DAMASK_EICMD/processing/pre/geom_toTable.py

163 lines
6.4 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,sys,string,re,vtk
import numpy as np
from optparse import OptionParser, OptionGroup, Option, SUPPRESS_HELP
import damask
scriptID = string.replace('$Id$','\n','\\n')
scriptName = scriptID.split()[1][:-3]
#--------------------------------------------------------------------------------------------------
class extendedOption(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
#--------------------------------------------------------------------------------------------------
synonyms = {
'grid': ['resolution'],
'size': ['dimension'],
}
identifiers = {
'grid': ['a','b','c'],
'size': ['x','y','z'],
'origin': ['x','y','z'],
}
mappings = {
'grid': lambda x: int(x),
'size': lambda x: float(x),
'origin': lambda x: float(x),
'homogenization': lambda x: int(x),
'microstructures': lambda x: int(x),
}
parser = OptionParser(option_class=extendedOption, usage='%prog [geomfile[s]]', description = """
Produce ASCIItable of structure data from geom description
""" + string.replace(scriptID,'\n','\\n')
)
(options, filenames) = parser.parse_args()
#--- 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,
'croak':sys.stdout,
})
#--- loop over input files ------------------------------------------------------------------------
for file in files:
if file['name'] != 'STDIN':
file['input'] = open(file['name'])
file['output'] = open(os.path.splitext(file['name'])[0]+'.txt','w')
file['croak'].write('\033[1m' + scriptName + '\033[0m' + (': '+file['name'] if file['name'] != 'STDIN' else '') + '\n')
theTable = damask.ASCIItable(file['input'],file['output'],labels = False)
theTable.head_read()
#--- interpret header ----------------------------------------------------------------------------
info = {
'grid': np.zeros(3,'i'),
'size': np.zeros(3,'d'),
'origin': np.zeros(3,'d'),
'homogenization': 0,
'microstructures': 0,
}
for header in theTable.info:
headitems = map(str.lower,header.split())
if len(headitems) == 0: continue
for synonym,alternatives in synonyms.iteritems():
if headitems[0] in alternatives: headitems[0] = synonym
if headitems[0] in mappings.keys():
if headitems[0] in identifiers.keys():
for i in xrange(len(identifiers[headitems[0]])):
info[headitems[0]][i] = \
mappings[headitems[0]](headitems[headitems.index(identifiers[headitems[0]][i])+1])
else:
info[headitems[0]] = mappings[headitems[0]](headitems[1])
file['croak'].write('grid a b c: %s\n'%(' x '.join(map(str,info['grid']))) + \
'size x y z: %s\n'%(' x '.join(map(str,info['size']))) + \
'origin x y z: %s\n'%(' : '.join(map(str,info['origin']))) + \
'homogenization: %i\n'%info['homogenization'] + \
'microstructures: %i\n'%info['microstructures'])
if np.any(info['grid'] < 1):
file['croak'].write('invalid grid a b c.\n')
continue
if np.any(info['size'] <= 0.0):
file['croak'].write('invalid size x y z.\n')
continue
# ------------------------------------------ assemble header ---------------------------------------
theTable.labels_clear()
theTable.labels_append(['%i_pos'%(i+1) for i in range(3)]+['microstructure'])
theTable.head_write()
#--- generate grid --------------------------------------------------------------------------------
xx = np.arange(float(info['grid'][0]))/info['grid'][0]*info['size'][0]+info['origin'][0]
yy = np.arange(float(info['grid'][1]))/info['grid'][1]*info['size'][1]+info['origin'][1]
zz = np.arange(float(info['grid'][2]))/info['grid'][2]*info['size'][2]+info['origin'][2]
#--- read microstructure information --------------------------------------------------------------
i = 0
outputAlive = True
while outputAlive and theTable.data_read():
items = theTable.data
if len(items) > 2:
if items[1].lower() == 'of': items = [int(items[2])]*int(items[0])
elif items[1].lower() == 'to': items = xrange(int(items[0]),1+int(items[2]))
else: items = map(int,items)
else: items = map(int,items)
for item in items:
theTable.data = [xx[ i%info['grid'][0]],
yy[(i/info['grid'][0])%info['grid'][1]],
zz[ i/info['grid'][0]/info['grid'][1]],
item]
i += 1
outputAlive = theTable.data_write() # output processed line
if not outputAlive: break
# ------------------------------------------ finalize output ---------------------------------------
theTable.output_flush() # just in case of buffered ASCII table
if file['name'] != 'STDIN':
file['input'].close() # close input ASCII table
file['output'].close() # close output ASCII table