<?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();

  $query = parse_search_query($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

  $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;
}

?>