DAMASK_EICMD/processing/post/addDeformedConfiguration.py

131 lines
6.7 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,re,sys,math,string
import numpy as np
from collections import defaultdict
from optparse import OptionParser
import damask
scriptID = '$Id$'
scriptName = scriptID.split()[1]
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options file[s]', description = """
Add column(s) containing deformed configuration of requested column(s).
Operates on periodic ordered three-dimensional data sets.
""", version = string.replace(scriptID,'\n','\\n')
)
parser.add_option('-c','--coordinates', dest='coords', action='store', type='string', metavar='string', \
help='column heading for coordinates [%default]')
parser.add_option('-d','--defgrad', dest='defgrad', action='store', type='string', metavar='string', \
help='heading of columns containing tensor field values')
parser.add_option('-l', '--linear', dest='linearreconstruction', action='store_true',\
help='use linear reconstruction of geometry [%default]')
parser.set_defaults(coords = 'ip')
parser.set_defaults(defgrad = 'f' )
parser.set_defaults(linearreconstruction = False)
(options,filenames) = parser.parse_args()
datainfo = { # list of requested labels per datatype
'defgrad': {'len':9,
'label':[]},
}
datainfo['defgrad']['label'].append(options.defgrad)
# ------------------------------------------ setup file handles -------------------------------------
files = []
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:
file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
table.head_read() # read ASCII header info
table.info_append(string.replace(scriptID,'\n','\\n') + '\t' + ' '.join(sys.argv[1:]))
# --------------- figure out dimension and resolution ----------------------------------------------
try:
locationCol = table.labels.index('%s.x'%options.coords) # columns containing location data
except ValueError:
file['croak'].write('no coordinate data found...\n'%key)
continue
grid = [{},{},{}]
while table.data_read(): # read next data line of ASCII table
for j in xrange(3):
grid[j][str(table.data[locationCol+j])] = True # remember coordinate along x,y,z
res = np.array([len(grid[0]),\
len(grid[1]),\
len(grid[2]),],'i') # resolution is number of distinct coordinates found
geomdim = res/np.maximum(np.ones(3,'d'),res-1.0)* \
np.array([max(map(float,grid[0].keys()))-min(map(float,grid[0].keys())),\
max(map(float,grid[1].keys()))-min(map(float,grid[1].keys())),\
max(map(float,grid[2].keys()))-min(map(float,grid[2].keys())),\
],'d') # dimension from bounding box, corrected for cell-centeredness
if res[2] == 1:
geomdim[2] = min(geomdim[:2]/res[:2])
N = res.prod()
# --------------- figure out columns to process ---------------------------------------------------
missingColumns = False
for datatype,info in datainfo.items():
for label in info['label']:
key = '1_%s'%label
if key not in table.labels:
file['croak'].write('column %s not found...\n'%key)
missingColumns = True
else:
column = table.labels.index(key) # remember columns of requested data
if missingColumns:
continue
# ------------------------------------------ assemble header ---------------------------------------
table.labels_append(['%s_coords'%(coord+1) for coord in xrange(3)]) # extend ASCII header with new labels
table.head_write()
# ------------------------------------------ read deformation gradient field -----------------------
table.data_rewind()
F = np.array([0.0 for i in xrange(N*9)]).reshape([3,3]+list(res))
idx = 0
while table.data_read():
(x,y,z) = damask.util.gridLocation(idx,res) # figure out (x,y,z) position from line count
idx += 1
F[0:3,0:3,x,y,z] = np.array(map(float,table.data[column:column+9]),'d').reshape(3,3)
# ------------------------------------------ calculate coordinates ---------------------------------
Favg = damask.core.math.tensorAvg(F)
if options.linearreconstruction:
centroids = damask.core.mesh.deformedCoordsLin(geomdim,F,Favg)
else:
centroids = damask.core.mesh.deformedCoordsFFT(geomdim,F,Favg)
# ------------------------------------------ process data ------------------------------------------
table.data_rewind()
idx = 0
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
(x,y,z) = damask.util.gridLocation(idx,res) # figure out (x,y,z) position from line count
idx += 1
table.data_append(list(centroids[:,x,y,z]))
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)
os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new