class WordDocumentFeatureDistancesTestCase(unittest.TestCase):
def setUp(self):
with open('works_data/work_data.json', 'rb') as data_file:
data = data_file.read()
self.work = json.loads(data.decode('utf-8'))
self.wordDocumentDistances = WordDocument(self.work)
def test_get_work_item_value(self):
self.assertEqual('Nature Publishing Group'.lower(),
self.wordDocumentDistances.get_work_item_value(self.work,
'work▪publisher.work▪publisher▪name.val').lower())
self.assertEqual('New York, NY'.lower(),
self.wordDocumentDistances.
get_work_item_value(self.work,
'work▪publisher.work▪publisher▪placeOfPublication.val').lower())
self.assertEqual('USA'.lower(),
self.wordDocumentDistances.
get_work_item_value(self.work,
'work▪publicationCountry.work▪publicationCountry▪country.val').lower())
def test_get_root_st(self):
self.assertEqual('10', self.wordDocumentDistances.get_work_item_value(self.work, 'work▪publicationType.val'))
def test_get_work_item_value_multy(self):
value = self.wordDocumentDistances.get_work_item_value(self.work,
'work▪contributor.'
'work▪contributor▪contributorName.val').lower()
self.assertEqual('AMERICAN THERAPEUTIC SOCIETY.|AMERICAN SOCIETY FOR CLINICAL PHARMACOLOGY AND THE|'
'AMERICAN SOCIETY FOR PHARMACOLOGY AND EXPERIMENTAL|STEIN, C. MICHAEL'.lower(),
value)
def test_get_work_item_value_by_order_number(self):
value = self.wordDocumentDistances.get_work_item_value_filtered(self.work,
'work▪workTitle.work▪workTitle▪title#$1.val',
'work▪workTitle.work▪workTitle▪type.val=MAIN')
self.assertEqual('Clinical pharmacology and therapeutics'.lower(), value.lower())
def test_get_author(self):
value = self.wordDocumentDistances.get_work_item_value_filtered(self.work,
'work▪contributor.work▪contributor▪contributorName#$1.val',
'work▪contributor.work▪contributor▪contributorRole.val=2')
self.assertEqual('AMERICAN THERAPEUTIC SOCIETY.|'
'AMERICAN SOCIETY FOR CLINICAL PHARMACOLOGY AND THE|'
'AMERICAN SOCIETY FOR PHARMACOLOGY AND EXPERIMENTAL', value)
def setUp(self):
with open('works_data/work_data.json', 'rb') as data_file:
data = data_file.read()
self.work = json.loads(data.decode('utf-8'))
self.wordDocumentDistances = WordDocument(self.work)
