def set(self, value, fields=None):
if not isinstance(value, (float, int)):
raise errors.MonitoringInvalidValueTypeError(self._name, value)
if value < self.get(fields):
raise errors.MonitoringDecreasingValueError(
self._name, self.get(fields), value)
self._set_and_send_value(float(value), fields)
def set(self, value, fields=None):
"""Replaces the distribution with the given fields with another one.
This only makes sense on non-cumulative DistributionMetrics.
Args:
value: A infra_libs.ts_mon.Distribution.
"""
if self.is_cumulative:
raise TypeError(
'Cannot set() a cumulative DistributionMetric (use add() instead)'
)
if not isinstance(value, distribution.Distribution):
raise errors.MonitoringInvalidValueTypeError(self._name, value)
self._set_and_send_value(value, fields)
def set(self, value, fields=None):
if not isinstance(value, (int, long)):
raise errors.MonitoringInvalidValueTypeError(self._name, value)
self._set_and_send_value(value, fields)
def test_invalid_value_type(self):
with self.assertRaises(errors.MonitoringInvalidValueTypeError) as e:
raise errors.MonitoringInvalidValueTypeError('test', 'foo')
str(e.exception)
