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#
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#
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# Ignore missing args provided by default_args
# type: ignore[call-arg]
from datetime import datetime
from os import environ
from airflow.models.dag import DAG
from airflow.providers.amazon.aws.hooks.eks import ClusterStates, FargateProfileStates
from airflow.providers.amazon.aws.operators.eks import (
EksCreateClusterOperator,
EksCreateFargateProfileOperator,
EksDeleteClusterOperator,
EksDeleteFargateProfileOperator,
EksPodOperator,
)
from airflow.providers.amazon.aws.sensors.eks import EksClusterStateSensor, EksFargateProfileStateSensor
[docs]CLUSTER_NAME = 'fargate-demo'
[docs]FARGATE_PROFILE_NAME = f'{CLUSTER_NAME}-profile'
[docs]SELECTORS = [{'namespace': 'default'}]
[docs]ROLE_ARN = environ.get('EKS_DEMO_ROLE_ARN', 'arn:aws:iam::123456789012:role/role_name')
[docs]SUBNETS = environ.get('EKS_DEMO_SUBNETS', 'subnet-12345ab subnet-67890cd').split(' ')
[docs]VPC_CONFIG = {
'subnetIds': SUBNETS,
'endpointPublicAccess': True,
'endpointPrivateAccess': False,
}
with DAG(
dag_id='example_eks_with_fargate_profile',
schedule_interval=None,
start_date=datetime(2021, 1, 1),
tags=['example'],
catchup=False,
) as dag:
# Create an Amazon EKS Cluster control plane without attaching a compute service.
[docs] create_cluster = EksCreateClusterOperator(
task_id='create_eks_cluster',
cluster_name=CLUSTER_NAME,
cluster_role_arn=ROLE_ARN,
resources_vpc_config=VPC_CONFIG,
compute=None,
)
await_create_cluster = EksClusterStateSensor(
task_id='wait_for_create_cluster',
cluster_name=CLUSTER_NAME,
target_state=ClusterStates.ACTIVE,
)
# [START howto_operator_eks_create_fargate_profile]
create_fargate_profile = EksCreateFargateProfileOperator(
task_id='create_eks_fargate_profile',
cluster_name=CLUSTER_NAME,
pod_execution_role_arn=ROLE_ARN,
fargate_profile_name=FARGATE_PROFILE_NAME,
selectors=SELECTORS,
)
# [END howto_operator_eks_create_fargate_profile]
# [START howto_sensor_eks_fargate]
await_create_fargate_profile = EksFargateProfileStateSensor(
task_id='wait_for_create_fargate_profile',
cluster_name=CLUSTER_NAME,
fargate_profile_name=FARGATE_PROFILE_NAME,
target_state=FargateProfileStates.ACTIVE,
)
# [END howto_sensor_eks_fargate]
start_pod = EksPodOperator(
task_id="run_pod",
cluster_name=CLUSTER_NAME,
pod_name="run_pod",
image="amazon/aws-cli:latest",
cmds=["sh", "-c", "echo Test Airflow; date"],
labels={"demo": "hello_world"},
get_logs=True,
# Delete the pod when it reaches its final state, or the execution is interrupted.
is_delete_operator_pod=True,
)
# [START howto_operator_eks_delete_fargate_profile]
delete_fargate_profile = EksDeleteFargateProfileOperator(
task_id='delete_eks_fargate_profile',
cluster_name=CLUSTER_NAME,
fargate_profile_name=FARGATE_PROFILE_NAME,
)
# [END howto_operator_eks_delete_fargate_profile]
await_delete_fargate_profile = EksFargateProfileStateSensor(
task_id='wait_for_delete_fargate_profile',
cluster_name=CLUSTER_NAME,
fargate_profile_name=FARGATE_PROFILE_NAME,
target_state=FargateProfileStates.NONEXISTENT,
)
delete_cluster = EksDeleteClusterOperator(
task_id='delete_eks_cluster',
cluster_name=CLUSTER_NAME,
)
await_delete_cluster = EksClusterStateSensor(
task_id='wait_for_delete_cluster',
cluster_name=CLUSTER_NAME,
target_state=ClusterStates.NONEXISTENT,
)
(
create_cluster
>> await_create_cluster
>> create_fargate_profile
>> await_create_fargate_profile
>> start_pod
>> delete_fargate_profile
>> await_delete_fargate_profile
>> delete_cluster
>> await_delete_cluster
)