src/daEficas/generator_adao.py

   1 # -*- coding: utf-8 -*-
   2 # Copyright (C) 2010-2011 EDF R&D
   3 #
   4 # This library is free software; you can redistribute it and/or
   5 # modify it under the terms of the GNU Lesser General Public
   6 # License as published by the Free Software Foundation; either
   7 # version 2.1 of the License.
   8 #
   9 # This library is distributed in the hope that it will be useful,
  10 # but WITHOUT ANY WARRANTY; without even the implied warranty of
  11 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
  12 # Lesser General Public License for more details.
  13 #
  14 # You should have received a copy of the GNU Lesser General Public
  15 # License along with this library; if not, write to the Free Software
  16 # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
  17 #
  18 # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
  19 #
  20 # Author: André Ribes, andre.ribes@edf.fr, EDF R&D
  21
  22 from generator.generator_python import PythonGenerator
  23 import traceback
  24 import logging
  25
  26 def entryPoint():
  27    """
  28       Retourne les informations necessaires pour le chargeur de plugins
  29
  30       Ces informations sont retournees dans un dictionnaire
  31    """
  32    return {
  33         # Le nom du plugin
  34         'name' : 'adao',
  35         # La factory pour creer une instance du plugin
  36           'factory' : AdaoGenerator,
  37           }
  38
  39 class AdaoGenerator(PythonGenerator):
  40
  41   def __init__(self,cr=None):
  42     PythonGenerator.__init__(self, cr)
  43     self.dictMCVal={}
  44     self.text_comm = ""
  45     self.text_da = ""
  46     self.text_da_status = False
  47     self.logger = logging.getLogger('ADAO EFICAS GENERATOR')
  48     self.logger.setLevel(logging.INFO)
  49     ch = logging.StreamHandler()
  50     ch.setLevel(logging.INFO)
  51     formatter = logging.Formatter("%(name)s - %(levelname)s - %(message)s")
  52     ch.setFormatter(formatter)
  53     self.logger.addHandler(ch)
  54
  55   def gener(self,obj,format='brut',config=None):
  56     self.logger.debug("method gener called")
  57     self.text_comm = PythonGenerator.gener(self, obj, format, config)
  58     for key, value in self.dictMCVal.iteritems():
  59       self.logger.debug("dictMCVAl %s %s" % (key,value))
  60
  61     try :
  62       self.text_da_status = False
  63       self.generate_da()
  64       self.text_da_status = True
  65     except:
  66       self.logger.info("Case is not correct, python command file for YACS schema generation cannot be created")
  67       self.logger.debug(self.text_da)
  68       self.dictMCVal = {}
  69       traceback.print_exc()
  70     return self.text_comm
  71
  72   def writeDefault(self, fn):
  73     if self.text_da_status:
  74       print "write adao python command file"
  75       filename = fn[:fn.rfind(".")] + '.py'
  76       f = open( str(filename), 'wb')
  77       f.write( self.text_da )
  78       f.close()
  79
  80   def generMCSIMP(self,obj) :
  81     """
  82     Convertit un objet MCSIMP en texte python
  83     """
  84     clef=""
  85     for i in obj.get_genealogie() :
  86       clef=clef+"__"+i
  87     self.dictMCVal[clef]=obj.valeur
  88
  89     s=PythonGenerator.generMCSIMP(self,obj)
  90     return s
  91
  92   def generate_da(self):
  93
  94     self.text_da += "#-*-coding:iso-8859-1-*- \n"
  95     self.text_da += "study_config = {} \n"
  96
  97     # Extraction de Study_name
  98     self.text_da += "study_config['Name'] = '" + self.dictMCVal["__ASSIMILATION_STUDY__Study_name"] + "'\n"
  99     # Extraction de Debug
 100     self.text_da += "study_config['Debug'] = '" + str(self.dictMCVal["__ASSIMILATION_STUDY__Debug"]) + "'\n"
 101     # Extraction de Algorithm
 102     self.text_da += "study_config['Algorithm'] = '" + self.dictMCVal["__ASSIMILATION_STUDY__Algorithm"] + "'\n"
 103
 104     self.add_data("Background")
 105     self.add_data("BackgroundError")
 106     self.add_data("Observation")
 107     self.add_data("ObservationError")
 108     self.add_data("ObservationOperator")
 109
 110     self.add_variables()
 111     # Parametres optionnels
 112
 113     # Extraction du Study_repertory
 114     if "__ASSIMILATION_STUDY__Study_repertory" in self.dictMCVal.keys():
 115       self.text_da += "study_config['Repertory'] = '" + self.dictMCVal["__ASSIMILATION_STUDY__Study_repertory"] + "'\n"
 116     # Extraction de AlgorithmParameters
 117     if "__ASSIMILATION_STUDY__AlgorithmParameters__INPUT_TYPE" in self.dictMCVal.keys():
 118       self.add_algorithm_parameters()
 119     # Extraction de UserPostAnalysis
 120     if "__ASSIMILATION_STUDY__UserPostAnalysis__FROM" in self.dictMCVal.keys():
 121       self.add_UserPostAnalysis()
 122     if "__ASSIMILATION_STUDY__UserDataInit__INIT_FILE" in self.dictMCVal.keys():
 123       self.add_init()
 124     if "__ASSIMILATION_STUDY__Observers__SELECTION" in self.dictMCVal.keys():
 125       self.add_observers()
 126
 127   def add_data(self, data_name):
 128
 129     # Extraction des données
 130     search_text = "__ASSIMILATION_STUDY__" + data_name + "__"
 131     data_type = self.dictMCVal[search_text + "INPUT_TYPE"]
 132     search_type = search_text + data_type + "__data__"
 133     from_type = self.dictMCVal[search_type + "FROM"]
 134     data = ""
 135     if from_type == "String":
 136       data = self.dictMCVal[search_type + "STRING_DATA__STRING"]
 137     elif from_type == "Script":
 138       data = self.dictMCVal[search_type + "SCRIPT_DATA__SCRIPT_FILE"]
 139     elif from_type == "FunctionDict":
 140       data = self.dictMCVal[search_type + "FUNCTIONDICT_DATA__FUNCTIONDICT_FILE"]
 141     else:
 142       raise Exception('From Type unknown', from_type)
 143
 144     if from_type == "String" or from_type == "Script":
 145       self.text_da += data_name + "_config = {}\n"
 146       self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n"
 147       self.text_da += data_name + "_config['From'] = '" + from_type + "'\n"
 148       self.text_da += data_name + "_config['Data'] = '" + data      + "'\n"
 149       self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n"
 150
 151     if from_type == "FunctionDict":
 152       self.text_da += data_name + "_FunctionDict = {}\n"
 153       self.text_da += data_name + "_FunctionDict['Function'] = ['Direct', 'Tangent', 'Adjoint']\n"
 154       self.text_da += data_name + "_FunctionDict['Script'] = {}\n"
 155       self.text_da += data_name + "_FunctionDict['Script']['Direct'] = '"  + data + "'\n"
 156       self.text_da += data_name + "_FunctionDict['Script']['Tangent'] = '" + data + "'\n"
 157       self.text_da += data_name + "_FunctionDict['Script']['Adjoint'] = '" + data + "'\n"
 158       self.text_da += data_name + "_config = {}\n"
 159       self.text_da += data_name + "_config['Type'] = 'Function'\n"
 160       self.text_da += data_name + "_config['From'] = 'FunctionDict'\n"
 161       self.text_da += data_name + "_config['Data'] = " + data_name + "_FunctionDict\n"
 162       self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n"
 163
 164   def add_algorithm_parameters(self):
 165
 166     data_name = "AlgorithmParameters"
 167     data_type = "Dict"
 168     from_type = "Script"
 169     data = self.dictMCVal["__ASSIMILATION_STUDY__AlgorithmParameters__Dict__data__SCRIPT_DATA__SCRIPT_FILE"]
 170
 171     self.text_da += data_name + "_config = {} \n"
 172     self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n"
 173     self.text_da += data_name + "_config['From'] = '" + from_type + "'\n"
 174     self.text_da += data_name + "_config['Data'] = '" + data + "'\n"
 175     self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n"
 176
 177   def add_init(self):
 178
 179       init_file_data = self.dictMCVal["__ASSIMILATION_STUDY__UserDataInit__INIT_FILE"]
 180       init_target_list = self.dictMCVal["__ASSIMILATION_STUDY__UserDataInit__TARGET_LIST"]
 181
 182       self.text_da += "Init_config = {}\n"
 183       self.text_da += "Init_config['Type'] = 'Dict'\n"
 184       self.text_da += "Init_config['From'] = 'Script'\n"
 185       self.text_da += "Init_config['Data'] = '" + init_file_data + "'\n"
 186       self.text_da += "Init_config['Target'] = ["
 187       if type(init_target_list) is type("str"):
 188         self.text_da +=  "'" + init_target_list + "',"
 189       else:
 190         for target in init_target_list:
 191           self.text_da += "'" + target + "',"
 192       self.text_da += "]\n"
 193       self.text_da += "study_config['UserDataInit'] = Init_config\n"
 194
 195   def add_UserPostAnalysis(self):
 196
 197     from_type = self.dictMCVal["__ASSIMILATION_STUDY__UserPostAnalysis__FROM"]
 198     data = ""
 199     if from_type == "String":
 200       data = self.dictMCVal["__ASSIMILATION_STUDY__UserPostAnalysis__STRING_DATA__STRING"]
 201       self.text_da += "Analysis_config = {}\n"
 202       self.text_da += "Analysis_config['From'] = 'String'\n"
 203       self.text_da += "Analysis_config['Data'] = \"\"\"" + data + "\"\"\"\n"
 204       self.text_da += "study_config['UserPostAnalysis'] = Analysis_config\n"
 205     elif from_type == "Script":
 206       data = self.dictMCVal["__ASSIMILATION_STUDY__UserPostAnalysis__SCRIPT_DATA__SCRIPT_FILE"]
 207       self.text_da += "Analysis_config = {}\n"
 208       self.text_da += "Analysis_config['From'] = 'Script'\n"
 209       self.text_da += "Analysis_config['Data'] = '" + data + "'\n"
 210       self.text_da += "study_config['UserPostAnalysis'] = Analysis_config\n"
 211     else:
 212       raise Exception('From Type unknown', from_type)
 213
 214   def add_variables(self):
 215
 216     # Input variables
 217     if "__ASSIMILATION_STUDY__InputVariables__NAMES" in self.dictMCVal.keys():
 218       names = []
 219       sizes = []
 220       if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__NAMES"], type("")):
 221         names.append(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__NAMES"])
 222       else:
 223         names = self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__NAMES"]
 224       if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__SIZES"], type(1)):
 225         sizes.append(self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__SIZES"])
 226       else:
 227         sizes = self.dictMCVal["__ASSIMILATION_STUDY__InputVariables__SIZES"]
 228
 229       self.text_da += "inputvariables_config = {}\n"
 230       self.text_da += "inputvariables_config['Order'] = %s\n" % list(names)
 231       for name, size in zip(names, sizes):
 232         self.text_da += "inputvariables_config['%s'] = %s\n" % (name,size)
 233       self.text_da += "study_config['InputVariables'] = inputvariables_config\n"
 234     else:
 235       self.text_da += "inputvariables_config = {}\n"
 236       self.text_da += "inputvariables_config['Order'] =['adao_default']\n"
 237       self.text_da += "inputvariables_config['adao_default'] = -1\n"
 238       self.text_da += "study_config['InputVariables'] = inputvariables_config\n"
 239
 240     # Output variables
 241     if "__ASSIMILATION_STUDY__OutputVariables__NAMES" in self.dictMCVal.keys():
 242       names = []
 243       sizes = []
 244       if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__NAMES"], type("")):
 245         names.append(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__NAMES"])
 246       else:
 247         names = self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__NAMES"]
 248       if isinstance(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__SIZES"], type(1)):
 249         sizes.append(self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__SIZES"])
 250       else:
 251         sizes = self.dictMCVal["__ASSIMILATION_STUDY__OutputVariables__SIZES"]
 252
 253       self.text_da += "outputvariables_config = {}\n"
 254       self.text_da += "outputvariables_config['Order'] = %s\n" % list(names)
 255       for name, size in zip(names, sizes):
 256         self.text_da += "outputvariables_config['%s'] = %s\n" % (name,size)
 257       self.text_da += "study_config['OutputVariables'] = outputvariables_config\n"
 258     else:
 259       self.text_da += "outputvariables_config = {}\n"
 260       self.text_da += "outputvariables_config['Order'] = ['adao_default']\n"
 261       self.text_da += "outputvariables_config['adao_default'] = -1\n"
 262       self.text_da += "study_config['OutputVariables'] = outputvariables_config\n"
 263
 264   def add_observers(self):
 265     observers = {}
 266     observer = self.dictMCVal["__ASSIMILATION_STUDY__Observers__SELECTION"]
 267     if isinstance(observer, type("")):
 268       self.add_observer_in_dict(observer, observers)
 269     else:
 270       for observer in self.dictMCVal["__ASSIMILATION_STUDY__Observers__SELECTION"]:
 271         self.add_observer_in_dict(observer, observers)
 272
 273     # Write observers in the python command file
 274     number = 1
 275     self.text_da += "observers = {}\n"
 276     for observer in observers.keys():
 277       number += 1
 278       self.text_da += "observers[\"" + observer + "\"] = {}\n"
 279       self.text_da += "observers[\"" + observer + "\"][\"number\"] = " + str(number) + "\n"
 280       self.text_da += "observers[\"" + observer + "\"][\"nodetype\"] = \"" + observers[observer]["nodetype"] + "\"\n"
 281       if observers[observer]["nodetype"] == "String":
 282         self.text_da += "observers[\"" + observer + "\"][\"String\"] = \"\"\"" + observers[observer]["script"] + "\"\"\"\n"
 283       else:
 284         self.text_da += "observers[\"" + observer + "\"][\"Script\"] = \"" + observers[observer]["file"] + "\"\n"
 285       if "scheduler" in observers[observer].keys():
 286         self.text_da += "observers[\"" + observer + "\"][\"scheduler\"] = \"\"\"" + observers[observer]["scheduler"] + "\"\"\"\n"
 287     self.text_da += "study_config['Observers'] = observers\n"
 288
 289   def add_observer_in_dict(self, observer, observers):
 290     """
 291       Add observer in the observers dict.
 292     """
 293     observers[observer] = {}
 294     observers[observer]["name"] = observer
 295     observer_eficas_name = "__ASSIMILATION_STUDY__Observers__" + observer + "__" + observer + "_data__"
 296     # NodeType
 297     node_type_key_name = observer_eficas_name + "NodeType"
 298     observers[observer]["nodetype"] = self.dictMCVal[node_type_key_name]
 299
 300     # NodeType script/file
 301     if observers[observer]["nodetype"] == "String":
 302       observers[observer]["script"] = self.dictMCVal[observer_eficas_name + "PythonScript__Value"]
 303     else:
 304       observers[observer]["file"] = self.dictMCVal[observer_eficas_name + "UserFile__Value"]
 305
 306     # Scheduler
 307     scheduler_key_name = observer_eficas_name + "Scheduler"
 308     if scheduler_key_name in self.dictMCVal.keys():
 309       observers[observer]["scheduler"] = self.dictMCVal[scheduler_key_name]
 310     # Info
 311     info_key_name = observer_eficas_name + "Info"
 312     if info_key_name in self.dictMCVal.keys():
 313       observers[observer]["info"] = self.dictMCVal[info_key_name]