#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-

import os,re,sys,math,numpy,string
import damask
from collections import defaultdict
from optparse import OptionParser, Option

scriptID = '$Id$'
scriptName = scriptID.split()[1]

# -----------------------------
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 = """
Uniformly scale values of scalar, vector, or tensor columns by given factor.

""" + string.replace(scriptID,'\n','\\n')
)

parser.add_option('-v','--vector',  dest = 'vector', action = 'extend', type = 'string',
                                    help = 'column heading of vector to scale',
                                    metavar = '<label(s)>')
parser.add_option('-t','--tensor',  dest = 'tensor', action = 'extend', type = 'string',
                                    help = 'column heading of tensor to scale',
                                    metavar = '<label(s)>')
parser.add_option('-r', '--rotation', dest = 'rotation', type = 'float', nargs = 4,
                                    help = 'angle and axis to rotate data')
parser.add_option('-d', '--degrees',  dest = 'degrees', action = 'store_true',
                                    help = 'angles are given in degrees [%default]')

parser.set_defaults(vector = [])
parser.set_defaults(tensor = [])
parser.set_defaults(rotation = [0.,1.,1.,1.])       # no rotation about 1,1,1
parser.set_defaults(degrees = False)

(options,filenames) = parser.parse_args()

datainfo = {                                                               # list of requested labels per datatype
             'vector':     {'len':3,
                            'label':[]},
             'tensor':     {'len':9,
                            'label':[]},
           }


if options.vector != []: datainfo['vector']['label'] += options.vector
if options.tensor != []: datainfo['tensor']['label'] += options.tensor

toRadians = math.pi/180.0 if options.degrees else 1.0                                                                               # rescale degrees to radians
r = damask.Quaternion().fromAngleAxis(toRadians*options.rotation[0],options.rotation[1:])
R = r.asMatrix()

# ------------------------------------------ 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(string.replace(scriptName,'\n','\\n') + \
                    '\t' + ' '.join(sys.argv[1:]))

# --------------- figure out columns to process ---------------------------------------
  active = defaultdict(list)
  column = defaultdict(dict)

  for datatype,info in datainfo.items():
    for label in info['label']:
      foundIt = False
      for key in ['1_'+label,label]:
        if key in table.labels:
          foundIt = True
          active[datatype].append(label)
          column[datatype][label] = table.labels.index(key)                   # remember columns of requested data
      if not foundIt:
        file['croak'].write('column %s not found...\n'%label)
       
# ------------------------------------------ assemble header ---------------------------------------

  table.head_write()

# ------------------------------------------ process data ---------------------------------------

  outputAlive = True
  while outputAlive and table.data_read():                                  # read next data line of ASCII table

    datatype = 'vector'
    for label in active[datatype] if datatype in active else []:            # loop over all requested labels
      table.data[column[datatype][label]:column[datatype][label]+datainfo[datatype]['len']] = \
        r * numpy.array(map(float,
                            table.data[column[datatype][label]:\
                                       column[datatype][label]+datainfo[datatype]['len']]))

    datatype = 'tensor'
    for label in active[datatype] if datatype in active else []:            # loop over all requested labels
      table.data[column[datatype][label]:column[datatype][label]+column[datatype]['len']] = \
        (numpy.array(map(float,
                         table.data[column[datatype][label]:\
                                    column[datatype][label]+column[datatype]['len']])).reshape(numpy.sqrt(datainfo[datatype]['len']),\
                                                                                               numpy.sqrt(datainfo[datatype]['len'])) * R).reshape(datainfo[datatype]['len'])
    
    outputAlive = table.data_write()                                        # output processed line

# ------------------------------------------ output result ---------------------------------------  

  outputAlive and table.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
    os.rename(file['name']+'_tmp',file['name'])                             # overwrite old one with tmp new