def to_point_value(self):
"""Get a point value conversion of the current value.
:rtype: :class:`opencensus.metrics.export.value.ValueDouble`
:return: A converted `ValueDouble`.
"""
return value_module.ValueDouble(self.value)
def to_point(self, timestamp):
"""Get a Point conversion of this aggregation.
:type timestamp: :class: `datetime.datetime`
:param timestamp: The time to report the point as having been recorded.
:rtype: :class: `opencensus.metrics.export.point.Point`
:return: a :class: `opencensus.metrics.export.value.ValueDouble`-valued
Point with value equal to `sum_data`.
"""
return point.Point(value.ValueDouble(self.sum_data), timestamp)
def test_check_points_type(self):
ts = time_series.TimeSeries(LABEL_VALUES, POINTS, START_TIMESTAMP)
self.assertTrue(ts.check_points_type(value.ValueLong))
bad_points = POINTS + (point.Point(value.ValueDouble(6.0),
"2018-10-10T04:33:44.012345Z"), )
bad_time_series = time_series.TimeSeries(LABEL_VALUES, bad_points,
START_TIMESTAMP)
self.assertFalse(bad_time_series.check_points_type(value.ValueLong))
self.assertFalse(bad_time_series.check_points_type(value.ValueLong))
def setUp(self):
self.double_value = value_module.ValueDouble(55.5)
self.long_value = value_module.ValueLong(9876543210)
self.timestamp = '2018-10-06T17:57:57.936475Z'
value_at_percentile = [summary_module.ValueAtPercentile(99.5, 10.2)]
snapshot = summary_module.Snapshot(10, 87.07, value_at_percentile)
self.summary = summary_module.Summary(10, 6.6, snapshot)
self.summary_value = value_module.ValueSummary(self.summary)
self.distribution_value = value_module.ValueDistribution(
100,
1000.0,
10.0,
value_module.BucketOptions(
value_module.Explicit(list(range(1, 10)))),
[value_module.Bucket(10, None) for ii in range(10)],
)
def test_create_double_value(self):
double_value = value_module.ValueDouble(-34.56)
self.assertIsNotNone(double_value)
self.assertIsInstance(double_value, value_module.ValueDouble)
self.assertEqual(double_value.value, -34.56)
