Move user-facing string to template

airflow/models/dag.py

@@ -200,13 +200,16 @@ def get_last_dagrun(dag_id, session, include_externally_triggered=False):
     return query.first()
 
 
-def get_dataset_triggered_next_run_info(dag_ids: list[str], *, session: Session) -> dict[str, str]:
+def get_dataset_triggered_next_run_info(dag_ids: list[str], *, session: Session) -> dict[str, dict[str, int]]:
     """
     Given a list of dag_ids, get string representing how close any that are dataset triggered are
     their next run, e.g. "1 of 2 datasets updated"
     """
     return {
-        x.dag_id: f"{x.ready} of {x.total} datasets updated"
+        x.dag_id: {
+            "ready": x.ready,
+            "total": x.total,
+        }
         for x in session.query(
             DagScheduleDatasetReference.dag_id,
             func.count().label("total"),
@@ -3416,7 +3419,7 @@ def calculate_dagrun_date_fields(
         )
 
     @provide_session
-    def get_dataset_triggered_next_run_info(self, *, session=NEW_SESSION) -> str | None:
+    def get_dataset_triggered_next_run_info(self, *, session=NEW_SESSION) -> dict[str, int] | None:
         if self.schedule_interval != "Dataset":
             return None
         return get_dataset_triggered_next_run_info([self.dag_id], session=session)[self.dag_id]

airflow/www/templates/airflow/dags.html

@@ -308,7 +308,9 @@ <h2>{{ page_title }}</h2>
                     data-dag-id="{{ dag.dag_id }}"
                     data-summary="{{ dataset_triggered_next_run_info[dag.dag_id] }}"
                   >
-                    {{ dataset_triggered_next_run_info[dag.dag_id] }}
+                    {% with ds_info = dataset_triggered_next_run_info[dag.dag_id] %}
+                    {{ ds_info.ready }} of {{ ds_info.total }} datasets updated
+                    {% endwith %}
                   </div>
                 </span>
               {% endif %}

tests/models/test_dag.py

@@ -3032,12 +3032,21 @@ def test_get_dataset_triggered_next_run_info(dag_maker):
     session.flush()
 
     info = get_dataset_triggered_next_run_info([dag1.dag_id], session=session)
-    assert "0 of 1 datasets updated" == info[dag1.dag_id]
+    assert info[dag1.dag_id] == {
+        "ready": 0,
+        "total": 1,
+    }
 
     # This time, check both dag2 and dag3 at the same time (tests filtering)
     info = get_dataset_triggered_next_run_info([dag2.dag_id, dag3.dag_id], session=session)
-    assert "1 of 2 datasets updated" == info[dag2.dag_id]
-    assert "1 of 3 datasets updated" == info[dag3.dag_id]
+    assert info[dag2.dag_id] == {
+        "ready": 1,
+        "total": 2,
+    }
+    assert info[dag3.dag_id] == {
+        "ready": 1,
+        "total": 3,
+    }
 
 
 def test_dag_uses_timetable_for_run_id(session):