potiuk commented on code in PR #23731:
URL: https://github.com/apache/airflow/pull/23731#discussion_r877427392
##########
tests/jobs/test_scheduler_job.py:
##########
@@ -4120,22 +4120,40 @@ def
test_task_with_upstream_skip_process_task_instances():
dr = dag.create_dagrun(run_type=DagRunType.MANUAL, state=State.RUNNING,
execution_date=DEFAULT_DATE)
assert dr is not None
+ # def get_ti_from_db(task):
+ # return (
+ # session.query(TaskInstance)
+ # .filter(
+ # TaskInstance.dag_id == dag.dag_id,
+ # TaskInstance.task_id == task.task_id,
+ # TaskInstance.run_id == dr.run_id,
+ # )
+ # .one()
+ # )
+
+ # with create_session() as session:
+ # get_ti_from_db(dummy1).state = State.SKIPPED
+ # get_ti_from_db(dummy2).state = State.SUCCESS
+ # session.flush()
+
with create_session() as session:
tis = {ti.task_id: ti for ti in dr.get_task_instances(session=session)}
# Set dummy1 to skipped and dummy2 to success. dummy3 remains as none.
tis[dummy1.task_id].state = State.SKIPPED
tis[dummy2.task_id].state = State.SUCCESS
assert tis[dummy3.task_id].state == State.NONE
+ session.commit()
+ # dr.refresh_from_db(session=session)
# dag_runs = DagRun.find(dag_id='test_task_with_upstream_skip_dag')
Review Comment:
not really sure, I am afraid - those are pretty deep dive tests and they
might require qutie a bit deeper knowledge (and time to look it up).
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