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


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 import models
from airflow.providers.google.cloud.operators.tasks import (
    CloudTasksQueueCreateOperator, CloudTasksTaskCreateOperator, CloudTasksTaskRunOperator,
)
from airflow.utils.dates import days_ago

default_args = {"start_date": days_ago(1)}
timestamp = timestamp_pb2.Timestamp()
timestamp.FromDatetime(datetime.now() + timedelta(hours=12))  # pylint: disable=no-member

LOCATION = "europe-west1"
QUEUE_ID = "cloud-tasks-queue"
TASK_NAME = "task-to-run"


TASK = {
    "app_engine_http_request": {  # Specify the type of request.
        "http_method": "POST",
        "relative_uri": "/example_task_handler",
        "body": "Hello".encode(),
    },
    "schedule_time": timestamp,
}

with models.DAG(
    "example_gcp_tasks",
    default_args=default_args,
    schedule_interval=None,  # Override to match your needs
    tags=['example'],
) as dag:

    create_queue = CloudTasksQueueCreateOperator(
        location=LOCATION,
        task_queue=Queue(),
        queue_name=QUEUE_ID,
        retry=Retry(maximum=10.0),
        timeout=5,
        task_id="create_queue",
    )

    create_task_to_run = CloudTasksTaskCreateOperator(
        location=LOCATION,
        queue_name=QUEUE_ID,
        task=TASK,
        task_name=TASK_NAME,
        retry=Retry(maximum=10.0),
        timeout=5,
        task_id="create_task_to_run",
    )

    run_task = CloudTasksTaskRunOperator(
        location=LOCATION,
        queue_name=QUEUE_ID,
        task_name=TASK_NAME,
        retry=Retry(maximum=10.0),
        timeout=5,
        task_id="run_task",
    )

    create_queue >> create_task_to_run >> run_task
