self.text_da += "study_config['Name'] = '" + self.dictMCVal["__"+self.type_of_study+"__StudyName"] + "'\n" # Extraction de Debug - self.text_da += "study_config['Debug'] = '" + str(self.dictMCVal["__ASSIMILATION_STUDY__Debug"]) + "'\n" - # Extraction de Algorithm - self.text_da += "study_config['Algorithm'] = '" + self.dictMCVal["__ASSIMILATION_STUDY__Algorithm"] + "'\n" - - self.add_data("Background") - self.add_data("BackgroundError") - self.add_data("Observation") - self.add_data("ObservationError") - self.add_data("ObservationOperator") + if "__"+self.type_of_study+"__Debug" in self.dictMCVal.keys(): + self.text_da += "study_config['Debug'] = '" + str(self.dictMCVal["__"+self.type_of_study+"__Debug"]) + "'\n" + else: + self.text_da += "study_config['Debug'] = '0'\n" + + # Extraction de Algorithm et de ses parametres + if "__"+self.type_of_study+"__AlgorithmParameters__Algorithm" in self.dictMCVal.keys(): + self.text_da += "study_config['Algorithm'] = '" + self.dictMCVal["__"+self.type_of_study+"__AlgorithmParameters__Algorithm"] + "'\n" + self.add_AlgorithmParameters() + elif "__"+self.type_of_study+"__Algorithm" in self.dictMCVal.keys(): + self.text_da += "study_config['Algorithm'] = '" + self.dictMCVal["__"+self.type_of_study+"__Algorithm"] + "'\n" + + if "__"+self.type_of_study+"__Background__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("Background") + if "__"+self.type_of_study+"__BackgroundError__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("BackgroundError") + if "__"+self.type_of_study+"__Observation__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("Observation") + if "__"+self.type_of_study+"__ObservationError__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("ObservationError") + if "__"+self.type_of_study+"__CheckingPoint__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("CheckingPoint") + if "__"+self.type_of_study+"__ObservationOperator__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("ObservationOperator") + if "__"+self.type_of_study+"__EvolutionModel__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("EvolutionModel") + if "__"+self.type_of_study+"__EvolutionError__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("EvolutionError") + if "__"+self.type_of_study+"__ControlInput__INPUT_TYPE" in self.dictMCVal.keys(): + self.add_data("ControlInput") self.add_variables() # Parametres optionnels - # Extraction du Study_repertory - if "__ASSIMILATION_STUDY__Study_repertory" in self.dictMCVal.keys(): - self.text_da += "study_config['Repertory'] = '" + self.dictMCVal["__ASSIMILATION_STUDY__Study_repertory"] + "'\n" - # Extraction de AlgorithmParameters - if "__ASSIMILATION_STUDY__AlgorithmParameters__INPUT_TYPE" in self.dictMCVal.keys(): - self.add_algorithm_parameters() + # Extraction du StudyRepertory + if "__"+self.type_of_study+"__StudyRepertory" in self.dictMCVal.keys(): + self.text_da += "study_config['Repertory'] = '" + self.dictMCVal["__"+self.type_of_study+"__StudyRepertory"] + "'\n" # Extraction de UserPostAnalysis - if "__ASSIMILATION_STUDY__UserPostAnalysis__FROM" in self.dictMCVal.keys(): + if "__"+self.type_of_study+"__UserPostAnalysis__FROM" in self.dictMCVal.keys(): self.add_UserPostAnalysis() - if "__ASSIMILATION_STUDY__UserDataInit__INIT_FILE" in self.dictMCVal.keys(): + if "__"+self.type_of_study+"__UserDataInit__INIT_FILE" in self.dictMCVal.keys(): self.add_init() + if "__"+self.type_of_study+"__Observers__SELECTION" in self.dictMCVal.keys(): + self.add_observers() def add_data(self, data_name): # Extraction des données - search_text = "__ASSIMILATION_STUDY__" + data_name + "__" + search_text = "__"+self.type_of_study+"__" + data_name + "__" data_type = self.dictMCVal[search_text + "INPUT_TYPE"] search_type = search_text + data_type + "__data__" from_type = self.dictMCVal[search_type + "FROM"] @@ -136,124 +164,286 @@ class AdaoGenerator(PythonGenerator): data = self.dictMCVal[search_type + "STRING_DATA__STRING"] elif from_type == "Script": data = self.dictMCVal[search_type + "SCRIPT_DATA__SCRIPT_FILE"] + elif from_type == "ScriptWithSwitch": + data = self.dictMCVal[search_type + "SCRIPTWITHSWITCH_DATA__SCRIPTWITHSWITCH_FILE"] + elif from_type == "ScriptWithFunctions": + data = self.dictMCVal[search_type + "SCRIPTWITHFUNCTIONS_DATA__SCRIPTWITHFUNCTIONS_FILE"] + elif from_type == "ScriptWithOneFunction": + data = self.dictMCVal[search_type + "SCRIPTWITHONEFUNCTION_DATA__SCRIPTWITHONEFUNCTION_FILE"] elif from_type == "FunctionDict": data = self.dictMCVal[search_type + "FUNCTIONDICT_DATA__FUNCTIONDICT_FILE"] else: raise Exception('From Type unknown', from_type) if from_type == "String" or from_type == "Script": - self.text_da += data_name + "_config = {} \n" - self.text_da += data_name + "_config['Type'] = '" + data_type + "' \n" - self.text_da += data_name + "_config['From'] = '" + from_type + "' \n" - self.text_da += data_name + "_config['Data'] = '" + data + "' \n" - self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config \n" + self.text_da += data_name + "_config = {}\n" + self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n" + self.text_da += data_name + "_config['From'] = '" + from_type + "'\n" + self.text_da += data_name + "_config['Data'] = '" + data + "'\n" + if search_text+"Stored" in self.dictMCVal.keys(): + self.text_da += data_name + "_config['Stored'] = '" + str(self.dictMCVal[search_text+"Stored"]) + "'\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" + + if from_type == "ScriptWithSwitch": + self.text_da += data_name + "_ScriptWithSwitch = {}\n" + self.text_da += data_name + "_ScriptWithSwitch['Function'] = ['Direct', 'Tangent', 'Adjoint']\n" + self.text_da += data_name + "_ScriptWithSwitch['Script'] = {}\n" + self.text_da += data_name + "_ScriptWithSwitch['Script']['Direct'] = '" + data + "'\n" + self.text_da += data_name + "_ScriptWithSwitch['Script']['Tangent'] = '" + data + "'\n" + self.text_da += data_name + "_ScriptWithSwitch['Script']['Adjoint'] = '" + data + "'\n" + self.text_da += data_name + "_config = {}\n" + self.text_da += data_name + "_config['Type'] = 'Function'\n" + self.text_da += data_name + "_config['From'] = 'ScriptWithSwitch'\n" + self.text_da += data_name + "_config['Data'] = " + data_name + "_ScriptWithSwitch\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" + + if from_type == "ScriptWithFunctions": + self.text_da += data_name + "_ScriptWithFunctions = {}\n" + self.text_da += data_name + "_ScriptWithFunctions['Function'] = ['Direct', 'Tangent', 'Adjoint']\n" + self.text_da += data_name + "_ScriptWithFunctions['Script'] = {}\n" + self.text_da += data_name + "_ScriptWithFunctions['Script']['Direct'] = '" + data + "'\n" + self.text_da += data_name + "_ScriptWithFunctions['Script']['Tangent'] = '" + data + "'\n" + self.text_da += data_name + "_ScriptWithFunctions['Script']['Adjoint'] = '" + data + "'\n" + self.text_da += data_name + "_config = {}\n" + self.text_da += data_name + "_config['Type'] = 'Function'\n" + self.text_da += data_name + "_config['From'] = 'ScriptWithFunctions'\n" + self.text_da += data_name + "_config['Data'] = " + data_name + "_ScriptWithFunctions\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" + + if from_type == "ScriptWithOneFunction": + self.text_da += data_name + "_ScriptWithOneFunction = {}\n" + self.text_da += data_name + "_ScriptWithOneFunction['Function'] = ['Direct', 'Tangent', 'Adjoint']\n" + self.text_da += data_name + "_ScriptWithOneFunction['Script'] = {}\n" + self.text_da += data_name + "_ScriptWithOneFunction['Script']['Direct'] = '" + data + "'\n" + self.text_da += data_name + "_ScriptWithOneFunction['Script']['Tangent'] = '" + data + "'\n" + self.text_da += data_name + "_ScriptWithOneFunction['Script']['Adjoint'] = '" + data + "'\n" + self.text_da += data_name + "_ScriptWithOneFunction['DifferentialIncrement'] = " + str(float(self.dictMCVal[search_type + "SCRIPTWITHONEFUNCTION_DATA__DifferentialIncrement"])) + "\n" + self.text_da += data_name + "_ScriptWithOneFunction['CenteredFiniteDifference'] = " + str(self.dictMCVal[search_type + "SCRIPTWITHONEFUNCTION_DATA__CenteredFiniteDifference"]) + "\n" + if search_type + "SCRIPTWITHONEFUNCTION_DATA__EnableMultiProcessing" in self.dictMCVal.keys(): + self.text_da += data_name + "_ScriptWithOneFunction['EnableMultiProcessing'] = " + str(self.dictMCVal[search_type + "SCRIPTWITHONEFUNCTION_DATA__EnableMultiProcessing"]) + "\n" + if search_type + "SCRIPTWITHONEFUNCTION_DATA__NumberOfProcesses" in self.dictMCVal.keys(): + self.text_da += data_name + "_ScriptWithOneFunction['NumberOfProcesses'] = " + str(self.dictMCVal[search_type + "SCRIPTWITHONEFUNCTION_DATA__NumberOfProcesses"]) + "\n" + self.text_da += data_name + "_config = {}\n" + self.text_da += data_name + "_config['Type'] = 'Function'\n" + self.text_da += data_name + "_config['From'] = 'ScriptWithOneFunction'\n" + self.text_da += data_name + "_config['Data'] = " + data_name + "_ScriptWithOneFunction\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" if from_type == "FunctionDict": - self.text_da += data_name + "_FunctionDict = {} \n" - self.text_da += data_name + "_FunctionDict['Function'] = ['Direct', 'Tangent', 'Adjoint'] \n" - self.text_da += data_name + "_FunctionDict['Script'] = {} \n" - self.text_da += data_name + "_FunctionDict['Script']['Direct'] = '" + data + "' \n" - self.text_da += data_name + "_FunctionDict['Script']['Tangent'] = '" + data + "' \n" - self.text_da += data_name + "_FunctionDict['Script']['Adjoint'] = '" + data + "' \n" - self.text_da += data_name + "_config = {} \n" - self.text_da += data_name + "_config['Type'] = 'Function' \n" - self.text_da += data_name + "_config['From'] = 'FunctionDict' \n" - self.text_da += data_name + "_config['Data'] = " + data_name + "_FunctionDict \n" - self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config \n" - - def add_algorithm_parameters(self): - - data_name = "AlgorithmParameters" - data_type = "Dict" - from_type = "Script" - data = self.dictMCVal["__ASSIMILATION_STUDY__AlgorithmParameters__Dict__data__SCRIPT_DATA__SCRIPT_FILE"] - - self.text_da += data_name + "_config = {} \n" - self.text_da += data_name + "_config['Type'] = '" + data_type + "' \n" - self.text_da += data_name + "_config['From'] = '" + from_type + "' \n" - self.text_da += data_name + "_config['Data'] = '" + data + "' \n" - self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config \n" + self.text_da += data_name + "_FunctionDict = {}\n" + self.text_da += data_name + "_FunctionDict['Function'] = ['Direct', 'Tangent', 'Adjoint']\n" + self.text_da += data_name + "_FunctionDict['Script'] = {}\n" + self.text_da += data_name + "_FunctionDict['Script']['Direct'] = '" + data + "'\n" + self.text_da += data_name + "_FunctionDict['Script']['Tangent'] = '" + data + "'\n" + self.text_da += data_name + "_FunctionDict['Script']['Adjoint'] = '" + data + "'\n" + self.text_da += data_name + "_config = {}\n" + self.text_da += data_name + "_config['Type'] = 'Function'\n" + self.text_da += data_name + "_config['From'] = 'FunctionDict'\n" + self.text_da += data_name + "_config['Data'] = " + data_name + "_FunctionDict\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" def add_init(self): - init_file_data = self.dictMCVal["__ASSIMILATION_STUDY__UserDataInit__INIT_FILE"] - init_target_list = self.dictMCVal["__ASSIMILATION_STUDY__UserDataInit__TARGET_LIST"] + init_file_data = self.dictMCVal["__"+self.type_of_study+"__UserDataInit__INIT_FILE"] + init_target_list = self.dictMCVal["__"+self.type_of_study+"__UserDataInit__TARGET_LIST"] - self.text_da += "Init_config = {} \n" - self.text_da += "Init_config['Type'] = 'Dict' \n" - self.text_da += "Init_config['From'] = 'Script' \n" + self.text_da += "Init_config = {}\n" + self.text_da += "Init_config['Type'] = 'Dict'\n" + self.text_da += "Init_config['From'] = 'Script'\n" self.text_da += "Init_config['Data'] = '" + init_file_data + "'\n" self.text_da += "Init_config['Target'] = [" - for target in init_target_list: - self.text_da += "'" + target + "'," - self.text_da += "] \n" - self.text_da += "study_config['UserDataInit'] = Init_config \n" + if type(init_target_list) is type("str"): + self.text_da += "'" + init_target_list + "'," + else: + for target in init_target_list: + self.text_da += "'" + target + "'," + self.text_da += "]\n" + self.text_da += "study_config['UserDataInit'] = Init_config\n" def add_UserPostAnalysis(self): - from_type = self.dictMCVal["__ASSIMILATION_STUDY__UserPostAnalysis__FROM"] + from_type = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__FROM"] data = "" if from_type == "String": - data = self.dictMCVal["__ASSIMILATION_STUDY__UserPostAnalysis__STRING_DATA__STRING"] - self.text_da += "Analysis_config = {} \n" - self.text_da += "Analysis_config['From'] = 'String' \n" - self.text_da += "Analysis_config['Data'] = \"\"\"" + data + "\"\"\" \n" - self.text_da += "study_config['UserPostAnalysis'] = Analysis_config \n" + data = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__STRING_DATA__STRING"] + self.text_da += "Analysis_config = {}\n" + self.text_da += "Analysis_config['From'] = 'String'\n" + self.text_da += "Analysis_config['Data'] = \"\"\"" + data + "\"\"\"\n" + self.text_da += "study_config['UserPostAnalysis'] = Analysis_config\n" elif from_type == "Script": - data = self.dictMCVal["__ASSIMILATION_STUDY__UserPostAnalysis__SCRIPT_DATA__SCRIPT_FILE"] - self.text_da += "Analysis_config = {} \n" - self.text_da += "Analysis_config['From'] = 'Script' \n" - self.text_da += "Analysis_config['Data'] = '" + data + "' \n" - self.text_da += "study_config['UserPostAnalysis'] = Analysis_config \n" + data = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__SCRIPT_DATA__SCRIPT_FILE"] + self.text_da += "Analysis_config = {}\n" + self.text_da += "Analysis_config['From'] = 'Script'\n" + self.text_da += "Analysis_config['Data'] = '" + data + "'\n" + self.text_da += "study_config['UserPostAnalysis'] = Analysis_config\n" + elif from_type == "Template": + tmpl = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__TEMPLATE_DATA__Template"] + data = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__TEMPLATE_DATA__%s__ValueTemplate"%tmpl] + self.text_da += "Analysis_config = {}\n" + self.text_da += "Analysis_config['From'] = 'String'\n" + self.text_da += "Analysis_config['Data'] = \"\"\"" + data + "\"\"\"\n" + self.text_da += "study_config['UserPostAnalysis'] = Analysis_config\n" else: raise Exception('From Type unknown', from_type) + def add_AlgorithmParameters(self): + + if not self.dictMCVal.has_key("__"+self.type_of_study+"__AlgorithmParameters__Parameters"): return + + data_name = "AlgorithmParameters" + data_type = "Dict" + para_type = self.dictMCVal["__"+self.type_of_study+"__AlgorithmParameters__Parameters"] + if para_type == "Defaults": + from_type = para_type + elif para_type == "Dict": + from_type = self.dictMCVal["__"+self.type_of_study+"__AlgorithmParameters__Dict__data__FROM"] + + if from_type == "Script": + data = self.dictMCVal["__"+self.type_of_study+"__AlgorithmParameters__Dict__data__SCRIPT_DATA__SCRIPT_FILE"] + self.text_da += data_name + "_config = {} \n" + self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n" + self.text_da += data_name + "_config['From'] = '" + from_type + "'\n" + self.text_da += data_name + "_config['Data'] = '" + data + "'\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" + elif from_type == "String": + data = self.dictMCVal["__"+self.type_of_study+"__AlgorithmParameters__Dict__data__STRING_DATA__STRING"] + self.text_da += data_name + "_config = {} \n" + self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n" + self.text_da += data_name + "_config['From'] = '" + from_type + "'\n" + self.text_da += data_name + "_config['Data'] = '" + data + "'\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" + elif from_type == "Defaults": + base = "__"+self.type_of_study+"__AlgorithmParameters__Parameters" + keys = [k for k in self.dictMCVal.keys() if base in k] + keys.remove(base) + keys = [k.replace(base,'') for k in keys] + data = '{' + for k in keys: + key = k.split('__')[-1] + val = self.dictMCVal[base+k] + # print key," = ",val," ",type(val) + if isinstance(val, str) and key == "SetSeed": + data += '"%s":%s,'%(key,int(val)) + elif isinstance(val, str) and not (val.count('[')>=2 or val.count('(')>=2): + data += '"%s":"%s",'%(key,val) + else: + data += '"%s":%s,'%(key,val) + data = data.replace("'",'"') + data += '}' + self.text_da += data_name + "_config = {} \n" + self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n" + self.text_da += data_name + "_config['From'] = 'String'\n" + self.text_da += data_name + "_config['Data'] = '" + data + "'\n" + self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n" + def add_variables(self): # Input variables - if "__ASSIMILATION_STUDY__InputVariables__NAMES" in self.dictMCVal.keys(): + if "__"+self.type_of_study+"__InputVariables__NAMES" in self.dictMCVal.keys(): names = [] sizes = [] - if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__NAMES"], type("")): - names.append(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__NAMES"]) + if isinstance(self.dictMCVal["__"+self.type_of_study+"__InputVariables__NAMES"], type("")): + names.append(self.dictMCVal["__"+self.type_of_study+"__InputVariables__NAMES"]) else: - names = self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__NAMES"] - if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__SIZES"], type(1)): - sizes.append(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__SIZES"]) + names = self.dictMCVal["__"+self.type_of_study+"__InputVariables__NAMES"] + if isinstance(self.dictMCVal["__"+self.type_of_study+"__InputVariables__SIZES"], type(1)): + sizes.append(self.dictMCVal["__"+self.type_of_study+"__InputVariables__SIZES"]) else: - sizes = self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__SIZES"] + sizes = self.dictMCVal["__"+self.type_of_study+"__InputVariables__SIZES"] - self.text_da += "inputvariables_config = {} \n" - self.text_da += "inputvariables_config['Order'] = %s \n" % list(names) + self.text_da += "inputvariables_config = {}\n" + self.text_da += "inputvariables_config['Order'] = %s\n" % list(names) for name, size in zip(names, sizes): - self.text_da += "inputvariables_config['%s'] = %s \n" % (name,size) - self.text_da += "study_config['InputVariables'] = inputvariables_config \n" + self.text_da += "inputvariables_config['%s'] = %s\n" % (name,size) + self.text_da += "study_config['InputVariables'] = inputvariables_config\n" else: - self.text_da += "inputvariables_config = {} \n" - self.text_da += "inputvariables_config['Order'] =['adao_default'] \n" - self.text_da += "inputvariables_config['adao_default'] = -1 \n" - self.text_da += "study_config['InputVariables'] = inputvariables_config \n" + self.text_da += "inputvariables_config = {}\n" + self.text_da += "inputvariables_config['Order'] =['adao_default']\n" + self.text_da += "inputvariables_config['adao_default'] = -1\n" + self.text_da += "study_config['InputVariables'] = inputvariables_config\n" # Output variables - if "__ASSIMILATION_STUDY__OutputVariables__NAMES" in self.dictMCVal.keys(): + if "__"+self.type_of_study+"__OutputVariables__NAMES" in self.dictMCVal.keys(): names = [] sizes = [] - if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__NAMES"], type("")): - names.append(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__NAMES"]) + if isinstance(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__NAMES"], type("")): + names.append(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__NAMES"]) else: - names = self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__NAMES"] - if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__SIZES"], type(1)): - sizes.append(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__SIZES"]) + names = self.dictMCVal["__"+self.type_of_study+"__OutputVariables__NAMES"] + if isinstance(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__SIZES"], type(1)): + sizes.append(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__SIZES"]) else: - sizes = self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__SIZES"] + sizes = self.dictMCVal["__"+self.type_of_study+"__OutputVariables__SIZES"] - self.text_da += "outputvariables_config = {} \n" - self.text_da += "outputvariables_config['Order'] = %s \n" % list(names) + self.text_da += "outputvariables_config = {}\n" + self.text_da += "outputvariables_config['Order'] = %s\n" % list(names) for name, size in zip(names, sizes): - self.text_da += "outputvariables_config['%s'] = %s \n" % (name,size) - self.text_da += "study_config['OutputVariables'] = outputvariables_config \n" + self.text_da += "outputvariables_config['%s'] = %s\n" % (name,size) + self.text_da += "study_config['OutputVariables'] = outputvariables_config\n" else: - self.text_da += "outputvariables_config = {} \n" - self.text_da += "outputvariables_config['Order'] = ['adao_default'] \n" - self.text_da += "outputvariables_config['adao_default'] = -1 \n" - self.text_da += "study_config['OutputVariables'] = outputvariables_config \n" + self.text_da += "outputvariables_config = {}\n" + self.text_da += "outputvariables_config['Order'] = ['adao_default']\n" + self.text_da += "outputvariables_config['adao_default'] = -1\n" + self.text_da += "study_config['OutputVariables'] = outputvariables_config\n" + + def add_observers(self): + observers = {} + observer = self.dictMCVal["__"+self.type_of_study+"__Observers__SELECTION"] + if isinstance(observer, type("")): + self.add_observer_in_dict(observer, observers) + else: + for observer in self.dictMCVal["__"+self.type_of_study+"__Observers__SELECTION"]: + self.add_observer_in_dict(observer, observers) + + # Write observers in the python command file + number = 2 + self.text_da += "observers = {}\n" + for observer in observers.keys(): + number += 1 + self.text_da += "observers[\"" + observer + "\"] = {}\n" + self.text_da += "observers[\"" + observer + "\"][\"number\"] = " + str(number) + "\n" + self.text_da += "observers[\"" + observer + "\"][\"nodetype\"] = \"" + observers[observer]["nodetype"] + "\"\n" + if observers[observer]["nodetype"] == "String": + self.text_da += "observers[\"" + observer + "\"][\"String\"] = \"\"\"" + observers[observer]["script"] + "\"\"\"\n" + elif observers[observer]["nodetype"] == "Template": + self.text_da += "observers[\"" + observer + "\"][\"String\"] = \"\"\"" + observers[observer]["script"] + "\"\"\"\n" + self.text_da += "observers[\"" + observer + "\"][\"Template\"] = \"\"\"" + observers[observer]["template"] + "\"\"\"\n" + else: + self.text_da += "observers[\"" + observer + "\"][\"Script\"] = \"" + observers[observer]["file"] + "\"\n" + if "scheduler" in observers[observer].keys(): + self.text_da += "observers[\"" + observer + "\"][\"scheduler\"] = \"\"\"" + observers[observer]["scheduler"] + "\"\"\"\n" + if "info" in observers[observer].keys(): + self.text_da += "observers[\"" + observer + "\"][\"info\"] = \"\"\"" + observers[observer]["info"] + "\"\"\"\n" + self.text_da += "study_config['Observers'] = observers\n" + + def add_observer_in_dict(self, observer, observers): + """ + Add observer in the observers dict. + """ + observers[observer] = {} + observers[observer]["name"] = observer + observer_eficas_name = "__"+self.type_of_study+"__Observers__" + observer + "__" + observer + "_data__" + # NodeType + node_type_key_name = observer_eficas_name + "NodeType" + observers[observer]["nodetype"] = self.dictMCVal[node_type_key_name] + + # NodeType script/file + if observers[observer]["nodetype"] == "String": + observers[observer]["script"] = self.dictMCVal[observer_eficas_name + "PythonScript__Value"] + elif observers[observer]["nodetype"] == "Template": + observers[observer]["nodetype"] = "String" + observer_template_key = observer_eficas_name + "ObserverTemplate__" + observers[observer]["template"] = self.dictMCVal[observer_template_key + "Template"] + observers[observer]["script"] = self.dictMCVal[observer_template_key + observers[observer]["template"] + "__ValueTemplate"] + else: + observers[observer]["file"] = self.dictMCVal[observer_eficas_name + "UserFile__Value"] + + # Scheduler + scheduler_key_name = observer_eficas_name + "Scheduler" + if scheduler_key_name in self.dictMCVal.keys(): + observers[observer]["scheduler"] = self.dictMCVal[scheduler_key_name] + + # Info + info_key_name = observer_eficas_name + "Info" + if info_key_name in self.dictMCVal.keys(): + observers[observer]["info"] = self.dictMCVal[info_key_name]