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#
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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.rds import (
RdsCopyDbSnapshotOperator,
RdsCreateDbInstanceOperator,
RdsCreateDbSnapshotOperator,
RdsDeleteDbInstanceOperator,
RdsDeleteDbSnapshotOperator,
)
from airflow.providers.amazon.aws.sensors.rds import RdsSnapshotExistenceSensor
from airflow.utils.trigger_rule import TriggerRule
from providers.tests.system.amazon.aws.utils 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,
"PubliclyAccessible": False,
},
)
# [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_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)