recommender.test in Recommender API 7.3

File

recommender.test

<?php

class RecommenderTestCase extends DrupalWebTestCase {
  public function getInfo() {
    return array(
      'name' => t('Recommender API basic test'),
      'description' => t('Test functions of Recommender API'),
      'group' => t('Recommendation'),
    );
  }
  public function setUp() {

    //parent::setUp('recommender', 'async_command');
    parent::setUp('recommender');

    // grouplens data, (Resnick et al, 1994)
    db_truncate('recommender_preference_staging');
    db_query("INSERT INTO {recommender_preference_staging}(source_eid, target_eid, score) VALUES\n        (1,1,1),(1,2,5),(1,4,2),(1,5,4),\n        (2,1,4),(2,2,2),(2,4,5),(2,5,1),(2,6,2),\n        (3,1,2),(3,2,4),(3,3,3),(3,6,5),\n        (4,1,2),(4,2,4),(4,4,5),(4,5,1)");
    recommender_app_register($this
      ->getApps());
  }
  public function tearDown() {

    //db_truncate('recommender_preference_staging');

    //recommender_app_unregister(array_keys($this->getApps()));
    parent::tearDown();

    // note: has to call this, or otherwise it'll cause exceptions.
  }

  /*public function assertEqualX($first, $second, $message = '', $group = 'Other') {
      $diff = $first - $second;
      return $this->assertTrue(!is_nan($first) && !is_nan($second) && abs($diff)<0.0001, $message, $group);
    }*/
  private function getApps() {
    return array(
      'test_item2item' => array(
        'title' => t('Test recommender item2item'),
        'params' => array(
          'algorithm' => 'item2item',
          'table' => '{recommender_preference_staging}',
          'fields' => array(
            'source_eid',
            'target_eid',
            'score',
            'updated',
          ),
          'entity_type' => array(
            'similarity' => array(
              'node',
              'node',
            ),
            'prediction' => array(
              'users',
              'node',
            ),
          ),
          'performance' => 'memory',
          'preference' => 'score',
        ),
      ),
      'test_user2user' => array(
        'title' => t('Test recommender user2user'),
        'params' => array(
          'algorithm' => 'user2user',
          'table' => '{recommender_preference_staging}',
          'fields' => array(
            'source_eid',
            'target_eid',
            'score',
            'updated',
          ),
          'entity_type' => array(
            'similarity' => array(
              'node',
              'node',
            ),
            'prediction' => array(
              'users',
              'node',
            ),
          ),
          'performance' => 'database',
          'preference' => 'score',
        ),
      ),
    );
  }

  // test basic app functions
  function testAppFunctions() {
    $id1 = recommender_app_load('test_item2item', TRUE);
    $id2 = db_query('SELECT id FROM {recommender_app} WHERE name=:name', array(
      ':name' => 'test_item2item',
    ))
      ->fetchField();
    $this
      ->assertEqual($id1, $id2);
    $app = recommender_app_load('test_user2user');
    $this
      ->assertEqual($app['params']['performance'], 'database');
    recommender_app_update('test_user2user', array(
      'performance' => 'memory',
    ));
    $app = recommender_app_load('test_user2user');
    $this
      ->assertEqual($app['params']['performance'], 'memory');
    recommender_app_update('test_user2user', array(
      'preference' => 'database',
    ));
  }

  /*function testItem2Item() {
      $app_id = recommender_app_load('test_item2item', TRUE);
      recommender_create_command('test_item2item');
      echo shell_exec(drupal_get_path('module', 'recommender') .'/run.sh');

      $rows = db_query('SELECT * FROM {recommender_similarity} WHERE app_id=:app_id', array(':app_id' => $app_id));
      $this->assertTrue($rows->rowCount() > 0);

      $rows = db_query('SELECT * FROM {recommender_prediction} WHERE app_id=:app_id', array(':app_id' => $app_id));
      $this->assertTrue($rows->rowCount() > 0);
    }*/

  /*function testUser2User() {
      $app_id = recommender_app_load('test_user2user', TRUE);
      recommender_create_command('test_user2user');
      echo shell_exec(drupal_get_path('module', 'recommender') .'/run.sh');

      $rows = db_query('SELECT * FROM {recommender_similarity} WHERE app_id=:app_id', array(':app_id' => $app_id));
      $this->assertTrue($rows->rowCount() > 0);

      $rows = db_query('SELECT * FROM {recommender_prediction} WHERE app_id=:app_id', array(':app_id' => $app_id));
      $this->assertTrue($rows->rowCount() > 0);
    }*/
  function testCron() {

    // do nothing for now.
  }

}

Classes

Name	Description
RecommenderTestCase