insert an example main script so as to be used for the integration of...

insert an example main script so as to be used for the integration of Knowledge extraction tool and GUI

dream/KnowledgeExtraction/Mainscript_KEGUI.py

+'''
+Created on 28 Feb 2014
+
+@author: Panos
+'''
+# ===========================================================================
+# Copyright 2013 University of Limerick
+#
+# This file is part of DREAM.
+#
+# DREAM is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# DREAM is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License
+# along with DREAM.  If not, see <http://www.gnu.org/licenses/>.
+# ===========================================================================
+
+import xlrd
+import json
+from DistributionFitting import DistFittest
+from ImportExceldata import Import_Excel
+
+workbook = xlrd.open_workbook('Mockup_ProcessingTimes.xls')      #Using xlrd library opens the Excel document with the input data 
+worksheets = workbook.sheet_names()
+worksheet_ProcessingTimes = worksheets[0]   #It defines the worksheet_ProcessingTimes as the first sheet of the Excel file
+
+A=Import_Excel()            #Call the Import_Excel object 
+B=DistFittest()             #Call the Distribution Fitting object
+ProcessingTimes= A.Input_data(worksheet_ProcessingTimes, workbook)  #Create a dictionary with the imported data from the Excel file
+
+jsonFile= open('BatchesInput.json','r')       #open the json file
+data = json.load(jsonFile)                            #It loads the file
+jsonFile.close()
+nodes = data['nodes'] 
+
+lista=[]
+for (element_id, element) in nodes.iteritems():  #This loop appends in a list the id's of the json file
+    element['id'] = element_id 
+    lista.append(element ['id'])
+
+fittingDict={}
+for element in ProcessingTimes:             #This loop searches the elements of the Excel imported data and if these elements exist in json file append the distribution fitting results in a dictionary   
+    if element in lista:
+        fittingDict[element]=B.ks_test(ProcessingTimes[element])
+
+for (element_id, element) in nodes.iteritems():  #This loop searches the ids in the json file and if the id exist in the dictionary with the distribution fitting results, replace the processing time node
+    if element_id in fittingDict:
+        element['processingTime']=fittingDict[element_id]
+           
+jsonFile = open('BatchesOutput.json',"w")     #It opens the JSON file
+jsonFile.write(json.dumps(data, indent=4))                                           #It writes the updated data to the JSON file 
+jsonFile.close()                                                                        #It closes the file