def test_document_from_metric_should_build_a_document_from_a_metric(self):
p0 = "foo"
p1 = "bar"
p2 = "baz"
metric_name = "%s.%s.%s" % (p0, p1, p2)
metric_id = uuid.uuid5(
uuid.UUID("{00000000-1111-2222-3333-444444444444}"), metric_name)
aggregator = Aggregator.maximum
retention_str = "42*1s:43*60s"
retention = Retention.from_string(retention_str)
carbon_xfilesfactor = 0.5
metadata = MetricMetadata.create(aggregator, retention,
carbon_xfilesfactor)
metric = bg_metric.Metric(
metric_name,
metric_id,
metadata,
created_on=datetime.datetime(2017, 1, 1),
updated_on=datetime.datetime(2018, 2, 2),
)
document = bg_elasticsearch.document_from_metric(metric)
self.__check_document_value(document, "depth", 2)
self.__check_document_value(document, "uuid", metric_id)
self.__check_document_value(document, "p0", p0)
self.__check_document_value(document, "p1", p1)
self.__check_document_value(document, "p2", p2)
self.assertTrue("config" in document)
document_config = document["config"]
self.__check_document_value(document_config, "aggregator",
aggregator.name)
self.__check_document_value(document_config, "retention",
retention_str)
self.__check_document_value(document_config, "carbon_xfilesfactor",
"%f" % carbon_xfilesfactor)
self.assertTrue("created_on" in document)
self.assertTrue(isinstance(document["created_on"], datetime.datetime))
self.assertEqual(metric.created_on, document["created_on"])
self.assertTrue("updated_on" in document)
self.assertTrue(isinstance(document["updated_on"], datetime.datetime))
self.assertEqual(metric.updated_on, document["updated_on"])
self.assertTrue("read_on" in document)
self.assertEqual(document["read_on"], None)
def test_document_from_metric_should_build_a_document_from_a_metric(self):
p0 = "foo"
p1 = "bar"
p2 = "baz"
metric_name = "%s.%s.%s" % (p0, p1, p2)
metric_id = uuid.uuid5(
uuid.UUID("{00000000-1111-2222-3333-444444444444}"), metric_name
)
aggregator = Aggregator.maximum
retention_str = "42*1s:43*60s"
retention = Retention.from_string(retention_str)
carbon_xfilesfactor = 0.5
metadata = MetricMetadata(aggregator, retention, carbon_xfilesfactor)
metric = bg_metric.Metric(
metric_name,
metric_id,
metadata,
created_on=datetime.datetime(2017, 1, 1),
updated_on=datetime.datetime(2018, 2, 2),
)
document = bg_elasticsearch.document_from_metric(metric)
self.__check_document_value(document, "depth", 2)
self.__check_document_value(document, "uuid", metric_id)
self.__check_document_value(document, "p0", p0)
self.__check_document_value(document, "p1", p1)
self.__check_document_value(document, "p2", p2)
self.assertTrue("config" in document)
document_config = document["config"]
self.__check_document_value(document_config, "aggregator", aggregator.name)
self.__check_document_value(document_config, "retention", retention_str)
self.__check_document_value(
document_config, "carbon_xfilesfactor", "%f" % carbon_xfilesfactor
)
self.assertTrue("created_on" in document)
self.assertTrue(isinstance(document["created_on"], datetime.datetime))
self.assertEqual(metric.created_on, document["created_on"])
self.assertTrue("updated_on" in document)
self.assertTrue(isinstance(document["updated_on"], datetime.datetime))
self.assertEqual(metric.updated_on, document["updated_on"])
self.assertTrue("read_on" in document)
self.assertEqual(document["read_on"], None)
def test_document_from_metric_should_throw_AttributeError_on_None_metric(self):
with self.assertRaises(AttributeError):
bg_elasticsearch.document_from_metric(None)
def test_document_from_metric_should_throw_AttributeError_on_None_metric(
self):
with self.assertRaises(AttributeError):
bg_elasticsearch.document_from_metric(None)