Source code for airflow.providers.amazon.aws.operators.mwaa

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"""This module contains AWS MWAA operators."""

from __future__ import annotations

from collections.abc import Sequence
from typing import TYPE_CHECKING

from airflow.providers.amazon.aws.hooks.mwaa import MwaaHook
from airflow.providers.amazon.aws.operators.base_aws import AwsBaseOperator
from airflow.providers.amazon.aws.utils.mixins import aws_template_fields

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs] class MwaaTriggerDagRunOperator(AwsBaseOperator[MwaaHook]): """ Trigger a Dag Run for a Dag in an Amazon MWAA environment. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:MwaaTriggerDagRunOperator` :param env_name: The MWAA environment name (templated) :param trigger_dag_id: The ID of the DAG to be triggered (templated) :param trigger_run_id: The Run ID. This together with trigger_dag_id are a unique key. (templated) :param logical_date: The logical date (previously called execution date). This is the time or interval covered by this DAG run, according to the DAG definition. This together with trigger_dag_id are a unique key. (templated) :param data_interval_start: The beginning of the interval the DAG run covers :param data_interval_end: The end of the interval the DAG run covers :param conf: Additional configuration parameters. The value of this field can be set only when creating the object. (templated) :param note: Contains manually entered notes by the user about the DagRun. (templated) """
[docs] aws_hook_class = MwaaHook
[docs] template_fields: Sequence[str] = aws_template_fields( "env_name", "trigger_dag_id", "trigger_run_id", "logical_date", "data_interval_start", "data_interval_end", "conf", "note", )
[docs] template_fields_renderers = {"conf": "json"}
def __init__( self, *, env_name: str, trigger_dag_id: str, trigger_run_id: str | None = None, logical_date: str | None = None, data_interval_start: str | None = None, data_interval_end: str | None = None, conf: dict | None = None, note: str | None = None, **kwargs, ): super().__init__(**kwargs)
[docs] self.env_name = env_name
[docs] self.trigger_dag_id = trigger_dag_id
[docs] self.trigger_run_id = trigger_run_id
[docs] self.logical_date = logical_date
[docs] self.data_interval_start = data_interval_start
[docs] self.data_interval_end = data_interval_end
[docs] self.conf = conf if conf else {}
[docs] self.note = note
[docs] def execute(self, context: Context) -> dict: """ Trigger a Dag Run for the Dag in the Amazon MWAA environment. :param context: the Context object :return: dict with information about the Dag run For details of the returned dict, see :py:meth:`botocore.client.MWAA.invoke_rest_api` """ return self.hook.invoke_rest_api( env_name=self.env_name, path=f"/dags/{self.trigger_dag_id}/dagRuns", method="POST", body={ "dag_run_id": self.trigger_run_id, "logical_date": self.logical_date, "data_interval_start": self.data_interval_start, "data_interval_end": self.data_interval_end, "conf": self.conf, "note": self.note, }, )

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