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"""
This is an example DAG which uses KubernetesCreateResourceOperator and KubernetesDeleteResourceOperator.
In this example, we create two tasks which execute sequentially.
The first task is to create a PVC on Kubernetes cluster.
and the second task is to delete the PVC.
"""
from __future__ import annotations

import os
from datetime import datetime, timedelta

from airflow import DAG
from airflow.providers.cncf.kubernetes.operators.resource import (
    KubernetesCreateResourceOperator,
    KubernetesDeleteResourceOperator,
)

pvc_name = "toto"

pvc_conf = f"""
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: {pvc_name}
spec:
  accessModes:
    - ReadWriteOnce
  storageClassName: standard
  resources:
    requests:
      storage: 5Gi
"""

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
DAG_ID = "example_kubernetes_resource_operator"

with DAG(
    DAG_ID,
    default_args={"max_active_runs": 1},
    description="create and delete a PVC in a kubernetes",
    schedule=timedelta(days=1),
    start_date=datetime(2021, 1, 1),
    catchup=False,
) as dag:
    t1 = KubernetesCreateResourceOperator(
        task_id="create_pvc",
        yaml_conf=pvc_conf,
    )

    t2 = KubernetesDeleteResourceOperator(
        task_id="delete_pvc",
        yaml_conf=pvc_conf,
    )

    t1 >> t2

    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)
test_run = get_test_run(dag)
