def test_numeric_value_numpy(self):
np = pytest.importorskip("numpy")
d = {
"type": "verta.numericValue.v1",
"numericValue": {
"value": 42,
},
}
attr = data_types.NumericValue(np.float32(42))
assert attr._as_dict() == d
attr = data_types.NumericValue(np.array(42))
assert attr._as_dict() == d
def test_aggregate_summary_samples(self, class_client, numeric_summary,
numeric_samples):
found_samples = numeric_summary.find_samples(
SummarySampleQuery(aggregation=Aggregation("1d", "sum")))
assert len(found_samples) == 1
aggregated_sample = found_samples[0]
assert aggregated_sample.content == data_types.NumericValue(
sum(self.values))
def test_numeric_value(self):
attr = data_types.NumericValue(42)
d = {
"type": "verta.numericValue.v1",
"numericValue": {
"value": 42,
},
}
assert attr._as_dict() == d
assert attr == data_types._VertaDataType._from_dict(d)
def test_numeric_value_with_unit(self):
attr = data_types.NumericValue(14, unit="lbs")
d = {
"type": "verta.numericValue.v1",
"numericValue": {
"value": 14,
"unit": "lbs",
},
}
assert attr._as_dict() == d
assert attr == data_types._VertaDataType._from_dict(d)
def summary_sample(client, summary):
end_time = time_utils.now()
start_time = end_time - datetime.timedelta(hours=1)
sample = summary.log_sample(
data_types.NumericValue(3),
{"foo": "bar"},
start_time,
end_time,
)
return sample
def summary_sample(client, monitored_entity, created_entities):
summary = client.operations.summaries.create(
_utils.generate_default_name(),
data_types.NumericValue,
monitored_entity,
)
end_time = time_utils.now()
start_time = end_time - datetime.timedelta(hours=1)
sample = summary.log_sample(
data_types.NumericValue(3), {"foo": "bar"},
start_time, end_time,
)
yield sample
# TODO: use `created_entities` if/when Summary reimplements delete()
client.operations.summaries.delete([summary])
