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# Licensed to the Apache Software Foundation (ASF) under one or more
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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# pytype: skip-file
import unittest
from apache_beam.metrics import monitoring_infos
from apache_beam.metrics.cells import CounterCell
from apache_beam.metrics.cells import GaugeCell
class MonitoringInfosTest(unittest.TestCase):
def test_parse_namespace_and_name_for_nonuser_metric(self):
input = monitoring_infos.create_monitoring_info(
"beam:dummy:metric", "typeurn", None)
namespace, name = monitoring_infos.parse_namespace_and_name(input)
self.assertEqual(namespace, "beam")
self.assertEqual(name, "dummy:metric")
def test_parse_namespace_and_name_for_user_counter_metric(self):
urn = monitoring_infos.USER_COUNTER_URN
labels = {}
labels[monitoring_infos.NAMESPACE_LABEL] = "counternamespace"
labels[monitoring_infos.NAME_LABEL] = "countername"
input = monitoring_infos.create_monitoring_info(
urn, "typeurn", None, labels)
namespace, name = monitoring_infos.parse_namespace_and_name(input)
self.assertEqual(namespace, "counternamespace")
self.assertEqual(name, "countername")
def test_parse_namespace_and_name_for_user_distribution_metric(self):
urn = monitoring_infos.USER_DISTRIBUTION_URN
labels = {}
labels[monitoring_infos.NAMESPACE_LABEL] = "counternamespace"
labels[monitoring_infos.NAME_LABEL] = "countername"
input = monitoring_infos.create_monitoring_info(
urn, "typeurn", None, labels)
namespace, name = monitoring_infos.parse_namespace_and_name(input)
self.assertEqual(namespace, "counternamespace")
self.assertEqual(name, "countername")
def test_parse_namespace_and_name_for_user_gauge_metric(self):
urn = monitoring_infos.USER_GAUGE_URN
labels = {}
labels[monitoring_infos.NAMESPACE_LABEL] = "counternamespace"
labels[monitoring_infos.NAME_LABEL] = "countername"
input = monitoring_infos.create_monitoring_info(
urn, "typeurn", None, labels)
namespace, name = monitoring_infos.parse_namespace_and_name(input)
self.assertEqual(namespace, "counternamespace")
self.assertEqual(name, "countername")
def test_int64_user_gauge(self):
metric = GaugeCell().get_cumulative()
result = monitoring_infos.int64_user_gauge(
'gaugenamespace', 'gaugename', metric)
_, gauge_value = monitoring_infos.extract_gauge_value(result)
self.assertEqual(0, gauge_value)
def test_int64_user_counter(self):
expected_labels = {}
expected_labels[monitoring_infos.NAMESPACE_LABEL] = "counternamespace"
expected_labels[monitoring_infos.NAME_LABEL] = "countername"
metric = CounterCell().get_cumulative()
result = monitoring_infos.int64_user_counter(
'counternamespace', 'countername', metric)
counter_value = monitoring_infos.extract_counter_value(result)
self.assertEqual(0, counter_value)
self.assertEqual(result.labels, expected_labels)
def test_int64_counter(self):
expected_labels = {}
expected_labels[monitoring_infos.PCOLLECTION_LABEL] = "collectionname"
expected_labels[monitoring_infos.PTRANSFORM_LABEL] = "ptransformname"
expected_labels[monitoring_infos.SERVICE_LABEL] = "BigQuery"
labels = {
monitoring_infos.SERVICE_LABEL: "BigQuery",
}
metric = CounterCell().get_cumulative()
result = monitoring_infos.int64_counter(
monitoring_infos.API_REQUEST_COUNT_URN,
metric,
ptransform="ptransformname",
pcollection="collectionname",
labels=labels)
counter_value = monitoring_infos.extract_counter_value(result)
self.assertEqual(0, counter_value)
self.assertEqual(result.labels, expected_labels)
if __name__ == '__main__':
unittest.main()