The JSONOutput object exports the data prepared by the KE tool to a format...

The JSONOutput object exports the data prepared by the KE tool to a format that follows the JSON schema

dream/KnowledgeExtraction/JSONOutput.py

+# ===========================================================================
+# 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/>.
+# ===========================================================================
+
+'''
+Created on 25 Mar 2015
+
+@author: Panos
+'''
+#=========================================== The JSONOutput object =============================================================#
+#The JSONOutput object exports the data prepared by the KE tool to a format that follows the JSON schema. It uses predefined tags in the JSON schema. 
+class JSONOutput(object):
+    def Distributions(self,data):
+        data1={}
+        dist=data['distributionType']
+        del data['distributionType']
+        data1[dist]=data
+        data=data1
+        return data
+        
+    def ProcessingTimes(self,data,stationId,distDict):
+        nodes = data['graph']['node']    #It creates a variable that holds the 'nodes' dictionary
+        for element in nodes:  
+            if element==stationId:                #It checks using if syntax if the element is the provided as argument stationId
+                nodes[stationId]['processingTime']=self.Distributions(distDict)          
+        return data
+    
+    def TTF(self,data,stationId,distDict):
+        nodes = data['graph']['node']    #It creates a variable that holds the 'nodes' dictionary
+        for element in nodes:
+            if element==stationId:                #It checks using if syntax if the element is the provided as argument stationId
+                nodes[stationId]['interruptions']['failure']['TTF']=self.Distributions(distDict)          
+        return data
+    
+    def TTR(self,data,stationId,distDict):
+        nodes = data['graph']['node']    #It creates a variable that holds the 'nodes' dictionary
+        for element in nodes:
+            if element==stationId:                #It checks using if syntax if the element is the provided as argument stationId
+                nodes[stationId]['interruptions']['failure']['TTR']=self.Distributions(distDict)          
+        return data
+    
+    def InterarrivalTime(self,data,stationId,distDict):
+        nodes = data['graph']['node']    #It creates a variable that holds the 'nodes' dictionary
+        for element in nodes:  
+            if element==stationId:                #It checks using if syntax if the element is the provided as argument stationId
+                nodes[stationId]['interarrivalTime']=self.Distributions(distDict)          
+        return data
+        
+    
+            
+            
+        
+        
+    
+        
+        
+        
+        
+        
+        
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