// wink-nlp-utils
// NLP Functions for amplifying negations, managing elisions,
// creating ngrams, stems, phonetic codes to tokens and more.
//
// Copyright (C) GRAYPE Systems Private Limited
//
// This file is part of “wink-nlp-utils”.
//
// Permission is hereby granted, free of charge, to any person obtaining a
// copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
// THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
// DEALINGS IN THE SOFTWARE.
//
var rgx = require( './util_regexes.js' );
var ncrgx = require( './name_cleaner_regexes.js' );
// ## string
// ### extractPersonsName
/**
*
* Attempts to extract person's name from input string.
* It assmues the following name format:<br/>
* `[<salutations>] <name part as FN [MN] [LN]> [<degrees>]`<br/>
* Entities in square brackets are optional. Note, it is not a
* named entity detection mechanism.
*
* @alias string#extractPersonsName
* @param {string} str the input string.
* @return {string} extracted name.
* @example
* extractPersonsName( 'Dr. Sarah Connor M. Tech., PhD. - AI' );
* // -> 'Sarah Connor'
*/
var extractPersonsName = function ( str ) {
// Remove Degrees by making the list of indexes of each degree and subsequently
// finding the minimum and slicing from there!
var indexes = ncrgx.degrees.map( function ( r ) {
var m = r.exec( str );
return ( m ) ? m.index : 999999;
} );
var sp = Math.min.apply( null, indexes );
// Generate an Array of Every Elelemnt of Name (e.g. title, first name,
// sir name, honours, etc)
var aeen = str.slice( 0, sp ).replace( rgx.notAlpha, ' ').replace( rgx.spaces, ' ').trim().split(' ');
// Remove titles from the beginning.
while ( aeen.length && ncrgx.titles.test( aeen[0] ) ) aeen.shift();
return aeen.join(' ');
}; // extractPersonsName()
module.exports = extractPersonsName;
