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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 import ClusterStates, NodegroupStates
from import (
from import EksClusterStateSensor, EksNodegroupStateSensor
from 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. on_finish_action="delete_pod", ) 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/
[docs]test_run = get_test_run(dag)

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