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# -*- coding: utf-8 -*-
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import datetime
from typing import Callable, Union, Optional, Dict
from airflow.models import BaseOperator
from airflow.utils import timezone
from airflow.utils.decorators import apply_defaults
from airflow.api.common.experimental.trigger_dag import trigger_dag
import json
class DagRunOrder:
def __init__(self, run_id=None, payload=None):
self.run_id = run_id
self.payload = payload
class TriggerDagRunOperator(BaseOperator):
Triggers a DAG run for a specified ``dag_id``
:param trigger_dag_id: the dag_id to trigger (templated)
:type trigger_dag_id: str
:param python_callable: a reference to a python function that will be
called while passing it the ``context`` object and a placeholder
object ``obj`` for your callable to fill and return if you want
a DagRun created. This ``obj`` object contains a ``run_id`` and
``payload`` attribute that you can modify in your function.
The ``run_id`` should be a unique identifier for that DAG run, and
the payload has to be a picklable object that will be made available
to your tasks while executing that DAG run. Your function header
should look like ``def foo(context, dag_run_obj):``
:type python_callable: python callable
:param execution_date: Execution date for the dag (templated)
:type execution_date: str or datetime.datetime
template_fields = ('trigger_dag_id', 'execution_date')
ui_color = '#ffefeb'
def __init__(
trigger_dag_id: str,
python_callable: Callable[[Dict, DagRunOrder], DagRunOrder] = None,
execution_date: Optional[Union[str, datetime.datetime]] = None,
*args, **kwargs) -> None:
super().__init__(*args, **kwargs)
self.python_callable = python_callable
self.trigger_dag_id = trigger_dag_id
self.execution_date = None # type: Optional[Union[str, datetime.datetime]]
if isinstance(execution_date, datetime.datetime):
self.execution_date = execution_date.isoformat()
elif isinstance(execution_date, str):
self.execution_date = execution_date
elif execution_date is None:
self.execution_date = None
raise TypeError(
'Expected str or datetime.datetime type '
'for execution_date. Got {}'.format(
def execute(self, context):
if self.execution_date is not None:
run_id = 'trig__{}'.format(self.execution_date)
self.execution_date = timezone.parse(self.execution_date)
run_id = 'trig__' + timezone.utcnow().isoformat()
dro = DagRunOrder(run_id=run_id)
if self.python_callable is not None:
dro = self.python_callable(context, dro)
if dro:
else:"Criteria not met, moving on")
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