本文整理汇总了PHP中Zend_Search_Lucene_Search_Query_Fuzzy::_highlightMatches方法的典型用法代码示例。如果您正苦于以下问题：PHP Zend_Search_Lucene_Search_Query_Fuzzy::_highlightMatches方法的具体用法？PHP Zend_Search_Lucene_Search_Query_Fuzzy::_highlightMatches怎么用？PHP Zend_Search_Lucene_Search_Query_Fuzzy::_highlightMatches使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Zend_Search_Lucene_Search_Query_Fuzzy的用法示例。
在下文中一共展示了Zend_Search_Lucene_Search_Query_Fuzzy::_highlightMatches方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的PHP代码示例。
示例1: _highlightMatches
/**
* Query specific matches highlighting
*
* @param Zend_Search_Lucene_Search_Highlighter_Interface $highlighter Highlighter object (also contains doc for highlighting)
*/
protected function _highlightMatches(Zend_Search_Lucene_Search_Highlighter_Interface $highlighter)
{
/** Skip fields detection. We don't need it, since we expect all fields presented in the HTML body and don't differentiate them */
/** Skip exact term matching recognition, keyword fields highlighting is not supported */
// -------------------------------------
// Recognize wildcard queries
/** @todo check for PCRE unicode support may be performed through Zend_Environment in some future */
if (@preg_match('/\\pL/u', 'a') == 1) {
$subPatterns = preg_split('/[*?]/u', iconv($this->_encoding, 'UTF-8', $this->_word));
} else {
$subPatterns = preg_split('/[*?]/', $this->_word);
}
if (count($subPatterns) > 1) {
// Do nothing
return;
}
// -------------------------------------
// Recognize one-term multi-term and "insignificant" queries
require_once 'Zend/Search/Lucene/Analysis/Analyzer.php';
$tokens = Zend_Search_Lucene_Analysis_Analyzer::getDefault()->tokenize($this->_word, $this->_encoding);
if (count($tokens) == 0) {
// Do nothing
return;
}
if (count($tokens) == 1) {
require_once 'Zend/Search/Lucene/Index/Term.php';
$term = new Zend_Search_Lucene_Index_Term($tokens[0]->getTermText(), $this->_field);
require_once 'Zend/Search/Lucene/Search/Query/Fuzzy.php';
$query = new Zend_Search_Lucene_Search_Query_Fuzzy($term, $this->_minimumSimilarity);
$query->_highlightMatches($highlighter);
return;
}
// Word is tokenized into several tokens
// But fuzzy search is supported only for non-multiple word terms
// Do nothing
}示例2: _highlightMatches
protected function _highlightMatches(Zend_Search_Lucene_Search_Highlighter_Interface $highlighter)
{
if (@preg_match('/\\pL/u', 'a') == 1) {
$subPatterns = preg_split('/[*?]/u', iconv($this->_encoding, 'UTF-8', $this->_word));
} else {
$subPatterns = preg_split('/[*?]/', $this->_word);
}
if (count($subPatterns) > 1) {
return;
}
$tokens = Zend_Search_Lucene_Analysis_Analyzer::getDefault()->tokenize($this->_word, $this->_encoding);
if (count($tokens) == 0) {
return;
}
if (count($tokens) == 1) {
$term = new Zend_Search_Lucene_Index_Term($tokens[0]->getTermText(), $this->_field);
$query = new Zend_Search_Lucene_Search_Query_Fuzzy($term, $this->_minimumSimilarity);
$query->_highlightMatches($highlighter);
return;
}
}