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)