mirror of
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165 lines
4.7 KiB
Python
165 lines
4.7 KiB
Python
#!/usr/bin/env python3
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"""
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Lambda function to:
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- calculate number of running runners
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- cleaning dead runners from GitHub
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- terminating stale lost runners in EC2
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"""
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import argparse
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import sys
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from typing import Dict
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import boto3 # type: ignore
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from lambda_shared import RUNNER_TYPE_LABELS, RunnerDescriptions, list_runners
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from lambda_shared.token import (
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get_access_token_by_key_app,
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get_cached_access_token,
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get_key_and_app_from_aws,
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)
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UNIVERSAL_LABEL = "universal"
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def handler(event, context):
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_ = event
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_ = context
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main(get_cached_access_token(), True)
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def group_runners_by_tag(
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listed_runners: RunnerDescriptions,
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) -> Dict[str, RunnerDescriptions]:
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result = {} # type: Dict[str, RunnerDescriptions]
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def add_to_result(tag, runner):
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if tag not in result:
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result[tag] = []
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result[tag].append(runner)
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for runner in listed_runners:
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if UNIVERSAL_LABEL in runner.tags:
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# Do not proceed other labels if UNIVERSAL_LABEL is included
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add_to_result(UNIVERSAL_LABEL, runner)
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continue
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for tag in runner.tags:
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if tag in RUNNER_TYPE_LABELS:
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add_to_result(tag, runner)
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break
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else:
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add_to_result("unlabeled", runner)
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return result
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def push_metrics_to_cloudwatch(
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listed_runners: RunnerDescriptions, group_name: str
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) -> None:
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client = boto3.client("cloudwatch")
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namespace = "RunnersMetrics"
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metrics_data = []
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busy_runners = sum(
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1 for runner in listed_runners if runner.busy and not runner.offline
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)
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dimensions = [{"Name": "group", "Value": group_name}]
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metrics_data.append(
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{
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"MetricName": "BusyRunners",
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"Value": busy_runners,
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"Unit": "Count",
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"Dimensions": dimensions,
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}
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)
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total_active_runners = sum(1 for runner in listed_runners if not runner.offline)
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metrics_data.append(
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{
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"MetricName": "ActiveRunners",
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"Value": total_active_runners,
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"Unit": "Count",
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"Dimensions": dimensions,
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}
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)
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total_runners = len(listed_runners)
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metrics_data.append(
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{
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"MetricName": "TotalRunners",
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"Value": total_runners,
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"Unit": "Count",
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"Dimensions": dimensions,
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}
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)
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if total_active_runners == 0:
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busy_ratio = 100.0
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else:
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busy_ratio = busy_runners / total_active_runners * 100
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metrics_data.append(
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{
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"MetricName": "BusyRunnersRatio",
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"Value": busy_ratio,
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"Unit": "Percent",
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"Dimensions": dimensions,
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}
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)
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client.put_metric_data(Namespace=namespace, MetricData=metrics_data)
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def main(
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access_token: str,
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push_to_cloudwatch: bool,
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) -> None:
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gh_runners = list_runners(access_token)
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grouped_runners = group_runners_by_tag(gh_runners)
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for group, group_runners in grouped_runners.items():
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if push_to_cloudwatch:
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print(f"Pushing metrics for group '{group}'")
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push_metrics_to_cloudwatch(group_runners, group)
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else:
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print(group, f"({len(group_runners)})")
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for runner in group_runners:
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print("\t", runner)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Get list of runners and their states")
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parser.add_argument(
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"-p", "--private-key-path", help="Path to file with private key"
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)
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parser.add_argument("-k", "--private-key", help="Private key")
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parser.add_argument(
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"-a", "--app-id", type=int, help="GitHub application ID", required=True
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)
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parser.add_argument(
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"--push-to-cloudwatch",
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action="store_true",
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help="Push metrics for active and busy runners to cloudwatch",
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)
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args = parser.parse_args()
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if not args.private_key_path and not args.private_key:
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print(
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"Either --private-key-path or --private-key must be specified",
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file=sys.stderr,
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)
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if args.private_key_path and args.private_key:
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print(
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"Either --private-key-path or --private-key must be specified",
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file=sys.stderr,
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)
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if args.private_key:
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private_key = args.private_key
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elif args.private_key_path:
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with open(args.private_key_path, "r", encoding="utf-8") as key_file:
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private_key = key_file.read()
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else:
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print("Attempt to get key and id from AWS secret manager")
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private_key, args.app_id = get_key_and_app_from_aws()
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token = get_access_token_by_key_app(private_key, args.app_id)
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main(token, args.push_to_cloudwatch)
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