def values(self):
if self._values is None:
start_time = time.time()
self._values = []
rows = _session.execute(cqlstatements._bound_statements['parameter_timeseries'].bind(
(self._name, self._tag, self._p,)))
for r in rows:
cyclestamp = cassandra.util.datetime_from_uuid1(r[4])
self._values.append([cyclestamp, _convert_object_from_cassandra(r[0], [r[1], r[2], r[3]])])
self._values = np.array(sorted(list(self._values), key=lambda x: x[0]))
print("Data queried in %f seconds." % (time.time()-start_time,))
return self._values
def value(self):
if self._value is None:
if kepler._cache_flag:
with kepler._thread_lock:
if not self._cycles._get_caching(self._p):
self._cycles._set_caching(self._p)
ParameterData.cachingThread(self._cycles, self._p).start()
r = _session.execute(
cqlstatements._bound_statements["parameter_data"].bind((self._name, self._tag, self._id, self._p))
)
r = r[0]
self._value = _convert_object_from_cassandra(r[0], [r[1], r[2], r[3]])
return self._value
def _get_async_success(self, r):
if r is None:
print("Error retrieving a value for the cache")
r = r[0]
self._value = _convert_object_from_cassandra(r[0], [r[1], r[2], r[3]])
