[Backport] Deprecate implicit default DAG schedule

airflow/example_dags/example_dynamic_task_mapping.py

@@ -24,7 +24,7 @@
 from airflow.decorators import task
 from airflow.models.dag import DAG
 
-with DAG(dag_id="example_dynamic_task_mapping", start_date=datetime(2022, 3, 4)) as dag:
+with DAG(dag_id="example_dynamic_task_mapping", schedule=None, start_date=datetime(2022, 3, 4)) as dag:
 
     @task
     def add_one(x: int):

airflow/example_dags/example_dynamic_task_mapping_with_no_taskflow_operators.py

@@ -53,6 +53,7 @@ def execute(self, context):
 
 with DAG(
     dag_id="example_dynamic_task_mapping_with_no_taskflow_operators",
+    schedule=None,
     start_date=datetime(2022, 3, 4),
     catchup=False,
 ):

airflow/example_dags/example_setup_teardown.py

@@ -27,6 +27,7 @@
 
 with DAG(
     dag_id="example_setup_teardown",
+    schedule=None,
     start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
     catchup=False,
     tags=["example"],

airflow/example_dags/example_setup_teardown_taskflow.py

@@ -26,6 +26,7 @@
 
 with DAG(
     dag_id="example_setup_teardown_taskflow",
+    schedule=None,
     start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
     catchup=False,
     tags=["example"],

airflow/example_dags/example_short_circuit_decorator.py

@@ -26,7 +26,7 @@
 from airflow.utils.trigger_rule import TriggerRule
 
 
-@dag(start_date=pendulum.datetime(2021, 1, 1, tz="UTC"), catchup=False, tags=["example"])
+@dag(schedule=None, start_date=pendulum.datetime(2021, 1, 1, tz="UTC"), catchup=False, tags=["example"])
 def example_short_circuit_decorator():
     # [START howto_operator_short_circuit]
     @task.short_circuit()

airflow/example_dags/example_short_circuit_operator.py

@@ -29,6 +29,7 @@
 
 with DAG(
     dag_id="example_short_circuit_operator",
+    schedule=None,
     start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
     catchup=False,
     tags=["example"],

airflow/example_dags/example_skip_dag.py

@@ -19,6 +19,7 @@
 
 from __future__ import annotations
 
+import datetime
 from typing import TYPE_CHECKING
 
 import pendulum
@@ -63,6 +64,7 @@ def create_test_pipeline(suffix, trigger_rule):
 
 with DAG(
     dag_id="example_skip_dag",
+    schedule=datetime.timedelta(days=1),
     start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
     catchup=False,
     tags=["example"],

airflow/example_dags/example_task_group.py

@@ -29,6 +29,7 @@
 # [START howto_task_group]
 with DAG(
     dag_id="example_task_group",
+    schedule=None,
     start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
     catchup=False,
     tags=["example"],

airflow/example_dags/example_task_group_decorator.py

@@ -67,6 +67,7 @@ def task_group_function(value: int) -> None:
 # Executing Tasks and TaskGroups
 with DAG(
     dag_id="example_task_group_decorator",
+    schedule=None,
     start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
     catchup=False,
     tags=["example"],

airflow/models/dag.py

@@ -684,6 +684,12 @@ def __init__(
             self.timetable = DatasetTriggeredTimetable(DatasetAll(*schedule))
             self.schedule_interval = self.timetable.summary
         elif isinstance(schedule, ArgNotSet):
+            warnings.warn(
+                "Creating a DAG with an implicit schedule is deprecated, and will stop working "
+                "in a future release. Set `schedule=datetime.timedelta(days=1)` explicitly.",
+                RemovedInAirflow3Warning,
+                stacklevel=2,
+            )
             self.timetable = create_timetable(schedule, self.timezone)
             self.schedule_interval = DEFAULT_SCHEDULE_INTERVAL
         else:
@@ -3647,7 +3653,7 @@ def get_serialized_fields(cls):
                 "auto_register",
                 "fail_stop",
             }
-            cls.__serialized_fields = frozenset(vars(DAG(dag_id="test"))) - exclusion_list
+            cls.__serialized_fields = frozenset(vars(DAG(dag_id="test", schedule=None))) - exclusion_list
         return cls.__serialized_fields
 
     def get_edge_info(self, upstream_task_id: str, downstream_task_id: str) -> EdgeInfoType:

airflow/serialization/serialized_objects.py

@@ -1663,7 +1663,7 @@ def serialize_dag(cls, dag: DAG) -> dict:
     @classmethod
     def deserialize_dag(cls, encoded_dag: dict[str, Any]) -> SerializedDAG:
         """Deserializes a DAG from a JSON object."""
-        dag = SerializedDAG(dag_id=encoded_dag["_dag_id"])
+        dag = SerializedDAG(dag_id=encoded_dag["_dag_id"], schedule=None)
 
         for k, v in encoded_dag.items():
             if k == "_downstream_task_ids":

kubernetes_tests/test_kubernetes_pod_operator.py

@@ -50,7 +50,7 @@
 
 
 def create_context(task) -> Context:
-    dag = DAG(dag_id="dag")
+    dag = DAG(dag_id="dag", schedule=None)
     execution_date = timezone.datetime(
         2016, 1, 1, 1, 0, 0, tzinfo=timezone.parse_timezone("Europe/Amsterdam")
     )

tests/api_connexion/endpoints/test_dag_endpoint.py

@@ -86,17 +86,18 @@ def configured_app(minimal_app_for_api):
 
     with DAG(
         DAG_ID,
+        schedule=None,
         start_date=datetime(2020, 6, 15),
         doc_md="details",
         params={"foo": 1},
         tags=["example"],
     ) as dag:
         EmptyOperator(task_id=TASK_ID)
 
-    with DAG(DAG2_ID, start_date=datetime(2020, 6, 15)) as dag2:  # no doc_md
+    with DAG(DAG2_ID, schedule=None, start_date=datetime(2020, 6, 15)) as dag2:  # no doc_md
         EmptyOperator(task_id=TASK_ID)
 
-    with DAG(DAG3_ID) as dag3:  # DAG start_date set to None
+    with DAG(DAG3_ID, schedule=None) as dag3:  # DAG start_date set to None
         EmptyOperator(task_id=TASK_ID, start_date=datetime(2019, 6, 12))
 
     dag_bag = DagBag(os.devnull, include_examples=False)
@@ -988,10 +989,10 @@ def test_only_active_false_returns_all_dags(self, url_safe_serializer):
     )
     def test_filter_dags_by_tags_works(self, url, expected_dag_ids):
         # test filter by tags
-        dag1 = DAG(dag_id="TEST_DAG_1", tags=["t1"])
-        dag2 = DAG(dag_id="TEST_DAG_2", tags=["t2"])
-        dag3 = DAG(dag_id="TEST_DAG_3", tags=["t1", "t2"])
-        dag4 = DAG(dag_id="TEST_DAG_4")
+        dag1 = DAG(dag_id="TEST_DAG_1", schedule=None, tags=["t1"])
+        dag2 = DAG(dag_id="TEST_DAG_2", schedule=None, tags=["t2"])
+        dag3 = DAG(dag_id="TEST_DAG_3", schedule=None, tags=["t1", "t2"])
+        dag4 = DAG(dag_id="TEST_DAG_4", schedule=None)
         dag1.sync_to_db()
         dag2.sync_to_db()
         dag3.sync_to_db()
@@ -1016,10 +1017,10 @@ def test_filter_dags_by_tags_works(self, url, expected_dag_ids):
     )
     def test_filter_dags_by_dag_id_works(self, url, expected_dag_ids):
         # test filter by tags
-        dag1 = DAG(dag_id="TEST_DAG_1")
-        dag2 = DAG(dag_id="TEST_DAG_2")
-        dag3 = DAG(dag_id="SAMPLE_DAG_1")
-        dag4 = DAG(dag_id="SAMPLE_DAG_2")
+        dag1 = DAG(dag_id="TEST_DAG_1", schedule=None)
+        dag2 = DAG(dag_id="TEST_DAG_2", schedule=None)
+        dag3 = DAG(dag_id="SAMPLE_DAG_1", schedule=None)
+        dag4 = DAG(dag_id="SAMPLE_DAG_2", schedule=None)
         dag1.sync_to_db()
         dag2.sync_to_db()
         dag3.sync_to_db()
@@ -1938,10 +1939,10 @@ def test_only_active_false_returns_all_dags(self, url_safe_serializer, session):
     )
     def test_filter_dags_by_tags_works(self, url, expected_dag_ids):
         # test filter by tags
-        dag1 = DAG(dag_id="TEST_DAG_1", tags=["t1"])
-        dag2 = DAG(dag_id="TEST_DAG_2", tags=["t2"])
-        dag3 = DAG(dag_id="TEST_DAG_3", tags=["t1", "t2"])
-        dag4 = DAG(dag_id="TEST_DAG_4")
+        dag1 = DAG(dag_id="TEST_DAG_1", schedule=None, tags=["t1"])
+        dag2 = DAG(dag_id="TEST_DAG_2", schedule=None, tags=["t2"])
+        dag3 = DAG(dag_id="TEST_DAG_3", schedule=None, tags=["t1", "t2"])
+        dag4 = DAG(dag_id="TEST_DAG_4", schedule=None)
         dag1.sync_to_db()
         dag2.sync_to_db()
         dag3.sync_to_db()
@@ -1971,10 +1972,10 @@ def test_filter_dags_by_tags_works(self, url, expected_dag_ids):
     )
     def test_filter_dags_by_dag_id_works(self, url, expected_dag_ids):
         # test filter by tags
-        dag1 = DAG(dag_id="TEST_DAG_1")
-        dag2 = DAG(dag_id="TEST_DAG_2")
-        dag3 = DAG(dag_id="SAMPLE_DAG_1")
-        dag4 = DAG(dag_id="SAMPLE_DAG_2")
+        dag1 = DAG(dag_id="TEST_DAG_1", schedule=None)
+        dag2 = DAG(dag_id="TEST_DAG_2", schedule=None)
+        dag3 = DAG(dag_id="SAMPLE_DAG_1", schedule=None)
+        dag4 = DAG(dag_id="SAMPLE_DAG_2", schedule=None)
         dag1.sync_to_db()
         dag2.sync_to_db()
         dag3.sync_to_db()

tests/api_connexion/endpoints/test_extra_link_endpoint.py

@@ -95,7 +95,7 @@ def teardown_method(self) -> None:
         clear_db_xcom()
 
     def _create_dag(self):
-        with DAG(dag_id="TEST_DAG_ID", default_args={"start_date": self.default_time}) as dag:
+        with DAG(dag_id="TEST_DAG_ID", schedule=None, default_args={"start_date": self.default_time}) as dag:
             CustomOperator(task_id="TEST_SINGLE_LINK", bash_command="TEST_LINK_VALUE")
             CustomOperator(
                 task_id="TEST_MULTIPLE_LINK", bash_command=["TEST_LINK_VALUE_1", "TEST_LINK_VALUE_2"]

tests/api_connexion/endpoints/test_log_endpoint.py

@@ -284,7 +284,7 @@ def test_get_logs_of_removed_task(self, request_url, expected_filename, extra_qu
 
         # Recreate DAG without tasks
         dagbag = self.app.dag_bag
-        dag = DAG(self.DAG_ID, start_date=timezone.parse(self.default_time))
+        dag = DAG(self.DAG_ID, schedule=None, start_date=timezone.parse(self.default_time))
         del dagbag.dags[self.DAG_ID]
         dagbag.bag_dag(dag=dag, root_dag=dag)
 

tests/api_connexion/endpoints/test_task_endpoint.py

@@ -70,11 +70,11 @@ class TestTaskEndpoint:
 
     @pytest.fixture(scope="class")
     def setup_dag(self, configured_app):
-        with DAG(self.dag_id, start_date=self.task1_start_date, doc_md="details") as dag:
+        with DAG(self.dag_id, schedule=None, start_date=self.task1_start_date, doc_md="details") as dag:
             task1 = EmptyOperator(task_id=self.task_id, params={"foo": "bar"})
             task2 = EmptyOperator(task_id=self.task_id2, start_date=self.task2_start_date)
 
-        with DAG(self.mapped_dag_id, start_date=self.task1_start_date) as mapped_dag:
+        with DAG(self.mapped_dag_id, schedule=None, start_date=self.task1_start_date) as mapped_dag:
             EmptyOperator(task_id=self.task_id3)
             # Use the private _expand() method to avoid the empty kwargs check.
             # We don't care about how the operator runs here, only its presence.

tests/api_connexion/schemas/test_dag_schema.py

@@ -16,7 +16,7 @@
 # under the License.
 from __future__ import annotations
 
-from datetime import datetime
+from datetime import datetime, timedelta
 
 import pendulum
 import pytest
@@ -158,6 +158,7 @@ def test_serialize_test_dag_collection_schema(url_safe_serializer):
 def test_serialize_test_dag_detail_schema(url_safe_serializer):
     dag = DAG(
         dag_id="test_dag",
+        schedule=timedelta(days=1),
         start_date=datetime(2020, 6, 19),
         doc_md="docs",
         orientation="LR",

tests/api_experimental/common/test_delete_dag.py

@@ -73,7 +73,11 @@ def setup_dag_models(self, for_sub_dag=False):
 
         task = EmptyOperator(
             task_id="dummy",
-            dag=DAG(dag_id=self.key, default_args={"start_date": timezone.datetime(2022, 1, 1)}),
+            dag=DAG(
+                dag_id=self.key,
+                schedule=None,
+                default_args={"start_date": timezone.datetime(2022, 1, 1)},
+            ),
             owner="airflow",
         )
 

tests/api_experimental/common/test_trigger_dag.py

@@ -48,7 +48,7 @@ def test_trigger_dag_dag_not_found(self, dag_bag_mock):
     @mock.patch("airflow.models.DagBag")
     def test_trigger_dag_dag_run_exist(self, dag_bag_mock, dag_run_mock):
         dag_id = "dag_run_exist"
-        dag = DAG(dag_id)
+        dag = DAG(dag_id, schedule=None)
         dag_bag_mock.dags = [dag_id]
         dag_bag_mock.get_dag.return_value = dag
         dag_run_mock.find_duplicate.return_value = DagRun()
@@ -90,7 +90,11 @@ def test_trigger_dag_include_nested_subdags(self, dag_bag_mock, dag_run_mock, da
     @mock.patch("airflow.models.DagBag")
     def test_trigger_dag_with_too_early_start_date(self, dag_bag_mock):
         dag_id = "trigger_dag_with_too_early_start_date"
-        dag = DAG(dag_id, default_args={"start_date": timezone.datetime(2016, 9, 5, 10, 10, 0)})
+        dag = DAG(
+            dag_id=dag_id,
+            schedule=None,
+            default_args={"start_date": timezone.datetime(2016, 9, 5, 10, 10, 0)},
+        )
         dag_bag_mock.dags = [dag_id]
         dag_bag_mock.get_dag.return_value = dag
 
@@ -100,7 +104,11 @@ def test_trigger_dag_with_too_early_start_date(self, dag_bag_mock):
     @mock.patch("airflow.models.DagBag")
     def test_trigger_dag_with_valid_start_date(self, dag_bag_mock):
         dag_id = "trigger_dag_with_valid_start_date"
-        dag = DAG(dag_id, default_args={"start_date": timezone.datetime(2016, 9, 5, 10, 10, 0)})
+        dag = DAG(
+            dag_id=dag_id,
+            schedule=None,
+            default_args={"start_date": timezone.datetime(2016, 9, 5, 10, 10, 0)},
+        )
         dag_bag_mock.dags = [dag_id]
         dag_bag_mock.get_dag.return_value = dag
         dag_bag_mock.dags_hash = {}
@@ -120,7 +128,7 @@ def test_trigger_dag_with_valid_start_date(self, dag_bag_mock):
     @mock.patch("airflow.models.DagBag")
     def test_trigger_dag_with_conf(self, dag_bag_mock, conf, expected_conf):
         dag_id = "trigger_dag_with_conf"
-        dag = DAG(dag_id)
+        dag = DAG(dag_id, schedule=None)
         dag_bag_mock.dags = [dag_id]
         dag_bag_mock.get_dag.return_value = dag
 

tests/callbacks/test_callback_requests.py

@@ -69,7 +69,10 @@ def test_from_json(self, input, request_class):
         if input is None:
             ti = TaskInstance(
                 task=BashOperator(
-                    task_id="test", bash_command="true", dag=DAG(dag_id="id"), start_date=datetime.now()
+                    task_id="test",
+                    bash_command="true",
+                    start_date=datetime.now(),
+                    dag=DAG(dag_id="id", schedule=None),
                 ),
                 run_id="fake_run",
                 state=State.RUNNING,

tests/conftest.py

@@ -818,6 +818,7 @@ def dag_maker(request):
     if serialized_marker:
         (want_serialized,) = serialized_marker.args or (True,)
 
+    from airflow.utils.helpers import NOTSET
     from airflow.utils.log.logging_mixin import LoggingMixin
 
     class DagFactory(LoggingMixin):
@@ -923,6 +924,7 @@ def create_dagrun_after(self, dagrun, **kwargs):
         def __call__(
             self,
             dag_id="test_dag",
+            schedule=NOTSET,
             serialized=want_serialized,
             fileloc=None,
             processor_subdir=None,
@@ -951,6 +953,12 @@ def __call__(
                     DEFAULT_DATE = timezone.datetime(2016, 1, 1)
                     self.start_date = DEFAULT_DATE
             self.kwargs["start_date"] = self.start_date
+            # Set schedule argument to explicitly set value, or a default if no
+            # other scheduling arguments are set.
+            if schedule is not NOTSET:
+                self.kwargs["schedule"] = schedule
+            elif "timetable" not in self.kwargs and "schedule_interval" not in self.kwargs:
+                self.kwargs["schedule"] = timedelta(days=1)
             self.dag = DAG(dag_id, **self.kwargs)
             self.dag.fileloc = fileloc or request.module.__file__
             self.want_serialized = serialized

tests/dag_processing/test_job_runner.py

@@ -62,7 +62,13 @@
 from tests.models import TEST_DAGS_FOLDER
 from tests.test_utils.compat import ParseImportError
 from tests.test_utils.config import conf_vars
-from tests.test_utils.db import clear_db_callbacks, clear_db_dags, clear_db_runs, clear_db_serialized_dags
+from tests.test_utils.db import (
+    clear_db_callbacks,
+    clear_db_dags,
+    clear_db_import_errors,
+    clear_db_runs,
+    clear_db_serialized_dags,
+)
 
 pytestmark = pytest.mark.db_test
 
@@ -148,7 +154,12 @@ def run_processor_manager_one_loop(self, manager, parent_pipe):
                     return results
             raise RuntimeError("Shouldn't get here - nothing to read, but manager not finished!")
 
+    @pytest.fixture
+    def clear_parse_import_errors(self):
+        clear_db_import_errors()
+
     @pytest.mark.skip_if_database_isolation_mode  # Test is broken in db isolation mode
+    @pytest.mark.usefixtures("clear_parse_import_errors")
     @conf_vars({("core", "load_examples"): "False"})
     def test_remove_file_clears_import_error(self, tmp_path):
         path_to_parse = tmp_path / "temp_dag.py"

tests/dags/test_cli_triggered_dags.py

@@ -39,7 +39,9 @@ def success(ti=None, *args, **kwargs):
 # DAG tests that tasks ignore all dependencies
 
 dag1 = DAG(
-    dag_id="test_run_ignores_all_dependencies", default_args=dict(depends_on_past=True, **default_args)
+    dag_id="test_run_ignores_all_dependencies",
+    schedule=None,
+    default_args={"depends_on_past": True, **default_args},
 )
 dag1_task1 = PythonOperator(task_id="test_run_dependency_task", python_callable=fail, dag=dag1)
 dag1_task2 = PythonOperator(task_id="test_run_dependent_task", python_callable=success, dag=dag1)

tests/dags/test_dagrun_fast_follow.py

@@ -31,7 +31,7 @@
 
 
 dag_id = "test_dagrun_fast_follow"
-dag = DAG(dag_id=dag_id, default_args=args)
+dag = DAG(dag_id=dag_id, schedule=None, default_args=args)
 
 # A -> B -> C
 task_a = PythonOperator(task_id="A", dag=dag, python_callable=lambda: True)