Source code for tests.system.amazon.aws.example_mwaa
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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.operators.mwaa import MwaaTriggerDagRunOperator
from system.amazon.aws.utils import SystemTestContextBuilder
[docs]
DAG_ID = "example_mwaa"
# Externally fetched variables:
[docs]
EXISTING_ENVIRONMENT_NAME_KEY = "ENVIRONMENT_NAME"
[docs]
EXISTING_DAG_ID_KEY = "DAG_ID"
[docs]
sys_test_context_task = (
SystemTestContextBuilder()
# NOTE: Creating a functional MWAA environment is time-consuming and requires
# manually creating and configuring an S3 bucket for DAG storage and a VPC with
# private subnets which is out of scope for this demo. To simplify this demo and
# make it run in a reasonable time, an existing MWAA environment already
# containing a DAG is required.
# Here's a quick start guide to create an MWAA environment using AWS CloudFormation:
# https://docs.aws.amazon.com/mwaa/latest/userguide/quick-start.html
# If creating the environment using the AWS console, make sure to have a VPC with
# at least 1 private subnet to be able to select the VPC while going through the
# environment creation steps in the console wizard.
# Make sure to set the environment variables with appropriate values
.add_variable(EXISTING_ENVIRONMENT_NAME_KEY)
.add_variable(EXISTING_DAG_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_name = test_context[EXISTING_ENVIRONMENT_NAME_KEY]
trigger_dag_id = test_context[EXISTING_DAG_ID_KEY]
# [START howto_operator_mwaa_trigger_dag_run]
trigger_dag_run = MwaaTriggerDagRunOperator(
task_id="trigger_dag_run",
env_name=env_name,
trigger_dag_id=trigger_dag_id,
)
# [END howto_operator_mwaa_trigger_dag_run]
chain(
# TEST SETUP
test_context,
# TEST BODY
trigger_dag_run,
)
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)