Fixed a couple typos in mod_rewrite detection (I'm really doing this blind, as the source tree used for testing is different than the one for editing)
<?php
/*
* Enano - an open-source CMS capable of wiki functions, Drupal-like sidebar blocks, and everything in between
* Version 1.1.5 (Caoineag alpha 5)
* Copyright (C) 2006-2008 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.
*/
/**
* 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, $stopwords) || strlen($w) > 63 || preg_match('/[\']{2,}/', $w))
unset($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|reference Will be filled with any warnings encountered whilst parsing the query
* @param bool Case sensitivity - defaults to false
* @param array|reference Will be filled with the parsed list of words.
* @return array
*/
function perform_search($query, &$warnings, $case_sensitive = false, &$word_list)
{
global $db, $session, $paths, $template, $plugins; // Common objects
global $lang;
$warnings = array();
//
// STAGE 0: PARSE SEARCH QUERY
// Identify all terms of the query. Separate between what is required and what is not, and what should be sent through the index as
// opposed to straight-out LIKE-selected.
//
$query = parse_search_query($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[] = $lang->get('search_err_query_no_positive');
return array();
}
//
// STAGE 1
// Get all possible result pages from the search index. Tally which pages have the most words, and later sort them by boolean relevance
//
// Skip this if no indexable words are included
if ( count($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' : 'word_lcase';
$where_any = ( count($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' : ENANO_SQLFUNC_LOWERCASE . '(page_text)';
$name_col = ( $case_sensitive ) ? 'name' : ENANO_SQLFUNC_LOWERCASE . '(name)';
$text_col_join = ( $case_sensitive ) ? 't.page_text' : ENANO_SQLFUNC_LOWERCASE . '(t.page_text)';
$name_col_join = ( $case_sensitive ) ? 'p.name' : ENANO_SQLFUNC_LOWERCASE . '(p.name)';
$concat_column = ( ENANO_DBLAYER == 'MYSQL' ) ?
'CONCAT(\'ns=\',t.namespace,\';pid=\',t.page_id)' :
"'ns=' || t.namespace || ';pid=' || t.page_id";
if ( count($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_column . ' 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 p.visible = 1 AND (\n $where_any\n $where_req\n );";
if ( !($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_column . ' = \'' . implode('\' OR ' . $concat_column . ' = \'', $text_where) . '\' )';
if ( count($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_column . ' 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 p.visible = 1 AND ( $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' || $page['visible'] == 0 )
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' => highlight_search_result($page['name'], $word_list, $case_sensitive),
'page_text' => '',
'page_id' => $page['urlname_nons'],
'namespace' => $page['namespace'],
'score' => $scores[$idstring],
'page_length' => 1,
'page_note' => '[' . $lang->get('search_result_tag_special') . ']'
);
}
}
//
// 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[$id]);
}
}
}
// At this point, all of our normal results are in. However, we can also allow plugins to hook into the system and score their own
// pages and add text, etc. as necessary.
// Plugins are COMPLETELY responsible for using the search terms and handling Boolean logic properly
inject_custom_search_results($query, $query_phrase, $scores, $page_data, $case_sensitive, $word_list);
$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['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;
// Highlight the URL
$datum['url_highlight'] = makeUrlComplete($datum['namespace'], $datum['page_id']);
$datum['url_highlight'] = preg_replace('/\?.+$/', '', $datum['url_highlight']);
$datum['url_highlight'] = highlight_search_result($datum['url_highlight'], $word_list, $case_sensitive);
// 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)
{
global $lang;
$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[] = $lang->get('search_err_query_too_many_terms');
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[] = $lang->get('search_err_query_has_stopwords');
$ticker--;
continue;
}
if(in_array($word, $ret['req']))
{
$warnings[] = $lang->get('search_err_query_dup_terms');
$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[] = $lang->get('search_err_query_term_too_short');
$ticker--;
continue;
}
if(in_array($word, $ret['not']))
{
$warnings[] = $lang->get('search_err_query_dup_terms');
$ticker--;
continue;
}
$ret['not'][] = $word;
}
elseif ( substr ( $atom, 0, 1 ) == '+' )
{
$word = substr ( $atom, 1 );
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = $lang->get('search_err_query_has_stopwords');
$ticker--;
continue;
}
if(in_array($word, $ret['req']))
{
$warnings[] = $lang->get('search_err_query_dup_terms');
$ticker--;
continue;
}
$ret['req'][] = $word;
}
elseif ( substr ( $atom, 0, 1 ) == '-' )
{
$word = substr ( $atom, 1 );
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = $lang->get('search_err_query_has_stopwords');
$ticker--;
continue;
}
if(in_array($word, $ret['not']))
{
$warnings[] = $lang->get('search_err_query_dup_terms');
$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[] = $lang->get('search_err_query_has_stopwords');
$ticker--;
continue;
}
if(in_array($word, $ret['any']))
{
$warnings[] = $lang->get('search_err_query_dup_terms');
$ticker--;
continue;
}
$ret['any'][] = $word;
}
else
{
$word = $atom;
if ( strlen ( $word ) < 2 || in_array($word, $stopwords) )
{
$warnings[] = $lang->get('search_err_query_has_stopwords');
$ticker--;
continue;
}
if(in_array($word, $ret['any']))
{
$warnings[] = $lang->get('search_err_query_dup_terms');
$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) - 1; $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.
* @return array
*/
function get_stopwords()
{
static $stopwords;
if ( is_array($stopwords) )
return $stopwords;
$stopwords = array('I', 'a', 'about', 'an', 'are', 'as', 'at', 'be', 'by', 'com', 'de', 'en', 'for', 'from', 'how', 'in', 'is', 'it',
'la', 'of', 'on', 'or', 'that', 'the', 'this', 'to', 'was', 'what', 'when', 'where', 'who', 'will', 'with', 'and',
'the');
return $stopwords;
}
/**
* Private function to inject custom results into a search.
*/
function inject_custom_search_results(&$query, &$query_phrase, &$scores, &$page_data, &$case_sensitive, &$word_list)
{
global $db, $session, $paths, $template, $plugins; // Common objects
global $lang;
global $search_handlers;
// global functions
$terms = array(
'any' => array_merge($query['any'], $query_phrase['any']),
'req' => array_merge($query['req'], $query_phrase['req']),
'not' => $query['not']
);
foreach ( $search_handlers as &$options )
{
$where = array('any' => array(), 'req' => array(), 'not' => array());
$where_any =& $where['any'];
$where_req =& $where['req'];
$where_not =& $where['not'];
$title_col = ( $case_sensitive ) ? $options['titlecolumn'] : ENANO_SQLFUNC_LOWERCASE . '(' . $options['titlecolumn'] . ')';
if ( isset($options['datacolumn']) )
$desc_col = ( $case_sensitive ) ? $options['datacolumn'] : ENANO_SQLFUNC_LOWERCASE . '(' . $options['datacolumn'] . ')';
else
$desc_col = "''";
foreach ( $terms['any'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_any[] = "( $title_col LIKE '%{$term}%' OR $desc_col LIKE '%{$term}%' )";
}
foreach ( $terms['req'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_req[] = "( $title_col LIKE '%{$term}%' OR $desc_col LIKE '%{$term}%' )";
}
foreach ( $terms['not'] as $term )
{
$term = escape_string_like($term);
if ( !$case_sensitive )
$term = strtolower($term);
$where_not[] = "$title_col NOT LIKE '%{$term}%' AND $desc_col NOT LIKE '%{$term}%'";
}
if ( empty($where_any) )
unset($where_any, $where['any']);
if ( empty($where_req) )
unset($where_req, $where['req']);
if ( empty($where_not) )
unset($where_not, $where['not']);
$where_any = '(' . implode(' OR ', $where_any) . '' . ( isset($where['req']) || isset($where['not']) ? ' OR 1 = 1' : '' ) . ')';
if ( isset($where_req) )
$where_req = implode(' AND ', $where_req);
if ( isset($where_not) )
$where_not = implode( 'AND ', $where_not);
$where = implode(' AND ', $where);
$columns = $options['titlecolumn'];
if ( isset($options['datacolumn']) )
$columns .= ", {$options['datacolumn']}";
if ( isset($options['additionalcolumns']) )
$columns .= ', ' . implode(', ', $options['additionalcolumns']);
$additionalwhere = ( isset($options['additionalwhere']) ) ? $options['additionalwhere'] : '';
$sql = "SELECT $columns FROM " . table_prefix . "{$options['table']} WHERE ( $where ) $additionalwhere;";
if ( !($q = $db->sql_unbuffered_query($sql)) )
{
$db->_die('Automatically generated search query');
}
if ( $row = $db->fetchrow() )
{
do
{
$parser = $template->makeParserText($options['uniqueid']);
$parser->assign_vars($row);
$idstring = $parser->run();
// Score this result
foreach ( $word_list as $term )
{
if ( $case_sensitive )
{
if ( strstr($row[$options['titlecolumn']], $term) )
{
( isset($scores[$idstring]) ) ? $scores[$idstring] += 1.5 : $scores[$idstring] = 1.5;
}
else if ( isset($options['datacolumn']) && strstr($row[$options['datacolumn']], $term) )
{
( isset($scores[$idstring]) ) ? $scores[$idstring]++ : $scores[$idstring] = 1;
}
}
else
{
if ( stristr($row[$options['titlecolumn']], $term) )
{
( isset($scores[$idstring]) ) ? $scores[$idstring] += 1.5 : $scores[$idstring] = 1.5;
}
else if ( isset($options['datacolumn']) && stristr($row[$options['datacolumn']], $term) )
{
( isset($scores[$idstring]) ) ? $scores[$idstring]++ : $scores[$idstring] = 1;
}
}
}
// Generate text...
$text = '';
if ( isset($options['datacolumn']) && !isset($options['formatcallback']) )
{
$text = highlight_and_clip_search_result(htmlspecialchars($row[$options['datacolumn']]), $word_list);
}
else if ( isset($options['formatcallback']) )
{
if ( is_callable($options['formatcallback']) )
{
$text = @call_user_func($options['formatcallback'], $row, $word_list);
}
else
{
$parser = $template->makeParserText($options['formatcallback']);
$parser->assign_vars($row);
$text = $parser->run();
}
}
// Inject result
if ( isset($scores[$idstring]) )
{
$parser = $template->makeParserText($options['linkformat']['page_id']);
$parser->assign_vars($row);
$page_id = $parser->run();
$parser = $template->makeParserText($options['linkformat']['namespace']);
$parser->assign_vars($row);
$namespace = $parser->run();
$page_data[$idstring] = array(
'page_name' => highlight_search_result(htmlspecialchars($row[$options['titlecolumn']]), $word_list),
'page_text' => $text,
'score' => $scores[$idstring],
'page_id' => $page_id,
'namespace' => $namespace,
);
// Any additional flags that need to be added to the result?
// The small usually-bracketed text to the left of the title
if ( isset($options['resultnote']) )
{
$page_data[$idstring]['page_note'] = $options['resultnote'];
}
// Should we include the length?
if ( isset($options['datacolumn']) )
{
$page_data[$idstring]['page_length'] = strlen($row[$options['datacolumn']]);
}
else
{
$page_data[$idstring]['page_length'] = 0;
$page_data[$idstring]['zero_length'] = true;
}
// Anything to append to result links?
if ( isset($options['linkformat']['append']) )
{
$page_data[$idstring]['url_append'] = $options['linkformat']['append'];
}
}
}
while ( $row = $db->fetchrow($q) );
$db->free_result($q);
}
}
}
?>