Cleanup metric descriptors (#776)

monitoring/api/v3/custom_metric.py

@@ -74,10 +74,17 @@ def create_custom_metric(client, project_id,
         "displayName": "Custom Metric"
     }
 
-    client.projects().metricDescriptors().create(
+    return client.projects().metricDescriptors().create(
         name=project_id, body=metrics_descriptor).execute()
 
 
+def delete_metric_descriptor(
+        client, custom_metric_name):
+    """Delete a custom metric descriptor."""
+    client.projects().metricDescriptors().delete(
+        name=custom_metric_name).execute()
+
+
 def get_custom_metric(client, project_id, custom_metric_type):
     """Retrieve the custom metric we created"""
     request = client.projects().metricDescriptors().list(

monitoring/api/v3/custom_metric_test.py

@@ -26,8 +26,12 @@
 from gcp.testing import eventually_consistent
 from gcp.testing.flaky import flaky
 
-from custom_metric import create_custom_metric, get_custom_metric
-from custom_metric import read_timeseries, write_timeseries_value
+from custom_metric import create_custom_metric
+from custom_metric import delete_metric_descriptor
+from custom_metric import get_custom_metric
+from custom_metric import read_timeseries
+from custom_metric import write_timeseries_value
+
 import list_resources
 
 """ Custom metric domain for all custom metrics"""
@@ -53,7 +57,7 @@ def test_custom_metric(cloud_config):
     INSTANCE_ID = "test_instance"
     METRIC_KIND = "GAUGE"
 
-    create_custom_metric(
+    custom_metric_descriptor = create_custom_metric(
         client, PROJECT_RESOURCE, METRIC_RESOURCE, METRIC_KIND)
 
     # wait until metric has been created, use the get call to wait until
@@ -77,3 +81,5 @@ def _():
             response['timeSeries'][0]['points'][0]['value']['int64Value'])
         # using seed of 1 will create a value of 1
         assert value == pseudo_random_value
+
+    delete_metric_descriptor(client, custom_metric_descriptor['name'])