Source code for airflow.providers.amazon.aws.operators.ec2

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from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.ec2 import EC2Hook

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class EC2StartInstanceOperator(BaseOperator): """ Start AWS EC2 instance using boto3. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2StartInstanceOperator` :param instance_id: id of the AWS EC2 instance :param aws_conn_id: aws connection to use :param region_name: (optional) aws region name associated with the client :param check_interval: time in seconds that the job should wait in between each instance state checks until operation is completed """
[docs] template_fields: Sequence[str] = ("instance_id", "region_name")
[docs] ui_color = "#eeaa11"
[docs] ui_fgcolor = "#ffffff"
def __init__( self, *, instance_id: str, aws_conn_id: str = "aws_default", region_name: str | None = None, check_interval: float = 15, **kwargs, ): super().__init__(**kwargs) self.instance_id = instance_id self.aws_conn_id = aws_conn_id self.region_name = region_name self.check_interval = check_interval
[docs] def execute(self, context: Context): ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name) self.log.info("Starting EC2 instance %s", self.instance_id) instance = ec2_hook.get_instance(instance_id=self.instance_id) instance.start() ec2_hook.wait_for_state( instance_id=self.instance_id, target_state="running", check_interval=self.check_interval, )
[docs]class EC2StopInstanceOperator(BaseOperator): """ Stop AWS EC2 instance using boto3. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2StopInstanceOperator` :param instance_id: id of the AWS EC2 instance :param aws_conn_id: aws connection to use :param region_name: (optional) aws region name associated with the client :param check_interval: time in seconds that the job should wait in between each instance state checks until operation is completed """
[docs] template_fields: Sequence[str] = ("instance_id", "region_name")
[docs] ui_color = "#eeaa11"
[docs] ui_fgcolor = "#ffffff"
def __init__( self, *, instance_id: str, aws_conn_id: str = "aws_default", region_name: str | None = None, check_interval: float = 15, **kwargs, ): super().__init__(**kwargs) self.instance_id = instance_id self.aws_conn_id = aws_conn_id self.region_name = region_name self.check_interval = check_interval
[docs] def execute(self, context: Context): ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name) self.log.info("Stopping EC2 instance %s", self.instance_id) instance = ec2_hook.get_instance(instance_id=self.instance_id) instance.stop() ec2_hook.wait_for_state( instance_id=self.instance_id, target_state="stopped", check_interval=self.check_interval, )
[docs]class EC2CreateInstanceOperator(BaseOperator): """ Create and start a specified number of EC2 Instances using boto3. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2CreateInstanceOperator` :param image_id: ID of the AMI used to create the instance. :param max_count: Maximum number of instances to launch. Defaults to 1. :param min_count: Minimum number of instances to launch. Defaults to 1. :param aws_conn_id: AWS connection to use :param region_name: AWS region name associated with the client. :param poll_interval: Number of seconds to wait before attempting to check state of instance. Only used if wait_for_completion is True. Default is 20. :param max_attempts: Maximum number of attempts when checking state of instance. Only used if wait_for_completion is True. Default is 20. :param config: Dictionary for arbitrary parameters to the boto3 run_instances call. :param wait_for_completion: If True, the operator will wait for the instance to be in the `running` state before returning. """
[docs] template_fields: Sequence[str] = ( "image_id", "max_count", "min_count", "aws_conn_id", "region_name", "config", "wait_for_completion", )
def __init__( self, image_id: str, max_count: int = 1, min_count: int = 1, aws_conn_id: str = "aws_default", region_name: str | None = None, poll_interval: int = 20, max_attempts: int = 20, config: dict | None = None, wait_for_completion: bool = False, **kwargs, ): super().__init__(**kwargs) self.image_id = image_id self.max_count = max_count self.min_count = min_count self.aws_conn_id = aws_conn_id self.region_name = region_name self.poll_interval = poll_interval self.max_attempts = max_attempts self.config = config or {} self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context): ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name, api_type="client_type") instances = ec2_hook.conn.run_instances( ImageId=self.image_id, MinCount=self.min_count, MaxCount=self.max_count, **self.config, )["Instances"] instance_ids = self._on_kill_instance_ids = [instance["InstanceId"] for instance in instances] for instance_id in instance_ids: self.log.info("Created EC2 instance %s", instance_id) if self.wait_for_completion: ec2_hook.get_waiter("instance_running").wait( InstanceIds=[instance_id], WaiterConfig={ "Delay": self.poll_interval, "MaxAttempts": self.max_attempts, }, ) # leave "_on_kill_instance_ids" in place for finishing post-processing return instance_ids
[docs] def on_kill(self) -> None: instance_ids = getattr(self, "_on_kill_instance_ids", []) if instance_ids: self.log.info("on_kill: Terminating instance/s %s", ", ".join(instance_ids)) ec2_hook = EC2Hook( aws_conn_id=self.aws_conn_id, region_name=self.region_name, api_type="client_type", ) ec2_hook.conn.terminate_instances(InstanceIds=instance_ids) super().on_kill()
[docs]class EC2TerminateInstanceOperator(BaseOperator): """ Terminate EC2 Instances using boto3. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2TerminateInstanceOperator` :param instance_id: ID of the instance to be terminated. :param aws_conn_id: AWS connection to use :param region_name: AWS region name associated with the client. :param poll_interval: Number of seconds to wait before attempting to check state of instance. Only used if wait_for_completion is True. Default is 20. :param max_attempts: Maximum number of attempts when checking state of instance. Only used if wait_for_completion is True. Default is 20. :param wait_for_completion: If True, the operator will wait for the instance to be in the `terminated` state before returning. """
[docs] template_fields: Sequence[str] = ("instance_ids", "region_name", "aws_conn_id", "wait_for_completion")
def __init__( self, instance_ids: str | list[str], aws_conn_id: str = "aws_default", region_name: str | None = None, poll_interval: int = 20, max_attempts: int = 20, wait_for_completion: bool = False, **kwargs, ): super().__init__(**kwargs) self.instance_ids = instance_ids self.aws_conn_id = aws_conn_id self.region_name = region_name self.poll_interval = poll_interval self.max_attempts = max_attempts self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context): if isinstance(self.instance_ids, str): self.instance_ids = [self.instance_ids] ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name, api_type="client_type") ec2_hook.conn.terminate_instances(InstanceIds=self.instance_ids) for instance_id in self.instance_ids: self.log.info("Terminating EC2 instance %s", instance_id) if self.wait_for_completion: ec2_hook.get_waiter("instance_terminated").wait( InstanceIds=[instance_id], WaiterConfig={ "Delay": self.poll_interval, "MaxAttempts": self.max_attempts, }, )
[docs]class EC2RebootInstanceOperator(BaseOperator): """ Reboot Amazon EC2 instances. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2RebootInstanceOperator` :param instance_ids: ID of the instance(s) to be rebooted. :param aws_conn_id: AWS connection to use :param region_name: AWS region name associated with the client. :param poll_interval: Number of seconds to wait before attempting to check state of instance. Only used if wait_for_completion is True. Default is 20. :param max_attempts: Maximum number of attempts when checking state of instance. Only used if wait_for_completion is True. Default is 20. :param wait_for_completion: If True, the operator will wait for the instance to be in the `running` state before returning. """
[docs] template_fields: Sequence[str] = ("instance_ids", "region_name")
[docs] ui_color = "#eeaa11"
[docs] ui_fgcolor = "#ffffff"
def __init__( self, *, instance_ids: str | list[str], aws_conn_id: str = "aws_default", region_name: str | None = None, poll_interval: int = 20, max_attempts: int = 20, wait_for_completion: bool = False, **kwargs, ): super().__init__(**kwargs) self.instance_ids = instance_ids self.aws_conn_id = aws_conn_id self.region_name = region_name self.poll_interval = poll_interval self.max_attempts = max_attempts self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context): if isinstance(self.instance_ids, str): self.instance_ids = [self.instance_ids] ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name, api_type="client_type") self.log.info("Rebooting EC2 instances %s", ", ".join(self.instance_ids)) ec2_hook.conn.reboot_instances(InstanceIds=self.instance_ids) if self.wait_for_completion: ec2_hook.get_waiter("instance_running").wait( InstanceIds=self.instance_ids, WaiterConfig={ "Delay": self.poll_interval, "MaxAttempts": self.max_attempts, }, )
[docs]class EC2HibernateInstanceOperator(BaseOperator): """ Hibernate Amazon EC2 instances. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2HibernateInstanceOperator` :param instance_ids: ID of the instance(s) to be hibernated. :param aws_conn_id: AWS connection to use :param region_name: AWS region name associated with the client. :param poll_interval: Number of seconds to wait before attempting to check state of instance. Only used if wait_for_completion is True. Default is 20. :param max_attempts: Maximum number of attempts when checking state of instance. Only used if wait_for_completion is True. Default is 20. :param wait_for_completion: If True, the operator will wait for the instance to be in the `stopped` state before returning. """
[docs] template_fields: Sequence[str] = ("instance_ids", "region_name")
[docs] ui_color = "#eeaa11"
[docs] ui_fgcolor = "#ffffff"
def __init__( self, *, instance_ids: str | list[str], aws_conn_id: str = "aws_default", region_name: str | None = None, poll_interval: int = 20, max_attempts: int = 20, wait_for_completion: bool = False, **kwargs, ): super().__init__(**kwargs) self.instance_ids = instance_ids self.aws_conn_id = aws_conn_id self.region_name = region_name self.poll_interval = poll_interval self.max_attempts = max_attempts self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context): if isinstance(self.instance_ids, str): self.instance_ids = [self.instance_ids] ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name, api_type="client_type") self.log.info("Hibernating EC2 instances %s", ", ".join(self.instance_ids)) instances = ec2_hook.get_instances(instance_ids=self.instance_ids) for instance in instances: hibernation_options = instance.get("HibernationOptions") if not hibernation_options or not hibernation_options["Configured"]: raise AirflowException(f"Instance {instance['InstanceId']} is not configured for hibernation") ec2_hook.conn.stop_instances(InstanceIds=self.instance_ids, Hibernate=True) if self.wait_for_completion: ec2_hook.get_waiter("instance_stopped").wait( InstanceIds=self.instance_ids, WaiterConfig={ "Delay": self.poll_interval, "MaxAttempts": self.max_attempts, }, )

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