2 # Copyright (C) 2008-2011 EDF R&D
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.
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.
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
19 # Author : André RIBES (EDF R&D)
28 logging.basicConfig(level=logging.DEBUG)
30 #----------- Templates Part ---------------#
31 begin_catalog_file = """
32 # -*- coding: utf-8 -*-
34 # --------------------------------------------------------
35 # generated by AdaoCatalogGenerator at ${date}
36 # --------------------------------------------------------
41 JdC = JDC_CATA (code = 'ADAO',
43 regles = ( AU_MOINS_UN ('ASSIMILATION_STUDY'), AU_PLUS_UN ('ASSIMILATION_STUDY')),
48 def F_${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', ) ",
52 SCRIPT_FILE = SIMP(statut = "o", typ = "FichierNoAbs", validators=(OnlyStr())),
54 STRING_DATA = BLOC ( condition = " FROM in ( 'String', ) ",
56 STRING = SIMP(statut = "o", typ = "TXM"),
58 FUNCTIONDICT_DATA = BLOC ( condition = " FROM in ( 'FunctionDict', ) ",
60 FUNCTIONDICT_FILE = SIMP(statut = "o", typ = "FichierNoAbs", validators=(OnlyStr())),
66 def F_InitChoice() : return ("Background",
70 "ObservationOperator",
71 "AlgorithmParameters",
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))),
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}),
88 assim_data_choice = """
89 ${choice_name} = BLOC ( condition = " INPUT_TYPE in ( '${choice_name}', ) ",
90 data = F_${choice_name}("o"),
94 observers_choice = """
95 ${var_name} = BLOC (condition=" '${var_name}' in set(SELECTION) ",
96 ${var_name}_data = FACT(statut = "o",
97 Scheduler = SIMP(statut = "f", typ = "TXM"),
98 NodeType = SIMP(statut = "o", typ = "TXM", min=1, max=1, defaut = "", into=("pyscript", "userfile")),
99 PythonScript = BLOC (condition = " NodeType == 'pyscript' ",
100 Value = SIMP(statut = "o", typ = "TXM")
102 UserFile = BLOC (condition = " NodeType == 'userfile' ",
103 Value = SIMP(statut = "o", typ = "FichierNoAbs", validators=(OnlyStr()))
109 observers_method = """
110 def F_Observers(statut) : return FACT(statut=statut,
111 SELECTION = SIMP(statut="o", defaut=[], typ="TXM", max="**", validators=NoRepeat(), into=(${choices})),
118 def F_variables(statut) : return FACT(statut=statut,
119 regles = ( MEME_NOMBRE ('NAMES', 'SIZES')),
120 NAMES = SIMP(statut="o", typ="TXM", max="**", validators=NoRepeat()),
121 SIZES = SIMP(statut="o", typ="I", val_min=1, max="**")
124 ASSIMILATION_STUDY = PROC(nom="ASSIMILATION_STUDY",
127 Study_name = SIMP(statut="o", typ = "TXM"),
128 Study_repertory = SIMP(statut="f", typ = "TXM"),
129 Debug = SIMP(statut="o", typ = "I", into=(0, 1), defaut=0),
130 Algorithm = SIMP(statut="o", typ = "TXM", into=(${algos_names})),
131 Background = F_Background("o"),
132 BackgroundError = F_BackgroundError("o"),
133 Observation = F_Observation("o"),
134 ObservationError = F_ObservationError("o"),
135 ObservationOperator = F_ObservationOperator("o"),
136 AlgorithmParameters = F_AlgorithmParameters("f"),
137 UserDataInit = F_Init("f"),
138 UserPostAnalysis = F_UserPostAnalysis("f"),
139 InputVariables = F_variables("f"),
140 OutputVariables = F_variables("f"),
141 Observers = F_Observers("f")
145 begin_catalog_file = string.Template(begin_catalog_file)
146 data_method = string.Template(data_method)
147 assim_data_method = string.Template(assim_data_method)
148 assim_data_choice = string.Template(assim_data_choice)
149 assim_study = string.Template(assim_study)
150 observers_method = string.Template(observers_method)
151 observers_choice = string.Template(observers_choice)
153 #----------- End of Templates Part ---------------#
157 #----------- Begin generation script -----------#
158 print "-- Starting AdaoCalatogGenerator.py --"
162 import daYacsSchemaCreator
163 import daCore.AssimilationStudy
164 import daYacsSchemaCreator.infos_daComposant as infos
166 logging.fatal("Import of ADAO python modules failed !" +
167 "\n add ADAO python installation directory in your PYTHONPATH")
168 traceback.print_exc()
171 def check_args(args):
172 logging.debug("Arguments are :" + str(args))
174 logging.fatal("Bad number of arguments: you have to provide two arguments (%d given)" % (len(args)))
178 from optparse import OptionParser
179 usage = "usage: %prog [options] catalog_path catalog_name"
181 my_parser = OptionParser(usage=usage, version=version)
182 (options, args) = my_parser.parse_args()
185 catalog_path = args[0]
186 catalog_name = args[1]
188 # Generates into a string
189 mem_file = StringIO.StringIO()
192 from time import strftime
193 mem_file.write(begin_catalog_file.substitute(date=strftime("%Y-%m-%d %H:%M:%S")))
195 # Step 1: A partir des infos, on crée les fonctions qui vont permettre
196 # d'entrer les données utilisateur
197 for data_input_name in infos.DataTypeDict.keys():
198 logging.debug('A data input Type is found: ' + data_input_name)
199 data_name = data_input_name
203 # On récupère les différentes façon d'entrer les données
204 for basic_type in infos.DataTypeDict[data_input_name]:
205 data_into += "\"" + basic_type + "\", "
207 # On choisit le défault
208 data_default = "\"" + infos.DataTypeDefaultDict[data_input_name] + "\""
210 mem_file.write(data_method.substitute(data_name = data_name,
211 data_into = data_into,
212 data_default = data_default))
214 # Step 2: On crée les fonctions qui permettent de rentrer les données des algorithmes
215 for assim_data_input_name in infos.AssimDataDict.keys():
216 logging.debug("An assimilation algorithm data input is found: " + assim_data_input_name)
217 assim_name = assim_data_input_name
222 for choice in infos.AssimDataDict[assim_data_input_name]:
223 choices += "\"" + choice + "\", "
224 decl_choices += assim_data_choice.substitute(choice_name = choice)
225 default_choice = "\"" + infos.AssimDataDefaultDict[assim_data_input_name] + "\""
227 mem_file.write(assim_data_method.substitute(assim_name = assim_name,
229 decl_choices = decl_choices,
230 default_choice=default_choice))
232 # Step 3: On ajoute les fonctions représentant les options possibles
233 for opt_name in infos.OptDict.keys():
234 logging.debug("An optional node is found: " + opt_name)
239 for choice in infos.OptDict[opt_name]:
240 data_into += "\"" + choice + "\", "
241 data_default = "\"" + infos.OptDefaultDict[opt_name] + "\""
243 mem_file.write(data_method.substitute(data_name = data_name,
244 data_into = data_into,
245 data_default = data_default))
247 # Step 4: On ajoute la méthode optionnelle init
248 # TODO uniformiser avec le step 3
249 mem_file.write(init_method)
251 # Step 5: Add observers
253 for obs_var in infos.ObserversList:
254 decl_choices += observers_choice.substitute(var_name=obs_var)
255 mem_file.write(observers_method.substitute(choices = infos.ObserversList,
256 decl_choices = decl_choices))
258 # Final step: Add algorithm and assim_study
262 assim_study_object = daCore.AssimilationStudy.AssimilationStudy()
263 algos_list = assim_study_object.get_available_algorithms()
264 for algo_name in algos_list:
265 logging.debug("An assimilation algorithm is found: " + algo_name)
266 algos_names += "\"" + algo_name + "\", "
268 mem_file.write(assim_study.substitute(algos_names=algos_names,
269 decl_algos=decl_algos))
271 final_file = open(catalog_path + "/" + catalog_name, "wr")
272 final_file.write(mem_file.getvalue())