From 94fec64a347bd846977c2ee9c2ae4196164a473f Mon Sep 17 00:00:00 2001 From: Felix Kastner Date: Thu, 11 Mar 2021 17:12:54 -0800 Subject: [PATCH 1/4] fix(aws-ecs): drain hook lambda allows tasks to stop gracefully #13506 fixes #13506 After the container instance is set to draining, the tasks running on it transition from RUNNING > DEACTIVATING > STOPPING > DEPROVISIONING > STOPPED. The current way of counting running tasks via `instance['runningTasksCount'] + instance['pendingTasksCount']` does not include tasks in those transitional states, leading to the EC2 instance being terminated prematurely. No unit tests were added as the lambda code is not currently covered by any tests I could find. I have verified the change by manually updating the automatically created drain hook lambda and then running a ASG refresh. I ran the test with additional debug output to compare the old logic of `runningTasksCount + pendingTasksCount` and the new logic that fetches the status of the tasks. I interleaved the logs from the ECS events, application running in the task and the drain hook lambda: ``` 2021-03-11T15:56:52.608-08:00 Instance i-1234567890abcdefg has container instance ARN arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv 2021-03-11T15:56:52.649-08:00 Instance ARN arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has task ARNs arn:aws:ecs:us-west-2:123456789012:task/fooservice/1234567890abcdefghijklmnopqrstuv 2021-03-11T15:57:03.018-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:03.051-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:13.215-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:13.280-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:15.280-08:00 service fooservice has stopped 1 running tasks: task 1234567890abcdefghijklmnopqrstuv. 2021-03-11T15:57:23.438-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:57:23.490-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:33.632-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:57:33.690-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:43.853-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:57:43.890-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:46.000-08:00 service fooservice has started 1 tasks: task 1234567890abcdefghijklmnopqrstuv. 2021-03-11T15:57:46.000-08:00 (service fooservice, taskSet ecs-svc/1234567890abcdefghi) has begun draining connections on 2 tasks. 2021-03-11T15:57:46.000-08:00 service fooservice deregistered 1 targets in target-group fooservice-vpce-target 2021-03-11T15:57:46.000-08:00 service fooservice deregistered 1 targets in target-group fooservice-target 2021-03-11T15:57:54.032-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:57:54.090-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:57:58.000-08:00 service fooservice registered 1 targets in target-group fooservice-vpce-target 2021-03-11T15:57:58.000-08:00 service fooservice registered 1 targets in target-group fooservice-target 2021-03-11T15:58:04.242-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:58:04.270-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:58:14.430-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:58:14.470-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:58:24.611-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:58:24.650-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:58:34.796-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:58:34.850-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:58:44.999-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:58:45.030-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 1 tasks 2021-03-11T15:58:49.000-08:00 app received SIGTERM 2021-03-11T15:58:54.000-08:00 service fooservice has reached a steady state. 2021-03-11T15:58:55.170-08:00 OLD: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:58:55.210-08:00 NEW: Instance arn:aws:ecs:us-west-2:123456789012:container-instance/fooservice/1234567890abcdefghijklmnopqrstuv has 0 tasks 2021-03-11T15:58:55.210-08:00 Terminating instance i-1234567890abcdefg ``` --- .../lib/drain-hook/lambda-source/index.py | 36 +++++++++++++++---- 1 file changed, 29 insertions(+), 7 deletions(-) diff --git a/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py b/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py index e17ac68681300..181d071fd4dbd 100644 --- a/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py +++ b/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py @@ -20,7 +20,12 @@ def lambda_handler(event, context): if not instance_arn: return - while has_tasks(cluster, instance_arn): + task_arns = container_instance_task_arns(cluster, instance_arn) + + if task_arns: + print('Instance ARN %s has task ARNs %s' % (instance_arn, ', '.join(task_arns))) + + while has_tasks(cluster, instance_arn, task_arns): time.sleep(10) try: @@ -40,8 +45,14 @@ def container_instance_arn(cluster, instance_id): return None return arns[0] +def container_instance_task_arns(cluster, instance_arn): + """Fetch tasks for a container instance ARN.""" + arns = ecs.list_tasks(cluster=cluster, containerInstance=instance_arn)['taskArns'] + if not arns: + return None + return arns -def has_tasks(cluster, instance_arn): +def has_tasks(cluster, instance_arn, task_arns): """Return True if the instance is running tasks for the given cluster.""" instances = ecs.describe_container_instances(cluster=cluster, containerInstances=[instance_arn])['containerInstances'] if not instances: @@ -53,11 +64,22 @@ def has_tasks(cluster, instance_arn): set_container_instance_to_draining(cluster, instance_arn) return True - tasks = instance['runningTasksCount'] + instance['pendingTasksCount'] - print('Instance %s has %s tasks' % (instance_arn, tasks)) - - return tasks > 0 - + task_count = None + + if task_arns: + # Fetch details for tasks running on the container instance + tasks = ecs.describe_tasks(cluster=cluster, tasks=task_arns)['tasks'] + if tasks: + # Consider any non-stopped tasks as running + task_count = sum(task['lastStatus'] != 'STOPPED' for task in tasks) + instance['pendingTasksCount'] + + if not task_count: + # Fallback to instance task counts if detailed task information is unavailable + task_count = instance['runningTasksCount'] + instance['pendingTasksCount'] + + print('Instance %s has %s tasks' % (instance_arn, task_count)) + + return task_count > 0 def set_container_instance_to_draining(cluster, instance_arn): ecs.update_container_instances_state( From 9ff3ada4ab3ebf288702ac8f2b2bc8f2f2e77ed4 Mon Sep 17 00:00:00 2001 From: Felix Kastner Date: Thu, 11 Mar 2021 17:40:09 -0800 Subject: [PATCH 2/4] Removed unnecessary check --- packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py b/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py index 181d071fd4dbd..0b4590f9e4768 100644 --- a/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py +++ b/packages/@aws-cdk/aws-ecs/lib/drain-hook/lambda-source/index.py @@ -48,8 +48,6 @@ def container_instance_arn(cluster, instance_id): def container_instance_task_arns(cluster, instance_arn): """Fetch tasks for a container instance ARN.""" arns = ecs.list_tasks(cluster=cluster, containerInstance=instance_arn)['taskArns'] - if not arns: - return None return arns def has_tasks(cluster, instance_arn, task_arns): From 1f1d94e1666bf47191f0801dd1fdd5ee447851bd Mon Sep 17 00:00:00 2001 From: Felix Kastner Date: Fri, 12 Mar 2021 13:20:12 -0800 Subject: [PATCH 3/4] Updated test files with new expected output I noticed that the expected output tests contained the lambda code, so I updated them accordingly. --- .../@aws-cdk/aws-ecs/test/ec2/integ.lb-awsvpc-nw.expected.json | 2 +- .../@aws-cdk/aws-ecs/test/ec2/integ.lb-bridge-nw.expected.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-awsvpc-nw.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-awsvpc-nw.expected.json index 90fd28f84cef2..1fef2d83e2784 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-awsvpc-nw.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-awsvpc-nw.expected.json @@ -696,7 +696,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-bridge-nw.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-bridge-nw.expected.json index 0737785f5fea4..1bcb9d34f8dbd 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-bridge-nw.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.lb-bridge-nw.expected.json @@ -717,7 +717,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ From 8ec08fb7885532521f6db57b99225aef0c283d4f Mon Sep 17 00:00:00 2001 From: Felix Kastner Date: Fri, 12 Mar 2021 14:21:16 -0800 Subject: [PATCH 4/4] Missed some expected.json files --- ...ltiple-application-load-balanced-ecs-service.expected.json | 2 +- .../test/ec2/integ.scheduled-ecs-task.lit.expected.json | 2 +- .../test/ec2/integ.app-mesh-proxy-config.expected.json | 2 +- .../aws-ecs/test/ec2/integ.bottlerocket.expected.json | 2 +- .../@aws-cdk/aws-ecs/test/ec2/integ.clb-host-nw.expected.json | 2 +- .../test/ec2/integ.cloudmap-container-port.expected.json | 2 +- .../aws-ecs/test/ec2/integ.environment-file.expected.json | 2 +- .../aws-ecs/test/ec2/integ.firelens-s3-config.expected.json | 2 +- .../aws-ecs/test/ec2/integ.sd-awsvpc-nw.expected.json | 2 +- .../aws-ecs/test/ec2/integ.sd-bridge-nw.expected.json | 2 +- .../@aws-cdk/aws-ecs/test/ec2/integ.spot-drain.expected.json | 4 ++-- .../test/ecs/integ.event-ec2-task.lit.expected.json | 2 +- .../test/ecs/integ.ec2-run-task.expected.json | 2 +- .../test/ecs/integ.ec2-task.expected.json | 2 +- 14 files changed, 15 insertions(+), 15 deletions(-) diff --git a/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.multiple-application-load-balanced-ecs-service.expected.json b/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.multiple-application-load-balanced-ecs-service.expected.json index ec9686e054019..0412778adb2e8 100644 --- a/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.multiple-application-load-balanced-ecs-service.expected.json +++ b/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.multiple-application-load-balanced-ecs-service.expected.json @@ -717,7 +717,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.scheduled-ecs-task.lit.expected.json b/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.scheduled-ecs-task.lit.expected.json index 53c05f9aeba8e..e3afaddbeb7c6 100644 --- a/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.scheduled-ecs-task.lit.expected.json +++ b/packages/@aws-cdk/aws-ecs-patterns/test/ec2/integ.scheduled-ecs-task.lit.expected.json @@ -534,7 +534,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.app-mesh-proxy-config.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.app-mesh-proxy-config.expected.json index 7a40a11d952ca..2e5eed7f911c6 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.app-mesh-proxy-config.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.app-mesh-proxy-config.expected.json @@ -696,7 +696,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.bottlerocket.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.bottlerocket.expected.json index 23ba70a23584d..616a80172092e 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.bottlerocket.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.bottlerocket.expected.json @@ -690,7 +690,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.clb-host-nw.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.clb-host-nw.expected.json index 3a323b0d36eff..77ccc9c6c36c6 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.clb-host-nw.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.clb-host-nw.expected.json @@ -717,7 +717,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.cloudmap-container-port.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.cloudmap-container-port.expected.json index e067e7d75a67d..da866432d8539 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.cloudmap-container-port.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.cloudmap-container-port.expected.json @@ -518,7 +518,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.environment-file.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.environment-file.expected.json index b287e6ffc33fa..c309c8a70f249 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.environment-file.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.environment-file.expected.json @@ -709,7 +709,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.firelens-s3-config.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.firelens-s3-config.expected.json index 967d38891c487..e863d75fa16fb 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.firelens-s3-config.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.firelens-s3-config.expected.json @@ -696,7 +696,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-awsvpc-nw.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-awsvpc-nw.expected.json index b4e2c72807b0e..353debc6de544 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-awsvpc-nw.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-awsvpc-nw.expected.json @@ -696,7 +696,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-bridge-nw.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-bridge-nw.expected.json index ef42895037361..4722ee003bef2 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-bridge-nw.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.sd-bridge-nw.expected.json @@ -696,7 +696,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-ecs/test/ec2/integ.spot-drain.expected.json b/packages/@aws-cdk/aws-ecs/test/ec2/integ.spot-drain.expected.json index 77acf122d0168..20ba3cf89516e 100644 --- a/packages/@aws-cdk/aws-ecs/test/ec2/integ.spot-drain.expected.json +++ b/packages/@aws-cdk/aws-ecs/test/ec2/integ.spot-drain.expected.json @@ -698,7 +698,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ @@ -1179,7 +1179,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-events-targets/test/ecs/integ.event-ec2-task.lit.expected.json b/packages/@aws-cdk/aws-events-targets/test/ecs/integ.event-ec2-task.lit.expected.json index 6dc9c62e63102..dbdb415e57e63 100644 --- a/packages/@aws-cdk/aws-events-targets/test/ecs/integ.event-ec2-task.lit.expected.json +++ b/packages/@aws-cdk/aws-events-targets/test/ecs/integ.event-ec2-task.lit.expected.json @@ -534,7 +534,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-run-task.expected.json b/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-run-task.expected.json index 97a2e05741145..c67a1adcd7dd7 100644 --- a/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-run-task.expected.json +++ b/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-run-task.expected.json @@ -328,7 +328,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Role": { "Fn::GetAtt": [ diff --git a/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-task.expected.json b/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-task.expected.json index 26ef883551481..26a8b2c4d1ba8 100644 --- a/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-task.expected.json +++ b/packages/@aws-cdk/aws-stepfunctions-tasks/test/ecs/integ.ec2-task.expected.json @@ -328,7 +328,7 @@ "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(event))\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(event))\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 while has_tasks(cluster, instance_arn):\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\n\ndef has_tasks(cluster, instance_arn):\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 tasks = instance['runningTasksCount'] + instance['pendingTasksCount']\n print('Instance %s has %s tasks' % (instance_arn, tasks))\n\n return tasks > 0\n\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(event))\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(event))\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" }, "Handler": "index.lambda_handler", "Role": {