Source code for airflow.providers.amazon.aws.example_dags.example_eks_templated

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# mypy ignore arg types (for templated fields)
# type: ignore[arg-type]

from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.amazon.aws.hooks.eks import ClusterStates, NodegroupStates
from airflow.providers.amazon.aws.operators.eks import (
    EksCreateClusterOperator,
    EksCreateNodegroupOperator,
    EksDeleteClusterOperator,
    EksDeleteNodegroupOperator,
    EksPodOperator,
)
from airflow.providers.amazon.aws.sensors.eks import EksClusterStateSensor, EksNodegroupStateSensor

# Example Jinja Template format, substitute your values:
"""
{
    "cluster_name": "templated-cluster",
    "cluster_role_arn": "arn:aws:iam::123456789012:role/role_name",
    "resources_vpc_config": {
        "subnetIds": ["subnet-12345ab", "subnet-67890cd"],
        "endpointPublicAccess": true,
        "endpointPrivateAccess": false
    },
    "nodegroup_name": "templated-nodegroup",
    "nodegroup_subnets": "['subnet-12345ab', 'subnet-67890cd']",
    "nodegroup_role_arn": "arn:aws:iam::123456789012:role/role_name"
}
"""

with DAG(
    dag_id='example_eks_templated',
    schedule_interval=None,
    start_date=datetime(2021, 1, 1),
    tags=['example', 'templated'],
    catchup=False,
    # render_template_as_native_obj=True is what converts the Jinja to Python objects, instead of a string.
    render_template_as_native_obj=True,
) as dag:

[docs] CLUSTER_NAME = "{{ dag_run.conf['cluster_name'] }}"
NODEGROUP_NAME = "{{ dag_run.conf['nodegroup_name'] }}" # Create an Amazon EKS Cluster control plane without attaching a compute service. create_cluster = EksCreateClusterOperator( task_id='create_eks_cluster', cluster_name=CLUSTER_NAME, compute=None, cluster_role_arn="{{ dag_run.conf['cluster_role_arn'] }}", resources_vpc_config="{{ dag_run.conf['resources_vpc_config'] }}", ) await_create_cluster = EksClusterStateSensor( task_id='wait_for_create_cluster', cluster_name=CLUSTER_NAME, target_state=ClusterStates.ACTIVE, ) create_nodegroup = EksCreateNodegroupOperator( task_id='create_eks_nodegroup', cluster_name=CLUSTER_NAME, nodegroup_name=NODEGROUP_NAME, nodegroup_subnets="{{ dag_run.conf['nodegroup_subnets'] }}", nodegroup_role_arn="{{ dag_run.conf['nodegroup_role_arn'] }}", ) await_create_nodegroup = EksNodegroupStateSensor( task_id='wait_for_create_nodegroup', cluster_name=CLUSTER_NAME, nodegroup_name=NODEGROUP_NAME, target_state=NodegroupStates.ACTIVE, ) start_pod = EksPodOperator( task_id="run_pod", cluster_name=CLUSTER_NAME, pod_name="run_pod", image="amazon/aws-cli:latest", cmds=["sh", "-c", "ls"], 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, ) delete_nodegroup = EksDeleteNodegroupOperator( task_id='delete_eks_nodegroup', cluster_name=CLUSTER_NAME, nodegroup_name=NODEGROUP_NAME, ) await_delete_nodegroup = EksNodegroupStateSensor( task_id='wait_for_delete_nodegroup', cluster_name=CLUSTER_NAME, nodegroup_name=NODEGROUP_NAME, target_state=NodegroupStates.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_nodegroup >> await_create_nodegroup >> start_pod >> delete_nodegroup >> await_delete_nodegroup >> delete_cluster >> await_delete_cluster )

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