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