PHP Zend_Search_Lucene_Index_Term::getPrefix方法代码示例

 public function testGetPrefixUtf8()
 {
     // UTF-8 string with non-ascii symbols (Russian alphabet)
     $this->assertEquals(Zend_Search_Lucene_Index_Term::getPrefix('абвгдеёжзийклмнопрстуфхцчшщьыъэюя', 64), 'абвгдеёжзийклмнопрстуфхцчшщьыъэюя');
     $this->assertEquals(Zend_Search_Lucene_Index_Term::getPrefix('абвгдеёжзийклмнопрстуфхцчшщьыъэюя', 33), 'абвгдеёжзийклмнопрстуфхцчшщьыъэюя');
     $this->assertEquals(Zend_Search_Lucene_Index_Term::getPrefix('абвгдеёжзийклмнопрстуфхцчшщьыъэюя', 4), 'абвг');
     $this->assertEquals(Zend_Search_Lucene_Index_Term::getPrefix('абвгдеёжзийклмнопрстуфхцчшщьыъэюя', 0), '');
 }

    /**
     * Scans terms dictionary and returns next term
     *
     * @return Zend_Search_Lucene_Index_Term|null
     */
    public function nextTerm()
    {
        if ($this->_tisFile === null  ||  $this->_termCount == 0) {
            $this->_lastTerm          = null;
            $this->_lastTermInfo      = null;
            $this->_lastTermPositions = null;
            $this->_docMap            = null;

            // may be necessary for "empty" segment
            $this->_tisFile = null;
            $this->_frqFile = null;
            $this->_prxFile = null;

            return null;
        }

        $termPrefixLength = $this->_tisFile->readVInt();
        $termSuffix       = $this->_tisFile->readString();
        $termFieldNum     = $this->_tisFile->readVInt();
        $termValue        = Zend_Search_Lucene_Index_Term::getPrefix($this->_lastTerm->text, $termPrefixLength) . $termSuffix;

        $this->_lastTerm = new Zend_Search_Lucene_Index_Term($termValue, $this->_fields[$termFieldNum]->name);

        $docFreq     = $this->_tisFile->readVInt();
        $freqPointer = $this->_lastTermInfo->freqPointer + $this->_tisFile->readVInt();
        $proxPointer = $this->_lastTermInfo->proxPointer + $this->_tisFile->readVInt();
        if ($docFreq >= $this->_skipInterval) {
            $skipOffset = $this->_tisFile->readVInt();
        } else {
            $skipOffset = 0;
        }

        $this->_lastTermInfo = new Zend_Search_Lucene_Index_TermInfo($docFreq, $freqPointer, $proxPointer, $skipOffset);


        if ($this->_termsScanMode == self::SM_FULL_INFO  ||  $this->_termsScanMode == self::SM_MERGE_INFO) {
            $this->_lastTermPositions = array();

            $this->_frqFile->seek($this->_lastTermInfo->freqPointer + $this->_frqFileOffset, SEEK_SET);
            $freqs = array();   $docId = 0;
            for( $count = 0; $count < $this->_lastTermInfo->docFreq; $count++ ) {
                $docDelta = $this->_frqFile->readVInt();
                if( $docDelta % 2 == 1 ) {
                    $docId += ($docDelta-1)/2;
                    $freqs[ $docId ] = 1;
                } else {
                    $docId += $docDelta/2;
                    $freqs[ $docId ] = $this->_frqFile->readVInt();
                }
            }

            $this->_prxFile->seek($this->_lastTermInfo->proxPointer + $this->_prxFileOffset, SEEK_SET);
            foreach ($freqs as $docId => $freq) {
                $termPosition = 0;  $positions = array();

                for ($count = 0; $count < $freq; $count++ ) {
                    $termPosition += $this->_prxFile->readVInt();
                    $positions[] = $termPosition;
                }

                if (isset($this->_docMap[$docId])) {
                    $this->_lastTermPositions[$this->_docMap[$docId]] = $positions;
                }
            }
        }

        $this->_termCount--;
        if ($this->_termCount == 0) {
            $this->_tisFile = null;
            $this->_frqFile = null;
            $this->_prxFile = null;
        }

        return $this->_lastTerm;
    }

 /**
  * 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)
 {
     $words = array();
     //$1 'Zend/Search/Lucene/Index/Term.php';
     $prefix = Zend_Search_Lucene_Index_Term::getPrefix($this->_term->text, $this->_prefixLength);
     $prefixByteLength = strlen($prefix);
     $prefixUtf8Length = Zend_Search_Lucene_Index_Term::getLength($prefix);
     $termLength = Zend_Search_Lucene_Index_Term::getLength($this->_term->text);
     $termRest = substr($this->_term->text, $prefixByteLength);
     // we calculate length of the rest in bytes since levenshtein() is not UTF-8 compatible
     $termRestLength = strlen($termRest);
     $scaleFactor = 1 / (1 - $this->_minimumSimilarity);
     $docBody = $highlighter->getDocument()->getFieldUtf8Value('body');
     //$1 'Zend/Search/Lucene/Analysis/Analyzer.php';
     $tokens = Zend_Search_Lucene_Analysis_Analyzer::getDefault()->tokenize($docBody, 'UTF-8');
     foreach ($tokens as $token) {
         $termText = $token->getTermText();
         if (substr($termText, 0, $prefixByteLength) == $prefix) {
             // Calculate similarity
             $target = substr($termText, $prefixByteLength);
             $maxDistance = isset($this->_maxDistances[strlen($target)]) ? $this->_maxDistances[strlen($target)] : $this->_calculateMaxDistance($prefixUtf8Length, $termRestLength, strlen($target));
             if ($termRestLength == 0) {
                 // we don't have anything to compare.  That means if we just add
                 // the letters for current term we get the new word
                 $similarity = $prefixUtf8Length == 0 ? 0 : 1 - strlen($target) / $prefixUtf8Length;
             } else {
                 if (strlen($target) == 0) {
                     $similarity = $prefixUtf8Length == 0 ? 0 : 1 - $termRestLength / $prefixUtf8Length;
                 } else {
                     if ($maxDistance < abs($termRestLength - strlen($target))) {
                         //just adding the characters of term to target or vice-versa results in too many edits
                         //for example "pre" length is 3 and "prefixes" length is 8.  We can see that
                         //given this optimal circumstance, the edit distance cannot be less than 5.
                         //which is 8-3 or more precisesly abs(3-8).
                         //if our maximum edit distance is 4, then we can discard this word
                         //without looking at it.
                         $similarity = 0;
                     } else {
                         $similarity = 1 - levenshtein($termRest, $target) / ($prefixUtf8Length + min($termRestLength, strlen($target)));
                     }
                 }
             }
             if ($similarity > $this->_minimumSimilarity) {
                 $words[] = $termText;
             }
         }
     }
     $highlighter->highlight($words);
 }

 /**
  * Re-write query into primitive queries in the context of specified index
  *
  * @param Zend_Search_Lucene_Interface $index
  * @return Zend_Search_Lucene_Search_Query
  */
 public function rewrite(Zend_Search_Lucene_Interface $index)
 {
     $this->_matches = array();
     $this->_scores = array();
     $this->_termKeys = array();
     if ($this->_term->field === null) {
         // Search through all fields
         $fields = $index->getFieldNames(true);
     } else {
         $fields = array($this->_term->field);
     }
     $prefix = Zend_Search_Lucene_Index_Term::getPrefix($this->_term->text, $this->_prefixLength);
     $prefixByteLength = strlen($prefix);
     $prefixUtf8Length = Zend_Search_Lucene_Index_Term::getLength($prefix);
     $termLength = Zend_Search_Lucene_Index_Term::getLength($this->_term->text);
     $termRest = substr($this->_term->text, $prefixByteLength);
     // we calculate length of the rest in bytes since levenshtein() is not UTF-8 compatible
     $termRestLength = strlen($termRest);
     $scaleFactor = 1 / (1 - $this->_minimumSimilarity);
     foreach ($fields as $field) {
         $index->resetTermsStream();
         if ($prefix != '') {
             $index->skipTo(new Zend_Search_Lucene_Index_Term($prefix, $field));
             while ($index->currentTerm() !== null && $index->currentTerm()->field == $field && substr($index->currentTerm()->text, 0, $prefixByteLength) == $prefix) {
                 // Calculate similarity
                 $target = substr($index->currentTerm()->text, $prefixByteLength);
                 $maxDistance = isset($this->_maxDistances[strlen($target)]) ? $this->_maxDistances[strlen($target)] : $this->_calculateMaxDistance($prefixUtf8Length, $termRestLength, strlen($target));
                 if ($termRestLength == 0) {
                     // we don't have anything to compare.  That means if we just add
                     // the letters for current term we get the new word
                     $similarity = $prefixUtf8Length == 0 ? 0 : 1 - strlen($target) / $prefixUtf8Length;
                 } else {
                     if (strlen($target) == 0) {
                         $similarity = $prefixUtf8Length == 0 ? 0 : 1 - $termRestLength / $prefixUtf8Length;
                     } else {
                         if ($maxDistance < abs($termRestLength - strlen($target))) {
                             //just adding the characters of term to target or vice-versa results in too many edits
                             //for example "pre" length is 3 and "prefixes" length is 8.  We can see that
                             //given this optimal circumstance, the edit distance cannot be less than 5.
                             //which is 8-3 or more precisesly abs(3-8).
                             //if our maximum edit distance is 4, then we can discard this word
                             //without looking at it.
                             $similarity = 0;
                         } else {
                             $similarity = 1 - levenshtein($termRest, $target) / ($prefixUtf8Length + min($termRestLength, strlen($target)));
                         }
                     }
                 }
                 if ($similarity > $this->_minimumSimilarity) {
                     $this->_matches[] = $index->currentTerm();
                     $this->_termKeys[] = $index->currentTerm()->key();
                     $this->_scores[] = ($similarity - $this->_minimumSimilarity) * $scaleFactor;
                 }
                 $index->nextTerm();
             }
         } else {
             $index->skipTo(new Zend_Search_Lucene_Index_Term('', $field));
             while ($index->currentTerm() !== null && $index->currentTerm()->field == $field) {
                 // Calculate similarity
                 $target = $index->currentTerm()->text;
                 $maxDistance = isset($this->_maxDistances[strlen($target)]) ? $this->_maxDistances[strlen($target)] : $this->_calculateMaxDistance(0, $termRestLength, strlen($target));
                 if ($maxDistance < abs($termRestLength - strlen($target))) {
                     //just adding the characters of term to target or vice-versa results in too many edits
                     //for example "pre" length is 3 and "prefixes" length is 8.  We can see that
                     //given this optimal circumstance, the edit distance cannot be less than 5.
                     //which is 8-3 or more precisesly abs(3-8).
                     //if our maximum edit distance is 4, then we can discard this word
                     //without looking at it.
                     $similarity = 0;
                 } else {
                     $similarity = 1 - levenshtein($termRest, $target) / min($termRestLength, strlen($target));
                 }
                 if ($similarity > $this->_minimumSimilarity) {
                     $this->_matches[] = $index->currentTerm();
                     $this->_termKeys[] = $index->currentTerm()->key();
                     $this->_scores[] = ($similarity - $this->_minimumSimilarity) * $scaleFactor;
                 }
                 $index->nextTerm();
             }
         }
         $index->closeTermsStream();
     }
     if (count($this->_matches) == 0) {
         return new Zend_Search_Lucene_Search_Query_Empty();
     } else {
         if (count($this->_matches) == 1) {
             return new Zend_Search_Lucene_Search_Query_Term(reset($this->_matches));
         } else {
             $rewrittenQuery = new Zend_Search_Lucene_Search_Query_Boolean();
             array_multisort($this->_scores, SORT_DESC, SORT_NUMERIC, $this->_termKeys, SORT_ASC, SORT_STRING, $this->_matches);
             $termCount = 0;
             foreach ($this->_matches as $id => $matchedTerm) {
                 $subquery = new Zend_Search_Lucene_Search_Query_Term($matchedTerm);
                 $subquery->setBoost($this->_scores[$id]);
//.........这里部分代码省略.........