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

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from datetime import datetime

import boto3

from airflow import DAG
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.sns import SnsPublishOperator
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import set_env_id

[docs]ENV_ID = set_env_id()
[docs]DAG_ID = 'example_sns'
[docs]SNS_TOPIC_NAME = f'{ENV_ID}-test-topic'
@task
[docs]def create_topic() -> str: return boto3.client('sns').create_topic(Name=SNS_TOPIC_NAME)['TopicArn']
@task(trigger_rule=TriggerRule.ALL_DONE)
[docs]def delete_topic(topic_arn) -> None: boto3.client('sns').delete_topic(TopicArn=topic_arn)
with DAG( dag_id=DAG_ID, schedule_interval='@once', start_date=datetime(2021, 1, 1), tags=['example'], catchup=False, ) as dag:
[docs] create_sns_topic = create_topic()
# [START howto_operator_sns_publish_operator] publish_message = SnsPublishOperator( task_id='publish_message', target_arn=create_sns_topic, message='This is a sample message sent to SNS via an Apache Airflow DAG task.', ) # [END howto_operator_sns_publish_operator] chain( # TEST SETUP create_sns_topic, # TEST BODY publish_message, # TEST TEARDOWN delete_topic(create_sns_topic), ) 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)

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