Fix scheduler crash when expanding with mapped task that returned none (

#23486)

When task is expanded from a mapped task that returned no value, it
crashes the scheduler. This PR fixes it by first checking if there's
a return value from the mapped task, if no returned value, then error
in the task itself instead of crashing the scheduler

(cherry picked from commit 7813f99)

airflow/models/taskinstance.py

@@ -2329,10 +2329,12 @@ def _record_task_map_for_downstreams(self, task: "Operator", value: Any, *, sess
         # currently possible for a downstream to depend on one individual mapped
         # task instance, only a task as a whole. This will change in AIP-42
         # Phase 2, and we'll need to further analyze the mapped task case.
-        if task.is_mapped or next(task.iter_mapped_dependants(), None) is None:
+        if next(task.iter_mapped_dependants(), None) is None:
             return
         if value is None:
             raise XComForMappingNotPushed()
+        if task.is_mapped:
+            return
         if not isinstance(value, collections.abc.Collection) or isinstance(value, (bytes, str)):
             raise UnmappableXComTypePushed(value)
         task_map = TaskMap.from_task_instance_xcom(self, value)

tests/models/test_taskinstance.py

@@ -2831,3 +2831,21 @@ def add_one(x):
 
     query = XCom.get_many(run_id=dagrun.run_id, task_ids=["add_one__1"], session=session)
     assert [x.value for x in query.order_by(None).order_by(XCom.map_index)] == [3, 4, 5]
+
+
+def test_ti_mapped_depends_on_mapped_xcom_arg_XXX(dag_maker, session):
+    with dag_maker(session=session) as dag:
+
+        @dag.task
+        def add_one(x):
+            x + 1
+
+        two_three_four = add_one.expand(x=[1, 2, 3])
+        add_one.expand(x=two_three_four)
+
+    dagrun = dag_maker.create_dagrun()
+    for map_index in range(3):
+        ti = dagrun.get_task_instance("add_one", map_index=map_index)
+        ti.refresh_from_task(dag.get_task("add_one"))
+        with pytest.raises(XComForMappingNotPushed):
+            ti.run()