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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
from providers.tests.system.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.
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 dev.tests_common.test_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 dev.tests_common.test_utils.system_tests 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)