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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,
EksDeleteClusterOperator,
EksPodOperator,
)
from airflow.providers.amazon.aws.sensors.eks import EksClusterStateSensor, EksFargateProfileStateSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
from tests.system.providers.amazon.aws.utils.ec2 import (
create_address_allocation,
create_nat_gateway,
create_private_subnets,
create_route_table,
delete_nat_gateway,
delete_route_table,
delete_subnets,
remove_address_allocation,
)
[docs]DAG_ID = "example_eks_with_fargate_in_one_step"
# 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]PUBLIC_SUBNET_ID_KEY = "PUBLIC_SUBNET_ID"
[docs]sys_test_context_task = (
SystemTestContextBuilder()
.add_variable(CLUSTER_ROLE_ARN_KEY)
.add_variable(FARGATE_POD_ROLE_ARN_KEY)
.add_variable(VPC_ID_KEY)
.add_variable(PUBLIC_SUBNET_ID_KEY)
.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_role_arn = test_context[CLUSTER_ROLE_ARN_KEY]
fargate_pod_role_arn = test_context[FARGATE_POD_ROLE_ARN_KEY]
vpc_id = test_context[VPC_ID_KEY]
public_subnet_id = test_context[PUBLIC_SUBNET_ID_KEY]
cluster_name = f"{env_id}-cluster"
fargate_profile_name = f"{env_id}-profile"
test_name = f"{env_id}_{DAG_ID}"
allocation = create_address_allocation()
nat_gateway = create_nat_gateway(allocation_id=allocation, subnet_id=public_subnet_id)
route_table = create_route_table(vpc_id=vpc_id, nat_gateway_id=nat_gateway, test_name=test_name)
subnets = create_private_subnets(
vpc_id=vpc_id, route_table_id=route_table, test_name=test_name, number_to_make=2
)
# [START howto_operator_eks_create_cluster_with_fargate_profile]
# Create an Amazon EKS cluster control plane and an AWS Fargate compute platform in one step.
create_cluster_and_fargate_profile = EksCreateClusterOperator(
task_id="create_eks_cluster_and_fargate_profile",
cluster_name=cluster_name,
cluster_role_arn=cluster_role_arn,
resources_vpc_config={
"subnetIds": subnets,
"endpointPublicAccess": True,
"endpointPrivateAccess": False,
},
compute="fargate",
fargate_profile_name=fargate_profile_name,
# Opting to use the same ARN for the cluster and the pod here,
# but a different ARN could be configured and passed if desired.
fargate_pod_execution_role_arn=fargate_pod_role_arn,
)
# [END howto_operator_eks_create_cluster_with_fargate_profile]
await_create_fargate_profile = EksFargateProfileStateSensor(
task_id="await_create_fargate_profile",
cluster_name=cluster_name,
fargate_profile_name=fargate_profile_name,
target_state=FargateProfileStates.ACTIVE,
)
start_pod = EksPodOperator(
task_id="run_pod",
pod_name="run_pod",
cluster_name=cluster_name,
image="amazon/aws-cli:latest",
cmds=["sh", "-c", "echo Test Airflow; date"],
labels={"demo": "hello_world"},
get_logs=True,
startup_timeout_seconds=600,
# Delete the pod when it reaches its final state, or the execution is interrupted.
is_delete_operator_pod=True,
)
# An Amazon EKS cluster can not be deleted with attached resources such as nodegroups or Fargate profiles.
# Setting the `force` to `True` will delete any attached resources before deleting the cluster.
delete_cluster_and_fargate_profile = EksDeleteClusterOperator(
task_id="delete_fargate_profile_and_cluster",
trigger_rule=TriggerRule.ALL_DONE,
cluster_name=cluster_name,
force_delete_compute=True,
)
await_delete_cluster = EksClusterStateSensor(
task_id="await_delete_cluster",
trigger_rule=TriggerRule.ALL_DONE,
cluster_name=cluster_name,
target_state=ClusterStates.NONEXISTENT,
)
chain(
# TEST SETUP
test_context,
nat_gateway,
route_table,
subnets,
# TEST BODY
create_cluster_and_fargate_profile,
await_create_fargate_profile,
start_pod,
delete_cluster_and_fargate_profile,
await_delete_cluster,
# TEST TEARDOWN
delete_subnets(subnets),
delete_route_table(route_table),
delete_nat_gateway(nat_gateway),
remove_address_allocation(allocation),
)
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)