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)

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