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# to you under the Apache License, Version 2.0 (the
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# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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from __future__ import annotations
import asyncio
import warnings
from typing import Any
from botocore.exceptions import WaiterError
from airflow.exceptions import AirflowProviderDeprecationWarning
from airflow.providers.amazon.aws.hooks.base_aws import AwsGenericHook
from airflow.providers.amazon.aws.hooks.emr import EmrContainerHook, EmrHook, EmrServerlessHook
from airflow.providers.amazon.aws.triggers.base import AwsBaseWaiterTrigger
from airflow.triggers.base import BaseTrigger, TriggerEvent
[docs]class EmrAddStepsTrigger(BaseTrigger):
"""
Asynchronously poll the boto3 API and wait for the steps to finish executing.
:param job_flow_id: The id of the job flow.
:param step_ids: The id of the steps being waited upon.
:param poll_interval: The amount of time in seconds to wait between attempts.
:param 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,
step_ids: list[str],
aws_conn_id: str,
max_attempts: int | None,
poll_interval: int | None,
):
self.job_flow_id = job_flow_id
self.step_ids = step_ids
self.aws_conn_id = aws_conn_id
self.max_attempts = max_attempts
self.poll_interval = poll_interval
[docs] def serialize(self) -> tuple[str, dict[str, Any]]:
return (
"airflow.providers.amazon.aws.triggers.emr.EmrAddStepsTrigger",
{
"job_flow_id": str(self.job_flow_id),
"step_ids": self.step_ids,
"poll_interval": str(self.poll_interval),
"max_attempts": str(self.max_attempts),
"aws_conn_id": str(self.aws_conn_id),
},
)
[docs] async def run(self):
self.hook = EmrHook(aws_conn_id=self.aws_conn_id)
async with self.hook.async_conn as client:
for step_id in self.step_ids:
waiter = client.get_waiter("step_complete")
for attempt in range(1, 1 + self.max_attempts):
try:
await waiter.wait(
ClusterId=self.job_flow_id,
StepId=step_id,
WaiterConfig={
"Delay": int(self.poll_interval),
"MaxAttempts": 1,
},
)
break
except WaiterError as error:
if "terminal failure" in str(error):
yield TriggerEvent(
{"status": "failure", "message": f"Step {step_id} failed: {error}"}
)
break
self.log.info(
"Status of step is %s - %s",
error.last_response["Step"]["Status"]["State"],
error.last_response["Step"]["Status"]["StateChangeReason"],
)
await asyncio.sleep(int(self.poll_interval))
if attempt >= int(self.max_attempts):
yield TriggerEvent({"status": "failure", "message": "Steps failed: max attempts reached"})
else:
yield TriggerEvent({"status": "success", "message": "Steps completed", "step_ids": self.step_ids})
[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(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(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:
self.hook_instance = EmrServerlessHook(aws_conn_id)
states = list(self.hook_instance.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 self.hook_instance
