airflow example_cloud_task 源码
airflow example_cloud_task 代码
文件路径：/airflow/providers/google/cloud/example_dags/example_cloud_task.py
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"""
Example Airflow DAG that sense a cloud task queue being empty.
This DAG relies on the following OS environment variables
* GCP_PROJECT_ID - Google Cloud project where the Compute Engine instance exists.
* GCP_ZONE - Google Cloud zone where the cloud task queue exists.
* QUEUE_NAME - Name of the cloud task queue.
"""
from __future__ import annotations
import os
from datetime import datetime
from airflow import models
from airflow.providers.google.cloud.sensors.tasks import TaskQueueEmptySensor
GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_ZONE = os.environ.get('GCE_ZONE', 'europe-west1-b')
QUEUE_NAME = os.environ.get('GCP_QUEUE_NAME', 'testqueue')
with models.DAG(
'example_gcp_cloud_tasks_sensor',
start_date=datetime(2022, 8, 8),
catchup=False,
tags=['example'],
) as dag:
# [START cloud_tasks_empty_sensor]
gcp_cloud_tasks_sensor = TaskQueueEmptySensor(
project_id=GCP_PROJECT_ID,
location=GCP_ZONE,
task_id='gcp_sense_cloud_tasks_empty',
queue_name=QUEUE_NAME,
)
# [END cloud_tasks_empty_sensor]
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