2 # Copyright (C) 2010 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)
27 from daYacsSchemaCreator.infos_daComposant import *
31 logging.debug("Arguments are :" + str(args))
33 logging.fatal("Bad number of arguments: you have to provide two arguments (%d given)" % (len(args)))
36 def check_study(study_config):
38 logging.debug("[check_env] study_config : " + str(study_config))
41 if not isinstance(study_config, dict):
42 logging.fatal("Study configuration is not a dictionnary")
46 if "Name" not in study_config:
47 logging.fatal("Cannot found Name in the study configuration")
51 if "Algorithm" not in study_config:
52 logging.fatal("Cannot found Algorithm in the study configuration")
55 if study_config["Algorithm"] not in AssimAlgos:
56 logging.fatal("Algorithm provided is unknow : " + str(study_config["Algorithm"]) +
57 "\n You can choose between : " + str(AssimAlgos))
61 if "Debug" not in study_config:
62 study_config["Debug"] = "0"
65 check_repertory = False
67 if "Repertory" in study_config.keys():
68 repertory = study_config["Repertory"]
69 check_repertory = True
70 if not os.path.isabs(repertory):
71 logging.fatal("Study repertory should be an absolute path")
72 logging.fatal("Repertory provided is %s" % repertory)
75 # Check if all the data is provided
76 for key in AlgoDataRequirements[study_config["Algorithm"]]:
77 if key not in study_config.keys():
78 logging.fatal("Cannot found " + key + " in your study configuration !" +
79 "\n This key is mandatory into a study with " + study_config["Algorithm"] + " algorithm." +
80 "\n " + study_config["Algorithm"] + " requirements are " + str(AlgoDataRequirements[study_config["Algorithm"]]))
84 for key in study_config.keys():
86 check_data(key, study_config[key], check_repertory, repertory)
89 if "UserDataInit" in study_config.keys():
90 check_data("UserDataInit", study_config["UserDataInit"], check_repertory, repertory)
93 if "UserPostAnalysis" in study_config.keys():
94 analysis_config = study_config["UserPostAnalysis"]
95 if "From" not in analysis_config:
96 logging.fatal("UserPostAnalysis found but From is not defined in the analysis configuration !")
99 if analysis_config["From"] not in AnalysisFromList:
100 logging.fatal("Analysis From defined in the study configuration does not have a correct type : " + str(analysis_config["From"])
101 + "\n You can have : " + str(AnalysisFromList))
103 if "Data" not in analysis_config:
104 logging.fatal("Analysis found but Data is not defined in the analysis configuration !")
107 if analysis_config["From"] == "Script":
110 check_file_name = os.path.join(repertory, os.path.basename(analysis_config["Data"]))
112 check_file_name = analysis_config["Data"]
113 if not os.path.exists(check_file_name):
114 logging.fatal("A script file cannot be found")
115 logging.fatal("File is %s" % check_file_name)
118 def check_data(data_name, data_config, repertory_check=False, repertory=""):
120 logging.debug("[check_data] " + data_name)
121 data_name_data = "Data"
122 data_name_type = "Type"
123 data_name_from = "From"
125 if data_name_data not in data_config:
126 logging.fatal(data_name +" found but " + data_name_data +" is not defined in the study configuration !")
129 if data_name_type not in data_config:
130 logging.fatal(data_name +" found but " + data_name_type +" is not defined in the study configuration !")
133 if data_config[data_name_type] not in AssimType[data_name]:
134 logging.fatal(data_name_type + " defined in the study configuration does not have a correct type : " + str(data_config[data_name_type])
135 + "\n You can have : " + str(AssimType[data_name]))
137 if data_name_from not in data_config:
138 logging.fatal(data_name + " found but " + data_name_from + " is not defined in the study configuration !")
141 if data_config[data_name_from] not in FromNumpyList[data_config[data_name_type]]:
142 logging.fatal(data_name_from + " defined in the study configuration does not have a correct value : " + str(data_config[data_name_from])
143 + "\n You can have : " + str(FromNumpyList[data_config[data_name_type]]))
147 from_type = data_config["From"]
148 if from_type == "Script":
151 check_file_name = os.path.join(repertory, os.path.basename(data_config["Data"]))
153 check_file_name = data_config["Data"]
154 if not os.path.exists(check_file_name):
155 logging.fatal("A script file cannot be found")
156 logging.fatal("File is %s" % check_file_name)
158 elif from_type == "FunctionDict":
159 FunctionDict = data_config["Data"]
160 for FunctionName in FunctionDict["Function"]:
163 check_file_name = os.path.join(repertory, os.path.basename(FunctionDict["Script"][FunctionName]))
165 check_file_name = FunctionDict["Script"][FunctionName]
166 if not os.path.exists(check_file_name):
167 logging.fatal("A script file cannot be found")
168 logging.fatal("File is %s" % check_file_name)