def test_update_metric_should_update_metric_metadata(self):
metric_name = "test_update_metric_should_update_metric_metadata.a.b.c"
initial_metadata = MetricMetadata.create(
aggregator=Aggregator.total,
retention=Retention.from_string("42*1s"),
carbon_xfilesfactor=0.5,
)
create_date = datetime.datetime(2014, 1, 1)
update_date = datetime.datetime(2018, 1, 1)
new_metadata = MetricMetadata.create(
aggregator=Aggregator.average,
retention=Retention.from_string("43*100s"),
carbon_xfilesfactor=0.25,
)
with freezegun.freeze_time(create_date):
metric = bg_test_utils.make_metric_with_defaults(
metric_name, initial_metadata)
self.accessor.create_metric(metric)
self.accessor.flush()
with freezegun.freeze_time(update_date):
self.accessor.update_metric(metric_name, new_metadata)
self.accessor.flush()
metric = self.accessor.get_metric(metric_name)
self.assertEqual(update_date, metric.updated_on)
self.assertEqual(new_metadata, metric.metadata)
def test_update_metric_should_update_metric_metadata(self):
metric_name = "test_update_metric_should_update_metric_metadata.a.b.c"
initial_metadata = MetricMetadata(
aggregator=Aggregator.total,
retention=Retention.from_string("42*1s"),
carbon_xfilesfactor=0.5,
)
create_date = datetime.datetime(2014, 1, 1)
update_date = datetime.datetime(2018, 1, 1)
new_metadata = MetricMetadata(
aggregator=Aggregator.average,
retention=Retention.from_string("43*100s"),
carbon_xfilesfactor=0.25,
)
with freezegun.freeze_time(create_date):
metric = bg_test_utils.make_metric(metric_name, initial_metadata)
self.accessor.create_metric(metric)
self.accessor.flush()
with freezegun.freeze_time(update_date):
self.accessor.update_metric(metric_name, new_metadata)
self.accessor.flush()
metric = self.accessor.get_metric(metric_name)
self.assertEqual(update_date, metric.updated_on)
self.assertEqual(new_metadata, metric.metadata)
def _create_default_metadata():
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)
return metadata
def _create_default_metadata():
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)
return metadata
class TestCommandStats(bg_test_utils.TestCaseWithFakeAccessor):
metrics = ["metric1", "metric2"]
metadata = MetricMetadata.create(retention=Retention.from_string("1440*60s"))
@patch("sys.stdout", new_callable=StringIO)
def get_output(self, args, mock_stdout):
self.accessor.drop_all_metrics()
for metric in self.metrics:
self.accessor.create_metric(
bg_test_utils.make_metric(metric, self.metadata)
)
cmd = command_stats.CommandStats()
parser = argparse.ArgumentParser(add_help=False)
bg_settings.add_argparse_arguments(parser)
cmd.add_arguments(parser)
opts = parser.parse_args(args)
cmd.run(self.accessor, opts)
return mock_stdout.getvalue()
def test_simple(self):
output = self.get_output([])
self.assertIn("Namespace Metrics Points", output)
self.assertIn("2 2880", output)
def test_graphite(self):
output = self.get_output(["--format", "graphite"])
self.assertIn("metrics.total 2", output)
self.assertIn("points.total 2880", output)
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)
class TestCommandDu(bg_test_utils.TestCaseWithFakeAccessor):
metrics = ["metric1", "metric2"]
metadata = MetricMetadata(retention=Retention.from_string("1440*60s"))
@patch("sys.stdout", new_callable=StringIO)
def get_output(self, args, mock_stdout):
self.accessor.drop_all_metrics()
for metric in self.metrics:
self.accessor.create_metric(
bg_test_utils.make_metric(metric, self.metadata)
)
cmd = command_du.CommandDu()
parser = argparse.ArgumentParser(add_help=False)
bg_settings.add_argparse_arguments(parser)
cmd.add_arguments(parser)
opts = parser.parse_args(args)
cmd.run(self.accessor, opts)
return mock_stdout.getvalue()
def test_1_metric_default_args(self):
output = self.get_output(["-h", "-s", "metric1"])
self.assertIn("metric1", output)
self.assertIn("33.8K", output)
def test_glob_default_args(self):
output = self.get_output(["-h", "-s", "*"])
for elmt in self.metrics + ["33.8K", "67.5K", "TOTAL"]:
self.assertIn(elmt, output)
def test_glob_no_unit_no_total(self):
output = self.get_output(["*"])
self.assertIn("34560", output)
self.assertNotIn("TOTAL", output)
def test_human_size(self):
du = command_du.CommandDu()
self.assertEqual(du._human_size_of_points(1), "24B")
self.assertEqual(
du._human_size_of_points(1023 // command_du._BYTES_PER_POINT), "1008B"
)
self.assertEqual(
du._human_size_of_points(1024 // (command_du._BYTES_PER_POINT - 1)), "1.0K"
)
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)
