Update DemandPlanningLine plugin to prepare data for OutputPreparationPlugin

dream/plugins/DemandPlanning/DemandPlanningLine.py

@@ -9,10 +9,12 @@ class DemandPlanningLine(plugin.OutputPreparationPlugin, TimeSupportMixin):
   def postprocess(self, data):
  
     from dream.simulation.applications.DemandPlanning.Globals import G
-    utilisation=G.Utilisation
-    # XXX current implementation for one bottleneck
-    for bottleneck in ['BE_A_VF78_DSO_3','BE_A_VK18_DKO_5']:
-        bottleNeckUtilization=G.Utilisation[bottleneck]      
+    
+    result = data['result']['result_list'][-1]
+    bottleNeckUtilizationDict = result['bottleneck_utilization'] = {}
+
+    for bottleneck, bottleNeckUtilization in G.Utilisation.iteritems():
+
         dateList=[]
         # get the current date from the data
         for record_id,record in bottleNeckUtilization.iteritems():
@@ -20,13 +22,14 @@ class DemandPlanningLine(plugin.OutputPreparationPlugin, TimeSupportMixin):
             week=str(record_id)[4:]
             fullDate=datetime.strptime(year+'-'+week+'-0', '%Y-%W-%w')
             dateList.append(fullDate)
+        
+        # XXX We need to make TimeSupportMixin resuable. We should not have to do this.
         currentDate=str(min(dateList))
         currentDate=currentDate.replace('-', '/')
         data['general']['currentDate']=currentDate
         data['general']['timeUnit']='week'
         self.initializeTimeSupport(data)
-        result = data['result']['result_list'][-1]
-    
+        
         series = []
         options = {
           "xaxis": {
@@ -35,23 +38,26 @@ class DemandPlanningLine(plugin.OutputPreparationPlugin, TimeSupportMixin):
           }
         }
      
-        result[bottleneck] = {
+        bottleNeckUtilizationDict[bottleneck] = {
           "series": series,
           "options": options
         }
         
         # create the 3 lines
-        for utilizationType in ['averageUtilization','minUtilization','maxUtilization']:
+        for (utilizationType, utilizationLabel) in [
+                ( 'averageUtilization', 'Average Utilization' ),
+                ( 'minUtilization', 'Min Utilization' ),
+                ( 'maxUtilization', 'Max Utilization' ) ]:
             utilizationList=[]
-            for record_id,record in bottleNeckUtilization.iteritems():
+            for record_id, record in bottleNeckUtilization.iteritems():
                 year=str(record_id)[0:4]
                 week=str(record_id)[4:]
                 fullDate=datetime.strptime(year+'-'+week+'-0', '%Y-%W-%w')
                 utilizationList.append([fullDate,record[utilizationType]])
-                
+
             utilizationList.sort(key=lambda x: x[0], reverse=True)    
             series.append({
-                "label": utilizationType,
+                "label": utilizationLabel,
                 "data": [((time-datetime(1970, 1, 1)).total_seconds()*1000, value) for (time, value) in utilizationList]
             })