1# Licensed to the Apache Software Foundation (ASF) under one
2# or more contributor license agreements. See the NOTICE file
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5# to you under the Apache License, Version 2.0 (the
6# "License"); you may not use this file except in compliance
7# with the License. You may obtain a copy of the License at
8#
9# http://www.apache.org/licenses/LICENSE-2.0
10#
11# Unless required by applicable law or agreed to in writing,
12# software distributed under the License is distributed on an
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14# KIND, either express or implied. See the License for the
15# specific language governing permissions and limitations
16# under the License.
17
18from __future__ import annotations
19
20from typing import TYPE_CHECKING
21
22if TYPE_CHECKING:
23 from airflow.sdk.definitions.asset import BaseAsset
24
25
26class BaseTimetable:
27 """Base class inherited by all user-facing timetables."""
28
29 can_be_scheduled: bool = True
30 """
31 Whether this timetable can actually schedule runs in an automated manner.
32
33 This defaults to and should generally be *True* (including non periodic
34 execution types like *@once* and data triggered tables), but
35 ``NullTimetable`` sets this to *False*.
36 """
37
38 active_runs_limit: int | None = None
39 """
40 Maximum active runs that can be active at one time for a DAG.
41
42 This is called during DAG initialization, and the return value is used as
43 the DAG's default ``max_active_runs`` if not set on the DAG explicitly. This
44 should generally return *None* (no limit), but some timetables may limit
45 parallelism, such as ``ContinuousTimetable``.
46 """
47
48 asset_condition: BaseAsset | None = None
49
50 def validate(self) -> None:
51 """
52 Validate the timetable is correctly specified.
53
54 Override this method to provide run-time validation raised when a DAG
55 is put into a dagbag. The default implementation does nothing.
56
57 :raises: :class:`~airflow.sdk.exceptions.AirflowTimetableInvalid` on validation failure.
58 """