195 lines
7.5 KiB
Python
Executable File
195 lines
7.5 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,vtk
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import damask
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from collections import defaultdict
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from optparse import OptionParser
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Add scalars, vectors, and/or an RGB tuple from an ASCIItable to existing VTK rectilinear grid (.vtr/.vtk).
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""", version = scriptID)
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parser.add_option( '--vtk',
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dest = 'vtk',
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type = 'string', metavar = 'string',
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help = 'VTK file name')
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parser.add_option( '--inplace',
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dest = 'inplace',
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action = 'store_true',
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help = 'modify VTK file in-place')
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parser.add_option('-r', '--render',
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dest = 'render',
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action = 'store_true',
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help = 'open output in VTK render window')
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parser.add_option('-s', '--scalar',
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dest = 'scalar',
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action = 'extend', metavar = '<string LIST>',
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help = 'scalar value label(s)')
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parser.add_option('-v', '--vector',
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dest = 'vector',
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action = 'extend', metavar = '<string LIST>',
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help = 'vector value label(s)')
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parser.add_option('-c', '--color',
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dest = 'color',
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action = 'extend', metavar = '<string LIST>',
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help = 'RGB color tuple label')
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parser.set_defaults(scalar = [],
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vector = [],
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color = [],
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inplace = False,
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render = False,
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)
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(options, filenames) = parser.parse_args()
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if not options.vtk: parser.error('No VTK file specified.')
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if not os.path.exists(options.vtk): parser.error('VTK file does not exist.')
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if os.path.splitext(options.vtk)[1] == '.vtr':
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reader = vtk.vtkXMLRectilinearGridReader()
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reader.SetFileName(options.vtk)
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reader.Update()
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rGrid = reader.GetOutput()
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elif os.path.splitext(options.vtk)[1] == '.vtk':
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reader = vtk.vtkGenericDataObjectReader()
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reader.SetFileName(options.vtk)
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reader.Update()
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rGrid = reader.GetRectilinearGridOutput()
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else:
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parser.error('Unsupported VTK file type extension.')
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Npoints = rGrid.GetNumberOfPoints()
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Ncells = rGrid.GetNumberOfCells()
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damask.util.croak('{}: {} points and {} cells...'.format(options.vtk,Npoints,Ncells))
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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for name in filenames:
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try: table = damask.ASCIItable(name = name,
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buffered = False,
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readonly = True)
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except: continue
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damask.util.report(scriptName, name)
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# --- interpret header ----------------------------------------------------------------------------
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table.head_read()
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remarks = []
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errors = []
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VTKarray = {}
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active = defaultdict(list)
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for datatype,dimension,label in [['scalar',1,options.scalar],
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['vector',3,options.vector],
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['color',3,options.color],
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]:
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for i,dim in enumerate(table.label_dimension(label)):
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me = label[i]
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if dim == -1: remarks.append('{} "{}" not found...'.format(datatype,me))
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elif dim > dimension: remarks.append('"{}" not of dimension {}...'.format(me,dimension))
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else:
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remarks.append('adding {} "{}"...'.format(datatype,me))
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active[datatype].append(me)
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if datatype in ['scalar','vector']: VTKarray[me] = vtk.vtkDoubleArray()
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elif datatype == 'color': VTKarray[me] = vtk.vtkUnsignedCharArray()
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VTKarray[me].SetNumberOfComponents(dimension)
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VTKarray[me].SetName(label[i])
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if remarks != []: damask.util.croak(remarks)
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True)
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continue
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# ------------------------------------------ process data ---------------------------------------
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datacount = 0
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while table.data_read(): # read next data line of ASCII table
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datacount += 1 # count data lines
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for datatype,labels in active.items(): # loop over scalar,color
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for me in labels: # loop over all requested items
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theData = [table.data[i] for i in table.label_indexrange(me)] # read strings
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if datatype == 'color': VTKarray[me].InsertNextTuple3(*map(lambda x: int(255.*float(x)),theData))
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elif datatype == 'vector': VTKarray[me].InsertNextTuple3(*map(float,theData))
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elif datatype == 'scalar': VTKarray[me].InsertNextValue(float(theData[0]))
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table.close() # close input ASCII table
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# ------------------------------------------ add data ---------------------------------------
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if datacount == Npoints: mode = 'point'
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elif datacount == Ncells: mode = 'cell'
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else:
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damask.util.croak('Data count is incompatible with grid...')
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continue
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damask.util.croak('{} mode...'.format(mode))
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for datatype,labels in active.items(): # loop over scalar,color
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if datatype == 'color':
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if mode == 'cell': rGrid.GetCellData().SetScalars(VTKarray[active['color'][0]])
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elif mode == 'point': rGrid.GetPointData().SetScalars(VTKarray[active['color'][0]])
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for me in labels: # loop over all requested items
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if mode == 'cell': rGrid.GetCellData().AddArray(VTKarray[me])
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elif mode == 'point': rGrid.GetPointData().AddArray(VTKarray[me])
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rGrid.Modified()
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if vtk.VTK_MAJOR_VERSION <= 5: rGrid.Update()
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# ------------------------------------------ output result ---------------------------------------
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writer = vtk.vtkXMLRectilinearGridWriter()
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writer.SetDataModeToBinary()
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writer.SetCompressorTypeToZLib()
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writer.SetFileName(os.path.splitext(options.vtk)[0]+('.vtr' if options.inplace else '_added.vtr'))
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if vtk.VTK_MAJOR_VERSION <= 5: writer.SetInput(rGrid)
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else: writer.SetInputData(rGrid)
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writer.Write()
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# ------------------------------------------ render result ---------------------------------------
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if options.render:
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mapper = vtk.vtkDataSetMapper()
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mapper.SetInputData(rGrid)
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actor = vtk.vtkActor()
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actor.SetMapper(mapper)
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# Create the graphics structure. The renderer renders into the
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# render window. The render window interactor captures mouse events
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# and will perform appropriate camera or actor manipulation
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# depending on the nature of the events.
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ren = vtk.vtkRenderer()
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renWin = vtk.vtkRenderWindow()
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renWin.AddRenderer(ren)
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ren.AddActor(actor)
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ren.SetBackground(1, 1, 1)
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renWin.SetSize(200, 200)
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iren = vtk.vtkRenderWindowInteractor()
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iren.SetRenderWindow(renWin)
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iren.Initialize()
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renWin.Render()
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iren.Start()
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