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

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from __future__ import annotations

from collections.abc import Sequence
from typing import TYPE_CHECKING, Any

from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.ssm import SsmHook
from airflow.providers.amazon.aws.operators.base_aws import AwsBaseOperator
from airflow.providers.amazon.aws.triggers.ssm import SsmRunCommandTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.providers.amazon.aws.utils.mixins import aws_template_fields

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs] class SsmRunCommandOperator(AwsBaseOperator[SsmHook]): """ Executes the SSM Run Command to perform actions on managed instances. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:SsmRunCommandOperator` :param document_name: The name of the Amazon Web Services Systems Manager document (SSM document) to run. :param run_command_kwargs: Optional parameters to pass to the send_command API. :param wait_for_completion: Whether to wait for cluster to stop. (default: True) :param waiter_delay: Time in seconds to wait between status checks. (default: 120) :param waiter_max_attempts: Maximum number of attempts to check for job completion. (default: 75) :param deferrable: If True, the operator will wait asynchronously for the cluster to stop. This implies waiting for completion. This mode requires aiobotocore module to be installed. (default: False) :param aws_conn_id: The Airflow connection used for AWS credentials. If this is ``None`` or empty then the default boto3 behaviour is used. If running Airflow in a distributed manner and aws_conn_id is None or empty, then default boto3 configuration would be used (and must be maintained on each worker node). :param region_name: AWS region_name. If not specified then the default boto3 behaviour is used. :param verify: Whether or not to verify SSL certificates. See: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html :param botocore_config: Configuration dictionary (key-values) for botocore client. See: https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html """
[docs] aws_hook_class = SsmHook
[docs] template_fields: Sequence[str] = aws_template_fields( "document_name", "run_command_kwargs", )
def __init__( self, *, document_name: str, run_command_kwargs: dict[str, Any] | None = None, wait_for_completion: bool = True, waiter_delay: int = 120, waiter_max_attempts: int = 75, deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False), **kwargs, ): super().__init__(**kwargs)
[docs] self.wait_for_completion = wait_for_completion
[docs] self.waiter_delay = waiter_delay
[docs] self.waiter_max_attempts = waiter_max_attempts
[docs] self.deferrable = deferrable
[docs] self.document_name = document_name
[docs] self.run_command_kwargs = run_command_kwargs or {}
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> str: event = validate_execute_complete_event(event) if event["status"] != "success": raise AirflowException(f"Error while running run command: {event}") self.log.info("SSM run command `%s` completed.", event["command_id"]) return event["command_id"]
[docs] def execute(self, context: Context): response = self.hook.conn.send_command( DocumentName=self.document_name, **self.run_command_kwargs, ) command_id = response["Command"]["CommandId"] task_description = f"SSM run command {command_id} to complete." if self.deferrable: self.log.info("Deferring for %s", task_description) self.defer( trigger=SsmRunCommandTrigger( command_id=command_id, waiter_delay=self.waiter_delay, waiter_max_attempts=self.waiter_max_attempts, aws_conn_id=self.aws_conn_id, ), method_name="execute_complete", ) elif self.wait_for_completion: self.log.info("Waiting for %s", task_description) waiter = self.hook.get_waiter("command_executed") instance_ids = response["Command"]["InstanceIds"] for instance_id in instance_ids: waiter.wait( CommandId=command_id, InstanceId=instance_id, WaiterConfig={"Delay": self.waiter_delay, "MaxAttempts": self.waiter_max_attempts}, ) return command_id

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