102 lines
3.6 KiB
Python
Executable File
102 lines
3.6 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string,vtk
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import numpy as np
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import damask
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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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Produce a VTK point cloud dataset based on coordinates given in an ASCIItable.
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""", version = scriptID)
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parser.add_option('-d', '--deformed',
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dest = 'deformed',
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type = 'string', metavar = 'string',
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help = 'deformed coordinate label [%default]')
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parser.set_defaults(deformed = 'ipdeformedcoord'
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)
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(options, filenames) = parser.parse_args()
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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:
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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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errors = []
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remarks = []
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coordDim = table.label_dimension(options.deformed)
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if not 3 >= coordDim >= 1: errors.append('coordinates "{}" need to have one, two, or three dimensions.'.format(options.deformed))
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elif coordDim < 3: remarks.append('appending {} dimensions to coordinates "{}"...'.format(3-coordDim,options.deformed))
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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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table.data_readArray(options.deformed)
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if len(table.data.shape) < 2: table.data.shape += (1,) # expand to 2D shape
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if table.data.shape[1] < 3:
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table.data = np.hstack((table.data,
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np.zeros((table.data.shape[0],
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3-table.data.shape[1]),dtype='f'))) # fill coords up to 3D with zeros
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Polydata = vtk.vtkPolyData()
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Points = vtk.vtkPoints()
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Vertices = vtk.vtkCellArray()
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for p in table.data:
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pointID = Points.InsertNextPoint(p)
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Vertices.InsertNextCell(1)
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Vertices.InsertCellPoint(pointID)
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Polydata.SetPoints(Points)
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Polydata.SetVerts(Vertices)
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Polydata.Modified()
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if vtk.VTK_MAJOR_VERSION <= 5: Polydata.Update()
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# ------------------------------------------ output result ---------------------------------------
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if name:
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writer = vtk.vtkXMLPolyDataWriter()
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(directory,filename) = os.path.split(name)
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writer.SetDataModeToBinary()
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writer.SetCompressorTypeToZLib()
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writer.SetFileName(os.path.join(directory,os.path.splitext(filename)[0]
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+'.'+writer.GetDefaultFileExtension()))
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else:
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writer = vtk.vtkDataSetWriter()
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writer.WriteToOutputStringOn()
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writer.SetHeader('# powered by '+scriptID)
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if vtk.VTK_MAJOR_VERSION <= 5: writer.SetInput(Polydata)
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else: writer.SetInputData(Polydata)
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writer.Write()
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if name == None: sys.stdout.write(writer.GetOutputString()[0:writer.GetOutputStringLength()])
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table.close()
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