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

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from __future__ import annotations

import pendulum

from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.amazon.aws.operators.neptune import (
    NeptuneStartDbClusterOperator,
    NeptuneStopDbClusterOperator,
)
from tests.system.providers.amazon.aws.utils import SystemTestContextBuilder


[docs]DAG_ID = "example_neptune"

# This test requires an existing Neptune cluster.

[docs]CLUSTER_ID = "CLUSTER_ID"



[docs]sys_test_context_task = SystemTestContextBuilder().add_variable(CLUSTER_ID).build()


with DAG(DAG_ID, schedule="@once", start_date=pendulum.datetime(2024, 1, 1, tz="UTC"), catchup=False) as dag:

[docs]    test_context = sys_test_context_task()

    env_id = test_context["ENV_ID"]
    cluster_id = test_context["CLUSTER_ID"]

    # [START howto_operator_start_neptune_cluster]
    start_cluster = NeptuneStartDbClusterOperator(
        task_id="start_task", db_cluster_id=cluster_id, deferrable=True
    )
    # [END howto_operator_start_neptune_cluster]

    # [START howto_operator_stop_neptune_cluster]
    stop_cluster = NeptuneStopDbClusterOperator(
        task_id="stop_task", db_cluster_id=cluster_id, deferrable=True
    )
    # [END howto_operator_stop_neptune_cluster]

    chain(
        # TEST SETUP
        test_context,
        # TEST BODY
        start_cluster,
        stop_cluster,
    )
    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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