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

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from __future__ import annotations

from datetime import datetime

from airflow import DAG
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.hooks.rds import RdsHook
from airflow.providers.amazon.aws.operators.rds import (
    RdsCancelExportTaskOperator,
    RdsCreateDbInstanceOperator,
    RdsCreateDbSnapshotOperator,
    RdsDeleteDbInstanceOperator,
    RdsDeleteDbSnapshotOperator,
    RdsStartExportTaskOperator,
)
from airflow.providers.amazon.aws.operators.s3 import S3CreateBucketOperator, S3DeleteBucketOperator
from airflow.providers.amazon.aws.sensors.rds import RdsExportTaskExistenceSensor, RdsSnapshotExistenceSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder

[docs]DAG_ID = "example_rds_export"
# Externally fetched variables:
[docs]KMS_KEY_ID_KEY = "KMS_KEY_ID"
[docs]ROLE_ARN_KEY = "ROLE_ARN"
[docs]sys_test_context_task = ( SystemTestContextBuilder().add_variable(KMS_KEY_ID_KEY).add_variable(ROLE_ARN_KEY).build()
) @task
[docs]def get_snapshot_arn(snapshot_name: str) -> str: result = RdsHook().conn.describe_db_snapshots(DBSnapshotIdentifier=snapshot_name) return result["DBSnapshots"][0]["DBSnapshotArn"]
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_id = test_context[ENV_ID_KEY] bucket_name: str = f"{env_id}-bucket" rds_db_name: str = f"{env_id}_db" rds_instance_name: str = f"{env_id}-instance" rds_snapshot_name: str = f"{env_id}-snapshot" rds_export_task_id: str = f"{env_id}-export-task" create_bucket = S3CreateBucketOperator( task_id="create_bucket", bucket_name=bucket_name, ) 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, }, ) create_snapshot = RdsCreateDbSnapshotOperator( task_id="create_snapshot", db_type="instance", db_identifier=rds_instance_name, db_snapshot_identifier=rds_snapshot_name, ) await_snapshot = RdsSnapshotExistenceSensor( task_id="snapshot_sensor", db_type="instance", db_snapshot_identifier=rds_snapshot_name, target_statuses=["available"], ) snapshot_arn = get_snapshot_arn(rds_snapshot_name) # [START howto_operator_rds_start_export_task] start_export = RdsStartExportTaskOperator( task_id="start_export", export_task_identifier=rds_export_task_id, source_arn=snapshot_arn, s3_bucket_name=bucket_name, s3_prefix="rds-test", iam_role_arn=test_context[ROLE_ARN_KEY], kms_key_id=test_context[KMS_KEY_ID_KEY], ) # [END howto_operator_rds_start_export_task] # RdsStartExportTaskOperator waits by default, setting as False to test the Sensor below. start_export.wait_for_completion = False # [START howto_operator_rds_cancel_export] cancel_export = RdsCancelExportTaskOperator( task_id="cancel_export", export_task_identifier=rds_export_task_id, ) # [END howto_operator_rds_cancel_export] cancel_export.check_interval = 10 # [START howto_sensor_rds_export_task_existence] export_sensor = RdsExportTaskExistenceSensor( task_id="export_sensor", export_task_identifier=rds_export_task_id, target_statuses=["canceled"], ) # [END howto_sensor_rds_export_task_existence] delete_snapshot = RdsDeleteDbSnapshotOperator( task_id="delete_snapshot", db_type="instance", db_snapshot_identifier=rds_snapshot_name, trigger_rule=TriggerRule.ALL_DONE, ) delete_bucket = S3DeleteBucketOperator( task_id="delete_bucket", bucket_name=bucket_name, force_delete=True, 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_bucket, create_db_instance, create_snapshot, await_snapshot, snapshot_arn, # TEST BODY start_export, cancel_export, export_sensor, # TEST TEARDOWN delete_snapshot, delete_bucket, 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/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)

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