# -*- coding: utf-8 -*-
-print "import generator_adao"
+#
+# 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
+# License as published by the Free Software Foundation; either
+# version 2.1 of the License.
+#
+# This library is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+# Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with this library; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+#
+# See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
+#
+# Author: André Ribes, andre.ribes@edf.fr, EDF R&D
from generator.generator_python import PythonGenerator
+import traceback
+import logging
def entryPoint():
"""
self.text_comm = ""
self.text_da = ""
self.text_da_status = False
+ self.logger = logging.getLogger('ADAO EFICAS GENERATOR')
+ self.logger.setLevel(logging.INFO)
+ ch = logging.StreamHandler()
+ 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):
- print "AdaoGenerator gener"
+ 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():
+ self.logger.debug("dictMCVAl %s %s" % (key,value))
- print "Dictionnaire"
- print self.dictMCVal
-
try :
self.text_da_status = False
self.generate_da()
self.text_da_status = True
except:
- print "Case seems not be correct"
- pass
+ 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()
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 )
s=PythonGenerator.generMCSIMP(self,obj)
return s
- def generMCFACT(self,obj):
-
- if obj.parent.nom == "ALGORITHM":
- self.dictMCVal["ALGORITHM_NAME"] = obj.nom
-
- s=PythonGenerator.generMCFACT(self,obj)
- 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"
- self.text_da += "study_config[\"Name\"] = \"" + self.dictMCVal["__ASSIM_STUDY__STUDY_NAME"] + "\"\n"
- self.text_da += "study_config[\"Algorithm\"] = \"" + self.dictMCVal["ALGORITHM_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
+ 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"
- self.add_data("Background")
- self.add_data("BackgroundError")
- self.add_data("Observation")
- self.add_data("ObservationError")
- self.add_data("ObservationOperator")
- self.add_analysis()
+ 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 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 "__"+self.type_of_study+"__UserPostAnalysis__FROM" in self.dictMCVal.keys():
+ self.add_UserPostAnalysis()
+ 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):
- search_text = "__ASSIM_STUDY__ALGORITHM__" + self.dictMCVal["ALGORITHM_NAME"] + "__"
- back_search_text = search_text + data_name + "__"
- try :
- back_from = self.dictMCVal[back_search_text + "VECTOR__FROM"]
- back_data = self.dictMCVal[back_search_text + "VECTOR__DATA"]
- self.text_da += data_name + "_config = {} \n"
- self.text_da += data_name + "_config[\"Type\"] = \"Vector\" \n"
- self.text_da += data_name + "_config[\"From\"] = \"" + back_from + "\" \n"
- self.text_da += data_name + "_config[\"Data\"] = \"" + back_data + "\" \n"
- self.text_da += "study_config[\"" + data_name + "\"] = " + data_name + "_config \n"
- except:
- pass
- try :
- back_from = self.dictMCVal[back_search_text + "MATRIX__FROM"]
- back_data = self.dictMCVal[back_search_text + "MATRIX__DATA"]
+ # Extraction des données
+ 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"]
+ data = ""
+ if from_type == "String":
+ 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"
+ 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_init(self):
+
+ 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['Data'] = '" + init_file_data + "'\n"
+ self.text_da += "Init_config['Target'] = ["
+ 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["__"+self.type_of_study+"__UserPostAnalysis__FROM"]
+ data = ""
+ if from_type == "String":
+ 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["__"+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\"] = \"Matrix\" \n"
- self.text_da += data_name + "_config[\"From\"] = \"" + back_from + "\" \n"
- self.text_da += data_name + "_config[\"Data\"] = \"" + back_data + "\" \n"
- self.text_da += "study_config[\"" + data_name + "\"] = " + data_name + "_config \n"
- except:
- pass
+ 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_analysis(self):
- search_text = "__ASSIM_STUDY__ALGORITHM__" + self.dictMCVal["ALGORITHM_NAME"] + "__Analysis__"
- try :
- ana_from = self.dictMCVal[search_text + "FROM"]
- print ana_from
- if ana_from == "String":
- ana_data = self.dictMCVal[search_text + "STRING_DATA__STRING"]
- self.text_da += "Analysis_config = {} \n"
- self.text_da += "Analysis_config[\"From\"] = \"String\" \n"
- self.text_da += "Analysis_config[\"Data\"] = \"\"\"" + ana_data + "\"\"\" \n"
- self.text_da += "study_config[\"Analysis\"] = Analysis_config \n"
- pass
- if ana_from == "File":
- ana_data = self.dictMCVal[search_text + "FILE_DATA__FILE"]
- self.text_da += "Analysis_config = {} \n"
- self.text_da += "Analysis_config[\"From\"] = \"File\" \n"
- self.text_da += "Analysis_config[\"Data\"] = \"" + ana_data + "\" \n"
- self.text_da += "study_config[\"Analysis\"] = Analysis_config \n"
- pass
- except:
- pass
+ def add_variables(self):
+
+ # Input variables
+ if "__"+self.type_of_study+"__InputVariables__NAMES" in self.dictMCVal.keys():
+ names = []
+ sizes = []
+ 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["__"+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["__"+self.type_of_study+"__InputVariables__SIZES"]
+
+ 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"
+ 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"
+
+ # Output variables
+ if "__"+self.type_of_study+"__OutputVariables__NAMES" in self.dictMCVal.keys():
+ names = []
+ sizes = []
+ 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["__"+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["__"+self.type_of_study+"__OutputVariables__SIZES"]
+
+ 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"
+ 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"
+
+ 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]
