def test_torque_load_nq(self):
nq_file = "test/test-data/100lines.nq"
if os.path.exists("test-data/100lines.nq"):
nq_file = "test-data/100lines.nq"
g = Graph(graph_name="movies3", cog_path_prefix="/tmp/" + DIR_NAME)
g.load_triples(nq_file, 'movies3')
res = g.v("</en/joe_palma>").inc(["</film/performance/actor>"]).count()
g.close()
self.assertEqual(res, 7)
#reload test
g2 = Graph(graph_name="movies3", cog_path_prefix="/tmp/" + DIR_NAME)
res2 = g2.v("</en/joe_palma>").inc(["</film/performance/actor>"
]).count()
g2.close()
self.assertEqual(res2, 7, "reload test failed.")
def test_torque_load_csv(self):
csv_file = "test/test-data/books.csv"
if os.path.exists("test-data/books.csv"):
csv_file = "test-data/books.csv"
g = Graph(graph_name="books5")
g.load_csv(csv_file, "isbn")
# print(g.scan())
actual = g.scan(20, 'e')
expected = {
'result': [{
'id': 'ratings_4'
}, {
'id': 'best_book_id'
}, {
'id': 'work_text_reviews_count'
}, {
'id': 'original_publication_year'
}, {
'id': 'average_rating'
}, {
'id': 'ratings_1'
}, {
'id': 'language_code'
}, {
'id': 'image_url'
}, {
'id': 'books_count'
}, {
'id': 'work_ratings_count'
}, {
'id': 'isbn13'
}, {
'id': 'title'
}, {
'id': 'ratings_5'
}, {
'id': 'ratings_3'
}, {
'id': 'small_image_url'
}, {
'id': 'ratings_count'
}, {
'id': 'isbn'
}, {
'id': 'book_id'
}, {
'id': 'authors'
}, {
'id': 'ratings_2'
}]
}
self.assertTrue(actual == expected)
self.assertTrue(
ordered(g.v('Kathryn Stockett').inc().out("title").all()) ==
ordered({'result': [{
'id': 'The Help'
}]}))
g.close()