#
# Copyright 2006-2009 Zuza Software Foundation
#
# This file is part of the Translate Toolkit.
#
# 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 2 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/>.

"""A class that does terminology matching."""


class TerminologyComparer:
    def __init__(self, max_len=500):
        self.match_info = {}
        self.MAX_LEN = max_len

    def similarity(self, text, term, stoppercentage=40):
        """Returns the match quality of ``term`` in the ``text``."""
        # We could segment the words, but mostly it will give less ideal
        # results, since we'll miss plurals, etc. Then we also can't search for
        # multiword terms, such as "Free Software". Ideally we should use a
        # stemmer, like the Porter stemmer.

        # So we just see if the word occurs anywhere. This is not perfect since
        # we might get more than we bargained for. The term "form" will be found
        # in the word "format", for example. A word like "at" will trigger too
        # many false positives.

        text = text[: self.MAX_LEN]

        pos = text.find(term)
        if pos >= 0:
            self.match_info[term] = {"pos": pos}
            return 100
        return 0
