DAMASK_EICMD/processing/post/addMapped.py

127 lines
6.9 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,sys,string
from optparse import OptionParser
import damask
scriptID = string.replace('$Id: addCauchy.py 3331 2014-08-04 17:53:41Z MPIE\m.diehl $','\n','\\n')
scriptName = scriptID.split()[1][:-3]
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
Add data in column(s) of second ASCIItable selected from row that is given by the value in a mapping column.
""", version = scriptID)
parser.add_option('-a','--asciitable', dest='asciitable', action='store', type='string', metavar='string',
help='mapped ASCIItable')
parser.add_option('-c','--map', dest='map', action='store', type='string', metavar='string',
help='heading of column containing row mapping')
parser.add_option('-o','--offset', dest='offset', action='store', type='int', metavar='int',
help='offset between mapped column value and row')
parser.add_option('-v','--vector', dest='vector', action='extend', type='string', metavar='<string LIST>',
help='heading of columns containing vector field values')
parser.add_option('-t','--tensor', dest='tensor', action='extend', type='string', metavar='<string LIST>',
help='heading of columns containing tensor field values')
parser.add_option('-s','--special', dest='special', action='extend', type='string', metavar='<string LIST>',
help='heading of columns containing field values of special dimension')
parser.add_option('-d','--dimension', dest='N', action='store', type='int', metavar='int',
help='dimension of special field values [%default]')
parser.set_defaults(vector = [])
parser.set_defaults(tensor = [])
parser.set_defaults(special = [])
parser.set_defaults(offset = 0)
parser.set_defaults(N = 1)
(options,filenames) = parser.parse_args()
if len(options.vector) + len(options.tensor) + len(options.special) == 0:
parser.error('no data column specified...')
if options.map == None:
parser.error('missing mapping column...')
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
# ------------------------------------------ processing mapping ASCIItable -------------------------
if options.asciitable != None and os.path.isfile(options.asciitable):
mappedTable = damask.ASCIItable(open(options.asciitable),None,False)
mappedTable.head_read() # read ASCII header info of mapped table
labels = []
indices = []
for datatype,info in datainfo.items():
for label in info['label']:
key = {True:'1_'+label,False:label}[info['len']==1]
if key in mappedTable.labels:
labels.append(label) # extend labels
indices += range(mappedTable.labels.index(key),
mappedTable.labels.index(key)+datainfo[datatype]['len'])
else:
file['croak'].write('column %s not found...\n'%label)
break
mappedTable.data_readArray(indices)
mappedTable.__IO__['in'].close() # close mapped input ASCII table
else:
parser.error('missing mapped ASCIItable...')
# ------------------------------------------ setup file handles ------------------------------------
files = []
if filenames == []:
files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr})
else:
for name in filenames:
if os.path.exists(name):
files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stderr})
# ------------------------------------------ loop over input files ---------------------------------
for file in files:
if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
table.head_read() # read ASCII header info
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
if options.map not in table.labels:
file['croak'].write('column %s not found...\n'%options.map)
continue
# ------------------------------------------ assemble header --------------------------------------
for datatype,info in datainfo.items():
for label in info['label']:
table.labels_append({True:['%i_%s'%(i+1,label) for i in xrange(info['len'])],
False:table.labels_append(label)}[info['len']>1] ) # extend ASCII header of current table with new labels
table.head_write()
# ------------------------------------------ process data ------------------------------------------
mappedColumn = table.labels.index(options.map)
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
table.data_append(mappedTable.data[int(table.data[mappedColumn])+options.offset-1]) # add all mapped data types
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 (works for stdin)
file['output'].close() # close output ASCII table (works for stdout)
if file['name'] != 'STDIN':
os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new