diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml index f934655..a2cecbc 100644 --- a/.github/workflows/ci.yaml +++ b/.github/workflows/ci.yaml @@ -29,16 +29,12 @@ jobs: - '3.10' - '3.9' airflow-version: + - '3.0' - '2.10' - '2.9' - - '2.8' dbt-version: - 1.9 - 1.8 - exclude: - # Incompatible combinations - - python-version: 3.12 - airflow-version: '2.8' runs-on: ubuntu-latest steps: diff --git a/.github/workflows/tagged_release.yml b/.github/workflows/tagged_release.yml index b73223d..95655fd 100644 --- a/.github/workflows/tagged_release.yml +++ b/.github/workflows/tagged_release.yml @@ -15,7 +15,7 @@ jobs: with: token: ${{ secrets.GH_DEPLOY_TOKEN }} checkName: CI - ref: ${{ github.sha }} + ref: ${{ github.ref_name }} # Wait for one hour timeoutSeconds: 3600 intervalSeconds: 60 diff --git a/tests/dags/test_dbt_dags.py b/tests/dags/test_dbt_dags.py index 6af5796..01babe6 100644 --- a/tests/dags/test_dbt_dags.py +++ b/tests/dags/test_dbt_dags.py @@ -12,6 +12,7 @@ airflow = pytest.importorskip("airflow", minversion="2.2") from airflow import DAG, settings +from airflow import __version__ as airflow_version from airflow.models import DagBag, DagRun from airflow.models.serialized_dag import SerializedDagModel from airflow.utils.state import DagRunState, TaskInstanceState @@ -27,6 +28,41 @@ DATA_INTERVAL_START = pendulum.datetime(2022, 1, 1, tz="UTC") DATA_INTERVAL_END = DATA_INTERVAL_START + dt.timedelta(hours=1) +AIRFLOW_MAJOR_VERSION = int(airflow_version.split(".", 1)[0]) + + +def _create_dagrun( + parent_dag: DAG, + state: DagRunState, + logical_date: dt.datetime, + data_interval: tuple[dt.datetime, dt.datetime], + start_date: dt.datetime, + run_type: DagRunType, +) -> DagRun: + if AIRFLOW_MAJOR_VERSION >= 3: + from airflow.utils.types import DagRunTriggeredByType # type: ignore + + return parent_dag.create_dagrun( # type: ignore + run_id=f"{parent_dag.dag_id}-{logical_date.isoformat()}-RUN", + state=state, + logical_date=logical_date, + data_interval=data_interval, + start_date=start_date, + conf={}, + backfill_id=None, + creating_job_id=None, + run_type=run_type, + run_after=dt.datetime(1970, 1, 1, 0, 0, 0, tzinfo=dt.timezone.utc), + triggered_by=DagRunTriggeredByType.TIMETABLE, + ) + else: + return parent_dag.create_dagrun( + state=state, + execution_date=logical_date, # type: ignore + data_interval=data_interval, + start_date=start_date, + run_type=run_type, + ) @pytest.fixture(scope="session") @@ -115,9 +151,10 @@ def test_dbt_operators_in_dag( basic_dag, dbt_project_file, profiles_file, clear_dagruns ): """Assert DAG contains correct dbt operators when running.""" - dagrun = basic_dag.create_dagrun( + dagrun = _create_dagrun( + basic_dag, state=DagRunState.RUNNING, - execution_date=DATA_INTERVAL_START, + logical_date=DATA_INTERVAL_START, data_interval=(DATA_INTERVAL_START, DATA_INTERVAL_END), start_date=DATA_INTERVAL_END, run_type=DagRunType.MANUAL, @@ -216,9 +253,15 @@ def test_dbt_operators_in_taskflow_dag( taskflow_dag, dbt_project_file, profiles_file, clear_dagruns ): """Assert DAG contains correct dbt operators when running.""" - dagrun = taskflow_dag.create_dagrun( + if AIRFLOW_MAJOR_VERSION >= 3: + dag = DAG.from_sdk_dag(taskflow_dag) + else: + dag = taskflow_dag + + dagrun = _create_dagrun( + dag, state=DagRunState.RUNNING, - execution_date=DATA_INTERVAL_START, + logical_date=DATA_INTERVAL_START, data_interval=(DATA_INTERVAL_START, DATA_INTERVAL_END), start_date=DATA_INTERVAL_END, run_type=DagRunType.MANUAL, @@ -232,16 +275,18 @@ def test_dbt_operators_in_taskflow_dag( "dbt_test_taskflow", ): ti = dagrun.get_task_instance(task_id=task_id) - ti.task = taskflow_dag.get_task(task_id=task_id) + ti.task = dag.get_task(task_id=task_id) ti.run(ignore_ti_state=True) assert ti.state == TaskInstanceState.SUCCESS - assert ti.task.retries == taskflow_dag.default_args["retries"] - assert ( - ti.task.on_failure_callback - == taskflow_dag.default_args["on_failure_callback"] - ) + assert ti.task.retries == dag.default_args["retries"] + + if isinstance(ti.task.on_failure_callback, list): + failure_callback = ti.task.on_failure_callback[0] + else: + failure_callback = ti.task.on_failure_callback + assert failure_callback == dag.default_args["on_failure_callback"] if isinstance(ti.task, DbtBaseOperator): assert ti.task.profiles_dir == str(profiles_file.parent) @@ -349,9 +394,10 @@ def test_dbt_operators_in_connection_dag( target_connection_dag, dbt_project_file, clear_dagruns ): """Assert DAG contains correct dbt operators when running.""" - dagrun = target_connection_dag.create_dagrun( + dagrun = _create_dagrun( + target_connection_dag, state=DagRunState.RUNNING, - execution_date=DATA_INTERVAL_START, + logical_date=DATA_INTERVAL_START, data_interval=(DATA_INTERVAL_START, DATA_INTERVAL_END), start_date=DATA_INTERVAL_END, run_type=DagRunType.MANUAL, @@ -414,9 +460,10 @@ def test_example_basic_dag( dbt_run.target = "test" dbt_run.profile = "default" - dagrun = dag.create_dagrun( + dagrun = _create_dagrun( + dag, state=DagRunState.RUNNING, - execution_date=dag.start_date, + logical_date=dag.start_date, data_interval=(dag.start_date, DATA_INTERVAL_END), start_date=DATA_INTERVAL_END, run_type=DagRunType.MANUAL, @@ -460,9 +507,10 @@ def test_example_dbt_project_in_github_dag(dagbag, connection, clear_dagruns): assert dag is not None assert len(dag.tasks) == 3 - dagrun = dag.create_dagrun( + dagrun = _create_dagrun( + dag, state=DagRunState.RUNNING, - execution_date=dag.start_date, + logical_date=dag.start_date, data_interval=(dag.start_date, DATA_INTERVAL_END), start_date=DATA_INTERVAL_END, run_type=DagRunType.MANUAL, @@ -511,9 +559,10 @@ def test_example_complete_dbt_workflow_dag( assert dag is not None assert len(dag.tasks) == 5 - dagrun = dag.create_dagrun( + dagrun = _create_dagrun( + dag, state=DagRunState.RUNNING, - execution_date=dag.start_date, + logical_date=dag.start_date, data_interval=(dag.start_date, DATA_INTERVAL_END), 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