def _test_gauge_or_ms(self, metric_type, utcnow):
metric_name = "test_gauge_or_ms"
metric_key = metric_name + "|" + metric_type
utcnow.return_value = utils.datetime_utc(2015, 1, 7, 13, 58, 36)
self.server.datagram_received(
("%s:1|%s" % (metric_name, metric_type)).encode('ascii'),
("127.0.0.1", 12345))
self.stats.flush()
r = self.stats.indexer.get_resource('generic',
self.conf.statsd.resource_id,
with_metrics=True)
metric = r.get_metric(metric_key)
self.trigger_processing([metric])
measures = self.storage.get_aggregated_measures(
{metric: self.aggregations})[metric]
measures = get_measures_list(measures)
self.assertEqual(
{
"mean":
[(datetime64(2015, 1, 7), numpy.timedelta64(1, 'D'), 1.0),
(datetime64(2015, 1, 7, 13), numpy.timedelta64(1, 'h'), 1.0),
(datetime64(2015, 1, 7, 13, 58), numpy.timedelta64(1,
'm'), 1.0)]
}, measures)
utcnow.return_value = utils.datetime_utc(2015, 1, 7, 13, 59, 37)
# This one is going to be ignored
self.server.datagram_received(
("%s:45|%s" % (metric_name, metric_type)).encode('ascii'),
("127.0.0.1", 12345))
self.server.datagram_received(
("%s:2|%s" % (metric_name, metric_type)).encode('ascii'),
("127.0.0.1", 12345))
self.stats.flush()
self.trigger_processing([metric])
measures = self.storage.get_aggregated_measures(
{metric: self.aggregations})[metric]
measures = get_measures_list(measures)
self.assertEqual(
{
"mean":
[(datetime64(2015, 1, 7), numpy.timedelta64(1, 'D'), 1.5),
(datetime64(2015, 1, 7, 13), numpy.timedelta64(1, 'h'), 1.5),
(datetime64(2015, 1, 7, 13, 58), numpy.timedelta64(1,
'm'), 1.0),
(datetime64(2015, 1, 7, 13, 59), numpy.timedelta64(1,
'm'), 2.0)]
}, measures)
def test_counter(self, utcnow):
metric_name = "test_counter"
metric_key = metric_name + "|c"
utcnow.return_value = utils.datetime_utc(2015, 1, 7, 13, 58, 36)
self.server.datagram_received(("%s:1|c" % metric_name).encode('ascii'),
("127.0.0.1", 12345))
self.stats.flush()
r = self.stats.indexer.get_resource('generic',
self.conf.statsd.resource_id,
with_metrics=True)
metric = r.get_metric(metric_key)
self.assertIsNotNone(metric)
self.trigger_processing([metric])
measures = self.storage.get_aggregated_measures(
{metric: self.aggregations})[metric]
measures = get_measures_list(measures)
self.assertEqual(
{
"mean":
[(datetime64(2015, 1, 7), numpy.timedelta64(1, 'D'), 1.0),
(datetime64(2015, 1, 7, 13), numpy.timedelta64(1, 'h'), 1.0),
(datetime64(2015, 1, 7, 13, 58), numpy.timedelta64(1,
'm'), 1.0)]
}, measures)
utcnow.return_value = utils.datetime_utc(2015, 1, 7, 13, 59, 37)
self.server.datagram_received(
("%s:45|c" % metric_name).encode('ascii'), ("127.0.0.1", 12345))
self.server.datagram_received(
("%s:2|c|@0.2" % metric_name).encode('ascii'),
("127.0.0.1", 12345))
self.stats.flush()
self.trigger_processing([metric])
measures = self.storage.get_aggregated_measures(
{metric: self.aggregations})[metric]
measures = get_measures_list(measures)
self.assertEqual(
{
"mean":
[(datetime64(2015, 1, 7), numpy.timedelta64(1, 'D'), 28),
(datetime64(2015, 1, 7, 13), numpy.timedelta64(1, 'h'), 28),
(datetime64(2015, 1, 7, 13, 58), numpy.timedelta64(1,
'm'), 1.0),
(datetime64(2015, 1, 7, 13, 59), numpy.timedelta64(
1, 'm'), 55.0)]
}, measures)
def test_amqp1d(self, utcnow):
utcnow.return_value = utils.datetime_utc(2017, 1, 10, 13, 58, 36)
metrics = json.dumps([{
u'dstypes': [u'gauge'],
u'plugin': u'memory',
u'dsnames': [u'value'],
u'interval': 10.0,
u'host': u'www.gnocchi.test.com',
u'values': [9],
u'time': 1506712460.824,
u'plugin_instance': u'',
u'type_instance': u'free',
u'type': u'memory'
}, {
u'dstypes': [u'derive', u'derive'],
u'plugin': u'interface',
u'dsnames': [u'rx', u'tx'],
u'interval': 10.0,
u'host': u'www.gnocchi.test.com',
u'values': [2, 5],
u'time': 1506712460.824,
u'plugin_instance': u'ens2f1',
u'type_instance': u'',
u'type': u'if_errors'
}])
self.server.on_message(mock.Mock(message=mock.Mock(body=metrics)))
self.server.processor.flush()
resources = self.index.list_resources(
self.conf.amqp1d.resource_type,
attribute_filter={"=": {
"host": "www.gnocchi.test.com"
}})
self.assertEqual(1, len(resources))
self.assertEqual("www.gnocchi.test.com", resources[0].host)
metrics = self.index.list_metrics(
attribute_filter={'=': {
"resource_id": resources[0].id
}})
self.assertEqual(3, len(metrics))
self.trigger_processing(metrics)
expected_measures = {
"memory@memory-free":
[(datetime64(2017, 1, 10, 13, 58), numpy.timedelta64(1, 'm'), 9)],
"interface-ens2f1@if_errors-rx":
[(datetime64(2017, 1, 10, 13, 58), numpy.timedelta64(1, 'm'), 2)],
"interface-ens2f1@if_errors-tx": [(datetime64(2017, 1, 10, 13, 58),
numpy.timedelta64(1, 'm'), 5)]
}
for metric in metrics:
aggregation = metric.archive_policy.get_aggregation(
"mean", numpy.timedelta64(1, 'm'))
results = self.storage.get_aggregated_measures(
{metric: [aggregation]})[metric]
measures = get_measures_list(results)
self.assertEqual(expected_measures[metric.name], measures["mean"])