DAMASK_EICMD/processing/post/fillTable.py

144 lines
6.9 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,re,sys
import math # noqa
import numpy as np
from optparse import OptionParser
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
def unravel(item):
if hasattr(item,'__contains__'): return ' '.join(map(unravel,item))
else: return str(item)
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
Update existing value(s) to expression(s) respecting condition.
Examples:
Replace the 2nd value of column x by value "z - y" --> fillTable -l x -c "#_row_#==2" -f "#z#-#y#"
""", version = scriptID)
parser.add_option('-l','--label',
dest = 'labels',
action = 'extend', metavar = '<string LIST>',
help = '(list) of columns to be filled with formula(e)')
parser.add_option('-f','--formula',
dest = 'formulae',
action = 'extend', metavar = '<string LIST>',
help = '(list of) formulae corresponding to labels')
parser.add_option('-c','--condition',
dest = 'condition', metavar='string',
help = 'condition to filter rows')
parser.set_defaults(condition = '',
)
(options,filenames) = parser.parse_args()
if options.labels is None or options.formulae is None:
parser.error('no formulae specified.')
if len(options.labels) != len(options.formulae):
parser.error('number of labels ({}) and formulae ({}) do not match.'.format(len(options.labels),len(options.formulae)))
for i in xrange(len(options.formulae)):
options.formulae[i] = options.formulae[i].replace(';',',')
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False)
except: continue
damask.util.report(scriptName,name)
# ------------------------------------------ assemble info -----------------------------------------
table.head_read()
# ------------------------------------------ Evaluate condition ---------------------------------------
specials = { \
'_row_': 0,
}
interpolator = []
condition = options.condition # copy per file, since might be altered inline
breaker = False
for position,operand in enumerate(set(re.findall(r'#(([s]#)?(.+?))#',condition))): # find three groups
condition = condition.replace('#'+operand[0]+'#',
{ '': '{%i}'%position,
's#':'"{%i}"'%position}[operand[1]])
if operand[2] in specials: # special label
interpolator += ['specials["%s"]'%operand[2]]
else:
try:
interpolator += ['%s(table.data[%i])'%({ '':'float',
's#':'str'}[operand[1]],
table.labels.index(operand[2]))] # ccould be generalized to indexrange as array lookup
except:
damask.util.croak('column %s not found.'%operand[2])
breaker = True
if breaker: continue # found mistake in condition evaluation --> next file
evaluator_condition = "'" + condition + "'.format(" + ','.join(interpolator) + ")"
#----------------------------------- Formula -------------------------------------------------------
evaluator = {}
brokenFormula = {}
for label,formula in zip(options.labels,options.formulae):
for column in re.findall(r'#(.+?)#',formula): # loop over column labels in formula
idx = table.label_index(column)
dim = table.label_dimension(column)
if column in specials:
replacement = 'specials["{}"]'.format(column)
elif dim == 1: # scalar input
replacement = 'float(table.data[{}])'.format(idx) # take float value of data column
elif dim > 1: # multidimensional input (vector, tensor, etc.)
replacement = 'np.array(table.data[{}:{}],dtype=float)'.format(idx,idx+dim) # use (flat) array representation
else:
damask.util.croak('column {} not found...'.format(column))
brokenFormula[label] = True
break
formula = formula.replace('#'+column+'#',replacement)
if label not in brokenFormula:
evaluator[label] = formula
# ------------------------------------------ assemble header ---------------------------------------
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:])) # read ASCII header info
table.labels # update with label set
table.head_write()
# ------------------------------------------ process data ------------------------------------------
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
specials['_row_'] += 1
if condition == '' or eval(eval(evaluator_condition)): # test row for condition
for label in [x for x in options.labels if x not in set(brokenFormula)]:
indices = table.label_indexrange(label) # affected columns
probe = np.array(eval(evaluator[label])) # get formula result (scalar, array, etc.)
container = np.tile(probe,np.ceil(float(len(indices))/probe.size))[:len(indices)] # spread formula result into given number of columns
for i,ind in enumerate(indices): # copy one by one as table.data is NOT a numpy array
table.data[ind] = container[i]
outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization -----------------------------------
table.close() # close ASCII tables