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Time series tests use random unique name to avoid limits #1776

Merged
merged 9 commits into from
Oct 19, 2018
11 changes: 8 additions & 3 deletions monitoring/api/v3/cloud-client/snippets.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright 2017 Google Inc.
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keep this copyright line


#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
Expand All @@ -15,17 +15,22 @@
import argparse
import os
import pprint
import random
import time

from google.cloud import monitoring_v3


# Avoid collisions with other runs
RANDOM_SUFFIX = str(random.randint(1000, 9999))


def create_metric_descriptor(project_id):
# [START monitoring_create_metric]
client = monitoring_v3.MetricServiceClient()
project_name = client.project_path(project_id)
descriptor = monitoring_v3.types.MetricDescriptor()
descriptor.type = 'custom.googleapis.com/my_metric'
descriptor.type = 'custom.googleapis.com/my_metric' + RANDOM_SUFFIX
descriptor.metric_kind = (
monitoring_v3.enums.MetricDescriptor.MetricKind.GAUGE)
descriptor.value_type = (
Expand All @@ -50,7 +55,7 @@ def write_time_series(project_id):
project_name = client.project_path(project_id)

series = monitoring_v3.types.TimeSeries()
series.metric.type = 'custom.googleapis.com/my_metric'
series.metric.type = 'custom.googleapis.com/my_metric' + RANDOM_SUFFIX
series.resource.type = 'gce_instance'
series.resource.labels['instance_id'] = '1234567890123456789'
series.resource.labels['zone'] = 'us-central1-f'
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