bin/AdaoCatalogGenerator.py

   1 #-*- coding:utf-8 -*-
   2 #  Copyright (C) 2008-2011  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 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 # --
  19 # Author : André RIBES (EDF R&D)
  20 # --
  21
  22 import logging
  23 import traceback
  24 import sys
  25 import string
  26 import StringIO
  27
  28 logging.basicConfig(level=logging.DEBUG)
  29
  30 #----------- Templates Part ---------------#
  31 begin_catalog_file = """
  32 # -*- coding: utf-8 -*-
  33
  34 # --------------------------------------------------------
  35 # generated by AdaoCatalogGenerator at ${date}
  36 # --------------------------------------------------------
  37
  38 import Accas
  39 from Accas import *
  40
  41 JdC = JDC_CATA (code = 'ADAO',
  42                 execmodul = None,
  43                 regles = ( AU_MOINS_UN ('ASSIMILATION_STUDY'), AU_PLUS_UN ('ASSIMILATION_STUDY')),
  44                )
  45 """
  46
  47 data_method = """
  48 def F_${data_name}(statut) : return FACT(statut = statut,
  49                                          FROM = SIMP(statut = "o", typ = "TXM", into=(${data_into}), defaut=${data_default}),
  50                                          SCRIPT_DATA = BLOC ( condition = " FROM in ( 'Script', ) ",
  51
  52                                                       SCRIPT_FILE = SIMP(statut = "o", typ = "FichierNoAbs", validators=(OnlyStr())),
  53                                                      ),
  54                                          STRING_DATA = BLOC ( condition = " FROM in ( 'String', ) ",
  55
  56                                                       STRING = SIMP(statut = "o", typ = "TXM"),
  57                                                      ),
  58                                          FUNCTIONDICT_DATA = BLOC ( condition = " FROM in ( 'FunctionDict', ) ",
  59
  60                                                       FUNCTIONDICT_FILE = SIMP(statut = "o", typ = "FichierNoAbs", validators=(OnlyStr())),
  61                                                      ),
  62                                     )
  63 """
  64
  65 init_method = """
  66 def F_InitChoice() : return  ("Background",
  67                               "BackgroundError",
  68                               "Observation",
  69                               "ObservationError",
  70                               "ObservationOperator",
  71                               "AlgorithmParameters",
  72                               "UserPostAnalysis",
  73                              )
  74
  75 def F_Init(statut) : return FACT(statut = statut,
  76                                  INIT_FILE = SIMP(statut = "o", typ = "FichierNoAbs", validators=(OnlyStr())),
  77                                  TARGET_LIST = SIMP(statut = "o", typ = "TXM", min=1, max="**", into=F_InitChoice(),  validators=(VerifExiste(2))),
  78                                 )
  79 """
  80
  81 assim_data_method = """
  82 def F_${assim_name}(statut) : return FACT(statut=statut,
  83                                           INPUT_TYPE = SIMP(statut="o", typ = "TXM", into=(${choices}), defaut=${default_choice}),
  84 ${decl_choices}
  85                                                 )
  86 """
  87
  88 assim_data_choice = """
  89                                                  ${choice_name} = BLOC ( condition = " INPUT_TYPE in ( '${choice_name}', ) ",
  90                                                  data = F_${choice_name}("o"),
  91                                                  ),
  92 """
  93
  94 observers_choice = """
  95                                        ${var_name} = BLOC (condition=" '${var_name}' in set(SELECTION) ",
  96                                                   ${var_name}_data = FACT(statut = "o",
  97                                                              Scheduler = SIMP(statut = "f", typ = "TXM"),
  98                                                              Info      = SIMP(statut = "f", typ = "TXM"),
  99                                                              NodeType  = SIMP(statut = "o", typ = "TXM", min=1, max=1, defaut = "", into=("pyscript", "userfile")),
 100                                                              PythonScript = BLOC (condition = " NodeType == 'pyscript' ",
 101                                                                                   Value = SIMP(statut = "o", typ = "TXM")
 102                                                                                  ),
 103                                                              UserFile = BLOC (condition = " NodeType == 'userfile' ",
 104                                                                               Value = SIMP(statut = "o", typ = "FichierNoAbs", validators=(OnlyStr()))
 105                                                                              )
 106                                                                       ),
 107                                                           ),
 108 """
 109
 110 observers_method = """
 111 def F_Observers(statut) : return FACT(statut=statut,
 112                                       SELECTION = SIMP(statut="o", defaut=[], typ="TXM", max="**", validators=NoRepeat(), into=(${choices})),
 113 ${decl_choices}
 114                                      )
 115 """
 116
 117 assim_study = """
 118
 119 def F_variables(statut) : return FACT(statut=statut,
 120                                       regles = ( MEME_NOMBRE ('NAMES', 'SIZES')),
 121                                       NAMES = SIMP(statut="o", typ="TXM", max="**", validators=NoRepeat()),
 122                                       SIZES = SIMP(statut="o", typ="I", val_min=1, max="**")
 123                                       )
 124
 125 ASSIMILATION_STUDY = PROC(nom="ASSIMILATION_STUDY",
 126                           op=None,
 127                           repetable           = "n",
 128                           Study_name          = SIMP(statut="o", typ = "TXM"),
 129                           Study_repertory     = SIMP(statut="f", typ = "TXM"),
 130                           Debug               = SIMP(statut="o", typ = "I", into=(0, 1), defaut=0),
 131                           Algorithm           = SIMP(statut="o", typ = "TXM", into=(${algos_names})),
 132                           Background          = F_Background("o"),
 133                           BackgroundError     = F_BackgroundError("o"),
 134                           Observation         = F_Observation("o"),
 135                           ObservationError    = F_ObservationError("o"),
 136                           ObservationOperator = F_ObservationOperator("o"),
 137                           AlgorithmParameters = F_AlgorithmParameters("f"),
 138                           UserDataInit        = F_Init("f"),
 139                           UserPostAnalysis    = F_UserPostAnalysis("f"),
 140                           InputVariables      = F_variables("f"),
 141                           OutputVariables     = F_variables("f"),
 142                           Observers           = F_Observers("f")
 143                          )
 144 """
 145
 146 begin_catalog_file = string.Template(begin_catalog_file)
 147 data_method = string.Template(data_method)
 148 assim_data_method = string.Template(assim_data_method)
 149 assim_data_choice = string.Template(assim_data_choice)
 150 assim_study = string.Template(assim_study)
 151 observers_method = string.Template(observers_method)
 152 observers_choice = string.Template(observers_choice)
 153
 154 #----------- End of Templates Part ---------------#
 155
 156
 157
 158 #----------- Begin generation script -----------#
 159 print "-- Starting AdaoCalatogGenerator.py --"
 160
 161 try:
 162   import daEficas
 163   import daYacsSchemaCreator
 164   import daCore.AssimilationStudy
 165   import daYacsSchemaCreator.infos_daComposant as infos
 166 except:
 167   logging.fatal("Import of ADAO python modules failed !" +
 168                 "\n add ADAO python installation directory in your PYTHONPATH")
 169   traceback.print_exc()
 170   sys.exit(1)
 171
 172 def check_args(args):
 173   logging.debug("Arguments are :" + str(args))
 174   if len(args) != 2:
 175     logging.fatal("Bad number of arguments: you have to provide two arguments (%d given)" % (len(args)))
 176     sys.exit(1)
 177
 178 # Parse arguments
 179 from optparse import OptionParser
 180 usage = "usage: %prog [options] catalog_path catalog_name"
 181 version="%prog 0.1"
 182 my_parser = OptionParser(usage=usage, version=version)
 183 (options, args) = my_parser.parse_args()
 184 check_args(args)
 185
 186 catalog_path =  args[0]
 187 catalog_name =  args[1]
 188
 189 # Generates into a string
 190 mem_file = StringIO.StringIO()
 191
 192 # Start file
 193 from time import strftime
 194 mem_file.write(begin_catalog_file.substitute(date=strftime("%Y-%m-%d %H:%M:%S")))
 195
 196 # Step 1: A partir des infos, on crée les fonctions qui vont permettre
 197 # d'entrer les données utilisateur
 198 for data_input_name in infos.DataTypeDict.keys():
 199   logging.debug('A data input Type is found: ' + data_input_name)
 200   data_name = data_input_name
 201   data_into = ""
 202   data_default = ""
 203
 204   # On récupère les différentes façon d'entrer les données
 205   for basic_type in infos.DataTypeDict[data_input_name]:
 206     data_into += "\"" + basic_type + "\", "
 207
 208   # On choisit le défault
 209   data_default = "\"" + infos.DataTypeDefaultDict[data_input_name] + "\""
 210
 211   mem_file.write(data_method.substitute(data_name    = data_name,
 212                                         data_into    = data_into,
 213                                         data_default = data_default))
 214
 215 # Step 2: On crée les fonctions qui permettent de rentrer les données des algorithmes
 216 for assim_data_input_name in infos.AssimDataDict.keys():
 217   logging.debug("An assimilation algorithm data input is found: " + assim_data_input_name)
 218   assim_name = assim_data_input_name
 219   choices = ""
 220   default_choice = ""
 221   decl_choices = ""
 222   decl_opts = ""
 223   for choice in infos.AssimDataDict[assim_data_input_name]:
 224     choices += "\"" + choice + "\", "
 225     decl_choices += assim_data_choice.substitute(choice_name = choice)
 226   default_choice = "\"" + infos.AssimDataDefaultDict[assim_data_input_name] + "\""
 227
 228   mem_file.write(assim_data_method.substitute(assim_name = assim_name,
 229                                               choices = choices,
 230                                               decl_choices = decl_choices,
 231                                               default_choice=default_choice))
 232
 233 # Step 3: On ajoute les fonctions représentant les options possibles
 234 for opt_name in infos.OptDict.keys():
 235   logging.debug("An optional node is found: " + opt_name)
 236   data_name = opt_name
 237   data_into = ""
 238   data_default = ""
 239
 240   for choice in infos.OptDict[opt_name]:
 241     data_into += "\"" + choice + "\", "
 242   data_default = "\"" + infos.OptDefaultDict[opt_name] + "\""
 243
 244   mem_file.write(data_method.substitute(data_name = data_name,
 245                                         data_into = data_into,
 246                                         data_default = data_default))
 247
 248 # Step 4: On ajoute la méthode optionnelle init
 249 # TODO uniformiser avec le step 3
 250 mem_file.write(init_method)
 251
 252 # Step 5: Add observers
 253 decl_choices = ""
 254 for obs_var in infos.ObserversList:
 255   decl_choices += observers_choice.substitute(var_name=obs_var)
 256 mem_file.write(observers_method.substitute(choices = infos.ObserversList,
 257                                            decl_choices = decl_choices))
 258
 259 # Final step: Add algorithm and assim_study
 260 algos_names = ""
 261 decl_algos = ""
 262
 263 assim_study_object = daCore.AssimilationStudy.AssimilationStudy()
 264 algos_list = assim_study_object.get_available_algorithms()
 265 for algo_name in algos_list:
 266   logging.debug("An assimilation algorithm is found: " + algo_name)
 267   algos_names += "\"" + algo_name + "\", "
 268
 269 mem_file.write(assim_study.substitute(algos_names=algos_names,
 270                                       decl_algos=decl_algos))
 271 # Write file
 272 final_file = open(catalog_path + "/" + catalog_name, "wr")
 273 final_file.write(mem_file.getvalue())
 274 mem_file.close()
 275 final_file.close()
 276