/**
* Return the document object for this hit
*
* @return \Zend\Search\Lucene\Document
*/
public function getDocument()
{
if (!$this->_document instanceof Document) {
$this->_document = $this->_index->getDocument($this->document_id);
}
return $this->_document;
}
/**
* The sum of squared weights of contained query clauses.
*
* @return float
*/
public function sumOfSquaredWeights()
{
// compute idf
$this->_idf = $this->_reader->getSimilarity()->idf($this->_term, $this->_reader);
// compute query weight
$this->_queryWeight = $this->_idf * $this->_query->getBoost();
// square it
return $this->_queryWeight * $this->_queryWeight;
}
private function buildNews(SearchIndexInterface $index)
{
$repository = $this->get('universibo_legacy.repository.news.newsitem');
foreach ($repository->findAll() as $news) {
$doc = new Document();
$doc->addField(Field::unStored('title', $news->getTitolo()));
$doc->addField(Field::unStored('username', $news->getUsername()));
$doc->addField(Field::unStored('content', $news->getNotizia()));
$doc->addField(Field::unIndexed('dbId', $news->getIdNotizia()));
$doc->addField(Field::unIndexed('type', 'news'));
$index->addDocument($doc);
}
}
/**
* Computes a score factor for a simple term or a phrase.
*
* The default implementation is:
* return idfFreq(searcher.docFreq(term), searcher.maxDoc());
*
* input - the term in question or array of terms
* reader - reader the document collection being searched
* Returns a score factor for the term
*
* @param mixed $input
* @param \Zend\Search\Lucene\SearchIndexInterface $reader
* @return float a score factor for the term
*/
public function idf($input, \Zend\Search\Lucene\SearchIndexInterface $reader)
{
if (!is_array($input)) {
return $this->idfFreq($reader->docFreq($input), $reader->count());
} else {
$idf = 0.0;
foreach ($input as $term) {
$idf += $this->idfFreq($reader->docFreq($term), $reader->count());
}
return $idf;
}
}
/**
* Re-write query into primitive queries in the context of specified index
*
* @param \Zend\Search\Lucene\SearchIndexInterface $index
* @throws \Zend\Search\Lucene\Exception\RuntimeException
* @throws \Zend\Search\Lucene\Exception\OutOfBoundsException
* @return \Zend\Search\Lucene\Search\Query\AbstractQuery
*/
public function rewrite(Lucene\SearchIndexInterface $index)
{
$this->_matches = array();
if ($this->_pattern->field === null) {
// Search through all fields
$fields = $index->getFieldNames(true);
} else {
$fields = array($this->_pattern->field);
}
$prefix = self::_getPrefix($this->_pattern->text);
$prefixLength = strlen($prefix);
$matchExpression = '/^' . str_replace(array('\\?', '\\*'), array('.', '.*'), preg_quote($this->_pattern->text, '/')) . '$/';
if ($prefixLength < self::$_minPrefixLength) {
throw new RuntimeException('At least ' . self::$_minPrefixLength . ' non-wildcard characters are required at the beginning of pattern.');
}
/** @todo check for PCRE unicode support may be performed through Zend_Environment in some future */
if (@preg_match('/\\pL/u', 'a') == 1) {
// PCRE unicode support is turned on
// add Unicode modifier to the match expression
$matchExpression .= 'u';
}
$maxTerms = Lucene\Lucene::getTermsPerQueryLimit();
foreach ($fields as $field) {
$index->resetTermsStream();
if ($prefix != '') {
$index->skipTo(new Index\Term($prefix, $field));
while ($index->currentTerm() !== null && $index->currentTerm()->field == $field && substr($index->currentTerm()->text, 0, $prefixLength) == $prefix) {
if (preg_match($matchExpression, $index->currentTerm()->text) === 1) {
$this->_matches[] = $index->currentTerm();
if ($maxTerms != 0 && count($this->_matches) > $maxTerms) {
throw new OutOfBoundsException('Terms per query limit is reached.');
}
}
$index->nextTerm();
}
} else {
$index->skipTo(new Index\Term('', $field));
while ($index->currentTerm() !== null && $index->currentTerm()->field == $field) {
if (preg_match($matchExpression, $index->currentTerm()->text) === 1) {
$this->_matches[] = $index->currentTerm();
if ($maxTerms != 0 && count($this->_matches) > $maxTerms) {
throw new OutOfBoundsException('Terms per query limit is reached.');
}
}
$index->nextTerm();
}
}
$index->closeTermsStream();
}
if (count($this->_matches) == 0) {
return new EmptyResult();
} elseif (count($this->_matches) == 1) {
return new Term(reset($this->_matches));
} else {
$rewrittenQuery = new MultiTerm();
foreach ($this->_matches as $matchedTerm) {
$rewrittenQuery->addTerm($matchedTerm);
}
return $rewrittenQuery;
}
}
/**
* Re-write query into primitive queries in the context of specified index
*
* @param \Zend\Search\Lucene\SearchIndexInterface $index
* @return \Zend\Search\Lucene\Search\Query\AbstractQuery
*/
public function rewrite(Lucene\SearchIndexInterface $index)
{
// Allow to use wildcards within phrases
// They are either removed by text analyzer or used as a part of keyword for keyword fields
//
// if (strpos($this->_phrase, '?') !== false || strpos($this->_phrase, '*') !== false) {
// require_once 'Zend/Search/Lucene/Search/QueryParserException.php';
// throw new Zend_Search_Lucene_Search_QueryParserException('Wildcards are only allowed in a single terms.');
// }
// Split query into subqueries if field name is not specified
if ($this->_field === null) {
$query = new Query\Boolean();
$query->setBoost($this->getBoost());
if (Lucene\Lucene::getDefaultSearchField() === null) {
$searchFields = $index->getFieldNames(true);
} else {
$searchFields = array(Lucene\Lucene::getDefaultSearchField());
}
foreach ($searchFields as $fieldName) {
$subquery = new Phrase($this->_phrase, $this->_phraseEncoding, $fieldName);
$subquery->setSlop($this->getSlop());
$query->addSubquery($subquery->rewrite($index));
}
$this->_matches = $query->getQueryTerms();
return $query;
}
// Recognize exact term matching (it corresponds to Keyword fields stored in the index)
// encoding is not used since we expect binary matching
$term = new Index\Term($this->_phrase, $this->_field);
if ($index->hasTerm($term)) {
$query = new Query\Term($term);
$query->setBoost($this->getBoost());
$this->_matches = $query->getQueryTerms();
return $query;
}
// tokenize phrase using current analyzer and process it as a phrase query
$tokens = Analyzer::getDefault()->tokenize($this->_phrase, $this->_phraseEncoding);
if (count($tokens) == 0) {
$this->_matches = array();
return new Query\Insignificant();
}
if (count($tokens) == 1) {
$term = new Index\Term($tokens[0]->getTermText(), $this->_field);
$query = new Query\Term($term);
$query->setBoost($this->getBoost());
$this->_matches = $query->getQueryTerms();
return $query;
}
//It's non-trivial phrase query
$position = -1;
$query = new Query\Phrase();
foreach ($tokens as $token) {
$position += $token->getPositionIncrement();
$term = new Index\Term($token->getTermText(), $this->_field);
$query->addTerm($term, $position);
$query->setSlop($this->getSlop());
}
$this->_matches = $query->getQueryTerms();
return $query;
}
/**
* Re-write query into primitive queries in the context of specified index
*
* @param \Zend\Search\Lucene\SearchIndexInterface $index
* @throws \Zend\Search\Lucene\Exception\OutOfBoundsException
* @return \Zend\Search\Lucene\Search\Query\AbstractQuery
*/
public function rewrite(Lucene\SearchIndexInterface $index)
{
$this->_matches = array();
if ($this->_field === null) {
// Search through all fields
$fields = $index->getFieldNames(true);
} else {
$fields = array($this->_field);
}
$maxTerms = Lucene\Lucene::getTermsPerQueryLimit();
foreach ($fields as $field) {
$index->resetTermsStream();
if ($this->_lowerTerm !== null) {
$lowerTerm = new Index\Term($this->_lowerTerm->text, $field);
$index->skipTo($lowerTerm);
if (!$this->_inclusive && $index->currentTerm() == $lowerTerm) {
// Skip lower term
$index->nextTerm();
}
} else {
$index->skipTo(new Index\Term('', $field));
}
if ($this->_upperTerm !== null) {
// Walk up to the upper term
$upperTerm = new Index\Term($this->_upperTerm->text, $field);
while ($index->currentTerm() !== null && $index->currentTerm()->field == $field && $index->currentTerm()->text < $upperTerm->text) {
$this->_matches[] = $index->currentTerm();
if ($maxTerms != 0 && count($this->_matches) > $maxTerms) {
throw new OutOfBoundsException('Terms per query limit is reached.');
}
$index->nextTerm();
}
if ($this->_inclusive && $index->currentTerm() == $upperTerm) {
// Include upper term into result
$this->_matches[] = $upperTerm;
}
} else {
// Walk up to the end of field data
while ($index->currentTerm() !== null && $index->currentTerm()->field == $field) {
$this->_matches[] = $index->currentTerm();
if ($maxTerms != 0 && count($this->_matches) > $maxTerms) {
throw new OutOfBoundsException('Terms per query limit is reached.');
}
$index->nextTerm();
}
}
$index->closeTermsStream();
}
if (count($this->_matches) == 0) {
return new EmptyResult();
} else {
if (count($this->_matches) == 1) {
return new Term(reset($this->_matches));
} else {
$rewrittenQuery = new MultiTerm();
foreach ($this->_matches as $matchedTerm) {
$rewrittenQuery->addTerm($matchedTerm);
}
return $rewrittenQuery;
}
}
}
/**
* Score calculator for non conjunction queries (not all terms are required)
*
* @param integer $docId
* @param \Zend\Search\Lucene\SearchIndexInterface $reader
* @return float
*/
public function _nonConjunctionScore($docId, $reader)
{
if ($this->_coord === null) {
$this->_coord = array();
$maxCoord = 0;
foreach ($this->_signs as $sign) {
if ($sign !== false /* not prohibited */) {
$maxCoord++;
}
}
for ($count = 0; $count <= $maxCoord; $count++) {
$this->_coord[$count] = $reader->getSimilarity()->coord($count, $maxCoord);
}
}
$score = 0.0;
$matchedTerms = 0;
foreach ($this->_terms as $termId=>$term) {
// Check if term is
if ($this->_signs[$termId] !== false && // not prohibited
isset($this->_termsFreqs[$termId][$docId]) // matched
) {
$matchedTerms++;
/**
* We don't need to check that term freq is not 0
* Score calculation is performed only for matched docs
*/
$score +=
$reader->getSimilarity()->tf($this->_termsFreqs[$termId][$docId]) *
$this->_weights[$termId]->getValue() *
$reader->norm($docId, $term->field);
}
}
return $score * $this->_coord[$matchedTerms] * $this->getBoost();
}
/**
* Re-write query into primitive queries in the context of specified index
*
* @param \Zend\Search\Lucene\SearchIndexInterface $index
* @throws \Zend\Search\Lucene\Search\Exception\QueryParserException
* @return \Zend\Search\Lucene\Search\Query\AbstractQuery
*/
public function rewrite(Lucene\SearchIndexInterface $index)
{
if ($this->_field === null) {
$query = new Query\MultiTerm();
$query->setBoost($this->getBoost());
$hasInsignificantSubqueries = false;
if (Lucene\Lucene::getDefaultSearchField() === null) {
$searchFields = $index->getFieldNames(true);
} else {
$searchFields = array(Lucene\Lucene::getDefaultSearchField());
}
foreach ($searchFields as $fieldName) {
$subquery = new Term($this->_word, $this->_encoding, $fieldName);
$rewrittenSubquery = $subquery->rewrite($index);
foreach ($rewrittenSubquery->getQueryTerms() as $term) {
$query->addTerm($term);
}
if ($rewrittenSubquery instanceof Query\Insignificant) {
$hasInsignificantSubqueries = true;
}
}
if (count($query->getTerms()) == 0) {
$this->_matches = array();
if ($hasInsignificantSubqueries) {
return new Query\Insignificant();
} else {
return new Query\EmptyResult();
}
}
$this->_matches = $query->getQueryTerms();
return $query;
}
// -------------------------------------
// Recognize exact term matching (it corresponds to Keyword fields stored in the index)
// encoding is not used since we expect binary matching
$term = new Index\Term($this->_word, $this->_field);
if ($index->hasTerm($term)) {
$query = new Query\Term($term);
$query->setBoost($this->getBoost());
$this->_matches = $query->getQueryTerms();
return $query;
}
// -------------------------------------
// 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) {
$word = iconv($this->_encoding, 'UTF-8', $this->_word);
$wildcardsPattern = '/[*?]/u';
$subPatternsEncoding = 'UTF-8';
} else {
$word = $this->_word;
$wildcardsPattern = '/[*?]/';
$subPatternsEncoding = $this->_encoding;
}
$subPatterns = preg_split($wildcardsPattern, $word, -1, PREG_SPLIT_OFFSET_CAPTURE);
if (count($subPatterns) > 1) {
// Wildcard query is recognized
$pattern = '';
foreach ($subPatterns as $id => $subPattern) {
// Append corresponding wildcard character to the pattern before each sub-pattern (except first)
if ($id != 0) {
$pattern .= $word[$subPattern[1] - 1];
}
// Check if each subputtern is a single word in terms of current analyzer
$tokens = Analyzer\Analyzer::getDefault()->tokenize($subPattern[0], $subPatternsEncoding);
if (count($tokens) > 1) {
throw new QueryParserException('Wildcard search is supported only for non-multiple word terms');
}
foreach ($tokens as $token) {
$pattern .= $token->getTermText();
}
}
$term = new Index\Term($pattern, $this->_field);
$query = new Query\Wildcard($term);
$query->setBoost($this->getBoost());
// Get rewritten query. Important! It also fills terms matching container.
$rewrittenQuery = $query->rewrite($index);
$this->_matches = $query->getQueryTerms();
return $rewrittenQuery;
}
// -------------------------------------
// Recognize one-term multi-term and "insignificant" queries
$tokens = Analyzer\Analyzer::getDefault()->tokenize($this->_word, $this->_encoding);
if (count($tokens) == 0) {
$this->_matches = array();
return new Query\Insignificant();
}
if (count($tokens) == 1) {
$term = new Index\Term($tokens[0]->getTermText(), $this->_field);
$query = new Query\Term($term);
$query->setBoost($this->getBoost());
$this->_matches = $query->getQueryTerms();
return $query;
}
//It's not insignificant or one term query
$query = new Query\MultiTerm();
/**
* @todo Process $token->getPositionIncrement() to support stemming, synonyms and other
* analizer design features
*/
foreach ($tokens as $token) {
$term = new Index\Term($token->getTermText(), $this->_field);
$query->addTerm($term, true);
// all subterms are required
}
$query->setBoost($this->getBoost());
$this->_matches = $query->getQueryTerms();
return $query;
}
/**
* Score calculator for non conjunction queries (not all subqueries are required)
*
* @param integer $docId
* @param \Zend\Search\Lucene\SearchIndexInterface $reader
* @return float
*/
public function _nonConjunctionScore($docId, Lucene\SearchIndexInterface $reader)
{
if ($this->_coord === null) {
$this->_coord = array();
$maxCoord = 0;
foreach ($this->_signs as $sign) {
if ($sign !== false) {
$maxCoord++;
}
}
for ($count = 0; $count <= $maxCoord; $count++) {
$this->_coord[$count] = $reader->getSimilarity()->coord($count, $maxCoord);
}
}
$score = 0;
$matchedSubqueries = 0;
foreach ($this->_subqueries as $subqueryId => $subquery) {
$subscore = $subquery->score($docId, $reader);
// Prohibited
if ($this->_signs[$subqueryId] === false && $subscore != 0) {
return 0;
}
// is required, but doen't match
if ($this->_signs[$subqueryId] === true && $subscore == 0) {
return 0;
}
if ($subscore != 0) {
$matchedSubqueries++;
$score += $subscore;
}
}
return $score * $this->_coord[$matchedSubqueries] * $this->getBoost();
}
/**
* Score specified document
*
* @param integer $docId
* @param \Zend\Search\Lucene\SearchIndexInterface $reader
* @return float
*/
public function score($docId, Lucene\SearchIndexInterface $reader)
{
if (isset($this->_docVector[$docId])) {
return $reader->getSimilarity()->tf($this->_termFreqs[$docId]) * $this->_weight->getValue() * $reader->norm($docId, $this->_term->field) * $this->getBoost();
} else {
return 0;
}
}
/**
* Execute query in context of index reader
* It also initializes necessary internal structures
*
* @param \Zend\Search\Lucene\SearchIndexInterface $reader
* @param \Zend\Search\Lucene\Index\DocsFilter|null $docsFilter
*/
public function execute(Lucene\SearchIndexInterface $reader, $docsFilter = null)
{
$this->_resVector = null;
if (count($this->_terms) == 0) {
$this->_resVector = array();
}
$resVectors = array();
$resVectorsSizes = array();
$resVectorsIds = array();
// is used to prevent arrays comparison
foreach ($this->_terms as $termId => $term) {
$resVectors[] = array_flip($reader->termDocs($term));
$resVectorsSizes[] = count(end($resVectors));
$resVectorsIds[] = $termId;
$this->_termsPositions[$termId] = $reader->termPositions($term);
}
// sort resvectors in order of subquery cardinality increasing
array_multisort($resVectorsSizes, SORT_ASC, SORT_NUMERIC, $resVectorsIds, SORT_ASC, SORT_NUMERIC, $resVectors);
foreach ($resVectors as $nextResVector) {
if ($this->_resVector === null) {
$this->_resVector = $nextResVector;
} else {
//$this->_resVector = array_intersect_key($this->_resVector, $nextResVector);
/**
* This code is used as workaround for array_intersect_key() slowness problem.
*/
$updatedVector = array();
foreach ($this->_resVector as $id => $value) {
if (isset($nextResVector[$id])) {
$updatedVector[$id] = $value;
}
}
$this->_resVector = $updatedVector;
}
if (count($this->_resVector) == 0) {
// Empty result set, we don't need to check other terms
break;
}
}
// ksort($this->_resVector, SORT_NUMERIC);
// Docs are returned ordered. Used algorithm doesn't change elements order.
// Initialize weight if it's not done yet
$this->_initWeight($reader);
}
/**
* Re-write query into primitive queries in the context of specified index
*
* @param \Zend\Search\Lucene\SearchIndexInterface $index
* @throws \Zend\Search\Lucene\Exception\OutOfBoundsException
* @return \Zend\Search\Lucene\Search\Query\AbstractQuery
*/
public function rewrite(Lucene\SearchIndexInterface $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);
}
$prefix = Index\Term::getPrefix($this->_term->text, $this->_prefixLength);
$prefixByteLength = strlen($prefix);
$prefixUtf8Length = Index\Term::getLength($prefix);
$termLength = Index\Term::getLength($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);
$maxTerms = Lucene\Lucene::getTermsPerQueryLimit();
foreach ($fields as $field) {
$index->resetTermsStream();
if ($prefix != '') {
$index->skipTo(new Index\Term($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) * $scaleFactor;
if ($maxTerms != 0 && count($this->_matches) > $maxTerms) {
throw new OutOfBoundsException('Terms per query limit is reached.');
}
}
$index->nextTerm();
}
} else {
$index->skipTo(new 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) * $scaleFactor;
if ($maxTerms != 0 && count($this->_matches) > $maxTerms) {
throw new OutOfBoundsException('Terms per query limit is reached.');
}
}
$index->nextTerm();
}
}
$index->closeTermsStream();
}
if (count($this->_matches) == 0) {
return new EmptyResult();
} else {
if (count($this->_matches) == 1) {
return new Term(reset($this->_matches));
} else {
$rewrittenQuery = new Boolean();
array_multisort($this->_scores, SORT_DESC, SORT_NUMERIC, $this->_termKeys, SORT_ASC, SORT_STRING, $this->_matches);
$termCount = 0;
foreach ($this->_matches as $id => $matchedTerm) {
$subquery = new Term($matchedTerm);
$subquery->setBoost($this->_scores[$id]);
$rewrittenQuery->addSubquery($subquery);
$termCount++;
if ($termCount >= self::MAX_CLAUSE_COUNT) {
break;
}
}
return $rewrittenQuery;
}
}
}
/**
* Re-write query into primitive queries in the context of specified index
*
* @param \Zend\Search\Lucene\SearchIndexInterface $index
* @throws \Zend\Search\Lucene\Search\Exception\QueryParserException
* @return \Zend\Search\Lucene\Search\Query\AbstractQuery
*/
public function rewrite(Lucene\SearchIndexInterface $index)
{
if ($this->_field === null) {
$query = new Search\Query\Boolean();
$hasInsignificantSubqueries = false;
if (Lucene\Lucene::getDefaultSearchField() === null) {
$searchFields = $index->getFieldNames(true);
} else {
$searchFields = array(Lucene\Lucene::getDefaultSearchField());
}
foreach ($searchFields as $fieldName) {
$subquery = new self($this->_word, $this->_encoding, $fieldName, $this->_minimumSimilarity);
$rewrittenSubquery = $subquery->rewrite($index);
if (!($rewrittenSubquery instanceof Query\Insignificant || $rewrittenSubquery instanceof Query\EmptyResult)) {
$query->addSubquery($rewrittenSubquery);
}
if ($rewrittenSubquery instanceof Query\Insignificant) {
$hasInsignificantSubqueries = true;
}
}
$subqueries = $query->getSubqueries();
if (count($subqueries) == 0) {
$this->_matches = array();
if ($hasInsignificantSubqueries) {
return new Query\Insignificant();
} else {
return new Query\EmptyResult();
}
}
if (count($subqueries) == 1) {
$query = reset($subqueries);
}
$query->setBoost($this->getBoost());
$this->_matches = $query->getQueryTerms();
return $query;
}
// -------------------------------------
// Recognize exact term matching (it corresponds to Keyword fields stored in the index)
// encoding is not used since we expect binary matching
$term = new Index\Term($this->_word, $this->_field);
if ($index->hasTerm($term)) {
$query = new Query\Fuzzy($term, $this->_minimumSimilarity);
$query->setBoost($this->getBoost());
// Get rewritten query. Important! It also fills terms matching container.
$rewrittenQuery = $query->rewrite($index);
$this->_matches = $query->getQueryTerms();
return $rewrittenQuery;
}
// -------------------------------------
// 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) {
throw new QueryParserException('Fuzzy search doesn\'t support wildcards (except within Keyword fields).');
}
// -------------------------------------
// Recognize one-term multi-term and "insignificant" queries
$tokens = Analyzer\Analyzer::getDefault()->tokenize($this->_word, $this->_encoding);
if (count($tokens) == 0) {
$this->_matches = array();
return new Query\Insignificant();
}
if (count($tokens) == 1) {
$term = new Index\Term($tokens[0]->getTermText(), $this->_field);
$query = new Query\Fuzzy($term, $this->_minimumSimilarity);
$query->setBoost($this->getBoost());
// Get rewritten query. Important! It also fills terms matching container.
$rewrittenQuery = $query->rewrite($index);
$this->_matches = $query->getQueryTerms();
return $rewrittenQuery;
}
// Word is tokenized into several tokens
throw new QueryParserException('Fuzzy search is supported only for non-multiple word terms');
}