def add(self, labels, value):
"""Add adds a single observation to the summary."""
if type(value) not in (float, int):
raise TypeError("Summary only works with digits (int, float)")
# We have already a lock for data but not for the estimator
with mutex:
try:
e = self.get_value(labels)
except KeyError:
# Initialize quantile estimator
e = quantile.Estimator(*self.__class__.DEFAULT_INVARIANTS)
self.set_value(labels, e)
e.observe(float(value))
def add(self, labels: LabelsType, value: NumericValueType) -> None:
""" Add a single observation to the summary """
value = cast(Union[float, int], value) # typing check, no runtime behaviour.
if type(value) not in (float, int):
raise TypeError("Summary only works with digits (int, float)")
try:
e = self.get_value(labels)
except KeyError:
# Initialize quantile estimator
e = quantile.Estimator(*self.invariants)
self.set_value(labels, e)
e.observe(float(value)) # type: ignore
def _rotate(self):
"""
rotate the ring buffer when the time threshold has been exceeded.
Returns:
The quantile.Estimator from the current time window bucket.
"""
time_since_last_rotate_millis = time.time(
) * 1000 - self._last_rotate_timestamp_millis
while time_since_last_rotate_millis > self._duration_between_rotates_millis:
self._ring_buffer[self._current_bucket] = quantile.Estimator(
*self._quantiles)
self._current_bucket += 1
if self._current_bucket >= len(self._ring_buffer):
self._current_bucket = 0
time_since_last_rotate_millis -= self._duration_between_rotates_millis
self._last_rotate_timestamp_millis += self._duration_between_rotates_millis
return self._ring_buffer[self._current_bucket]