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

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from __future__ import annotations

from datetime import datetime

from airflow import DAG
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.rds import (
    RdsCreateDbInstanceOperator,
    RdsDeleteDbInstanceOperator,
    RdsStartDbOperator,
    RdsStopDbOperator,
)
from airflow.providers.amazon.aws.sensors.rds import RdsDbSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder

[docs]sys_test_context_task = SystemTestContextBuilder().build()
[docs]DAG_ID = "example_rds_instance"
[docs]RDS_USERNAME = "database_username"
# NEVER store your production password in plaintext in a DAG like this. # Use Airflow Secrets or a secret manager for this in production.
[docs]RDS_PASSWORD = "database_password"
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_identifier = f"{test_context[ENV_ID_KEY]}-database" # [START howto_operator_rds_create_db_instance] create_db_instance = RdsCreateDbInstanceOperator( task_id="create_db_instance", db_instance_identifier=rds_db_identifier, db_instance_class="db.t4g.micro", engine="postgres", rds_kwargs={ "MasterUsername": RDS_USERNAME, "MasterUserPassword": RDS_PASSWORD, "AllocatedStorage": 20, "PubliclyAccessible": False, }, ) # [END howto_operator_rds_create_db_instance] # RdsCreateDbInstanceOperator waits by default, setting as False to test the Sensor below. create_db_instance.wait_for_completion = False # [START howto_sensor_rds_instance] await_db_instance = RdsDbSensor( task_id="await_db_instance", db_identifier=rds_db_identifier, ) # [END howto_sensor_rds_instance] # [START howto_operator_rds_stop_db] stop_db_instance = RdsStopDbOperator( task_id="stop_db_instance", db_identifier=rds_db_identifier, ) # [END howto_operator_rds_stop_db] # [START howto_operator_rds_start_db] start_db_instance = RdsStartDbOperator( task_id="start_db_instance", db_identifier=rds_db_identifier, ) # [END howto_operator_rds_start_db] # [START howto_operator_rds_delete_db_instance] delete_db_instance = RdsDeleteDbInstanceOperator( task_id="delete_db_instance", db_instance_identifier=rds_db_identifier, rds_kwargs={ "SkipFinalSnapshot": True, }, ) # [END howto_operator_rds_delete_db_instance] delete_db_instance.trigger_rule = TriggerRule.ALL_DONE chain( # TEST SETUP test_context, # TEST BODY create_db_instance, await_db_instance, stop_db_instance, start_db_instance, 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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