#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import textdistance


#
# Name matching via textual similarity search
#     + Returns two (normalised) distance measures: the Jaro-Winkler Distance and the regular Levenshtein Distance
#
def match_name_textualsim(name1, name2):
    jaro_winkler = textdistance.jaro_winkler.normalized_similarity(name1, name2)
    levenshtein = textdistance.levenshtein.normalized_similarity(name1, name2)

    return jaro_winkler, levenshtein


#
# Name matching via phonetic matching algorithm (using the normalised Match Rating Approach)
#
def match_name_mra(name1, name2):
    return textdistance.mra.normalized_similarity(name1, name2)