Source code for airflow.providers.amazon.aws.triggers.emr

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from __future__ import annotations

import warnings
from typing import TYPE_CHECKING

from airflow.exceptions import AirflowProviderDeprecationWarning
from airflow.providers.amazon.aws.hooks.emr import EmrContainerHook, EmrHook, EmrServerlessHook
from airflow.providers.amazon.aws.triggers.base import AwsBaseWaiterTrigger

if TYPE_CHECKING:
    from airflow.providers.amazon.aws.hooks.base_aws import AwsGenericHook


[docs]class EmrAddStepsTrigger(AwsBaseWaiterTrigger): """ Poll for the status of EMR steps until they reach terminal state. :param job_flow_id: job_flow_id which contains the steps to check the state of :param step_ids: steps to check the state of :param waiter_delay: polling period in seconds to check for the status :param waiter_max_attempts: The maximum number of attempts to be made :param aws_conn_id: Reference to AWS connection id """ def __init__( self, job_flow_id: str, step_ids: list[str], waiter_delay: int, waiter_max_attempts: int, aws_conn_id: str = "aws_default", ): super().__init__( serialized_fields={"job_flow_id": job_flow_id, "step_ids": step_ids}, waiter_name="steps_wait_for_terminal", waiter_args={"ClusterId": job_flow_id, "StepIds": step_ids}, failure_message=f"Error while waiting for steps {step_ids} to complete", status_message=f"Step ids: {step_ids}, Steps are still in non-terminal state", status_queries=[ "Steps[].Status.State", "Steps[].Status.FailureDetails", ], return_value=step_ids, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrHook(aws_conn_id=self.aws_conn_id)
[docs]class EmrCreateJobFlowTrigger(AwsBaseWaiterTrigger): """ Asynchronously poll the boto3 API and wait for the JobFlow to finish executing. :param job_flow_id: The id of the job flow to wait for. :param waiter_delay: The amount of time in seconds to wait between attempts. :param waiter_max_attempts: The maximum number of attempts to be made. :param aws_conn_id: The Airflow connection used for AWS credentials. """ def __init__( self, job_flow_id: str, poll_interval: int | None = None, # deprecated max_attempts: int | None = None, # deprecated aws_conn_id: str | None = None, waiter_delay: int = 30, waiter_max_attempts: int = 60, ): if poll_interval is not None or max_attempts is not None: warnings.warn( "please use waiter_delay instead of poll_interval " "and waiter_max_attempts instead of max_attempts", AirflowProviderDeprecationWarning, stacklevel=2, ) waiter_delay = poll_interval or waiter_delay waiter_max_attempts = max_attempts or waiter_max_attempts super().__init__( serialized_fields={"job_flow_id": job_flow_id}, waiter_name="job_flow_waiting", waiter_args={"ClusterId": job_flow_id}, failure_message="JobFlow creation failed", status_message="JobFlow creation in progress", status_queries=[ "Cluster.Status.State", "Cluster.Status.StateChangeReason", "Cluster.Status.ErrorDetails", ], return_key="job_flow_id", return_value=job_flow_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrHook(aws_conn_id=self.aws_conn_id)
[docs]class EmrTerminateJobFlowTrigger(AwsBaseWaiterTrigger): """ Asynchronously poll the boto3 API and wait for the JobFlow to finish terminating. :param job_flow_id: ID of the EMR Job Flow to terminate :param waiter_delay: The amount of time in seconds to wait between attempts. :param waiter_max_attempts: The maximum number of attempts to be made. :param aws_conn_id: The Airflow connection used for AWS credentials. """ def __init__( self, job_flow_id: str, poll_interval: int | None = None, # deprecated max_attempts: int | None = None, # deprecated aws_conn_id: str | None = None, waiter_delay: int = 30, waiter_max_attempts: int = 60, ): if poll_interval is not None or max_attempts is not None: warnings.warn( "please use waiter_delay instead of poll_interval " "and waiter_max_attempts instead of max_attempts", AirflowProviderDeprecationWarning, stacklevel=2, ) waiter_delay = poll_interval or waiter_delay waiter_max_attempts = max_attempts or waiter_max_attempts super().__init__( serialized_fields={"job_flow_id": job_flow_id}, waiter_name="job_flow_terminated", waiter_args={"ClusterId": job_flow_id}, failure_message="JobFlow termination failed", status_message="JobFlow termination in progress", status_queries=[ "Cluster.Status.State", "Cluster.Status.StateChangeReason", "Cluster.Status.ErrorDetails", ], return_value=None, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrHook(aws_conn_id=self.aws_conn_id)
[docs]class EmrContainerTrigger(AwsBaseWaiterTrigger): """ Poll for the status of EMR container until reaches terminal state. :param virtual_cluster_id: Reference Emr cluster id :param job_id: job_id to check the state :param aws_conn_id: Reference to AWS connection id :param waiter_delay: polling period in seconds to check for the status """ def __init__( self, virtual_cluster_id: str, job_id: str, aws_conn_id: str = "aws_default", poll_interval: int | None = None, # deprecated waiter_delay: int = 30, waiter_max_attempts: int = 600, ): if poll_interval is not None: warnings.warn( "please use waiter_delay instead of poll_interval.", AirflowProviderDeprecationWarning, stacklevel=2, ) waiter_delay = poll_interval or waiter_delay super().__init__( serialized_fields={"virtual_cluster_id": virtual_cluster_id, "job_id": job_id}, waiter_name="container_job_complete", waiter_args={"id": job_id, "virtualClusterId": virtual_cluster_id}, failure_message="Job failed", status_message="Job in progress", status_queries=["jobRun.state", "jobRun.failureReason"], return_key="job_id", return_value=job_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrContainerHook(aws_conn_id=self.aws_conn_id)
[docs]class EmrStepSensorTrigger(AwsBaseWaiterTrigger): """ Poll for the status of EMR container until reaches terminal state. :param job_flow_id: job_flow_id which contains the step check the state of :param step_id: step to check the state of :param waiter_delay: polling period in seconds to check for the status :param waiter_max_attempts: The maximum number of attempts to be made :param aws_conn_id: Reference to AWS connection id """ def __init__( self, job_flow_id: str, step_id: str, waiter_delay: int = 30, waiter_max_attempts: int = 60, aws_conn_id: str = "aws_default", ): super().__init__( serialized_fields={"job_flow_id": job_flow_id, "step_id": step_id}, waiter_name="step_wait_for_terminal", waiter_args={"ClusterId": job_flow_id, "StepId": step_id}, failure_message=f"Error while waiting for step {step_id} to complete", status_message=f"Step id: {step_id}, Step is still in non-terminal state", status_queries=[ "Step.Status.State", "Step.Status.FailureDetails", "Step.Status.StateChangeReason", ], return_value=None, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrHook(aws_conn_id=self.aws_conn_id)
[docs]class EmrServerlessCreateApplicationTrigger(AwsBaseWaiterTrigger): """ Poll an Emr Serverless application and wait for it to be created. :param application_id: The ID of the application being polled. :waiter_delay: polling period in seconds to check for the status :param waiter_max_attempts: The maximum number of attempts to be made :param aws_conn_id: Reference to AWS connection id """ def __init__( self, application_id: str, waiter_delay: int = 30, waiter_max_attempts: int = 60, aws_conn_id: str = "aws_default", ) -> None: super().__init__( serialized_fields={"application_id": application_id}, waiter_name="serverless_app_created", waiter_args={"applicationId": application_id}, failure_message="Application creation failed", status_message="Application status is", status_queries=["application.state", "application.stateDetails"], return_key="application_id", return_value=application_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrServerlessHook(self.aws_conn_id)
[docs]class EmrServerlessStartApplicationTrigger(AwsBaseWaiterTrigger): """ Poll an Emr Serverless application and wait for it to be started. :param application_id: The ID of the application being polled. :waiter_delay: polling period in seconds to check for the status :param waiter_max_attempts: The maximum number of attempts to be made :param aws_conn_id: Reference to AWS connection id """ def __init__( self, application_id: str, waiter_delay: int = 30, waiter_max_attempts: int = 60, aws_conn_id: str = "aws_default", ) -> None: super().__init__( serialized_fields={"application_id": application_id}, waiter_name="serverless_app_started", waiter_args={"applicationId": application_id}, failure_message="Application failed to start", status_message="Application status is", status_queries=["application.state", "application.stateDetails"], return_key="application_id", return_value=application_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrServerlessHook(self.aws_conn_id)
[docs]class EmrServerlessStopApplicationTrigger(AwsBaseWaiterTrigger): """ Poll an Emr Serverless application and wait for it to be stopped. :param application_id: The ID of the application being polled. :waiter_delay: polling period in seconds to check for the status :param waiter_max_attempts: The maximum number of attempts to be made :param aws_conn_id: Reference to AWS connection id. """ def __init__( self, application_id: str, waiter_delay: int = 30, waiter_max_attempts: int = 60, aws_conn_id: str = "aws_default", ) -> None: super().__init__( serialized_fields={"application_id": application_id}, waiter_name="serverless_app_stopped", waiter_args={"applicationId": application_id}, failure_message="Application failed to start", status_message="Application status is", status_queries=["application.state", "application.stateDetails"], return_key="application_id", return_value=application_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrServerlessHook(self.aws_conn_id)
[docs]class EmrServerlessStartJobTrigger(AwsBaseWaiterTrigger): """ Poll an Emr Serverless job run and wait for it to be completed. :param application_id: The ID of the application the job in being run on. :param job_id: The ID of the job run. :waiter_delay: polling period in seconds to check for the status :param waiter_max_attempts: The maximum number of attempts to be made :param aws_conn_id: Reference to AWS connection id """ def __init__( self, application_id: str, job_id: str | None, waiter_delay: int = 30, waiter_max_attempts: int = 60, aws_conn_id: str = "aws_default", ) -> None: super().__init__( serialized_fields={"application_id": application_id, "job_id": job_id}, waiter_name="serverless_job_completed", waiter_args={"applicationId": application_id, "jobRunId": job_id}, failure_message="Serverless Job failed", status_message="Serverless Job status is", status_queries=["jobRun.state", "jobRun.stateDetails"], return_key="job_id", return_value=job_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrServerlessHook(self.aws_conn_id)
[docs]class EmrServerlessDeleteApplicationTrigger(AwsBaseWaiterTrigger): """ Poll an Emr Serverless application and wait for it to be deleted. :param application_id: The ID of the application being polled. :waiter_delay: polling period in seconds to check for the status :param waiter_max_attempts: The maximum number of attempts to be made :param aws_conn_id: Reference to AWS connection id """ def __init__( self, application_id: str, waiter_delay: int = 30, waiter_max_attempts: int = 60, aws_conn_id: str = "aws_default", ) -> None: super().__init__( serialized_fields={"application_id": application_id}, waiter_name="serverless_app_terminated", waiter_args={"applicationId": application_id}, failure_message="Application failed to start", status_message="Application status is", status_queries=["application.state", "application.stateDetails"], return_key="application_id", return_value=application_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrServerlessHook(self.aws_conn_id)
[docs]class EmrServerlessCancelJobsTrigger(AwsBaseWaiterTrigger): """ Trigger for canceling a list of jobs in an EMR Serverless application. :param application_id: EMR Serverless application ID :param aws_conn_id: Reference to AWS connection id :param waiter_delay: Delay in seconds between each attempt to check the status :param waiter_max_attempts: Maximum number of attempts to check the status """ def __init__( self, application_id: str, aws_conn_id: str, waiter_delay: int, waiter_max_attempts: int, ) -> None: states = list(EmrServerlessHook.JOB_INTERMEDIATE_STATES.union({"CANCELLING"})) super().__init__( serialized_fields={"application_id": application_id}, waiter_name="no_job_running", waiter_args={"applicationId": application_id, "states": states}, failure_message="Error while waiting for jobs to cancel", status_message="Currently running jobs", status_queries=["jobRuns[*].applicationId", "jobRuns[*].state"], return_key="application_id", return_value=application_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return EmrServerlessHook(self.aws_conn_id)
@property
[docs] def hook_instance(self) -> AwsGenericHook: """This property is added for backward compatibility.""" return self.hook()

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