script to add a suffix to specified ASCIItable labels

processing/post/tagLabel.py

@@ -0,0 +1,124 @@
+#!/usr/bin/env python
+
+import os,re,sys,math,string,damask
+from optparse import OptionParser, Option
+
+# -----------------------------
+class extendableOption(Option):
+# -----------------------------
+# used for definition of new option parser action 'extend', which enables to take multiple option arguments
+# taken from online tutorial http://docs.python.org/library/optparse.html
+  
+  ACTIONS = Option.ACTIONS + ("extend",)
+  STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
+  TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
+  ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
+
+  def take_action(self, action, dest, opt, value, values, parser):
+    if action == "extend":
+      lvalue = value.split(",")
+      values.ensure_value(dest, []).extend(lvalue)
+    else:
+      Option.take_action(self, action, dest, opt, value, values, parser)
+
+
+
+# --------------------------------------------------------------------
+#                                MAIN
+# --------------------------------------------------------------------
+
+parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """
+Tag scalar, vectorial, and/or tensorial data header labels by specified suffix.
+
+""" + string.replace('$Id$','\n','\\n')
+)
+
+parser.add_option('-l','--tag',         dest='tag', type='string', \
+                                        help='tag to use as suffix for labels')
+parser.add_option('-v','--vector',      dest='vector', action='extend', type='string', \
+                                        help='heading of columns containing 3x1 vector field values')
+parser.add_option('-t','--tensor',      dest='tensor', action='extend', type='string', \
+                                        help='heading of columns containing 3x3 tensor field values')
+parser.add_option('-s','--special',     dest='special', action='extend', type='string', \
+                                        help='heading of columns containing field values of special dimension')
+parser.add_option('-d','--dimension',   dest='N', action='store', type='int', \
+                                        help='dimension of special field values [%default]')
+
+parser.set_defaults(tag = '')
+parser.set_defaults(vector = [])
+parser.set_defaults(tensor = [])
+parser.set_defaults(special = [])
+parser.set_defaults(N = 1)
+
+(options,filenames) = parser.parse_args()
+
+datainfo = {                                                               # list of requested labels per datatype
+             'vector':     {'len':3,
+                            'label':[]},
+             'tensor':     {'len':9,
+                            'label':[]},
+             'special':    {'len':options.N,
+                            'label':[]},
+           }
+
+
+if options.vector  != None:    datainfo['vector']['label']  += options.vector
+if options.tensor  != None:    datainfo['tensor']['label']  += options.tensor
+if options.special != None:    datainfo['special']['label'] += options.special
+
+
+# ------------------------------------------ setup file handles ---------------------------------------  
+
+files = []
+if filenames == []:
+  files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout})
+else:
+  for name in filenames:
+    if os.path.exists(name):
+      files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w')})
+
+# ------------------------------------------ loop over input files ---------------------------------------  
+
+for file in files:
+  if file['name'] != 'STDIN': print file['name']
+
+  table = damask.ASCIItable(file['input'],file['output'],False)             # make unbuffered ASCII_table
+  table.head_read()                                                         # read ASCII header info
+  table.info_append(string.replace('$Id$','\n','\\n') + \
+                    '\t' + ' '.join(sys.argv[1:]))
+
+# ------------------------------------------ process labels ---------------------------------------  
+
+  if options.vector == [] and options.tensor == [] and options.special == []: # default to tagging all labels
+    for i,label in enumerate(table.labels):
+      table.labels[i] += options.tag
+  else:                                                                       # tag individual candidates
+    for datatype,info in datainfo.items():
+      for label in info['label']:
+        key = {True :'1_%s',
+               False:'%s'   }[info['len']>1]%label
+        if key not in table.labels:
+          sys.stderr.write('column %s not found...\n'%key)
+        else:
+          offset = table.labels.index(key)
+          for i in xrange(info['len']):
+            table.labels[offset+i] += options.tag
+
+# ------------------------------------------ assemble header ---------------------------------------  
+
+  table.head_write()
+
+# ------------------------------------------ process data ---------------------------------------  
+
+  outputAlive = True
+  while outputAlive and table.data_read():                                  # read next data line of ASCII table
+    outputAlive = table.data_write()                                        # output processed line
+
+# ------------------------------------------ output result ---------------------------------------  
+
+  outputAlive and table.output_flush()                                      # just in case of buffered ASCII table
+
+  file['input'].close()                                                     # close input ASCII table
+  if file['name'] != 'STDIN':
+    file['output'].close                                                    # close output ASCII table
+    os.rename(file['name']+'_tmp',file['name'])                             # overwrite old one with tmp new

processing/setup/setup_processing.py

@@ -107,6 +107,7 @@ bin_link = { \
                 'postResults.py',
                 'spectral_iterationCount.py',
                 'spectral_parseLog.py',
+                'tagLabel.py',
                 ],
             }