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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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from __future__ import annotations
import warnings
from typing import Any
from airflow.exceptions import AirflowProviderDeprecationWarning
from airflow.providers.amazon.aws.hooks.base_aws import AwsGenericHook
from airflow.providers.amazon.aws.hooks.rds import RdsHook
from airflow.providers.amazon.aws.triggers.base import AwsBaseWaiterTrigger
from airflow.providers.amazon.aws.utils.rds import RdsDbType
from airflow.providers.amazon.aws.utils.waiter_with_logging import async_wait
from airflow.triggers.base import BaseTrigger, TriggerEvent
[docs]class RdsDbInstanceTrigger(BaseTrigger):
"""
Deprecated Trigger for RDS operations. Do not use.
:param waiter_name: Name of the waiter to use, for instance 'db_instance_available'
or 'db_instance_deleted'.
:param db_instance_identifier: The DB instance identifier for the DB instance to be polled.
: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.
:param region_name: AWS region where the DB is located, if different from the default one.
:param response: The response from the RdsHook, to be passed back to the operator.
"""
def __init__(
self,
waiter_name: str,
db_instance_identifier: str,
waiter_delay: int,
waiter_max_attempts: int,
aws_conn_id: str,
region_name: str | None,
response: dict[str, Any],
):
warnings.warn(
"This trigger is deprecated, please use the other RDS triggers "
"such as RdsDbDeletedTrigger, RdsDbStoppedTrigger or RdsDbAvailableTrigger",
AirflowProviderDeprecationWarning,
stacklevel=2,
)
self.db_instance_identifier = db_instance_identifier
self.waiter_delay = waiter_delay
self.waiter_max_attempts = waiter_max_attempts
self.aws_conn_id = aws_conn_id
self.region_name = region_name
self.waiter_name = waiter_name
self.response = response
[docs] def serialize(self) -> tuple[str, dict[str, Any]]:
return (
# dynamically generate the fully qualified name of the class
self.__class__.__module__ + "." + self.__class__.__qualname__,
{
"db_instance_identifier": self.db_instance_identifier,
"waiter_delay": str(self.waiter_delay),
"waiter_max_attempts": str(self.waiter_max_attempts),
"aws_conn_id": self.aws_conn_id,
"region_name": self.region_name,
"waiter_name": self.waiter_name,
"response": self.response,
},
)
[docs] async def run(self):
self.hook = RdsHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
async with self.hook.async_conn as client:
waiter = client.get_waiter(self.waiter_name)
await async_wait(
waiter=waiter,
waiter_delay=int(self.waiter_delay),
waiter_max_attempts=int(self.waiter_max_attempts),
args={"DBInstanceIdentifier": self.db_instance_identifier},
failure_message="Error checking DB Instance status",
status_message="DB instance status is",
status_args=["DBInstances[0].DBInstanceStatus"],
)
yield TriggerEvent({"status": "success", "response": self.response})
_waiter_arg = {
RdsDbType.INSTANCE: "DBInstanceIdentifier",
RdsDbType.CLUSTER: "DBClusterIdentifier",
}
_status_paths = {
RdsDbType.INSTANCE: ["DBInstances[].DBInstanceStatus", "DBInstances[].StatusInfos"],
RdsDbType.CLUSTER: ["DBClusters[].Status"],
}
[docs]class RdsDbAvailableTrigger(AwsBaseWaiterTrigger):
"""
Trigger to wait asynchronously for a DB instance or cluster to be available.
:param db_identifier: The DB identifier for the DB instance or cluster to be polled.
: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.
:param region_name: AWS region where the DB is located, if different from the default one.
:param response: The response from the RdsHook, to be passed back to the operator.
:param db_type: The type of DB: instance or cluster.
"""
def __init__(
self,
db_identifier: str,
waiter_delay: int,
waiter_max_attempts: int,
aws_conn_id: str,
response: dict[str, Any],
db_type: RdsDbType,
region_name: str | None = None,
) -> None:
super().__init__(
serialized_fields={
"db_identifier": db_identifier,
"response": response,
"db_type": db_type,
},
waiter_name=f"db_{db_type.value}_available",
waiter_args={_waiter_arg[db_type]: db_identifier},
failure_message="Error while waiting for DB to be available",
status_message="DB initialization in progress",
status_queries=_status_paths[db_type],
return_key="response",
return_value=response,
waiter_delay=waiter_delay,
waiter_max_attempts=waiter_max_attempts,
aws_conn_id=aws_conn_id,
region_name=region_name,
)
[docs] def hook(self) -> AwsGenericHook:
return RdsHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
[docs]class RdsDbDeletedTrigger(AwsBaseWaiterTrigger):
"""
Trigger to wait asynchronously for a DB instance or cluster to be deleted.
:param db_identifier: The DB identifier for the DB instance or cluster to be polled.
: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.
:param region_name: AWS region where the DB is located, if different from the default one.
:param response: The response from the RdsHook, to be passed back to the operator.
:param db_type: The type of DB: instance or cluster.
"""
def __init__(
self,
db_identifier: str,
waiter_delay: int,
waiter_max_attempts: int,
aws_conn_id: str,
response: dict[str, Any],
db_type: RdsDbType,
region_name: str | None = None,
) -> None:
super().__init__(
serialized_fields={
"db_identifier": db_identifier,
"response": response,
"db_type": db_type,
},
waiter_name=f"db_{db_type.value}_deleted",
waiter_args={_waiter_arg[db_type]: db_identifier},
failure_message="Error while deleting DB",
status_message="DB deletion in progress",
status_queries=_status_paths[db_type],
return_key="response",
return_value=response,
waiter_delay=waiter_delay,
waiter_max_attempts=waiter_max_attempts,
aws_conn_id=aws_conn_id,
region_name=region_name,
)
[docs] def hook(self) -> AwsGenericHook:
return RdsHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
[docs]class RdsDbStoppedTrigger(AwsBaseWaiterTrigger):
"""
Trigger to wait asynchronously for a DB instance or cluster to be stopped.
:param db_identifier: The DB identifier for the DB instance or cluster to be polled.
: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.
:param region_name: AWS region where the DB is located, if different from the default one.
:param response: The response from the RdsHook, to be passed back to the operator.
:param db_type: The type of DB: instance or cluster.
"""
def __init__(
self,
db_identifier: str,
waiter_delay: int,
waiter_max_attempts: int,
aws_conn_id: str,
response: dict[str, Any],
db_type: RdsDbType,
region_name: str | None = None,
) -> None:
super().__init__(
serialized_fields={
"db_identifier": db_identifier,
"response": response,
"db_type": db_type,
},
waiter_name=f"db_{db_type.value}_stopped",
waiter_args={_waiter_arg[db_type]: db_identifier},
failure_message="Error while stopping DB",
status_message="DB is being stopped",
status_queries=_status_paths[db_type],
return_key="response",
return_value=response,
waiter_delay=waiter_delay,
waiter_max_attempts=waiter_max_attempts,
aws_conn_id=aws_conn_id,
region_name=region_name,
)
[docs] def hook(self) -> AwsGenericHook:
return RdsHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
