blob: 56020f6d2cd58aa947288258cf7670c018c00673 [file] [log] [blame]
#!/usr/bin/env python3
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with 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 distributed under the License is distributed on an
# "AS IS" BASIS, 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.
import time
import click
import requests
from google.cloud import monitoring_v3
DEFAULT_PROJECT = 'apache-airflow-ci-cd'
DEFAULT_ZONE = 'us-central1-a'
CUSTOM_METRICS_TYPE = 'custom.googleapis.com/github-actions/jobs-running'
@click.command()
@click.option('--project', default=DEFAULT_PROJECT)
@click.option('--instance')
@click.option('--value', type=int, default=1)
def main(project: str, instance: str, value):
client = monitoring_v3.MetricServiceClient()
project_name = f"projects/{project}"
if not instance:
instance = requests.get(
"http://metadata/computeMetadata/v1/instance/id", headers={'Metadata-Flavor': 'Google'}
).text
series = monitoring_v3.TimeSeries()
series.metric.type = CUSTOM_METRICS_TYPE
series.resource.type = "gce_instance"
series.resource.labels["instance_id"] = instance
series.resource.labels["zone"] = DEFAULT_ZONE
now = time.time()
seconds = int(now)
nanos = int((now - seconds) * 10 ** 9)
interval = monitoring_v3.TimeInterval({"end_time": {"seconds": seconds, "nanos": nanos}})
point = monitoring_v3.Point({"interval": interval, "value": {"int64_value": value}})
series.points = [point]
client.create_time_series(name=project_name, time_series=[series])
print(f"Reported {CUSTOM_METRICS_TYPE} with value {value}")
if __name__ == '__main__':
main()