# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# 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,
EksDeleteClusterOperator,
EksPodOperator,
)
from airflow.providers.amazon.aws.sensors.eks import EksClusterStateSensor, EksFargateProfileStateSensor
[docs]CLUSTER_NAME = 'fargate-all-in-one'
[docs]FARGATE_PROFILE_NAME = f'{CLUSTER_NAME}-profile'
[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_in_one_step',
schedule_interval=None,
start_date=datetime(2021, 1, 1),
tags=['example'],
catchup=False,
) as dag:
# [START howto_operator_eks_create_cluster_with_fargate_profile]
# Create an Amazon EKS cluster control plane and an AWS Fargate compute platform in one step.
[docs] create_cluster_and_fargate_profile = EksCreateClusterOperator(
task_id='create_eks_cluster_and_fargate_profile',
cluster_name=CLUSTER_NAME,
cluster_role_arn=ROLE_ARN,
resources_vpc_config=VPC_CONFIG,
compute='fargate',
fargate_profile_name=FARGATE_PROFILE_NAME,
# Opting to use the same ARN for the cluster and the pod here,
# but a different ARN could be configured and passed if desired.
fargate_pod_execution_role_arn=ROLE_ARN,
)
# [END howto_operator_eks_create_cluster_with_fargate_profile]
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,
)
start_pod = EksPodOperator(
task_id="run_pod",
pod_name="run_pod",
cluster_name=CLUSTER_NAME,
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,
)
# An Amazon EKS cluster can not be deleted with attached resources such as nodegroups or Fargate profiles.
# Setting the `force` to `True` will delete any attached resources before deleting the cluster.
delete_all = EksDeleteClusterOperator(
task_id='delete_fargate_profile_and_cluster',
cluster_name=CLUSTER_NAME,
force_delete_compute=True,
)
await_delete_cluster = EksClusterStateSensor(
task_id='wait_for_delete_cluster',
cluster_name=CLUSTER_NAME,
target_state=ClusterStates.NONEXISTENT,
)
(
create_cluster_and_fargate_profile
>> await_create_fargate_profile
>> start_pod
>> delete_all
>> await_delete_cluster
)