Source code for tests.system.providers.amazon.aws.example_eks_templated

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from __future__ import annotations

from datetime import datetime

from airflow.models.baseoperator import chain
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

# mypy ignore arg types (for templated fields)
# type: ignore[arg-type]
from tests.system.providers.amazon.aws.utils import SystemTestContextBuilder

[docs]sys_test_context_task = SystemTestContextBuilder().build()

[docs]DAG_ID = "example_eks_templated"

# 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=DAG_ID,
    schedule="@once",
    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]    test_context = sys_test_context_task()
    env_id = test_context["ENV_ID"]

    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'] }}",
        # This only works with render_template_as_native_obj flag (this dag has it set)
        resources_vpc_config="{{ dag_run.conf['resources_vpc_config'] }}",  # type: ignore[arg-type]
    )

    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,
    )

    chain(
        # TEST SETUP
        test_context,
        # TEST BODY
        create_cluster,
        await_create_cluster,
        create_nodegroup,
        await_create_nodegroup,
        start_pod,
        # TEST TEARDOWN
        delete_nodegroup,
        await_delete_nodegroup,
        delete_cluster,
        await_delete_cluster,
    )

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "tearDown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()

from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)