from paraview.simple import * from paraview import coprocessing #-------------------------------------------------------------- # Code generated from cpstate.py to create the CoProcessor. # ----------------------- CoProcessor definition ----------------------- def CreateCoProcessor(): def _CreatePipeline(coprocessor, datadescription): class Pipeline: coprocessor.CreateProducer( datadescription, "input" ) return Pipeline() class CoProcessor(coprocessing.CoProcessor): def CreatePipeline(self, datadescription): self.Pipeline = _CreatePipeline(self, datadescription) coprocessor = CoProcessor() freqs = {'input': []} coprocessor.SetUpdateFrequencies(freqs) return coprocessor #-------------------------------------------------------------- # Global variables that will hold the pipeline for each timestep # Creating the CoProcessor object, doesn't actually create the ParaView pipeline. # It will be automatically setup when coprocessor.UpdateProducers() is called the # first time. coprocessor = CreateCoProcessor() #-------------------------------------------------------------- # Enable Live-Visualizaton with ParaView coprocessor.EnableLiveVisualization(True) # ---------------------- Data Selection method ---------------------- def RequestDataDescription(datadescription): "Callback to populate the request for current timestep" global coprocessor if datadescription.GetForceOutput() == True: # We are just going to request all fields and meshes from the simulation # code/adaptor. for i in range(datadescription.GetNumberOfInputDescriptions()): datadescription.GetInputDescription(i).AllFieldsOn() datadescription.GetInputDescription(i).GenerateMeshOn() return # setup requests for all inputs based on the requirements of the # pipeline. coprocessor.LoadRequestedData(datadescription) # ------------------------ Processing method ------------------------ def DoCoProcessing(datadescription): "Callback to do co-processing for current timestep" global coprocessor # Update the coprocessor by providing it the newly generated simulation data. # If the pipeline hasn't been setup yet, this will setup the pipeline. coprocessor.UpdateProducers(datadescription) # Write output data, if appropriate. coprocessor.WriteData(datadescription); # Write image capture (Last arg: rescale lookup table), if appropriate. coprocessor.WriteImages(datadescription, rescale_lookuptable=False) # Live Visualization, if enabled. coprocessor.DoLiveVisualization(datadescription, "localhost", 22222)