Airflow以编程方式将任务实例状态设置为已跳过

from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator

def check_condition(**kwargs):
    # 这里可以定义检查条件的逻辑
    # 假设我们根据某个条件决定是否跳过任务
    condition = True  # 假设这是从数据库或其他任务获取的条件
    if condition:
        kwargs['ti'].xcom_push(key='skip_condition', value=True)

def skip_task(**kwargs):
    condition = kwargs['ti'].xcom_pull(key='skip_condition', task_ids='check_condition')
    if condition:
        kwargs['ti'].state = 'skipped'

default_args = {
    'owner': 'airflow',
    'start_date': days_ago(1),
}

with DAG('example_skip_task_dag', default_args=default_args, schedule_interval="@daily") as dag:
    start_task = DummyOperator(task_id='start_task')
    
    check_condition_task = PythonOperator(
        task_id='check_condition',
        python_callable=check_condition,
        provide_context=True
    )
    
    conditionally_skipped_task = PythonOperator(
        task_id='conditionally_skipped_task',
        python_callable=skip_task,
        provide_context=True
    )
    
    end_task = DummyOperator(task_id='end_task')

    start_task >> check_condition_task >> conditionally_skipped_task >> end_task