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#!/usr/bin/python

## Canberra tool

## This code is written by Davide Albanese, <albanese@fbk.eu>.
## (C) 2008 Fondazione Bruno Kessler - Via Santa Croce 77, 38100 Trento, ITALY.

## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.

## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
## GNU General Public License for more details.

## You should have received a copy of the GNU General Public License
## along with this program.  If not, see <http://www.gnu.org/licenses/>.


from numpy import *
from optparse import OptionParser
import csv
from mlpy import *

# Command line parsing
parser = OptionParser()
parser.add_option("-f", action = "store", type = "string",
                  dest = "flname", help = "feature-lists file - required")
parser.add_option("-s", action = "store", type = "string",
                  dest = "psname", help = "positions-steps file - required")
parser.add_option("-o", action = "store", type = "string",
                  dest = "oname", help = "output file", default = "canberra.txt")

(options, args) = parser.parse_args()
if not options.flname:
    parser.error("option -f (feature-lists file) is required")
if not options.psname:
    parser.error("option -s (positions-steps file) is required")


# Import feature-lists file
try:
    fl_str = array([[x for x in line.split(None)] for line in open(options.flname)])
except ValueError:
    raise ValueError("'%s' is not a valid feature-lists file" % options.flname)


# Import position-steps file
ps_str = open(options.psname).read()
try:
    ps = [int(x) for x in ps_str.split(None)]
except ValueError:
    raise ValueError("'%s' is not a valid position-steps file" % options.psname)

# Check position steps
ps = unique(ps) # Sort and unique
ps = ps[(ps > 0) & (ps <= fl_str.shape[1])] 



# Link feature-name to a feature-id (from first list)
fid = {}
for id, n in enumerate(fl_str[0]):
    fid[n] = id

# Build numeric feature-lists
fl_num = empty((fl_str.shape[0], fl_str.shape[1]), dtype = int)
for i in range(fl_str.shape[0]):
    for j in range(fl_str.shape[1]):
        fl_num[i, j] = fid[fl_str[i, j]]

# From feature-lists to position-lists
pl_num = fl_num.argsort()

# Write to file
ofile = open(options.oname, "w")
ofile_writer = csv.writer(ofile, delimiter='\t', lineterminator='\n')
for p in ps:

    distance, idx1, idx2, dd = canberra(pl_num, p, dist=True)    
    ofile_writer.writerow([p, distance])

    tmpfile = open("dist_%s.txt" % p, "w")
    tmpfile_writer = csv.writer(tmpfile, delimiter='\t', lineterminator='\n')
    for r in zip(idx1, idx2, dd):
         ofile_writer.writerow(r)
    tmpfile.close()
    
ofile.close()