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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, FargateProfileStates
from airflow.providers.amazon.aws.operators.eks import (
EksCreateClusterOperator,
EksCreateFargateProfileOperator,
EksDeleteClusterOperator,
EksDeleteFargateProfileOperator,
EksPodOperator,
)
from airflow.providers.amazon.aws.sensors.eks import EksClusterStateSensor, EksFargateProfileStateSensor
from airflow.utils.trigger_rule import TriggerRule
from providers.tests.system.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
from providers.tests.system.amazon.aws.utils.k8s import get_describe_pod_operator
[docs]DAG_ID = "example_eks_with_fargate_profile"
# Externally fetched variables:
# See https://docs.aws.amazon.com/eks/latest/userguide/service_IAM_role.html
[docs]CLUSTER_ROLE_ARN_KEY = "CLUSTER_ROLE_ARN"
# See https://docs.aws.amazon.com/eks/latest/userguide/pod-execution-role.html
[docs]FARGATE_POD_ROLE_ARN_KEY = "FARGATE_POD_ROLE_ARN"
[docs]sys_test_context_task = (
SystemTestContextBuilder()
.add_variable(CLUSTER_ROLE_ARN_KEY)
.add_variable(FARGATE_POD_ROLE_ARN_KEY)
.add_variable(SUBNETS_KEY, split_string=True)
.build()
)
[docs]SELECTORS = [{"namespace": "default"}]
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_role_arn = test_context[CLUSTER_ROLE_ARN_KEY]
fargate_pod_role_arn = test_context[FARGATE_POD_ROLE_ARN_KEY]
subnets = test_context[SUBNETS_KEY]
cluster_name = f"{env_id}-cluster"
fargate_profile_name = f"{env_id}-profile"
test_name = f"{env_id}_{DAG_ID}"
# Create an Amazon EKS Cluster control plane without attaching a compute service.
create_cluster = EksCreateClusterOperator(
task_id="create_eks_cluster",
cluster_name=cluster_name,
cluster_role_arn=cluster_role_arn,
resources_vpc_config={
"subnetIds": subnets,
"endpointPublicAccess": True,
"endpointPrivateAccess": False,
},
compute=None,
)
await_create_cluster = EksClusterStateSensor(
task_id="wait_for_create_cluster",
cluster_name=cluster_name,
target_state=ClusterStates.ACTIVE,
)
# [START howto_operator_eks_create_fargate_profile]
create_fargate_profile = EksCreateFargateProfileOperator(
task_id="create_eks_fargate_profile",
cluster_name=cluster_name,
pod_execution_role_arn=fargate_pod_role_arn,
fargate_profile_name=fargate_profile_name,
selectors=SELECTORS,
)
# [END howto_operator_eks_create_fargate_profile]
# [START howto_sensor_eks_fargate]
await_create_fargate_profile = EksFargateProfileStateSensor(
task_id="wait_for_create_fargate_profile",
cluster_name=cluster_name,
fargate_profile_name=fargate_profile_name,
target_state=FargateProfileStates.ACTIVE,
)
# [END howto_sensor_eks_fargate]
start_pod = EksPodOperator(
task_id="run_pod",
cluster_name=cluster_name,
pod_name="run_pod",
image="amazon/aws-cli:latest",
cmds=["sh", "-c", "echo Test Airflow; date"],
labels={"demo": "hello_world"},
get_logs=True,
# Keep the pod alive, so we can describe it in case of trouble. It's deleted with the cluster anyway.
on_finish_action="keep_pod",
startup_timeout_seconds=200,
)
describe_pod = get_describe_pod_operator(
cluster_name, pod_name="{{ ti.xcom_pull(key='pod_name', task_ids='run_pod') }}"
)
# only describe the pod if the task above failed, to help diagnose
describe_pod.trigger_rule = TriggerRule.ONE_FAILED
# [START howto_operator_eks_delete_fargate_profile]
delete_fargate_profile = EksDeleteFargateProfileOperator(
task_id="delete_eks_fargate_profile",
cluster_name=cluster_name,
fargate_profile_name=fargate_profile_name,
)
# [END howto_operator_eks_delete_fargate_profile]
delete_fargate_profile.trigger_rule = TriggerRule.ALL_DONE
await_delete_fargate_profile = EksFargateProfileStateSensor(
task_id="wait_for_delete_fargate_profile",
cluster_name=cluster_name,
fargate_profile_name=fargate_profile_name,
target_state=FargateProfileStates.NONEXISTENT,
trigger_rule=TriggerRule.ALL_DONE,
poke_interval=10,
)
delete_cluster = EksDeleteClusterOperator(
task_id="delete_eks_cluster",
cluster_name=cluster_name,
trigger_rule=TriggerRule.ALL_DONE,
)
await_delete_cluster = EksClusterStateSensor(
task_id="wait_for_delete_cluster",
cluster_name=cluster_name,
target_state=ClusterStates.NONEXISTENT,
poke_interval=10,
)
chain(
# TEST SETUP
test_context,
# TEST BODY
create_cluster,
await_create_cluster,
create_fargate_profile,
await_create_fargate_profile,
start_pod,
# TEARDOWN
describe_pod,
delete_fargate_profile, # part of the test AND teardown
await_delete_fargate_profile,
delete_cluster,
await_delete_cluster,
)
from 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 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)