use TeamTNT\TNTSearch\TNTSearch;

$tnt = new TNTSearch;

$tnt->loadConfig([
    'driver'    => 'mysql',
    'host'      => 'localhost',
    'database'  => 'dbname',
    'username'  => 'user',
    'password'  => 'pass',
    'storage'   => '/var/www/tntsearch/examples/',
    'stemmer'   => \TeamTNT\TNTSearch\Stemmer\PorterStemmer::class//optional
]);

$indexer = $tnt->createIndex('name.index');
$indexer->query('SELECT id, article FROM articles;');
//$indexer->setLanguage('german');
$indexer->run();

$indexer->setPrimaryKey('article_id');

$indexer->includePrimaryKey();

use TeamTNT\TNTSearch\TNTSearch;

$tnt = new TNTSearch;

$tnt->loadConfig($config);
$tnt->selectIndex("name.index");

$res = $tnt->search("This is a test search", 12);

print_r($res); //returns an array of 12 document ids that best match your query

// to display the results you need an additional query against your application database
// SELECT * FROM articles WHERE id IN $res ORDER BY FIELD(id, $res);

use TeamTNT\TNTSearch\TNTSearch;

$tnt = new TNTSearch;

$tnt->loadConfig($config);
$tnt->selectIndex("name.index");

//this will return all documents that have romeo in it but not juliet
$res = $tnt->searchBoolean("romeo -juliet");

//returns all documents that have romeo or hamlet in it
$res = $tnt->searchBoolean("romeo or hamlet");

//returns all documents that have either romeo AND juliet or prince AND hamlet
$res = $tnt->searchBoolean("(romeo juliet) or (prince hamlet)");

public $fuzzy_prefix_length  = 2;
public $fuzzy_max_expansions = 50;
public $fuzzy_distance       = 2; //represents the Levenshtein distance;

use TeamTNT\TNTSearch\TNTSearch;

$tnt = new TNTSearch;

$tnt->loadConfig($config);
$tnt->selectIndex("name.index");
$tnt->fuzziness = true;

//when the fuzziness flag is set to true, the keyword juleit will return
//documents that match the word juliet, the default Levenshtein distance is 2
$res = $tnt->search("juleit");

use TeamTNT\TNTSearch\TNTSearch;

$tnt = new TNTSearch;

$tnt->loadConfig($config);
$tnt->selectIndex("name.index");

$index = $tnt->getIndex();

//to insert a new document to the index
$index->insert(['id' => '11', 'title' => 'new title', 'article' => 'new article']);

//to update an existing document
$index->update(11, ['id' => '11', 'title' => 'updated title', 'article' => 'updated article']);

//to delete the document from index
$index->delete(12);

use TeamTNT\TNTSearch\Support\AbstractTokenizer;
use TeamTNT\TNTSearch\Support\TokenizerInterface;

class SomeTokenizer extends AbstractTokenizer implements TokenizerInterface
{
    static protected $pattern = '/[\s,\.]+/';

    public function tokenize($text) {
        return preg_split($this->getPattern(), strtolower($text), -1, PREG_SPLIT_NO_EMPTY);
    }
}

$someTokenizer = new SomeTokenizer;

$indexer = new TNTIndexer;
$indexer->setTokenizer($someTokenizer);

use TeamTNT\TNTSearch\TNTSearch;

$tnt = new TNTSearch;

$tnt->loadConfig([
    'driver'    => 'mysql',
    'host'      => 'localhost',
    'database'  => 'dbname',
    'username'  => 'user',
    'password'  => 'pass',
    'storage'   => '/var/www/tntsearch/examples/',
    'stemmer'   => \TeamTNT\TNTSearch\Stemmer\PorterStemmer::class//optional,
    'tokenizer' => \TeamTNT\TNTSearch\Support\SomeTokenizer::class
]);

$indexer = $tnt->createIndex('name.index');
$indexer->query('SELECT id, article FROM articles;');
$indexer->run();

$candyShopIndexer = new TNTGeoIndexer;
$candyShopIndexer->loadConfig($config);
$candyShopIndexer->createIndex('candyShops.index');
$candyShopIndexer->query('SELECT id, longitude, latitude FROM candy_shops;');
$candyShopIndexer->run();

$currentLocation = [
    'longitude' => 11.576124,
    'latitude'  => 48.137154
];

$distance = 2; //km

$candyShopIndex = new TNTGeoSearch();
$candyShopIndex->loadConfig($config);
$candyShopIndex->selectIndex('candyShops.index');

$candyShops = $candyShopIndex->findNearest($currentLocation, $distance, 10);

use TeamTNT\TNTSearch\Classifier\TNTClassifier;

$classifier = new TNTClassifier();
$classifier->learn("A great game", "Sports");
$classifier->learn("The election was over", "Not sports");
$classifier->learn("Very clean match", "Sports");
$classifier->learn("A clean but forgettable game", "Sports");

$guess = $classifier->predict("It was a close election");
var_dump($guess['label']); //returns "Not sports"

$classifier->save('sports.cls');

$classifier = new TNTClassifier();
$classifier->load('sports.cls');