Added OpenDocument MIME types and extensions; make sql_report page show total time taken for SQL queries
<?php
/*
* Enano - an open-source CMS capable of wiki functions, Drupal-like sidebar blocks, and everything in between
* Version 1.1.1
* Copyright (C) 2006-2007 Dan Fuhry
* search.php - algorithm used to search pages
*
* This program is Free Software; you can redistribute 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 details.
*/
/**
* Implementation of array_merge() that preserves key names. $arr2 takes precedence over $arr1.
* @param array $arr1
* @param array $arr2
* @return array
*/
function enano_safe_array_merge($arr1, $arr2)
{
$arr3 = $arr1;
foreach($arr2 as $k => $v)
{
$arr3[$k] = $v;
}
return $arr3;
}
/**
* In Enano versions prior to 1.0.2, this class provided a search function that was keyword-based and allowed boolean searches. It was
* cut from Coblynau and replaced with perform_search(), later in this file, because of speed issues. Now mostly deprecated. The only
* thing remaining is the buildIndex function, which is still used by the path manager and the new search framework.
*
* @package Enano
* @subpackage Page management frontend
* @license GNU General Public License <http://enanocms.org/Special:GNU_General_Public_License>
*/
class Searcher
{
var $results;
var $index;
var $warnings;
var $match_case = false;
function buildIndex($texts)
{
$this->index = Array();
$stopwords = get_stopwords();
foreach($texts as $i => $l)
{
$seed = md5(microtime(true) . mt_rand());
$texts[$i] = str_replace("'", 'xxxApoS'.$seed.'xxx', $texts[$i]);
$texts[$i] = preg_replace('#([\W_]+)#i', ' ', $texts[$i]);
$texts[$i] = preg_replace('#([ ]+?)#', ' ', $texts[$i]);
$texts[$i] = preg_replace('#([\']*){2,}#s', '', $texts[$i]);
$texts[$i] = str_replace('xxxApoS'.$seed.'xxx', "'", $texts[$i]);
$l = $texts[$i];
$words = Array();
$good_chars = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789\' ';
$good_chars = enano_str_split($good_chars, 1);
$letters = enano_str_split($l, 1);
foreach($letters as $x => $t)
{
if(!in_array($t, $good_chars))
unset($letters[$x]);
}
$letters = implode('', $letters);
$words = explode(' ', $letters);
foreach($words as $c => $w)
{
if(strlen($w) < 2 || in_array($w, $stopwords))
unset($words[$c]);
else
$words[$c] = $w;
}
$words = array_values($words);
foreach($words as $c => $w)
{
if(isset($this->index[$w]))
{
if(!in_array($i, $this->index[$w]))
$this->index[$w][] = $i;
}
else
{
$this->index[$w] = Array();
$this->index[$w][] = $i;
}
}
}
foreach($this->index as $k => $v)
{
$this->index[$k] = implode(',', $this->index[$k]);
}
}
}
/**
* Searches the site for the specified string and returns an array with each value being an array filled with the following:
* page_id: string, self-explanatory
* namespace: string, self-explanatory
* page_length: integer, the length of the full page in bytes
* page_text: string, the contents of the page (trimmed to ~150 bytes if necessary)
* score: numerical relevance score, 1-100, rounded to 2 digits and calculated based on which terms were present and which were not
* @param string Search query
* @param string Will be filled with any warnings encountered whilst parsing the query
* @param bool Case sensitivity - defaults to false
* @return array
*/
function perform_search($query, &$warnings, $case_sensitive = false)
{
global $db, $session, $paths, $template, $plugins; // Common objects
$warnings = array();
$query = parse_search_query($query, $warnings);
// Segregate search terms containing spaces
$query_phrase = array(
'any' => array(),
'req' => array()
);
foreach ( $query['any'] as $i => $_ )
{
$term =& $query['any'][$i];
$term = trim($term);
// the indexer only indexes words a-z with apostrophes
if ( preg_match('/[^A-Za-z\']/', $term) )
{
$query_phrase['any'][] = $term;
unset($term, $query['any'][$i]);
}
}
unset($term);
$query['any'] = array_values($query['any']);
foreach ( $query['req'] as $i => $_ )
{
$term =& $query['req'][$i];
$term = trim($term);
if ( preg_match('/[^A-Za-z\']/', $term) )
{
$query_phrase['req'][] = $term;
unset($term, $query['req'][$i]);
}
}
unset($term);
$query['req'] = array_values($query['req']);
$results = array();
$scores = array();
$ns_list = '(' . implode('|', array_keys($paths->nslist)) . ')';
// FIXME: Update to use FULLTEXT algo when available.
// Build an SQL query to load from the index table
if ( count($query['any']) < 1 && count($query['req']) < 1 && count($query_phrase['any']) < 1 && count($query_phrase['req']) < 1 )
{
// This is both because of technical restrictions and devastation that would occur on shared servers/large sites.
$warnings[] = 'You need to have at least one keyword in your search query. Searching only for pages not containing a term is not allowed.';
return array();
}
//
// STAGE 1
// Get all possible result pages from the search index. Tally which pages have the most words, and later sort them by boolean relevance
//
// Skip this if no indexable words are included
if ( count($query['any']) > 0 || count($query['req']) > 0 )
{
$where_any = array();
foreach ( $query['any'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_any[] = $term;
}
foreach ( $query['req'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_any[] = $term;
}
$col_word = ( $case_sensitive ) ? 'word' : 'lcase(word)';
$where_any = ( count($where_any) > 0 ) ? '( ' . $col_word . ' = \'' . implode('\' OR ' . $col_word . ' = \'', $where_any) . '\' )' : '';
// generate query
// using a GROUP BY here ensures that the same word with a different case isn't counted as 2 words - it's all melted back
// into one later in the processing stages
// $group_by = ( $case_sensitive ) ? '' : ' GROUP BY lcase(word);';
$sql = "SELECT word, page_names FROM " . table_prefix . "search_index WHERE {$where_any}";
if ( !($q = $db->sql_unbuffered_query($sql)) )
$db->_die('Error is in perform_search(), includes/search.php, query 1');
$word_tracking = array();
if ( $row = $db->fetchrow() )
{
do
{
// get page list
$pages =& $row['page_names'];
if ( strpos($pages, ',') )
{
// the term occurs in more than one page
// Find page IDs that contain commas
// This should never happen because commas are escaped by sanitize_page_id(). Nevertheless for compatibility with older
// databases, and to alleviate the concerns of hackers, we'll accommodate for page IDs with commas here by checking for
// IDs that don't match the pattern for stringified page ID + namespace. If it doesn't match, that means it's a continuation
// of the previous ID and should be concatenated to the previous entry.
$matches = explode(',', $pages);
$prev = false;
foreach ( $matches as $i => $_ )
{
$match =& $matches[$i];
if ( !preg_match("/^ns=$ns_list;pid=(.+)$/", $match) && $prev )
{
$matches[$prev] .= ',' . $match;
unset($match, $matches[$i]);
continue;
}
$prev = $i;
}
unset($match);
// Iterate through each of the results, assigning scores based on how many times the page has shown up.
// This works because this phase of the search is strongly word-based not page-based. If a page shows up
// multiple times while fetching the result rows from the search_index table, it simply means that page
// contains more than one of the terms the user searched for.
foreach ( $matches as $match )
{
$word_cs = (( $case_sensitive ) ? $row['word'] : strtolower($row['word']));
if ( isset($word_tracking[$match]) && in_array($word_cs, $word_tracking[$match]) )
{
continue;
}
if ( isset($word_tracking[$match]) )
{
if ( isset($word_tracking[$match]) )
{
$word_tracking[$match][] = ($word_cs);
}
}
else
{
$word_tracking[$match] = array($word_cs);
}
$inc = 1;
// Is this search term present in the page's title? If so, give extra points
preg_match("/^ns=$ns_list;pid=(.+)$/", $match, $piecesparts);
$pathskey = $paths->nslist[ $piecesparts[1] ] . sanitize_page_id($piecesparts[2]);
if ( isset($paths->pages[$pathskey]) )
{
$test_func = ( $case_sensitive ) ? 'strstr' : 'stristr';
if ( $test_func($paths->pages[$pathskey]['name'], $row['word']) || $test_func($paths->pages[$pathskey]['urlname_nons'], $row['word']) )
{
$inc = 1.5;
}
}
if ( isset($scores[$match]) )
{
$scores[$match] = $scores[$match] + $inc;
}
else
{
$scores[$match] = $inc;
}
}
}
else
{
// the term only occurs in one page
$word_cs = (( $case_sensitive ) ? $row['word'] : strtolower($row['word']));
if ( isset($word_tracking[$pages]) && in_array($word_cs, $word_tracking[$pages]) )
{
continue;
}
if ( isset($word_tracking[$pages]) )
{
if ( isset($word_tracking[$pages]) )
{
$word_tracking[$pages][] = ($word_cs);
}
}
else
{
$word_tracking[$pages] = array($word_cs);
}
$inc = 1;
// Is this search term present in the page's title? If so, give extra points
preg_match("/^ns=$ns_list;pid=(.+)$/", $pages, $piecesparts);
$pathskey = $paths->nslist[ $piecesparts[1] ] . sanitize_page_id($piecesparts[2]);
if ( isset($paths->pages[$pathskey]) )
{
$test_func = ( $case_sensitive ) ? 'strstr' : 'stristr';
if ( $test_func($paths->pages[$pathskey]['name'], $row['word']) || $test_func($paths->pages[$pathskey]['urlname_nons'], $row['word']) )
{
$inc = 1.5;
}
}
if ( isset($scores[$pages]) )
{
$scores[$pages] = $scores[$pages] + $inc;
}
else
{
$scores[$pages] = $inc;
}
}
}
while ( $row = $db->fetchrow() );
}
$db->free_result();
//
// STAGE 2: FIRST ELIMINATION ROUND
// Iterate through the list of required terms. If a given page is not found to have the required term, eliminate it
//
foreach ( $query['req'] as $term )
{
foreach ( $word_tracking as $i => $page )
{
if ( !in_array($term, $page) )
{
unset($word_tracking[$i], $scores[$i]);
}
}
}
}
//
// STAGE 3: PHRASE SEARCHING
// Use LIKE to find pages with specified phrases. We can do a super-picky single query without another elimination round because
// at this stage we can search the full page_text column instead of relying on a word list.
//
// We can skip this stage if none of these special terms apply
$text_col = ( $case_sensitive ) ? 'page_text' : 'lcase(page_text)';
$name_col = ( $case_sensitive ) ? 'name' : 'lcase(name)';
$text_col_join = ( $case_sensitive ) ? 't.page_text' : 'lcase(t.page_text)';
$name_col_join = ( $case_sensitive ) ? 'p.name' : 'lcase(p.name)';
if ( count($query_phrase['any']) > 0 || count($query_phrase['req']) > 0 )
{
$where_any = array();
foreach ( $query_phrase['any'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_any[] = "( $text_col LIKE '%$term%' OR $name_col LIKE '%$term%' )";
}
$where_any = ( count($where_any) > 0 ) ? implode(" OR\n ", $where_any) : '';
// Also do required terms, but use AND to ensure that all required terms are included
$where_req = array();
foreach ( $query_phrase['req'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_req[] = "( $text_col LIKE '%$term%' OR $name_col LIKE '%$term%' )";
}
$and_clause = ( $where_any != '' ) ? 'AND ' : '';
$where_req = ( count($where_req) > 0 ) ? "{$and_clause}" . implode(" AND\n ", $where_req) : '';
$sql = 'SELECT CONCAT("ns=",t.namespace,";pid=",t.page_id) AS id, p.name FROM ' . table_prefix . "page_text AS t\n"
. " LEFT JOIN " . table_prefix . "pages AS p\n"
. " ON ( p.urlname = t.page_id AND p.namespace = t.namespace )\n"
. " WHERE\n $where_any\n $where_req;";
if ( !($q = $db->sql_unbuffered_query($sql)) )
$db->_die('Error is in perform_search(), includes/search.php, query 2. Parsed query dump follows:<pre>(indexable) ' . htmlspecialchars(print_r($query, true)) . '(non-indexable) ' . htmlspecialchars(print_r($query_phrase, true)) . '</pre>');
if ( $row = $db->fetchrow() )
{
do
{
$id =& $row['id'];
$inc = 1;
// Is this search term present in the page's title? If so, give extra points
preg_match("/^ns=$ns_list;pid=(.+)$/", $id, $piecesparts);
$pathskey = $paths->nslist[ $piecesparts[1] ] . sanitize_page_id($piecesparts[2]);
if ( isset($paths->pages[$pathskey]) )
{
$test_func = ( $case_sensitive ) ? 'strstr' : 'stristr';
foreach ( array_merge($query_phrase['any'], $query_phrase['req']) as $term )
{
if ( $test_func($paths->pages[$pathskey]['name'], $term) || $test_func($paths->pages[$pathskey]['urlname_nons'], $term) )
{
$inc = 1.5;
break;
}
}
}
if ( isset($scores[$id]) )
{
$scores[$id] = $scores[$id] + $inc;
}
else
{
$scores[$id] = $inc;
}
}
while ( $row = $db->fetchrow() );
}
$db->free_result();
}
//
// STAGE 4 - SELECT PAGE TEXT AND ELIMINATE NOTS
// At this point, we have a complete list of all the possible pages. Now we want to obtain the page text, and within the same query
// eliminate any terms that shouldn't be in there.
//
// Generate master word list for the highlighter
$word_list = array_values(array_merge($query['any'], $query['req'], $query_phrase['any'], $query_phrase['req']));
$text_where = array();
foreach ( $scores as $page_id => $_ )
{
$text_where[] = $db->escape($page_id);
}
$text_where = '( CONCAT("ns=",t.namespace,";pid=",t.page_id) = \'' . implode('\' OR CONCAT("ns=",t.namespace,";pid=",t.page_id) = \'', $text_where) . '\' )';
if ( count($query['not']) > 0 )
$text_where .= ' AND';
$where_not = array();
foreach ( $query['not'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_not[] = $term;
}
$where_not = ( count($where_not) > 0 ) ? "$text_col NOT LIKE '%" . implode("%' AND $text_col NOT LIKE '%", $where_not) . "%'" : '';
$sql = 'SELECT CONCAT("ns=",t.namespace,";pid=",t.page_id) AS id, t.page_id, t.namespace, CHAR_LENGTH(t.page_text) AS page_length, t.page_text, p.name AS page_name FROM ' . table_prefix . "page_text AS t
LEFT JOIN " . table_prefix . "pages AS p
ON ( p.urlname = t.page_id AND p.namespace = t.namespace )
WHERE $text_where $where_not;";
if ( !($q = $db->sql_unbuffered_query($sql)) )
$db->_die('Error is in perform_search(), includes/search.php, query 3');
$page_data = array();
if ( $row = $db->fetchrow() )
{
do
{
$row['page_text'] = htmlspecialchars($row['page_text']);
$row['page_name'] = htmlspecialchars($row['page_name']);
// Highlight results (this is wonderfully automated)
$row['page_text'] = highlight_and_clip_search_result($row['page_text'], $word_list, $case_sensitive);
if ( strlen($row['page_text']) > 250 && !preg_match('/^\.\.\.(.+)\.\.\.$/', $row['page_text']) )
{
$row['page_text'] = substr($row['page_text'], 0, 150) . '...';
}
$row['page_name'] = highlight_search_result($row['page_name'], $word_list, $case_sensitive);
$page_data[$row['id']] = $row;
}
while ( $row = $db->fetchrow() );
}
$db->free_result();
//
// STAGE 5 - SPECIAL PAGE TITLE SEARCH
// Iterate through $paths->pages and check the titles for search terms. Score accordingly.
//
foreach ( $paths->pages as $id => $page )
{
if ( $page['namespace'] != 'Special' )
continue;
if ( !is_int($id) )
continue;
$idstring = 'ns=' . $page['namespace'] . ';pid=' . $page['urlname_nons'];
$any = array_values(array_unique(array_merge($query['any'], $query_phrase['any'])));
foreach ( $any as $term )
{
if ( $case_sensitive )
{
if ( strstr($page['name'], $term) || strstr($page['urlname_nons'], $term) )
{
( isset($scores[$idstring]) ) ? $scores[$idstring] = $scores[$idstring] + 1.5 : $scores[$idstring] = 1.5;
}
}
else
{
if ( stristr($page['name'], $term) || stristr($page['urlname_nons'], $term) )
{
( isset($scores[$idstring]) ) ? $scores[$idstring] = $scores[$idstring] + 1.5 : $scores[$idstring] = 1.5;
}
}
}
if ( isset($scores[$idstring]) )
{
$page_data[$idstring] = array(
'page_name' => $page['name'],
'page_text' => '',
'page_id' => $page['urlname_nons'],
'namespace' => $page['namespace'],
'score' => $scores[$idstring],
'page_length' => 1,
'page_note' => '[Special page]'
);
}
}
//
// STAGE 6 - SECOND ELIMINATION ROUND
// Iterate through the list of required terms. If a given page is not found to have the required term, eliminate it
//
$required = array_merge($query['req'], $query_phrase['req']);
foreach ( $required as $term )
{
foreach ( $page_data as $id => $page )
{
if ( ( $page['namespace'] == 'Special' || ( $page['namespace'] != 'Special' && !strstr($page['page_text'], $term) ) ) && !strstr($page['page_id'], $term) && !strstr($page['page_name'], $term) )
{
unset($page_data[$id]);
}
}
}
// At this point, all of our normal results are in. However, we can also allow plugins to hook into the system and score their own
// pages and add text, etc. as necessary.
// Plugins are COMPLETELY responsible for using the search terms and handling Boolean logic properly
$code = $plugins->setHook('search_global_inner');
foreach ( $code as $cmd )
{
eval($cmd);
}
// a marvelous debugging aid :-)
// die('<pre>' . htmlspecialchars(print_r($page_data, true)) . '</pre>');
//
// STAGE 7 - HIGHLIGHT, TRIM, AND SCORE RESULTS
// We now have the complete results of the search. We need to trim text down to show only portions of the page containing search
// terms, highlight any search terms within the page, and sort the final results array in descending order of score.
//
// Sort scores array
arsort($scores);
// Divisor for calculating relevance scores
$divisor = ( count($query['any']) + count($query_phrase['any']) + count($query['req']) + count($query_phrase['not']) ) * 1.5;
foreach ( $scores as $page_id => $score )
{
if ( !isset($page_data[$page_id]) )
// It's possible that $scores contains a score for a page that was later eliminated because it contained a disallowed term
continue;
// Make a copy of the datum, then delete the original (it frees up a LOT of RAM)
$datum = $page_data[$page_id];
unset($page_data[$page_id]);
// This is an internal value used for sorting - it's no longer needed.
unset($datum['id']);
// Calculate score
// if ( $score > $divisor )
// $score = $divisor;
$datum['score'] = round($score / $divisor, 2) * 100;
// Store it in our until-now-unused results array
$results[] = $datum;
}
// Our work here is done. :-D
return $results;
}
/**
* Parses a search query into an associative array. The resultant array will be filled with the following values, each an array:
* any: Search terms that can optionally be present
* req: Search terms that must be present
* not: Search terms that should not be present
* @param string Search query
* @param array Will be filled with parser warnings, such as query too short, words too short, etc.
* @return array
*/
function parse_search_query($query, &$warnings)
{
$stopwords = get_stopwords();
$ret = array(
'any' => array(),
'req' => array(),
'not' => array()
);
$warnings = array();
$terms = array();
$in_quote = false;
$start_term = 0;
$just_finished = false;
for ( $i = 0; $i < strlen($query); $i++ )
{
$chr = $query{$i};
$prev = ( $i > 0 ) ? $query{ $i - 1 } : '';
$next = ( ( $i + 1 ) < strlen($query) ) ? $query{ $i + 1 } : '';
if ( ( $chr == ' ' && !$in_quote ) || ( $i + 1 == strlen ( $query ) ) )
{
$len = ( $next == '' ) ? $i + 1 : $i - $start_term;
$word = substr ( $query, $start_term, $len );
$terms[] = $word;
$start_term = $i + 1;
}
elseif ( $chr == '"' && $in_quote && $prev != '\\' )
{
$word = substr ( $query, $start_term, $i - $start_term + 1 );
$start_pos = ( $next == ' ' ) ? $i + 2 : $i + 1;
$in_quote = false;
}
elseif ( $chr == '"' && !$in_quote )
{
$in_quote = true;
$start_pos = $i;
}
}
$ticker = 0;
foreach ( $terms as $element => $__unused )
{
$atom =& $terms[$element];
$ticker++;
if ( $ticker == 20 )
{
$warnings[] = 'Some of your search terms were excluded because searches are limited to 20 terms to prevent excessive server load.';
break;
}
if ( substr ( $atom, 0, 2 ) == '+"' && substr ( $atom, ( strlen ( $atom ) - 1 ), 1 ) == '"' )
{
$word = substr ( $atom, 2, ( strlen( $atom ) - 3 ) );
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = 'One or more of your search terms was excluded because either it was less than 2 characters in length or is a common word (a stopword) that is typically found on a large number of pages. Examples of stopwords include "the", "this", "which", "with", etc.';
$ticker--;
continue;
}
if(in_array($word, $ret['req']))
{
$warnings[] = 'One or more of your search terms was excluded because duplicate terms were encountered.';
$ticker--;
continue;
}
$ret['req'][] = $word;
}
elseif ( substr ( $atom, 0, 2 ) == '-"' && substr ( $atom, ( strlen ( $atom ) - 1 ), 1 ) == '"' )
{
$word = substr ( $atom, 2, ( strlen( $atom ) - 3 ) );
if ( strlen ( $word ) < 4 )
{
$warnings[] = 'One or more of your search terms was excluded because terms must be at least 4 characters in length.';
$ticker--;
continue;
}
if(in_array($word, $ret['not']))
{
$warnings[] = 'One or more of your search terms was excluded because duplicate terms were encountered.';
$ticker--;
continue;
}
$ret['not'][] = $word;
}
elseif ( substr ( $atom, 0, 1 ) == '+' )
{
$word = substr ( $atom, 1 );
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = 'One or more of your search terms was excluded because either it was less than 2 characters in length or is a common word (a stopword) that is typically found on a large number of pages. Examples of stopwords include "the", "this", "which", "with", etc.';
$ticker--;
continue;
}
if(in_array($word, $ret['req']))
{
$warnings[] = 'One or more of your search terms was excluded because duplicate terms were encountered.';
$ticker--;
continue;
}
$ret['req'][] = $word;
}
elseif ( substr ( $atom, 0, 1 ) == '-' )
{
$word = substr ( $atom, 1 );
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = 'One or more of your search terms was excluded because either it was less than 2 characters in length or is a common word (a stopword) that is typically found on a large number of pages. Examples of stopwords include "the", "this", "which", "with", etc.';
$ticker--;
continue;
}
if(in_array($word, $ret['not']))
{
$warnings[] = 'One or more of your search terms was excluded because duplicate terms were encountered.';
$ticker--;
continue;
}
$ret['not'][] = $word;
}
elseif ( substr ( $atom, 0, 1 ) == '"' && substr ( $atom, ( strlen($atom) - 1 ), 1 ) == '"' )
{
$word = substr ( $atom, 1, ( strlen ( $atom ) - 2 ) );
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = 'One or more of your search terms was excluded because either it was less than 2 characters in length or is a common word (a stopword) that is typically found on a large number of pages. Examples of stopwords include "the", "this", "which", "with", etc.';
$ticker--;
continue;
}
if(in_array($word, $ret['any']))
{
$warnings[] = 'One or more of your search terms was excluded because duplicate terms were encountered.';
$ticker--;
continue;
}
$ret['any'][] = $word;
}
else
{
$word = $atom;
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = 'One or more of your search terms was excluded because either it was less than 2 characters in length or is a common word (a stopword) that is typically found on a large number of pages. Examples of stopwords include "the", "this", "which", "with", etc.';
$ticker--;
continue;
}
if(in_array($word, $ret['any']))
{
$warnings[] = 'One or more of your search terms was excluded because duplicate terms were encountered.';
$ticker--;
continue;
}
$ret['any'][] = $word;
}
}
return $ret;
}
/**
* Escapes a string for use in a LIKE clause.
* @param string
* @return string
*/
function escape_string_like($string)
{
global $db, $session, $paths, $template, $plugins; // Common objects
$string = $db->escape($string);
$string = str_replace(array('%', '_'), array('\%', '\_'), $string);
return $string;
}
/**
* Wraps <highlight></highlight> tags around all words in both the specified array. Does not perform any clipping.
* @param string Text to process
* @param array Word list
* @param bool If true, searches case-sensitively when highlighting words
* @return string
*/
function highlight_search_result($pt, $words, $case_sensitive = false)
{
$words2 = array();
for ( $i = 0; $i < sizeof($words); $i++)
{
if(!empty($words[$i]))
$words2[] = preg_quote($words[$i]);
}
$flag = ( $case_sensitive ) ? '' : 'i';
$regex = '/(' . implode('|', $words2) . ')/' . $flag;
$pt = preg_replace($regex, '<highlight>\\1</highlight>', $pt);
return $pt;
}
/**
* Wraps <highlight></highlight> tags around all words in both the specified array and the specified text and clips the text to
* an appropriate length.
* @param string Text to process
* @param array Word list
* @param bool If true, searches case-sensitively when highlighting words
* @return string
*/
function highlight_and_clip_search_result($pt, $words, $case_sensitive = false)
{
$cut_off = false;
$space_chars = Array("\t", "\n", "\r", " ");
$pt = highlight_search_result($pt, $words, $case_sensitive);
foreach ( $words as $word )
{
// Boldface searched words
$ptlen = strlen($pt);
for ( $i = 0; $i < $ptlen; $i++ )
{
$len = strlen($word);
if ( strtolower(substr($pt, $i, $len)) == strtolower($word) )
{
$chunk1 = substr($pt, 0, $i);
$chunk2 = substr($pt, $i, $len);
$chunk3 = substr($pt, ( $i + $len ));
$pt = $chunk1 . $chunk2 . $chunk3;
$ptlen = strlen($pt);
// Cut off text to 150 chars or so
if ( !$cut_off )
{
$cut_off = true;
if ( $i - 75 > 0 )
{
// Navigate backwards until a space character is found
$chunk = substr($pt, 0, ( $i - 75 ));
$final_chunk = $chunk;
for ( $j = strlen($chunk); $j > 0; $j = $j - 1 )
{
if ( in_array($chunk{$j}, $space_chars) )
{
$final_chunk = substr($chunk, $j + 1);
break;
}
}
$mid_chunk = substr($pt, ( $i - 75 ), 75);
$clipped = '...' . $final_chunk . $mid_chunk . $chunk2;
$chunk = substr($pt, ( $i + strlen($chunk2) + 75 ));
$final_chunk = $chunk;
for ( $j = 0; $j < strlen($chunk); $j++ )
{
if ( in_array($chunk{$j}, $space_chars) )
{
$final_chunk = substr($chunk, 0, $j);
break;
}
}
$end_chunk = substr($pt, ( $i + strlen($chunk2) ), 75 );
$clipped .= $end_chunk . $final_chunk . '...';
$pt = $clipped;
}
else if ( strlen($pt) > 200 )
{
$mid_chunk = substr($pt, ( $i - 75 ), 75);
$clipped = $chunk1 . $chunk2;
$chunk = substr($pt, ( $i + strlen($chunk2) + 75 ));
$final_chunk = $chunk;
for ( $j = 0; $j < strlen($chunk); $j++ )
{
if ( in_array($chunk{$j}, $space_chars) )
{
$final_chunk = substr($chunk, 0, $j);
break;
}
}
$end_chunk = substr($pt, ( $i + strlen($chunk2) ), 75 );
$clipped .= $end_chunk . $final_chunk . '...';
$pt = $clipped;
}
break 2;
}
}
}
$cut_off = false;
}
return $pt;
}
/**
* Returns a list of words that shouldn't under most circumstances be indexed for searching. Kudos to MySQL.
* @return array
* @see http://dev.mysql.com/doc/refman/5.0/en/fulltext-stopwords.html
*/
function get_stopwords()
{
static $stopwords;
if ( is_array($stopwords) )
return $stopwords;
$stopwords = array('a\'s', 'able', 'after', 'afterwards', 'again',
'against', 'ain\'t', 'all', 'almost', 'alone', 'along', 'already', 'also', 'although', 'always',
'am', 'among', 'amongst', 'an', 'and', 'another', 'any', 'anybody', 'anyhow', 'anyone', 'anything', 'anyway',
'anyways', 'anywhere', 'apart', 'appear', 'appreciate', 'appropriate', 'are', 'aren\'t', 'around', 'as', 'aside',
'ask', 'asking', 'associated', 'at', 'available', 'away', 'awfully', 'be', 'became', 'because', 'become', 'becomes',
'becoming', 'been', 'before', 'beforehand', 'behind', 'being', 'believe', 'below', 'beside', 'besides', 'best',
'better', 'between', 'beyond', 'both', 'brief', 'but', 'by', 'c\'mon', 'c\'s', 'came', 'can', 'can\'t', 'cannot',
'cant', 'cause', 'causes', 'certain', 'certainly', 'changes', 'clearly', 'co', 'com', 'come', 'comes', 'concerning',
'consequently', 'consider', 'considering', 'contain', 'containing', 'contains', 'corresponding', 'could',
'couldn\'t', 'course', 'despite', 'did', 'didn\'t', 'different', 'do',
'does', 'doesn\'t', 'doing', 'don\'t', 'done', 'down', 'downwards', 'during', 'each', 'edu', 'eg', 'eight',
'either', 'else', 'elsewhere', 'enough', 'entirely', 'especially', 'et', 'etc', 'even', 'ever', 'every',
'everybody', 'everyone', 'everything', 'everywhere', 'ex', 'exactly', 'example', 'except', 'far', 'few', 'fifth',
'first', 'five', 'followed', 'following', 'follows', 'for', 'former', 'formerly', 'forth', 'four', 'from',
'further', 'get', 'gets', 'getting', 'given', 'gives', 'go', 'goes', 'going', 'gone', 'got',
'gotten', 'had', 'hadn\'t', 'happens', 'hardly', 'has', 'hasn\'t', 'have', 'haven\'t', 'having',
'he', 'he\'s', 'hello', 'help', 'hence', 'her', 'here', 'here\'s', 'hereafter', 'hereby', 'herein', 'hereupon',
'hers', 'herself', 'hi', 'him', 'himself', 'his', 'hither', 'hopefully', 'how', 'howbeit', 'however', 'i\'d',
'i\'ll', 'i\'m', 'i\'ve', 'ie', 'if', 'ignored', 'immediate', 'in', 'inasmuch', 'inc', 'indeed', 'indicate',
'indicated', 'indicates', 'inner', 'insofar', 'instead', 'into', 'inward', 'is', 'isn\'t', 'it', 'it\'d', 'it\'ll',
'it\'s', 'its', 'itself', 'just', 'keep', 'keeps', 'kept', 'know', 'knows', 'known', 'last', 'lately', 'later',
'latter', 'latterly', 'least', 'less', 'lest', 'let', 'let\'s', 'like', 'liked', 'likely', 'little', 'look',
'looking', 'looks', 'ltd', 'mainly', 'many', 'may', 'maybe', 'me', 'mean', 'meanwhile', 'merely', 'might', 'more',
'moreover', 'most', 'mostly', 'much', 'must', 'my', 'myself', 'name', 'namely', 'nd', 'near', 'nearly', 'necessary',
'need', 'needs', 'neither', 'never', 'nevertheless', 'new', 'next', 'nine', 'no', 'nobody', 'non', 'none', 'noone',
'nor', 'normally', 'not', 'nothing', 'novel', 'now', 'nowhere', 'obviously', 'of', 'off', 'often', 'oh', 'ok',
'okay', 'old', 'on', 'once', 'one', 'ones', 'only', 'onto', 'or', 'other', 'others', 'otherwise', 'ought', 'our',
'ours', 'ourselves', 'out', 'outside', 'over', 'overall', 'own', 'particular', 'particularly', 'per', 'perhaps',
'placed', 'please', 'plus', 'possible', 'presumably', 'probably', 'provides', 'que', 'quite', 'qv', 'rather', 'rd',
're', 'really', 'reasonably', 'regarding', 'regardless', 'regards', 'relatively', 'respectively', 'right', 'said',
'same', 'saw', 'say', 'saying', 'says', 'second', 'secondly', 'see', 'seeing', 'seem', 'seemed', 'seeming', 'seems',
'seen', 'self', 'selves', 'sensible', 'sent', 'serious', 'seriously', 'seven', 'several', 'shall', 'she', 'should',
'shouldn\'t', 'since', 'six', 'so', 'some', 'somebody', 'somehow', 'someone', 'something', 'sometime', 'sometimes',
'somewhat', 'somewhere', 'soon', 'sorry', 'specified', 'specify', 'specifying', 'still', 'sub', 'such', 'sup',
'sure', 't\'s', 'take', 'taken', 'tell', 'tends', 'th', 'than', 'thank', 'thanks', 'thanx', 'that', 'that\'s',
'thats', 'the', 'their', 'theirs', 'them', 'then', 'thence', 'there', 'there\'s', 'thereafter',
'thereby', 'therefore', 'therein', 'theres', 'thereupon', 'these', 'they', 'they\'d', 'they\'ll', 'they\'re',
'they\'ve', 'think', 'third', 'this', 'thorough', 'thoroughly', 'those', 'though', 'three', 'through', 'throughout',
'thru', 'thus', 'to', 'together', 'too', 'took', 'toward', 'towards', 'tried', 'tries', 'truly', 'try', 'trying',
'twice', 'two', 'un', 'under', 'unfortunately', 'unless', 'unlikely', 'until', 'unto', 'upon', 'use',
'used', 'useful', 'uses', 'using', 'usually', 'value', 'various', 'very',
'was', 'wasn\'t', 'way', 'we', 'we\'d', 'we\'ll', 'we\'re', 'we\'ve', 'welcome', 'well', 'went', 'were', 'weren\'t',
'what', 'what\'s', 'whatever', 'when', 'whence', 'whenever', 'where', 'where\'s', 'whereafter', 'whereas',
'which', 'while', 'who', 'who\'s', 'whole', 'whom', 'whose', 'why', 'will', 'willing', 'wish', 'with', 'within',
'without', 'won\'t', 'wonder', 'would', 'would', 'wouldn\'t', 'yes', 'yet', 'you', 'you\'d', 'you\'ll', 'you\'re',
'you\'ve', 'your', 'yours', 'zero');
return $stopwords;
}
?>