1 # -*- coding: utf-8 -*-
2 # Copyright (C) 2010-2011 EDF R&D
4 # This library is free software; you can redistribute it and/or
5 # modify it under the terms of the GNU Lesser 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
18 # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
20 # Author: André Ribes, andre.ribes@edf.fr, EDF R&D
22 from generator.generator_python import PythonGenerator
28 Retourne les informations necessaires pour le chargeur de plugins
30 Ces informations sont retournees dans un dictionnaire
35 # La factory pour creer une instance du plugin
36 'factory' : AdaoGenerator,
39 class AdaoGenerator(PythonGenerator):
41 def __init__(self,cr=None):
42 PythonGenerator.__init__(self, cr)
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)
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))
62 self.text_da_status = False
64 self.text_da_status = True
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)
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 )
80 def generMCSIMP(self,obj) :
82 Convertit un objet MCSIMP en texte python
85 for i in obj.get_genealogie() :
87 self.dictMCVal[clef]=obj.valeur
89 s=PythonGenerator.generMCSIMP(self,obj)
92 def generate_da(self):
94 if "__CHECKING_STUDY__Study_name" in self.dictMCVal.keys():
95 self.type_of_study = "CHECKING_STUDY"
97 self.type_of_study = "ASSIMILATION_STUDY"
99 self.text_da += "#-*-coding:iso-8859-1-*- \n"
100 self.text_da += "study_config = {} \n"
102 # Extraction de Study_type
103 self.text_da += "study_config['StudyType'] = '" + self.type_of_study + "'\n"
104 # Extraction de Study_name
105 self.text_da += "study_config['Name'] = '" + self.dictMCVal["__"+self.type_of_study+"__Study_name"] + "'\n"
106 # Extraction de Debug
107 self.text_da += "study_config['Debug'] = '" + str(self.dictMCVal["__"+self.type_of_study+"__Debug"]) + "'\n"
108 # Extraction de Algorithm
109 self.text_da += "study_config['Algorithm'] = '" + self.dictMCVal["__"+self.type_of_study+"__Algorithm"] + "'\n"
111 if "__"+self.type_of_study+"__Background__INPUT_TYPE" in self.dictMCVal.keys():
112 self.add_data("Background")
113 if "__"+self.type_of_study+"__BackgroundError__INPUT_TYPE" in self.dictMCVal.keys():
114 self.add_data("BackgroundError")
115 if "__"+self.type_of_study+"__Observation__INPUT_TYPE" in self.dictMCVal.keys():
116 self.add_data("Observation")
117 if "__"+self.type_of_study+"__ObservationError__INPUT_TYPE" in self.dictMCVal.keys():
118 self.add_data("ObservationError")
119 if "__"+self.type_of_study+"__CheckingPoint__INPUT_TYPE" in self.dictMCVal.keys():
120 self.add_data("CheckingPoint")
121 self.add_data("ObservationOperator")
124 # Parametres optionnels
126 # Extraction du Study_repertory
127 if "__"+self.type_of_study+"__Study_repertory" in self.dictMCVal.keys():
128 self.text_da += "study_config['Repertory'] = '" + self.dictMCVal["__"+self.type_of_study+"__Study_repertory"] + "'\n"
129 # Extraction de AlgorithmParameters
130 if "__"+self.type_of_study+"__AlgorithmParameters__INPUT_TYPE" in self.dictMCVal.keys():
131 self.add_algorithm_parameters()
132 # Extraction de UserPostAnalysis
133 if "__"+self.type_of_study+"__UserPostAnalysis__FROM" in self.dictMCVal.keys():
134 self.add_UserPostAnalysis()
135 if "__"+self.type_of_study+"__UserDataInit__INIT_FILE" in self.dictMCVal.keys():
137 if "__"+self.type_of_study+"__Observers__SELECTION" in self.dictMCVal.keys():
140 def add_data(self, data_name):
142 # Extraction des données
143 search_text = "__"+self.type_of_study+"__" + data_name + "__"
144 data_type = self.dictMCVal[search_text + "INPUT_TYPE"]
145 search_type = search_text + data_type + "__data__"
146 from_type = self.dictMCVal[search_type + "FROM"]
148 if from_type == "String":
149 data = self.dictMCVal[search_type + "STRING_DATA__STRING"]
150 elif from_type == "Script":
151 data = self.dictMCVal[search_type + "SCRIPT_DATA__SCRIPT_FILE"]
152 elif from_type == "FunctionDict":
153 data = self.dictMCVal[search_type + "FUNCTIONDICT_DATA__FUNCTIONDICT_FILE"]
155 raise Exception('From Type unknown', from_type)
157 if from_type == "String" or from_type == "Script":
158 self.text_da += data_name + "_config = {}\n"
159 self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n"
160 self.text_da += data_name + "_config['From'] = '" + from_type + "'\n"
161 self.text_da += data_name + "_config['Data'] = '" + data + "'\n"
162 if search_text+"Stored" in self.dictMCVal.keys():
163 self.text_da += data_name + "_config['Stored'] = '" + str(self.dictMCVal[search_text+"Stored"]) + "'\n"
164 self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n"
166 if from_type == "FunctionDict":
167 self.text_da += data_name + "_FunctionDict = {}\n"
168 self.text_da += data_name + "_FunctionDict['Function'] = ['Direct', 'Tangent', 'Adjoint']\n"
169 self.text_da += data_name + "_FunctionDict['Script'] = {}\n"
170 self.text_da += data_name + "_FunctionDict['Script']['Direct'] = '" + data + "'\n"
171 self.text_da += data_name + "_FunctionDict['Script']['Tangent'] = '" + data + "'\n"
172 self.text_da += data_name + "_FunctionDict['Script']['Adjoint'] = '" + data + "'\n"
173 self.text_da += data_name + "_config = {}\n"
174 self.text_da += data_name + "_config['Type'] = 'Function'\n"
175 self.text_da += data_name + "_config['From'] = 'FunctionDict'\n"
176 self.text_da += data_name + "_config['Data'] = " + data_name + "_FunctionDict\n"
177 self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n"
179 def add_algorithm_parameters(self):
181 data_name = "AlgorithmParameters"
184 data = self.dictMCVal["__"+self.type_of_study+"__AlgorithmParameters__Dict__data__SCRIPT_DATA__SCRIPT_FILE"]
186 self.text_da += data_name + "_config = {} \n"
187 self.text_da += data_name + "_config['Type'] = '" + data_type + "'\n"
188 self.text_da += data_name + "_config['From'] = '" + from_type + "'\n"
189 self.text_da += data_name + "_config['Data'] = '" + data + "'\n"
190 self.text_da += "study_config['" + data_name + "'] = " + data_name + "_config\n"
194 init_file_data = self.dictMCVal["__"+self.type_of_study+"__UserDataInit__INIT_FILE"]
195 init_target_list = self.dictMCVal["__"+self.type_of_study+"__UserDataInit__TARGET_LIST"]
197 self.text_da += "Init_config = {}\n"
198 self.text_da += "Init_config['Type'] = 'Dict'\n"
199 self.text_da += "Init_config['From'] = 'Script'\n"
200 self.text_da += "Init_config['Data'] = '" + init_file_data + "'\n"
201 self.text_da += "Init_config['Target'] = ["
202 if type(init_target_list) is type("str"):
203 self.text_da += "'" + init_target_list + "',"
205 for target in init_target_list:
206 self.text_da += "'" + target + "',"
207 self.text_da += "]\n"
208 self.text_da += "study_config['UserDataInit'] = Init_config\n"
210 def add_UserPostAnalysis(self):
212 from_type = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__FROM"]
214 if from_type == "String":
215 data = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__STRING_DATA__STRING"]
216 self.text_da += "Analysis_config = {}\n"
217 self.text_da += "Analysis_config['From'] = 'String'\n"
218 self.text_da += "Analysis_config['Data'] = \"\"\"" + data + "\"\"\"\n"
219 self.text_da += "study_config['UserPostAnalysis'] = Analysis_config\n"
220 elif from_type == "Script":
221 data = self.dictMCVal["__"+self.type_of_study+"__UserPostAnalysis__SCRIPT_DATA__SCRIPT_FILE"]
222 self.text_da += "Analysis_config = {}\n"
223 self.text_da += "Analysis_config['From'] = 'Script'\n"
224 self.text_da += "Analysis_config['Data'] = '" + data + "'\n"
225 self.text_da += "study_config['UserPostAnalysis'] = Analysis_config\n"
227 raise Exception('From Type unknown', from_type)
229 def add_variables(self):
232 if "__"+self.type_of_study+"__InputVariables__NAMES" in self.dictMCVal.keys():
235 if isinstance(self.dictMCVal["__"+self.type_of_study+"__InputVariables__NAMES"], type("")):
236 names.append(self.dictMCVal["__"+self.type_of_study+"__InputVariables__NAMES"])
238 names = self.dictMCVal["__"+self.type_of_study+"__InputVariables__NAMES"]
239 if isinstance(self.dictMCVal["__"+self.type_of_study+"__InputVariables__SIZES"], type(1)):
240 sizes.append(self.dictMCVal["__"+self.type_of_study+"__InputVariables__SIZES"])
242 sizes = self.dictMCVal["__"+self.type_of_study+"__InputVariables__SIZES"]
244 self.text_da += "inputvariables_config = {}\n"
245 self.text_da += "inputvariables_config['Order'] = %s\n" % list(names)
246 for name, size in zip(names, sizes):
247 self.text_da += "inputvariables_config['%s'] = %s\n" % (name,size)
248 self.text_da += "study_config['InputVariables'] = inputvariables_config\n"
250 self.text_da += "inputvariables_config = {}\n"
251 self.text_da += "inputvariables_config['Order'] =['adao_default']\n"
252 self.text_da += "inputvariables_config['adao_default'] = -1\n"
253 self.text_da += "study_config['InputVariables'] = inputvariables_config\n"
256 if "__"+self.type_of_study+"__OutputVariables__NAMES" in self.dictMCVal.keys():
259 if isinstance(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__NAMES"], type("")):
260 names.append(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__NAMES"])
262 names = self.dictMCVal["__"+self.type_of_study+"__OutputVariables__NAMES"]
263 if isinstance(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__SIZES"], type(1)):
264 sizes.append(self.dictMCVal["__"+self.type_of_study+"__OutputVariables__SIZES"])
266 sizes = self.dictMCVal["__"+self.type_of_study+"__OutputVariables__SIZES"]
268 self.text_da += "outputvariables_config = {}\n"
269 self.text_da += "outputvariables_config['Order'] = %s\n" % list(names)
270 for name, size in zip(names, sizes):
271 self.text_da += "outputvariables_config['%s'] = %s\n" % (name,size)
272 self.text_da += "study_config['OutputVariables'] = outputvariables_config\n"
274 self.text_da += "outputvariables_config = {}\n"
275 self.text_da += "outputvariables_config['Order'] = ['adao_default']\n"
276 self.text_da += "outputvariables_config['adao_default'] = -1\n"
277 self.text_da += "study_config['OutputVariables'] = outputvariables_config\n"
279 def add_observers(self):
281 observer = self.dictMCVal["__"+self.type_of_study+"__Observers__SELECTION"]
282 if isinstance(observer, type("")):
283 self.add_observer_in_dict(observer, observers)
285 for observer in self.dictMCVal["__"+self.type_of_study+"__Observers__SELECTION"]:
286 self.add_observer_in_dict(observer, observers)
288 # Write observers in the python command file
290 self.text_da += "observers = {}\n"
291 for observer in observers.keys():
293 self.text_da += "observers[\"" + observer + "\"] = {}\n"
294 self.text_da += "observers[\"" + observer + "\"][\"number\"] = " + str(number) + "\n"
295 self.text_da += "observers[\"" + observer + "\"][\"nodetype\"] = \"" + observers[observer]["nodetype"] + "\"\n"
296 if observers[observer]["nodetype"] == "String":
297 self.text_da += "observers[\"" + observer + "\"][\"String\"] = \"\"\"" + observers[observer]["script"] + "\"\"\"\n"
299 self.text_da += "observers[\"" + observer + "\"][\"Script\"] = \"" + observers[observer]["file"] + "\"\n"
300 if "scheduler" in observers[observer].keys():
301 self.text_da += "observers[\"" + observer + "\"][\"scheduler\"] = \"\"\"" + observers[observer]["scheduler"] + "\"\"\"\n"
302 self.text_da += "study_config['Observers'] = observers\n"
304 def add_observer_in_dict(self, observer, observers):
306 Add observer in the observers dict.
308 observers[observer] = {}
309 observers[observer]["name"] = observer
310 observer_eficas_name = "__"+self.type_of_study+"__Observers__" + observer + "__" + observer + "_data__"
312 node_type_key_name = observer_eficas_name + "NodeType"
313 observers[observer]["nodetype"] = self.dictMCVal[node_type_key_name]
315 # NodeType script/file
316 if observers[observer]["nodetype"] == "String":
317 observers[observer]["script"] = self.dictMCVal[observer_eficas_name + "PythonScript__Value"]
319 observers[observer]["file"] = self.dictMCVal[observer_eficas_name + "UserFile__Value"]
322 scheduler_key_name = observer_eficas_name + "Scheduler"
323 if scheduler_key_name in self.dictMCVal.keys():
324 observers[observer]["scheduler"] = self.dictMCVal[scheduler_key_name]
326 info_key_name = observer_eficas_name + "Info"
327 if info_key_name in self.dictMCVal.keys():
328 observers[observer]["info"] = self.dictMCVal[info_key_name]