class TestDataSet(unittest.TestCase):
def setUp(self):
self.dataSet = DataManager()
def tearDown(self):
pass
def test_read_and_write_data_frame(self):
# TODO: Better way to test this
print 'Read and Write Data Frame to HDF5 file'
hdf5_file = '/tmp/test.h5'
node_name = 'SomeNodeName'
df = pandas.DataFrame(np.random.randn(100, 4), columns=list('ABCD'))
self.dataSet.write_df_to_store(node_name, df, hdf5_file)
self.assertTrue(self.dataSet.check_if_node_already_exists(node_name, hdf5_file))
read_df = self.dataSet.read_df_from_store(node_name, hdf5_file)
assert_frame_equal(df.sort(axis=1), read_df.sort(axis=1), check_names=True)
def test_fetch_data_from_vertica_to_df(self):
# TODO: Better way to test this
print "Get data from Vertica and save it to Data Frame"
query = """SELECT
client_id,
position_id,
visited_domains
FROM
train.base_training_data
WHERE
log_time_hour = '2015-04-14 00:00:00' LIMIT 100"""
df = self.dataSet.fetch_from_vertica_to_df(query)
self.assertEquals(len(df), 100)
def setUp(self):
self.dataSet = DataManager()