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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 airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
# Ignore missing args provided by default_args
# type: ignore[call-arg]
[docs]DAG_ID = "example_eks_with_nodegroups"
# Externally fetched variables:
[docs]ROLE_ARN_KEY = "ROLE_ARN"
[docs]sys_test_context_task = (
SystemTestContextBuilder().add_variable(ROLE_ARN_KEY).add_variable(SUBNETS_KEY, split_string=True).build()
)
with DAG(
dag_id=DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
tags=["example"],
catchup=False,
) as dag:
[docs] test_context = sys_test_context_task()
env_id = test_context[ENV_ID_KEY]
cluster_name = f"{env_id}-cluster"
nodegroup_name = f"{env_id}-nodegroup"
# [START howto_operator_eks_create_cluster]
# Create an Amazon EKS Cluster control plane without attaching compute service.
create_cluster = EksCreateClusterOperator(
task_id="create_cluster",
cluster_name=cluster_name,
cluster_role_arn=test_context[ROLE_ARN_KEY],
resources_vpc_config={"subnetIds": test_context[SUBNETS_KEY]},
compute=None,
)
# [END howto_operator_eks_create_cluster]
# [START howto_sensor_eks_cluster]
await_create_cluster = EksClusterStateSensor(
task_id="await_create_cluster",
cluster_name=cluster_name,
target_state=ClusterStates.ACTIVE,
)
# [END howto_sensor_eks_cluster]
# [START howto_operator_eks_create_nodegroup]
create_nodegroup = EksCreateNodegroupOperator(
task_id="create_nodegroup",
cluster_name=cluster_name,
nodegroup_name=nodegroup_name,
nodegroup_subnets=test_context[SUBNETS_KEY],
nodegroup_role_arn=test_context[ROLE_ARN_KEY],
)
# [END howto_operator_eks_create_nodegroup]
# [START howto_sensor_eks_nodegroup]
await_create_nodegroup = EksNodegroupStateSensor(
task_id="await_create_nodegroup",
cluster_name=cluster_name,
nodegroup_name=nodegroup_name,
target_state=NodegroupStates.ACTIVE,
)
# [END howto_sensor_eks_nodegroup]
await_create_nodegroup.poke_interval = 10
# [START howto_operator_eks_pod_operator]
start_pod = EksPodOperator(
task_id="start_pod",
pod_name="test_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,
)
# [END howto_operator_eks_pod_operator]
# [START howto_operator_eks_delete_nodegroup]
delete_nodegroup = EksDeleteNodegroupOperator(
task_id="delete_nodegroup",
cluster_name=cluster_name,
nodegroup_name=nodegroup_name,
)
# [END howto_operator_eks_delete_nodegroup]
delete_nodegroup.trigger_rule = TriggerRule.ALL_DONE
await_delete_nodegroup = EksNodegroupStateSensor(
task_id="await_delete_nodegroup",
trigger_rule=TriggerRule.ALL_DONE,
cluster_name=cluster_name,
nodegroup_name=nodegroup_name,
target_state=NodegroupStates.NONEXISTENT,
)
# [START howto_operator_eks_delete_cluster]
delete_cluster = EksDeleteClusterOperator(
task_id="delete_cluster",
cluster_name=cluster_name,
)
# [END howto_operator_eks_delete_cluster]
delete_cluster.trigger_rule = TriggerRule.ALL_DONE
await_delete_cluster = EksClusterStateSensor(
task_id="await_delete_cluster",
trigger_rule=TriggerRule.ALL_DONE,
cluster_name=cluster_name,
target_state=ClusterStates.NONEXISTENT,
poke_interval=10,
)
chain(
# TEST SETUP
test_context,
# TEST BODY
create_cluster,
await_create_cluster,
create_nodegroup,
await_create_nodegroup,
start_pod,
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)