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

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from __future__ import annotations

from typing import TYPE_CHECKING

from airflow.providers.amazon.aws.hooks.bedrock import BedrockAgentHook, BedrockHook
from airflow.providers.amazon.aws.triggers.base import AwsBaseWaiterTrigger

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


[docs]class BedrockCustomizeModelCompletedTrigger(AwsBaseWaiterTrigger): """ Trigger when a Bedrock model customization job is complete. :param job_name: The name of the Bedrock model customization job. :param waiter_delay: The amount of time in seconds to wait between attempts. (default: 120) :param waiter_max_attempts: The maximum number of attempts to be made. (default: 75) :param aws_conn_id: The Airflow connection used for AWS credentials. """ def __init__( self, *, job_name: str, waiter_delay: int = 120, waiter_max_attempts: int = 75, aws_conn_id: str | None = None, ) -> None: super().__init__( serialized_fields={"job_name": job_name}, waiter_name="model_customization_job_complete", waiter_args={"jobIdentifier": job_name}, failure_message="Bedrock model customization failed.", status_message="Status of Bedrock model customization job is", status_queries=["status"], return_key="job_name", return_value=job_name, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return BedrockHook(aws_conn_id=self.aws_conn_id)
[docs]class BedrockKnowledgeBaseActiveTrigger(AwsBaseWaiterTrigger): """ Trigger when a Bedrock Knowledge Base reaches the ACTIVE state. :param knowledge_base_id: The unique identifier of the knowledge base for which to get information. :param waiter_delay: The amount of time in seconds to wait between attempts. (default: 5) :param waiter_max_attempts: The maximum number of attempts to be made. (default: 24) :param aws_conn_id: The Airflow connection used for AWS credentials. """ def __init__( self, *, knowledge_base_id: str, waiter_delay: int = 5, waiter_max_attempts: int = 24, aws_conn_id: str | None = None, ) -> None: super().__init__( serialized_fields={"knowledge_base_id": knowledge_base_id}, waiter_name="knowledge_base_active", waiter_args={"knowledgeBaseId": knowledge_base_id}, failure_message="Bedrock Knowledge Base creation failed.", status_message="Status of Bedrock Knowledge Base job is", status_queries=["status"], return_key="knowledge_base_id", return_value=knowledge_base_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return BedrockAgentHook(aws_conn_id=self.aws_conn_id)
[docs]class BedrockProvisionModelThroughputCompletedTrigger(AwsBaseWaiterTrigger): """ Trigger when a provisioned throughput job is complete. :param provisioned_model_id: The ARN or name of the provisioned throughput. :param waiter_delay: The amount of time in seconds to wait between attempts. (default: 120) :param waiter_max_attempts: The maximum number of attempts to be made. (default: 75) :param aws_conn_id: The Airflow connection used for AWS credentials. """ def __init__( self, *, provisioned_model_id: str, waiter_delay: int = 120, waiter_max_attempts: int = 75, aws_conn_id: str | None = None, ) -> None: super().__init__( serialized_fields={"provisioned_model_id": provisioned_model_id}, waiter_name="provisioned_model_throughput_complete", waiter_args={"provisionedModelId": provisioned_model_id}, failure_message="Bedrock provisioned throughput job failed.", status_message="Status of Bedrock provisioned throughput job is", status_queries=["status"], return_key="provisioned_model_id", return_value=provisioned_model_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return BedrockHook(aws_conn_id=self.aws_conn_id)
[docs]class BedrockIngestionJobTrigger(AwsBaseWaiterTrigger): """ Trigger when a Bedrock ingestion job reaches the COMPLETE state. :param knowledge_base_id: The unique identifier of the knowledge base for which to get information. :param data_source_id: The unique identifier of the data source in the ingestion job. :param ingestion_job_id: The unique identifier of the ingestion job. :param waiter_delay: The amount of time in seconds to wait between attempts. (default: 60) :param waiter_max_attempts: The maximum number of attempts to be made. (default: 10) :param aws_conn_id: The Airflow connection used for AWS credentials. """ def __init__( self, *, knowledge_base_id: str, data_source_id: str, ingestion_job_id: str, waiter_delay: int = 60, waiter_max_attempts: int = 10, aws_conn_id: str | None = None, ) -> None: super().__init__( serialized_fields={ "knowledge_base_id": knowledge_base_id, "data_source_id": data_source_id, "ingestion_job_id": ingestion_job_id, }, waiter_name="ingestion_job_complete", waiter_args={ "knowledgeBaseId": knowledge_base_id, "dataSourceId": data_source_id, "ingestionJobId": ingestion_job_id, }, failure_message="Bedrock ingestion job creation failed.", status_message="Status of Bedrock ingestion job is", status_queries=["status"], return_key="ingestion_job_id", return_value=ingestion_job_id, waiter_delay=waiter_delay, waiter_max_attempts=waiter_max_attempts, aws_conn_id=aws_conn_id, )
[docs] def hook(self) -> AwsGenericHook: return BedrockAgentHook(aws_conn_id=self.aws_conn_id)

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