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from __future__ import annotations

from datetime import datetime

from airflow import DAG
from airflow.models.baseoperator import chain
from import (
from import RdsSnapshotExistenceSensor
from airflow.utils.trigger_rule import TriggerRule
from import ENV_ID_KEY, SystemTestContextBuilder

[docs]DAG_ID = "example_rds_snapshot"
[docs]sys_test_context_task = SystemTestContextBuilder().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()
rds_db_name = f"{test_context[ENV_ID_KEY]}_db" rds_instance_name = f"{test_context[ENV_ID_KEY]}-instance" rds_snapshot_name = f"{test_context[ENV_ID_KEY]}-snapshot" rds_snapshot_copy_name = f"{rds_snapshot_name}-copy" create_db_instance = RdsCreateDbInstanceOperator( task_id="create_db_instance", db_instance_identifier=rds_instance_name, db_instance_class="db.t4g.micro", engine="postgres", rds_kwargs={ "MasterUsername": "rds_username", # NEVER store your production password in plaintext in a DAG like this. # Use Airflow Secrets or a secret manager for this in production. "MasterUserPassword": "rds_password", "AllocatedStorage": 20, "DBName": rds_db_name, }, ) # [START howto_operator_rds_create_db_snapshot] create_snapshot = RdsCreateDbSnapshotOperator( task_id="create_snapshot", db_type="instance", db_identifier=rds_instance_name, db_snapshot_identifier=rds_snapshot_name, ) # [END howto_operator_rds_create_db_snapshot] # [START howto_sensor_rds_snapshot_existence] snapshot_sensor = RdsSnapshotExistenceSensor( task_id="snapshot_sensor", db_type="instance", db_snapshot_identifier=rds_snapshot_name, target_statuses=["available"], ) # [END howto_sensor_rds_snapshot_existence] # [START howto_operator_rds_copy_snapshot] copy_snapshot = RdsCopyDbSnapshotOperator( task_id="copy_snapshot", db_type="instance", source_db_snapshot_identifier=rds_snapshot_name, target_db_snapshot_identifier=rds_snapshot_copy_name, ) # [END howto_operator_rds_copy_snapshot] # [START howto_operator_rds_delete_snapshot] delete_snapshot = RdsDeleteDbSnapshotOperator( task_id="delete_snapshot", db_type="instance", db_snapshot_identifier=rds_snapshot_name, ) # [END howto_operator_rds_delete_snapshot] snapshot_copy_sensor = RdsSnapshotExistenceSensor( task_id="snapshot_copy_sensor", db_type="instance", db_snapshot_identifier=rds_snapshot_copy_name, target_statuses=["available"], ) delete_snapshot_copy = RdsDeleteDbSnapshotOperator( task_id="delete_snapshot_copy", db_type="instance", db_snapshot_identifier=rds_snapshot_copy_name, trigger_rule=TriggerRule.ALL_DONE, ) delete_db_instance = RdsDeleteDbInstanceOperator( task_id="delete_db_instance", db_instance_identifier=rds_instance_name, rds_kwargs={"SkipFinalSnapshot": True}, trigger_rule=TriggerRule.ALL_DONE, ) chain( # TEST SETUP test_context, create_db_instance, # TEST BODY create_snapshot, snapshot_sensor, copy_snapshot, delete_snapshot, # TEST TEARDOWN snapshot_copy_sensor, delete_snapshot_copy, delete_db_instance, ) 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/
[docs]test_run = get_test_run(dag)

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