chore(ecs): update instance-drain-hook lambda runtime to python 3.13 (closes #34634)

packages/@aws-cdk-testing/framework-integ/test/aws-ecs-patterns/test/ec2/integ.multiple-application-load-balanced-ecs-service-idle-timeout.js.snapshot/aws-ecs-integ-alb-idle-timeout.template.json

@@ -754,7 +754,7 @@
    "Type": "AWS::Lambda::Function",
    "Properties": {
     "Code": {
-     "ZipFile": "import boto3, json, os, time\n\necs = boto3.client('ecs')\nautoscaling = boto3.client('autoscaling')\n\n\ndef lambda_handler(event, context):\n  print(json.dumps(dict(event, ResponseURL='...')))\n  cluster = os.environ['CLUSTER']\n  snsTopicArn = event['Records'][0]['Sns']['TopicArn']\n  lifecycle_event = json.loads(event['Records'][0]['Sns']['Message'])\n  instance_id = lifecycle_event.get('EC2InstanceId')\n  if not instance_id:\n    print('Got event without EC2InstanceId: %s', json.dumps(dict(event, ResponseURL='...')))\n    return\n\n  instance_arn = container_instance_arn(cluster, instance_id)\n  print('Instance %s has container instance ARN %s' % (lifecycle_event['EC2InstanceId'], instance_arn))\n\n  if not instance_arn:\n    return\n\n  task_arns = container_instance_task_arns(cluster, instance_arn)\n\n  if task_arns:\n    print('Instance ARN %s has task ARNs %s' % (instance_arn, ', '.join(task_arns)))\n\n  while has_tasks(cluster, instance_arn, task_arns):\n    time.sleep(10)\n\n  try:\n    print('Terminating instance %s' % instance_id)\n    autoscaling.complete_lifecycle_action(\n        LifecycleActionResult='CONTINUE',\n        **pick(lifecycle_event, 'LifecycleHookName', 'LifecycleActionToken', 'AutoScalingGroupName'))\n  except Exception as e:\n    # Lifecycle action may have already completed.\n    print(str(e))\n\n\ndef container_instance_arn(cluster, instance_id):\n  \"\"\"Turn an instance ID into a container instance ARN.\"\"\"\n  arns = ecs.list_container_instances(cluster=cluster, filter='ec2InstanceId==' + instance_id)['containerInstanceArns']\n  if not arns:\n    return None\n  return arns[0]\n\ndef container_instance_task_arns(cluster, instance_arn):\n  \"\"\"Fetch tasks for a container instance ARN.\"\"\"\n  arns = ecs.list_tasks(cluster=cluster, containerInstance=instance_arn)['taskArns']\n  return arns\n\ndef has_tasks(cluster, instance_arn, task_arns):\n  \"\"\"Return True if the instance is running tasks for the given cluster.\"\"\"\n  instances = ecs.describe_container_instances(cluster=cluster, containerInstances=[instance_arn])['containerInstances']\n  if not instances:\n    return False\n  instance = instances[0]\n\n  if instance['status'] == 'ACTIVE':\n    # Start draining, then try again later\n    set_container_instance_to_draining(cluster, instance_arn)\n    return True\n\n  task_count = None\n\n  if task_arns:\n    # Fetch details for tasks running on the container instance\n    tasks = ecs.describe_tasks(cluster=cluster, tasks=task_arns)['tasks']\n    if tasks:\n      # Consider any non-stopped tasks as running\n      task_count = sum(task['lastStatus'] != 'STOPPED' for task in tasks) + instance['pendingTasksCount']\n\n  if not task_count:\n    # Fallback to instance task counts if detailed task information is unavailable\n    task_count = instance['runningTasksCount'] + instance['pendingTasksCount']\n\n  print('Instance %s has %s tasks' % (instance_arn, task_count))\n\n  return task_count > 0\n\ndef set_container_instance_to_draining(cluster, instance_arn):\n  ecs.update_container_instances_state(\n      cluster=cluster,\n      containerInstances=[instance_arn], status='DRAINING')\n\n\ndef pick(dct, *keys):\n  \"\"\"Pick a subset of a dict.\"\"\"\n  return {k: v for k, v in dct.items() if k in keys}\n"
+     "ZipFile": "import boto3, json, os, time\n\necs = boto3.client('ecs')\nautoscaling = boto3.client('autoscaling')\n\n\ndef lambda_handler(event, context):\n  print(json.dumps(dict(event, ResponseURL='...')))\n  cluster = os.environ['CLUSTER']\n  snsTopicArn = event['Records'][0]['Sns']['TopicArn']\n  lifecycle_event = json.loads(event['Records'][0]['Sns']['Message'])\n  instance_id = lifecycle_event.get('EC2InstanceId')\n  if not instance_id:\n    print('Got event without EC2InstanceId: %s' % json.dumps(dict(event, ResponseURL='...')))\n    return\n\n  instance_arn = container_instance_arn(cluster, instance_id)\n  print('Instance %s has container instance ARN %s' % (lifecycle_event['EC2InstanceId'], instance_arn))\n\n  if not instance_arn:\n    return\n\n  task_arns = container_instance_task_arns(cluster, instance_arn)\n\n  if task_arns:\n    print('Instance ARN %s has task ARNs %s' % (instance_arn, ', '.join(task_arns)))\n\n  while has_tasks(cluster, instance_arn, task_arns):\n    time.sleep(10)\n\n  try:\n    print('Terminating instance %s' % instance_id)\n    autoscaling.complete_lifecycle_action(\n        LifecycleActionResult='CONTINUE',\n        **pick(lifecycle_event, 'LifecycleHookName', 'LifecycleActionToken', 'AutoScalingGroupName'))\n  except Exception as e:\n    # Lifecycle action may have already completed.\n    print(str(e))\n\n\ndef container_instance_arn(cluster, instance_id):\n  \"\"\"Turn an instance ID into a container instance ARN.\"\"\"\n  arns = ecs.list_container_instances(cluster=cluster, filter='ec2InstanceId==' + instance_id)['containerInstanceArns']\n  if not arns:\n    return None\n  return arns[0]\n\ndef container_instance_task_arns(cluster, instance_arn):\n  \"\"\"Fetch tasks for a container instance ARN.\"\"\"\n  arns = ecs.list_tasks(cluster=cluster, containerInstance=instance_arn)['taskArns']\n  return arns\n\ndef has_tasks(cluster, instance_arn, task_arns):\n  \"\"\"Return True if the instance is running tasks for the given cluster.\"\"\"\n  instances = ecs.describe_container_instances(cluster=cluster, containerInstances=[instance_arn])['containerInstances']\n  if not instances:\n    return False\n  instance = instances[0]\n\n  if instance['status'] == 'ACTIVE':\n    # Start draining, then try again later\n    set_container_instance_to_draining(cluster, instance_arn)\n    return True\n\n  task_count = None\n\n  if task_arns:\n    # Fetch details for tasks running on the container instance\n    tasks = ecs.describe_tasks(cluster=cluster, tasks=task_arns)['tasks']\n    if tasks:\n      # Consider any non-stopped tasks as running\n      task_count = sum(task['lastStatus'] != 'STOPPED' for task in tasks) + instance['pendingTasksCount']\n\n  if not task_count:\n    # Fallback to instance task counts if detailed task information is unavailable\n    task_count = instance['runningTasksCount'] + instance['pendingTasksCount']\n\n  print('Instance %s has %s tasks' % (instance_arn, task_count))\n\n  return task_count > 0\n\ndef set_container_instance_to_draining(cluster, instance_arn):\n  ecs.update_container_instances_state(\n      cluster=cluster,\n      containerInstances=[instance_arn], status='DRAINING')\n\n\ndef pick(dct, *keys):\n  \"\"\"Pick a subset of a dict.\"\"\"\n  return {k: v for k, v in dct.items() if k in keys}\n"
     },
     "Environment": {
      "Variables": {
@@ -770,7 +770,7 @@
       "Arn"
      ]
     },
-    "Runtime": "python3.9",
+    "Runtime": "python3.13",
     "Tags": [
      {
       "Key": "Name",
@@ -1595,4 +1595,4 @@
    ]
   }
  }
-}
+}

packages/@aws-cdk-testing/framework-integ/test/aws-ecs-patterns/test/ec2/integ.multiple-application-load-balanced-ecs-service.js.snapshot/aws-ecs-integ-multiple-alb.template.json

@@ -776,7 +776,7 @@
    "Type": "AWS::Lambda::Function",
    "Properties": {
     "Code": {
-     "ZipFile": "import boto3, json, os, time\n\necs = boto3.client('ecs')\nautoscaling = boto3.client('autoscaling')\n\n\ndef lambda_handler(event, context):\n  print(json.dumps(dict(event, ResponseURL='...')))\n  cluster = os.environ['CLUSTER']\n  snsTopicArn = event['Records'][0]['Sns']['TopicArn']\n  lifecycle_event = json.loads(event['Records'][0]['Sns']['Message'])\n  instance_id = lifecycle_event.get('EC2InstanceId')\n  if not instance_id:\n    print('Got event without EC2InstanceId: %s', json.dumps(dict(event, ResponseURL='...')))\n    return\n\n  instance_arn = container_instance_arn(cluster, instance_id)\n  print('Instance %s has container instance ARN %s' % (lifecycle_event['EC2InstanceId'], instance_arn))\n\n  if not instance_arn:\n    return\n\n  task_arns = container_instance_task_arns(cluster, instance_arn)\n\n  if task_arns:\n    print('Instance ARN %s has task ARNs %s' % (instance_arn, ', '.join(task_arns)))\n\n  while has_tasks(cluster, instance_arn, task_arns):\n    time.sleep(10)\n\n  try:\n    print('Terminating instance %s' % instance_id)\n    autoscaling.complete_lifecycle_action(\n        LifecycleActionResult='CONTINUE',\n        **pick(lifecycle_event, 'LifecycleHookName', 'LifecycleActionToken', 'AutoScalingGroupName'))\n  except Exception as e:\n    # Lifecycle action may have already completed.\n    print(str(e))\n\n\ndef container_instance_arn(cluster, instance_id):\n  \"\"\"Turn an instance ID into a container instance ARN.\"\"\"\n  arns = ecs.list_container_instances(cluster=cluster, filter='ec2InstanceId==' + instance_id)['containerInstanceArns']\n  if not arns:\n    return None\n  return arns[0]\n\ndef container_instance_task_arns(cluster, instance_arn):\n  \"\"\"Fetch tasks for a container instance ARN.\"\"\"\n  arns = ecs.list_tasks(cluster=cluster, containerInstance=instance_arn)['taskArns']\n  return arns\n\ndef has_tasks(cluster, instance_arn, task_arns):\n  \"\"\"Return True if the instance is running tasks for the given cluster.\"\"\"\n  instances = ecs.describe_container_instances(cluster=cluster, containerInstances=[instance_arn])['containerInstances']\n  if not instances:\n    return False\n  instance = instances[0]\n\n  if instance['status'] == 'ACTIVE':\n    # Start draining, then try again later\n    set_container_instance_to_draining(cluster, instance_arn)\n    return True\n\n  task_count = None\n\n  if task_arns:\n    # Fetch details for tasks running on the container instance\n    tasks = ecs.describe_tasks(cluster=cluster, tasks=task_arns)['tasks']\n    if tasks:\n      # Consider any non-stopped tasks as running\n      task_count = sum(task['lastStatus'] != 'STOPPED' for task in tasks) + instance['pendingTasksCount']\n\n  if not task_count:\n    # Fallback to instance task counts if detailed task information is unavailable\n    task_count = instance['runningTasksCount'] + instance['pendingTasksCount']\n\n  print('Instance %s has %s tasks' % (instance_arn, task_count))\n\n  return task_count > 0\n\ndef set_container_instance_to_draining(cluster, instance_arn):\n  ecs.update_container_instances_state(\n      cluster=cluster,\n      containerInstances=[instance_arn], status='DRAINING')\n\n\ndef pick(dct, *keys):\n  \"\"\"Pick a subset of a dict.\"\"\"\n  return {k: v for k, v in dct.items() if k in keys}\n"
+     "ZipFile": "import boto3, json, os, time\n\necs = boto3.client('ecs')\nautoscaling = boto3.client('autoscaling')\n\n\ndef lambda_handler(event, context):\n  print(json.dumps(dict(event, ResponseURL='...')))\n  cluster = os.environ['CLUSTER']\n  snsTopicArn = event['Records'][0]['Sns']['TopicArn']\n  lifecycle_event = json.loads(event['Records'][0]['Sns']['Message'])\n  instance_id = lifecycle_event.get('EC2InstanceId')\n  if not instance_id:\n    print('Got event without EC2InstanceId: %s' % json.dumps(dict(event, ResponseURL='...')))\n    return\n\n  instance_arn = container_instance_arn(cluster, instance_id)\n  print('Instance %s has container instance ARN %s' % (lifecycle_event['EC2InstanceId'], instance_arn))\n\n  if not instance_arn:\n    return\n\n  task_arns = container_instance_task_arns(cluster, instance_arn)\n\n  if task_arns:\n    print('Instance ARN %s has task ARNs %s' % (instance_arn, ', '.join(task_arns)))\n\n  while has_tasks(cluster, instance_arn, task_arns):\n    time.sleep(10)\n\n  try:\n    print('Terminating instance %s' % instance_id)\n    autoscaling.complete_lifecycle_action(\n        LifecycleActionResult='CONTINUE',\n        **pick(lifecycle_event, 'LifecycleHookName', 'LifecycleActionToken', 'AutoScalingGroupName'))\n  except Exception as e:\n    # Lifecycle action may have already completed.\n    print(str(e))\n\n\ndef container_instance_arn(cluster, instance_id):\n  \"\"\"Turn an instance ID into a container instance ARN.\"\"\"\n  arns = ecs.list_container_instances(cluster=cluster, filter='ec2InstanceId==' + instance_id)['containerInstanceArns']\n  if not arns:\n    return None\n  return arns[0]\n\ndef container_instance_task_arns(cluster, instance_arn):\n  \"\"\"Fetch tasks for a container instance ARN.\"\"\"\n  arns = ecs.list_tasks(cluster=cluster, containerInstance=instance_arn)['taskArns']\n  return arns\n\ndef has_tasks(cluster, instance_arn, task_arns):\n  \"\"\"Return True if the instance is running tasks for the given cluster.\"\"\"\n  instances = ecs.describe_container_instances(cluster=cluster, containerInstances=[instance_arn])['containerInstances']\n  if not instances:\n    return False\n  instance = instances[0]\n\n  if instance['status'] == 'ACTIVE':\n    # Start draining, then try again later\n    set_container_instance_to_draining(cluster, instance_arn)\n    return True\n\n  task_count = None\n\n  if task_arns:\n    # Fetch details for tasks running on the container instance\n    tasks = ecs.describe_tasks(cluster=cluster, tasks=task_arns)['tasks']\n    if tasks:\n      # Consider any non-stopped tasks as running\n      task_count = sum(task['lastStatus'] != 'STOPPED' for task in tasks) + instance['pendingTasksCount']\n\n  if not task_count:\n    # Fallback to instance task counts if detailed task information is unavailable\n    task_count = instance['runningTasksCount'] + instance['pendingTasksCount']\n\n  print('Instance %s has %s tasks' % (instance_arn, task_count))\n\n  return task_count > 0\n\ndef set_container_instance_to_draining(cluster, instance_arn):\n  ecs.update_container_instances_state(\n      cluster=cluster,\n      containerInstances=[instance_arn], status='DRAINING')\n\n\ndef pick(dct, *keys):\n  \"\"\"Pick a subset of a dict.\"\"\"\n  return {k: v for k, v in dct.items() if k in keys}\n"
     },
     "Environment": {
      "Variables": {
@@ -792,7 +792,7 @@
       "Arn"
      ]
     },
-    "Runtime": "python3.9",
+    "Runtime": "python3.13",
     "Tags": [
      {
       "Key": "Name",
@@ -1269,4 +1269,4 @@
    ]
   }
  }
-}
+}