def test_is_timeseries_supported(self):
v = (2, 7, 11)
self.assertEqual(True, is_timeseries_supported(v))
v = (2, 7, 12)
self.assertEqual(True, is_timeseries_supported(v))
v = (3, 3, 6)
self.assertEqual(False, is_timeseries_supported(v))
v = (3, 4, 3)
self.assertEqual(False, is_timeseries_supported(v))
def test_conv_datetime_to_unix_millis(self):
# This is the "native" Python unix timestamp including
# microseconds, as float. timedelta "total_seconds()"
# returns a value like this
if is_timeseries_supported():
v = 144379690.987000
d = datetime.datetime.utcfromtimestamp(v)
utm = unix_time_millis(d)
self.assertEqual(utm, 144379690987)
else:
pass
def test_is_timeseries_supported(self):
v = (2, 7, 10)
self.assertEqual(True, is_timeseries_supported(v))
v = (2, 7, 11)
self.assertEqual(True, is_timeseries_supported(v))
v = (2, 7, 12)
self.assertEqual(True, is_timeseries_supported(v))
v = (3, 3, 6)
self.assertEqual(False, is_timeseries_supported(v))
v = (3, 4, 3)
self.assertEqual(False, is_timeseries_supported(v))
v = (3, 4, 4)
self.assertEqual(True, is_timeseries_supported(v))
v = (3, 4, 5)
self.assertEqual(True, is_timeseries_supported(v))
v = (3, 5, 0)
self.assertEqual(False, is_timeseries_supported(v))
v = (3, 5, 1)
self.assertEqual(True, is_timeseries_supported(v))
def test_unix_millis_small_value(self):
if is_timeseries_supported():
# this is what would be stored in Riak TS
v = 1001
dt = datetime_from_unix_time_millis(v)
# This is how Python represents the above
utp = 1.001
dtp = datetime.datetime.utcfromtimestamp(utp)
self.assertEqual(dt, dtp)
utm = unix_time_millis(dt)
self.assertEqual(v, utm)
else:
pass
def test_conv_ms_timestamp_to_datetime_and_back(self):
if is_timeseries_supported():
# this is what would be stored in Riak TS
v = 144379690987
dt = datetime_from_unix_time_millis(v)
# This is how Python represents the above
utp = 144379690.987000
dtp = datetime.datetime.utcfromtimestamp(utp)
self.assertEqual(dt, dtp)
utm = unix_time_millis(dt)
self.assertEqual(v, utm)
else:
pass
boolean_a = Atom('boolean')
table_name = 'GeoCheckin'
str0 = 'ascii-0'
str1 = 'ascii-1'
bd0 = six.u('时间序列')
bd1 = six.u('временные ряды')
fiveMins = datetime.timedelta(0, 300)
ts0 = datetime.datetime(2015, 1, 1, 12, 1, 2, 987000)
ts1 = ts0 + fiveMins
@unittest.skipUnless(is_timeseries_supported(), "Timeseries not supported")
class TimeseriesTtbUnitTests(unittest.TestCase):
def setUp(self):
self.table = Table(None, table_name)
def test_encode_data_for_get(self):
keylist = [
str_to_bytes('hash1'),
str_to_bytes('user2'),
unix_time_millis(ts0)
]
req = tsgetreq_a, str_to_bytes(table_name), keylist, udef_a
req_test = encode(req)
test_key = ['hash1', 'user2', ts0]
c = TtbCodec()
boolean_a = Atom('boolean')
table_name = 'GeoCheckin'
str0 = 'ascii-0'
str1 = 'ascii-1'
bd0 = six.u('时间序列')
bd1 = six.u('временные ряды')
fiveMins = datetime.timedelta(0, 300)
ts0 = datetime.datetime(2015, 1, 1, 12, 1, 2, 987000)
ts1 = ts0 + fiveMins
@unittest.skipUnless(is_timeseries_supported(), "Timeseries not supported")
class TimeseriesTtbUnitTests(unittest.TestCase):
def setUp(self):
self.table = Table(None, table_name)
def test_encode_data_for_get(self):
keylist = [
str_to_bytes('hash1'), str_to_bytes('user2'), unix_time_millis(ts0)
]
req = tsgetreq_a, str_to_bytes(table_name), keylist, udef_a
req_test = encode(req)
test_key = ['hash1', 'user2', ts0]
c = TtbCodec()
msg = c.encode_timeseries_keyreq(self.table, test_key)
self.assertEqual(req_test, msg.data)