Airflow中的任务组（TaskGroup）是一组任务的集合。在测试任务组时，可以使用pytest-airflow插件。要使用pytest-airflow，需要按照以下步骤进行配置：

1.在Airflow项目中创建一个tests文件夹。

2.安装pytest和pytest-airflow。

pip install pytest pytest-airflow

3.创建一个pytest.ini文件

[pytest] addopts = --verbose --color=yes --strict-markers markers = airflow: mark test to be run only when Airflow is installed connection: mark test to require external database connections focus: mark test as focused (uses unittest.skip by default) dag: mark test as a DAG test dag_run: mark test as a DAG Run test provider: mark test as a provider test task: mark test as a Task test

[pytest-airflow]

airflow_home = ~/airflow

webserver_worker_timeout_sec = 120

4. 编写测试用例

from airflow.utils.task_group import TaskGroup from airflow.operators.dummy_operator import DummyOperator from airflow.decorators.task_group_decorator import task_group from airflow.decorators dag, task

default_args = {"owner": "airflow", "start_date": airflow.utils.dates.days_ago(1)}

with TaskGroup("task_group_name") as tg: dummy_task_1 = DummyOperator(task_id="dummy_task_1") dummy_task_2 = DummyOperator(task_id="dummy_task_2")

@task
def task_1():
    return "task_1"

@task
def task_2():
    return "task_2"

dag_task_3 = BashOperator(
    task_id="bash_task_3",
    bash_command="echo task_3",
)

dag = DAG( dag_id="test_dag_id", default_args=default_args, schedule_interval="@daily", )

@task_group def task_group_func(): tg >> [task_1(), task_2()]

dag_task_group = task_group_func()

dag_task_3.set_upstream(dag_task_group)

5. 运行测试

pytest tests/test_tasks.py

运行测试时，它将自动发现所有