/**
* Adds a document to this segment.
*
* @param \Zend\Search\Lucene\Document $document
* @throws \Zend\Search\Lucene\Exception
*/
public function addDocument(Document $document)
{
$storedFields = array();
$docNorms = array();
$similarity = Similarity::getDefault();
foreach ($document->getFieldNames() as $fieldName) {
$field = $document->getField($fieldName);
if ($field->storeTermVector) {
/**
* @todo term vector storing support
*/
throw new Lucene\Exception('Store term vector functionality is not supported yet.');
}
if ($field->isIndexed) {
if ($field->isTokenized) {
$analyzer = Analyzer\Analyzer::getDefault();
$analyzer->setInput($field->value, $field->encoding);
$position = 0;
$tokenCounter = 0;
while (($token = $analyzer->nextToken()) !== null) {
$tokenCounter++;
$term = new Index\Term($token->getTermText(), $field->name);
$termKey = $term->key();
if (!isset($this->_termDictionary[$termKey])) {
// New term
$this->_termDictionary[$termKey] = $term;
$this->_termDocs[$termKey] = array();
$this->_termDocs[$termKey][$this->_docCount] = array();
} else {
if (!isset($this->_termDocs[$termKey][$this->_docCount])) {
// Existing term, but new term entry
$this->_termDocs[$termKey][$this->_docCount] = array();
}
}
$position += $token->getPositionIncrement();
$this->_termDocs[$termKey][$this->_docCount][] = $position;
}
if ($tokenCounter == 0) {
// Field contains empty value. Treat it as non-indexed and non-tokenized
$field = clone $field;
$field->isIndexed = $field->isTokenized = false;
} else {
$docNorms[$field->name] = chr($similarity->encodeNorm($similarity->lengthNorm($field->name, $tokenCounter) * $document->boost * $field->boost));
}
} else {
if (($fieldUtf8Value = $field->getUtf8Value()) == '') {
// Field contains empty value. Treat it as non-indexed and non-tokenized
$field = clone $field;
$field->isIndexed = $field->isTokenized = false;
} else {
$term = new Index\Term($fieldUtf8Value, $field->name);
$termKey = $term->key();
if (!isset($this->_termDictionary[$termKey])) {
// New term
$this->_termDictionary[$termKey] = $term;
$this->_termDocs[$termKey] = array();
$this->_termDocs[$termKey][$this->_docCount] = array();
} else {
if (!isset($this->_termDocs[$termKey][$this->_docCount])) {
// Existing term, but new term entry
$this->_termDocs[$termKey][$this->_docCount] = array();
}
}
$this->_termDocs[$termKey][$this->_docCount][] = 0;
// position
$docNorms[$field->name] = chr($similarity->encodeNorm($similarity->lengthNorm($field->name, 1) * $document->boost * $field->boost));
}
}
}
if ($field->isStored) {
$storedFields[] = $field;
}
$this->addField($field);
}
foreach ($this->_fields as $fieldName => $field) {
if (!$field->isIndexed) {
continue;
}
if (!isset($this->_norms[$fieldName])) {
$this->_norms[$fieldName] = str_repeat(chr($similarity->encodeNorm($similarity->lengthNorm($fieldName, 0))), $this->_docCount);
}
if (isset($docNorms[$fieldName])) {
$this->_norms[$fieldName] .= $docNorms[$fieldName];
} else {
$this->_norms[$fieldName] .= chr($similarity->encodeNorm($similarity->lengthNorm($fieldName, 0)));
}
}
$this->addStoredFields($storedFields);
}
/**
* Returns norm vector, encoded in a byte string
*
* @param string $fieldName
* @return string
*/
public function normVector($fieldName)
{
$fieldNum = $this->getFieldNum($fieldName);
if ($fieldNum == -1 || !$this->_fields[$fieldNum]->isIndexed) {
$similarity = Similarity::getDefault();
return str_repeat(chr($similarity->encodeNorm($similarity->lengthNorm($fieldName, 0))), $this->_docCount);
}
if (!isset($this->_norms[$fieldNum])) {
$this->_loadNorm($fieldNum);
}
return $this->_norms[$fieldNum];
}
/**
* Retrive similarity used by index reader
*
* @return \Zend\Search\Lucene\Search\Similarity
*/
public function getSimilarity()
{
return Similarity::getDefault();
}