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#! /usr/bin/env python
# -*- coding: utf-8 -*-
# Ngram
# Copyright 2009 Jinesh K J <jinesh.k@gmail.com>
# Copyright 2009 Swathantra Malayalam Computing <smc-discuss@googlegroups.com>
# http://www.smc.org.in
#
# 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 Library General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
#
# If you find any bugs or have any suggestions email: jinesh.k@gmail.com or smc-discuss@googlegroups.com
# URL: http://www.smc.org.in
import pydot
import codecs
import pickle
import sys
from visualizer import NGramVisualizer
def printGraph(corpus,start_word):
ngv=NGramVisualizer ()
graph_dict=pickle.load(open(corpus))
graph=pydot.Dot()
uni_start_word = start_word.decode("utf-8")
# print start_word
# print uni_start_word
graph=ngv.generate_graph(graph_dict, graph,uni_start_word)
print graph.to_string().encode("utf-8")
if __name__ == "__main__":
"""
python sample_ngram.py <input file> <corpus path> 1
this will generate the corpus for the given input file, if corpus specified at
corpus path is empty. Else it will recreate the corpus with the additional data.
python sample_ngram.py <corpus path> <start word> 2
this will generate the graph for the given start word in the given corpus at corpus path.
This is just a crude attempt, a lot more improvement is to be done.
"""
if sys.argv[3] == "1":
ngv=NGramVisualizer ()
ngv.loadCorpus(sys.argv[1],sys.argv[2])
elif sys.argv[3] == "2":
printGraph(sys.argv[1],sys.argv[2])
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