Source code for airflow.providers.amazon.aws.sensors.redshift_cluster

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from __future__ import annotations

from collections.abc import Sequence
from datetime import timedelta
from functools import cached_property
from typing import TYPE_CHECKING, Any

from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.redshift_cluster import RedshiftHook
from airflow.providers.amazon.aws.triggers.redshift_cluster import RedshiftClusterTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.sensors.base import BaseSensorOperator

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class RedshiftClusterSensor(BaseSensorOperator): """ Waits for a Redshift cluster to reach a specific status. .. seealso:: For more information on how to use this sensor, take a look at the guide: :ref:`howto/sensor:RedshiftClusterSensor` :param cluster_identifier: The identifier for the cluster being pinged. :param target_status: The cluster status desired. :param deferrable: Run operator in the deferrable mode. """
[docs] template_fields: Sequence[str] = ("cluster_identifier", "target_status")
def __init__( self, *, cluster_identifier: str, target_status: str = "available", aws_conn_id: str | None = "aws_default", deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False), **kwargs, ): super().__init__(**kwargs) self.cluster_identifier = cluster_identifier self.target_status = target_status self.aws_conn_id = aws_conn_id self.deferrable = deferrable
[docs] def poke(self, context: Context) -> bool: current_status = self.hook.cluster_status(self.cluster_identifier) self.log.info( "Poked cluster %s for status '%s', found status '%s'", self.cluster_identifier, self.target_status, current_status, ) return current_status == self.target_status
[docs] def execute(self, context: Context) -> None: if not self.deferrable: super().execute(context=context) elif not self.poke(context): self.defer( timeout=timedelta(seconds=self.timeout), trigger=RedshiftClusterTrigger( aws_conn_id=self.aws_conn_id, cluster_identifier=self.cluster_identifier, target_status=self.target_status, poke_interval=self.poke_interval, ), method_name="execute_complete", )
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> None: event = validate_execute_complete_event(event) status = event["status"] if status == "error": raise AirflowException(f"{event['status']}: {event['message']}") elif status == "success": self.log.info("%s completed successfully.", self.task_id) self.log.info("Cluster Identifier %s is in %s state", self.cluster_identifier, self.target_status)
@cached_property
[docs] def hook(self) -> RedshiftHook: return RedshiftHook(aws_conn_id=self.aws_conn_id)

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