if it is a full batch buffered before the decomposition create it this way

dream/plugins/Batches/BatchesWIPShort.py

@@ -80,8 +80,21 @@ class BatchesWIPShort(plugin.InputPreparationPlugin):
                     proceeded=complete - (complete % workingBatchSize)
                     currentCompleted=awaiting % workingBatchSize
                     print buffered,proceeded,currentCompleted
+                    bufferedSubBatches=int(buffered/workingBatchSize)
+                    if self.checkIfStationIsAfterDecomposition(data, stationId):
+                        if buffered>=standardBatchUnits:
+                            bufferedBatches=int(buffered/standardBatchUnits)                        
+                            bufferedSubBatches=int((buffered-bufferedBatches*standardBatchUnits)/workingBatchSize)
+                            print bufferedBatches,bufferedSubBatches
+                            
+                            for i in range(bufferedBatches):
+                                bufferId=self.getBuffer(data, stationId)
+                                self.createBatch(data, bufferId, currentBatchId, currentBatchId,standardBatchUnits)
+                                batchCounter+=1
+                                currentBatchId='Batch_'+str(batchCounter)+'_WIP'
+                    
                     # set the buffered sub-batches to the previous station
-                    for i in range(int(buffered/workingBatchSize)):
+                    for i in range(bufferedSubBatches):
                         bufferId=self.getPredecessors(data, stationId)[0]
                         self.createSubBatch(data, bufferId, currentBatchId, currentBatchId, subBatchCounter, 
                                             workingBatchSize,receiver=stationId)
@@ -114,8 +127,7 @@ class BatchesWIPShort(plugin.InputPreparationPlugin):
                             batchCounter+=1
                             currentBatchId='Batch_'+str(batchCounter)+'_WIP'
                             unitsToCompleteBatch=standardBatchUnits
-                        
-            # for stations that do not share sub-batches with others
+            # for stations that operate on full batches
             else:
                 pass
                     
@@ -124,7 +136,7 @@ class BatchesWIPShort(plugin.InputPreparationPlugin):
     # creates a sub-batch in a station
     def createSubBatch(self,data,stationId,parentBatchId,parentBatchName,subBatchId,numberOfUnits,
                         unitsToProcess=0,receiver=None):
-        print 'creating',stationId,parentBatchId
+        print 'creating sub-batch',stationId,parentBatchId
         data['graph']['node'][stationId]['wip'].insert(0,{
               "_class": 'Dream.SubBatch',
               "id": parentBatchId+'_SB_'+str(subBatchId)+'_wip', 
@@ -137,6 +149,18 @@ class BatchesWIPShort(plugin.InputPreparationPlugin):
               }
         )   
         
+    # creates a batch in a station
+    def createBatch(self,data,stationId,batchId,batchName,numberOfUnits,unitsToProcess=0):
+        print 'creating batch',stationId,batchId,numberOfUnits
+        data['graph']['node'][stationId]['wip'].insert(0,{
+              "_class": 'Dream.Batch',
+              "id": batchId+'_wip',
+              "name":batchName+'_wip', 
+              "numberOfUnits":numberOfUnits,
+              "unitsToProcess": unitsToProcess,                                            
+              }
+        )   
+    
     # gets the data and a station id and returns a list with all the stations that the station may share batches
     def findSharingStations(self,data,stationId):
         nodes=data['graph']['node']