def test_ungrouped_batcher_process_exists(self):
meter = metrics.MeterProvider().get_meter(__name__)
batcher = UngroupedBatcher(True)
aggregator = CounterAggregator()
aggregator2 = CounterAggregator()
metric = metrics.Counter(
"available memory",
"available memory",
"bytes",
int,
meter,
("environment", ),
)
label_set = metrics.LabelSet()
_batch_map = {}
_batch_map[(metric, label_set)] = aggregator
aggregator2.update(1.0)
batcher._batch_map = _batch_map
record = metrics.Record(metric, label_set, aggregator2)
batcher.process(record)
self.assertEqual(len(batcher._batch_map), 1)
self.assertIsNotNone(batcher._batch_map.get((metric, label_set)))
self.assertEqual(
batcher._batch_map.get((metric, label_set)).current, 0)
self.assertEqual(
batcher._batch_map.get((metric, label_set)).checkpoint, 1.0)
def test_finished_collection_stateless(self):
meter = metrics.MeterProvider().get_meter(__name__)
batcher = UngroupedBatcher(False)
aggregator = CounterAggregator()
metric = metrics.Counter(
"available memory",
"available memory",
"bytes",
int,
meter,
("environment", ),
)
aggregator.update(1.0)
label_set = metrics.LabelSet()
_batch_map = {}
_batch_map[(metric, label_set)] = aggregator
batcher._batch_map = _batch_map
batcher.finished_collection()
self.assertEqual(len(batcher._batch_map), 0)
def test_checkpoint_set(self):
meter = metrics.MeterProvider().get_meter(__name__)
batcher = UngroupedBatcher(True)
aggregator = CounterAggregator()
metric = metrics.Counter(
"available memory",
"available memory",
"bytes",
int,
meter,
("environment", ),
)
aggregator.update(1.0)
label_set = metrics.LabelSet()
_batch_map = {}
_batch_map[(metric, label_set)] = aggregator
batcher._batch_map = _batch_map
records = batcher.checkpoint_set()
self.assertEqual(len(records), 1)
self.assertEqual(records[0].metric, metric)
self.assertEqual(records[0].label_set, label_set)
self.assertEqual(records[0].aggregator, aggregator)
def test_ungrouped_batcher_process_not_stateful(self):
meter = metrics.MeterProvider().get_meter(__name__)
batcher = UngroupedBatcher(True)
aggregator = SumAggregator()
metric = metrics.Counter(
"available memory",
"available memory",
"bytes",
int,
meter,
("environment", ),
)
labels = ()
_batch_map = {}
aggregator.update(1.0)
batcher._batch_map = _batch_map
record = metrics.Record(metric, labels, aggregator)
batcher.process(record)
self.assertEqual(len(batcher._batch_map), 1)
self.assertIsNotNone(batcher._batch_map.get((metric, labels)))
self.assertEqual(batcher._batch_map.get((metric, labels)).current, 0)
self.assertEqual(
batcher._batch_map.get((metric, labels)).checkpoint, 1.0)