#!/usr/bin/python

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

# -----------------------------
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)

def location(idx,res):
  return ( idx  % res[0], \
         (idx // res[0]) % res[1], \
         (idx // res[0] // res[1]) % res[2] )

def index(location,res):
  return ( location[0] % res[0]                   + \
         (location[1] % res[1]) * res[0]          + \
         (location[2] % res[2]) * res[0] * res[1]   )

def prefixMultiply(what,len):
  return {True: ['%i_%s'%(i+1,what) for i in range(len)],
         False:[what]}[len>1]


# --------------------------------------------------------------------
#                                MAIN
# --------------------------------------------------------------------

parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """
Add column(s) containing curl of requested column(s).
Operates on periodic ordered three-dimensional data sets.
Deals with both vector- and tensor-valued fields.

""" + string.replace('$Id$','\n','\\n')
)


parser.add_option('-v','--vector',      dest='vector', action='extend', type='string', \
                                        help='heading of columns containing vector field values')
parser.add_option('-t','--tensor',      dest='tensor', action='extend', type='string', \
                                        help='heading of columns containing tensor field values')
parser.add_option('-d','--dimension',   dest='dim', type='float', nargs=3, \
                                        help='physical dimension of data set in x (fast) y z (slow) [%default]')
parser.add_option('-r','--resolution',  dest='res', type='int', nargs=3, \
                                        help='resolution of data set in x (fast) y z (slow)')

parser.set_defaults(vector = [])
parser.set_defaults(tensor = [])
parser.set_defaults(dim = [])
parser.set_defaults(skip = [0,0,0])

(options,filenames) = parser.parse_args()

if len(options.vector) + len(options.tensor) == 0:
  parser.error('no data column specified...')
if len(options.dim) < 3:
  parser.error('improper dimension specification...')
if not options.res or len(options.res) < 3:
  parser.error('improper resolution specification...')

resSkip = map(lambda (a,b): a+b,zip(options.res,options.skip))
datainfo = {                                                               # list of requested labels per datatype
             'vector':     {'len':3,
                            'label':[]},
             'tensor':     {'len':9,
                            'label':[]},
           }

if options.vector != None:    datainfo['vector']['label'] += options.vector
if options.tensor != None:    datainfo['tensor']['label'] += options.tensor

# ------------------------------------------ setup file handles ---------------------------------------  

files = []
if filenames == []:
  files.append({'name':'STDIN', 'handle':sys.stdin})
else:
  for name in filenames:
    if os.path.exists(name):
      files.append({'name':name, 'handle':open(name)})

# ------------------------------------------ loop over input files ---------------------------------------  

for file in files:
  print file['name']

  content = file['handle'].readlines()
  file['handle'].close()
  
  #  get labels by either read the first row, or - if keyword header is present - the last line of the header

  headerlines = 1
  m = re.search('(\d+)\s*head', content[0].lower())
  if m:
    headerlines = int(m.group(1))
  passOn  = content[1:headerlines]
  headers = content[headerlines].split()
  data    = content[headerlines+1:]
    
  regexp = re.compile('1_\d+_')
  for i,l in enumerate(headers):
    if regexp.match(l):
      headers[i] = l[2:]

  active = {}
  column = {}
  values = {}
  curl_field ={}
  head = []

  for datatype,info in datainfo.items():
    for label in info['label']:
      key = {True :'1_%s',
             False:'%s'   }[info['len']>1]%label
      if key not in headers:
        print 'column %s not found...'%key
      else:
        if datatype not in active: active[datatype] = []
        if datatype not in column: column[datatype] = {}
        if datatype not in values: values[datatype] = {}
        if datatype not in curl_field: curl_field[datatype] = {}
        active[datatype].append(label)
        column[datatype][label] = headers.index(key)
        values[datatype][label] = numpy.array([0.0 for i in xrange(datainfo[datatype]['len']*\
                                          options.res[0]*options.res[1]*options.res[2])]).\
                                          reshape((options.res[0],options.res[1],options.res[2],\
							     3,datainfo[datatype]['len']//3))

        head +=	prefixMultiply('curlfft(%s)'%(label),datainfo[datatype]['len'])
        
# ------------------------------------------ assemble header ---------------------------------------  

  output = '%i\theader'%(headerlines+1) + '\n' + \
           ''.join(passOn)                 + \
           string.replace('$Id$','\n','\\n')+ '\t' + \
           ' '.join(sys.argv[1:]) + '\n' + \
           '\t'.join(headers + head) + '\n'                              # build extended header

# ------------------------------------------ read value field ---------------------------------------  

  idx = 0
  for line in data:
    items = line.split()[:len(headers)]
    if len(items) < len(headers):                             # skip too short lines (probably comments or invalid)
      continue
    locSkip = location(idx,resSkip)
    if (    locSkip[0] < options.res[0]
        and locSkip[1] < options.res[1]
        and locSkip[2] < options.res[2] ):                    # only take values that are not periodic images
      for datatype,labels in active.items():
        for label in labels:
          values[datatype][label][locSkip[0]][locSkip[1]][locSkip[2]]\
              = numpy.reshape(items[column[datatype][label]:
                                    column[datatype][label]+datainfo[datatype]['len']],(3,datainfo[datatype]['len']//3))
    idx += 1
  else:
    for datatype,labels in active.items():
      for label in labels:
        if label not in curl_field[datatype]: curl_field[datatype][label] = {}
        curl_field[datatype][label] = numpy.array([0.0 for i in range((datainfo[datatype]['len'])*\
                                                                                  options.res[0]*options.res[1]*options.res[2])]).\
                                                                                  reshape(options.res[0],options.res[1],options.res[2],\
                                                                                  3,datainfo[datatype]['len']//3)
        curl_field[datatype][label] = damask.core.math.curl_fft(options.res,options.dim,datainfo[datatype]['len']//3,values[datatype][label])
    idx = 0
    for line in data:
      items = line.split()[:len(headers)]
      if len(items) < len(headers):
        continue
    
      output += '\t'.join(items)
      
      for datatype,labels in active.items():
        for label in labels:
          for i in range(3):    
            for j in range(datainfo[datatype]['len']//3):    
              output += '\t%f'%curl_field[datatype][label][location(idx,options.res)[0]][location(idx,options.res)[1]][location(idx,options.res)[2]][i][j]
      output += '\n'
      idx += 1
 
  
# ------------------------------------------ output result ---------------------------------------  

  if file['name'] == 'STDIN':
    print output
  else:
    file['handle'] = open(file['name']+'_tmp','w')
    try:
      file['handle'].write(output)
      file['handle'].close()
      os.rename(file['name']+'_tmp',file['name'])
    except:
      print 'error during writing',file['name']+'_tmp'