Source code for tests.system.providers.amazon.aws.example_ec2

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from __future__ import annotations

from datetime import datetime
from operator import itemgetter

import boto3

from airflow import DAG
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.ec2 import (
    EC2CreateInstanceOperator,
    EC2StartInstanceOperator,
    EC2StopInstanceOperator,
    EC2TerminateInstanceOperator,
)
from airflow.providers.amazon.aws.sensors.ec2 import EC2InstanceStateSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder

[docs]DAG_ID = "example_ec2"

[docs]sys_test_context_task = SystemTestContextBuilder().build()


@task
[docs]def get_latest_ami_id():
    """Returns the AMI ID of the most recently-created Amazon Linux image"""

    # Amazon is retiring AL2 in 2023 and replacing it with Amazon Linux 2022.
    # This image prefix should be futureproof, but may need adjusting depending
    # on how they name the new images.  This page should have AL2022 info when
    # it comes available: https://aws.amazon.com/linux/amazon-linux-2022/faqs/
    image_prefix = "Amazon Linux*"

    images = boto3.client("ec2").describe_images(
        Filters=[
            {"Name": "description", "Values": [image_prefix]},
            {"Name": "architecture", "Values": ["arm64"]},
        ],
        Owners=["amazon"],
    )
    # Sort on CreationDate
    sorted_images = sorted(images["Images"], key=itemgetter("CreationDate"), reverse=True)
    return sorted_images[0]["ImageId"]


@task
[docs]def create_key_pair(key_name: str):
    client = boto3.client("ec2")

    key_pair_id = client.create_key_pair(KeyName=key_name)["KeyName"]
    # Creating the key takes a very short but measurable time, preventing race condition:
    client.get_waiter("key_pair_exists").wait(KeyNames=[key_pair_id])

    return key_pair_id


@task(trigger_rule=TriggerRule.ALL_DONE)
[docs]def delete_key_pair(key_pair_id: str):
    boto3.client("ec2").delete_key_pair(KeyName=key_pair_id)


@task
[docs]def parse_response(instance_ids: list):
    return instance_ids[0]


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]
    instance_name = f"{env_id}-instance"
    key_name = create_key_pair(key_name=f"{env_id}_key_pair")
    image_id = get_latest_ami_id()

    config = {
        "InstanceType": "t4g.micro",
        "KeyName": key_name,
        "TagSpecifications": [
            {"ResourceType": "instance", "Tags": [{"Key": "Name", "Value": instance_name}]}
        ],
        # Use IMDSv2 for greater security, see the following doc for more details:
        # https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/configuring-instance-metadata-service.html
        "MetadataOptions": {"HttpEndpoint": "enabled", "HttpTokens": "required"},
    }

    # EC2CreateInstanceOperator creates and starts the EC2 instances. To test the EC2StartInstanceOperator,
    # we will stop the instance, then start them again before terminating them.

    # [START howto_operator_ec2_create_instance]
    create_instance = EC2CreateInstanceOperator(
        task_id="create_instance",
        image_id=image_id,
        max_count=1,
        min_count=1,
        config=config,
    )
    # [END howto_operator_ec2_create_instance]
    create_instance.wait_for_completion = True
    instance_id = parse_response(create_instance.output)
    # [START howto_operator_ec2_stop_instance]
    stop_instance = EC2StopInstanceOperator(
        task_id="stop_instance",
        instance_id=instance_id,
    )
    # [END howto_operator_ec2_stop_instance]
    stop_instance.trigger_rule = TriggerRule.ALL_DONE

    # [START howto_operator_ec2_start_instance]
    start_instance = EC2StartInstanceOperator(
        task_id="start_instance",
        instance_id=instance_id,
    )
    # [END howto_operator_ec2_start_instance]

    # [START howto_sensor_ec2_instance_state]
    await_instance = EC2InstanceStateSensor(
        task_id="await_instance",
        instance_id=instance_id,
        target_state="running",
    )
    # [END howto_sensor_ec2_instance_state]

    # [START howto_operator_ec2_terminate_instance]
    terminate_instance = EC2TerminateInstanceOperator(
        task_id="terminate_instance",
        instance_ids=instance_id,
        wait_for_completion=True,
    )
    # [END howto_operator_ec2_terminate_instance]
    terminate_instance.trigger_rule = TriggerRule.ALL_DONE
    chain(
        # TEST SETUP
        test_context,
        key_name,
        image_id,
        # TEST BODY
        create_instance,
        instance_id,
        stop_instance,
        start_instance,
        await_instance,
        terminate_instance,
        # TEST TEARDOWN
        delete_key_pair(key_name),
    )

    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)