ashb commented on code in PR #54103:
URL: https://github.com/apache/airflow/pull/54103#discussion_r2285132956
##########
airflow-core/tests/unit/jobs/test_scheduler_job.py:
##########
@@ -180,6 +180,39 @@ def _create_dagrun(
return _create_dagrun
+def task_maker(dag_maker, session, dag_id: str, task_num: int,
max_active_tasks: int):
+ dag_tasks = {}
+
+ with dag_maker(dag_id=dag_id):
+ for i in range(task_num):
+ # Assign priority weight to certain tasks.
+ if (i % 10) == 0: # 10, 20, 30, 40, 50, ...
+ weight = int(i / 2)
+ dag_tasks[f"op{i}"] = EmptyOperator(task_id=f"dummy{i}",
priority_weight=weight)
+ else:
+ # No executor specified, runs on default executor
+ dag_tasks[f"op{i}"] = EmptyOperator(task_id=f"dummy{i}")
+
+ # 'logical_date' is used to create the 'run_id'. Set it to 'now', in order
to get distinct run ids.
+ dag_run = dag_maker.create_dagrun(run_type=DagRunType.SCHEDULED,
logical_date=timezone.utcnow())
+
+ task_tis = {}
+
+ tis_list = []
+ for i in range(task_num):
+ task_tis[f"ti{i}"] =
dag_run.get_task_instance(dag_tasks[f"op{i}"].task_id, session)
+ # Add to the list.
+ tis_list.append(task_tis[f"ti{i}"])
+
+ for ti in tis_list:
+ ti.state = State.SCHEDULED
+ ti.dag_model.max_active_tasks = max_active_tasks
+
+ session.flush()
+
+ return tis_list
Review Comment:
Yeah that makes sense. I first read it as a test that wasn't testing much
and was confused.
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