Source code for tests.system.providers.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")
[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.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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