<?php
/* -*- tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
# ***** BEGIN LICENSE BLOCK *****
# This file is part of Plume Framework, a simple PHP Application Framework.
# Copyright (C) 2001-2007 Loic d'Anterroches and contributors.
#
# Plume Framework is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation; either version 2.1 of the License, or
# (at your option) any later version.
#
# Plume Framework 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
#
# ***** END LICENSE BLOCK ***** */
/**
* Class implementing a small search engine.
*
* Ideal for a small website with up to 100,000 documents.
*/
class Pluf_Search
{
/**
* Search.
*
* Returns an array of array with model_class, model_id and
* score. The list is already sorted by score descending.
*
* You can then filter the list as you wish with another set of
* weights.
*
* @param string Query string.
* @return array Results.
*/
public static function search($query, $stemmer='Pluf_Text_Stemmer_Porter')
{
$query = Pluf_Text::cleanString(html_entity_decode($query, ENT_QUOTES, 'UTF-8'));
$words = Pluf_Text::tokenize($query);
if ($stemmer != null) {
$words = self::stem($words, $stemmer);
}
$words_flat = array();
foreach ($words as $word=>$c) {
$words_flat[] = $word;
}
$word_ids = self::getWordIds($words_flat);
if (in_array(null, $word_ids)) {
return array();
}
return self::searchDocuments($word_ids);
}
/**
* Stem the words with the given stemmer.
*/
public static function stem($words, $stemmer)
{
$nwords = array();
foreach ($words as $word => $occ) {
$word = call_user_func(array($stemmer, 'stem'), $word);
if (isset($nwords[$word])) {
$nwords[$word] += $occ;
} else {
$nwords[$word] = $occ;
}
}
return $nwords;
}
/**
* Search documents.
*
* Only the total of the ponderated occurences is used to sort the
* results.
*
* @param array Ids.
* @return array Sorted by score, returns model_class, model_id and score.
*/
public static function searchDocuments($wids)
{
$db =& Pluf::db();
$gocc = new Pluf_Search_Occ();
$where = array();
foreach ($wids as $id) {
$where[] = $db->qn('word').'='.(int)$id;
}
$select = 'SELECT model_class, model_id, SUM(pondocc) AS score FROM '.$gocc->getSqlTable().' WHERE '.implode(' OR ', $where).' GROUP BY model_class, model_id HAVING COUNT(*)='.count($wids).' ORDER BY score DESC';
return $db->select($select);
}
/**
* Get the id of each word.
*
* @param array Words
* @return array Ids, null if no matching word.
*/
public static function getWordIds($words)
{
$ids = array();
$gword = new Pluf_Search_Word();
foreach ($words as $word) {
$sql = new Pluf_SQL('word=%s', array($word));
$l = $gword->getList(array('filter' => $sql->gen()));
if ($l->count() > 0) {
$ids[] = $l[0]->id;
} else {
$ids[] = null;
}
}
return $ids;
}
/**
* Index a document.
*
* The document must provide a method _toIndex() returning the
* document as a string for indexation. The string must be clean
* and will simply be tokenized by Pluf_Text::tokenize().
*
* So a recommended way to clean it at the end is to remove all
* the HTML tags and then run the following on it:
*
* return Pluf_Text::cleanString(html_entity_decode($string,
* ENT_QUOTES, 'UTF-8'));
*
* Indexing is resource intensive so it is recommanded to run the
* indexing in an asynchronous way. When you save a resource to be
* indexed, just write a log "need to index resource x" and then
* you can every few minutes index the resources. Nobody care if
* your index is not perfectly fresh, but your end users care if
* it takes 0.6s to get back the page instead of 0.1s.
*
* Take 500 average documents, index them while counting the total
* time it takes to index. Divide by 500 and if the result is more
* than 0.1s, use a log/queue.
*
* FIXME: Concurrency problem if you index at the same time the same doc.
*
* @param Pluf_Model Document to index.
* @param Stemmer used. ('Pluf_Text_Stemmer_Porter')
* @return array Statistics.
*/
public static function index($doc, $stemmer='Pluf_Text_Stemmer_Porter')
{
$words = Pluf_Text::tokenize($doc->_toIndex());
if ($stemmer != null) {
$words = self::stem($words, $stemmer);
}
// Get the total number of words.
$total = 0.0;
$words_flat = array();
foreach ($words as $word => $occ) {
$total += (float) $occ;
$words_flat[] = $word;
}
// Drop the last indexation.
$gocc = new Pluf_Search_Occ();
$sql = new Pluf_SQL('DELETE FROM '.$gocc->getSqlTable().' WHERE model_class=%s AND model_id=%s', array($doc->_model, $doc->id));
$db =& Pluf::db();
$db->execute($sql->gen());
// Get the ids for each word.
$ids = self::getWordIds($words_flat);
// Insert a new word for the missing words and add the occ.
$n = count($ids);
$new_words = 0;
$done = array();
for ($i=0;$i<$n;$i++) {
if ($ids[$i] === null) {
$word = new Pluf_Search_Word();
$word->word = $words_flat[$i];
try {
$word->create();
$ids[$i] = $word->id;
} catch (Exception $e) {
// most likely concurrent addition of a word, try
// to read it.
$_ids = self::getWordIds(array($words_flat[$i]));
if ($_ids[0] !== null) {
// if we miss it here, just forget about it
$ids[$i] = $_ids[0];
}
}
$new_words++;
}
if (isset($done[$ids[$i]])) {
continue;
}
$done[$ids[$i]] = true;
$occ = new Pluf_Search_Occ();
$occ->word = new Pluf_Search_Word($ids[$i]);
$occ->model_class = $doc->_model;
$occ->model_id = $doc->id;
$occ->occ = $words[$words_flat[$i]];
$occ->pondocc = $words[$words_flat[$i]]/$total;
$occ->create();
}
// update the stats
$sql = new Pluf_SQL('model_class=%s AND model_id=%s',
array($doc->_model, $doc->id));
$last_index = Pluf::factory('Pluf_Search_Stats')->getList(array('filter' => $sql->gen()));
if ($last_index->count() == 0) {
$stats = new Pluf_Search_Stats();
$stats->model_class = $doc->_model;
$stats->model_id = $doc->id;
$stats->indexations = 1;
$stats->create();
} else {
$last_index[0]->indexations += 1;
$last_index[0]->update();
}
return array('total' => $total, 'new' => $new_words, 'unique'=>$n);
}
}