Source code for tests.system.google.cloud.tasks.example_tasks

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"""
Example Airflow DAG that creates and deletes Queues and creates, gets, lists,
runs and deletes Tasks in the Google Cloud Tasks service in the Google Cloud.
"""

from __future__ import annotations

import os
from datetime import datetime, timedelta

from google.api_core.retry import Retry
from google.cloud.tasks_v2.types import Queue
from google.protobuf import timestamp_pb2

from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.tasks import (
    CloudTasksQueueCreateOperator,
    CloudTasksQueueDeleteOperator,
    CloudTasksTaskCreateOperator,
    CloudTasksTaskDeleteOperator,
    CloudTasksTaskGetOperator,
    CloudTasksTaskRunOperator,
    CloudTasksTasksListOperator,
)
from airflow.utils.trigger_rule import TriggerRule


[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")


[docs]DAG_ID = "cloud_tasks_tasks"



[docs]timestamp = timestamp_pb2.Timestamp()

timestamp.FromDatetime(datetime.now() + timedelta(hours=12))


[docs]LOCATION = "us-central1"

# queue cannot use recent names even if queue was removed

[docs]QUEUE_ID = f"queue-{ENV_ID}-{DAG_ID.replace('_', '-')}"


[docs]TASK_NAME = "task-to-run"


[docs]TASK = {
    "http_request": {
        "http_method": "POST",
        "url": "http://www.example.com/example",
        "body": b"",
    },
    "schedule_time": timestamp,
}


with DAG(
    dag_id=DAG_ID,
    schedule="@once",
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "tasks"],
) as dag:

    @task(task_id="random_string")

[docs]    def generate_random_string():
        """
        Generate random string for queue and task names.
        Queue name cannot be repeated in preceding 7 days and
        task name in the last 1 hour.
        """
        import random
        import string

        return "".join(random.choices(string.ascii_uppercase + string.digits, k=8))


    random_string = generate_random_string()

    create_queue = CloudTasksQueueCreateOperator(
        location=LOCATION,
        task_queue=Queue(stackdriver_logging_config=dict(sampling_ratio=0.5)),
        queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        retry=Retry(maximum=10.0),
        timeout=5,
        task_id="create_queue",
    )

    delete_queue = CloudTasksQueueDeleteOperator(
        location=LOCATION,
        queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task_id="delete_queue",
    )
    delete_queue.trigger_rule = TriggerRule.ALL_DONE

    # [START create_task]
    create_task = CloudTasksTaskCreateOperator(
        location=LOCATION,
        queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task=TASK,
        task_name=TASK_NAME + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        retry=Retry(maximum=10.0),
        timeout=5,
        task_id="create_task_to_run",
    )
    # [END create_task]

    # [START tasks_get]
    tasks_get = CloudTasksTaskGetOperator(
        location=LOCATION,
        queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task_name=TASK_NAME + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task_id="tasks_get",
    )
    # [END tasks_get]

    # [START run_task]
    run_task = CloudTasksTaskRunOperator(
        location=LOCATION,
        queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task_name=TASK_NAME + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        retry=Retry(maximum=10.0),
        task_id="run_task",
    )
    # [END run_task]

    # [START list_tasks]
    list_tasks = CloudTasksTasksListOperator(
        location=LOCATION,
        queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task_id="list_tasks",
    )
    # [END list_tasks]

    # [START delete_task]
    delete_task = CloudTasksTaskDeleteOperator(
        location=LOCATION,
        queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task_name=TASK_NAME + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
        task_id="delete_task",
    )
    # [END delete_task]

    chain(
        random_string, create_queue, create_task, tasks_get, list_tasks, run_task, delete_task, delete_queue
    )

    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)

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