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

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from __future__ import annotations

import asyncio
from collections.abc import AsyncIterator
from functools import cached_property
from typing import Any

from airflow.providers.amazon.aws.hooks.redshift_data import (
    ABORTED_STATE,
    FAILED_STATE,
    RedshiftDataHook,
    RedshiftDataQueryAbortedError,
    RedshiftDataQueryFailedError,
)
from airflow.triggers.base import BaseTrigger, TriggerEvent


[docs]class RedshiftDataTrigger(BaseTrigger):
    """
    RedshiftDataTrigger is fired as deferred class with params to run the task in triggerer.

    :param statement_id: the UUID of the statement
    :param task_id: task ID of the Dag
    :param poll_interval:  polling period in seconds to check for the status
    :param aws_conn_id: AWS connection ID for redshift
    :param region_name: aws region to use
    """

    def __init__(
        self,
        statement_id: str,
        task_id: str,
        poll_interval: int,
        aws_conn_id: str | None = "aws_default",
        region_name: str | None = None,
        verify: bool | str | None = None,
        botocore_config: dict | None = None,
    ):
        super().__init__()
        self.statement_id = statement_id
        self.task_id = task_id
        self.poll_interval = poll_interval

        self.aws_conn_id = aws_conn_id
        self.region_name = region_name
        self.verify = verify
        self.botocore_config = botocore_config

[docs]    def serialize(self) -> tuple[str, dict[str, Any]]:
        """Serialize RedshiftDataTrigger arguments and classpath."""
        return (
            "airflow.providers.amazon.aws.triggers.redshift_data.RedshiftDataTrigger",
            {
                "statement_id": self.statement_id,
                "task_id": self.task_id,
                "aws_conn_id": self.aws_conn_id,
                "poll_interval": self.poll_interval,
                "region_name": self.region_name,
                "verify": self.verify,
                "botocore_config": self.botocore_config,
            },
        )

    @cached_property
[docs]    def hook(self) -> RedshiftDataHook:
        return RedshiftDataHook(
            aws_conn_id=self.aws_conn_id,
            region_name=self.region_name,
            verify=self.verify,
            config=self.botocore_config,
        )

[docs]    async def run(self) -> AsyncIterator[TriggerEvent]:
        try:
            while await self.hook.is_still_running(self.statement_id):
                await asyncio.sleep(self.poll_interval)

            is_finished = await self.hook.check_query_is_finished_async(self.statement_id)
            if is_finished:
                response = {"status": "success", "statement_id": self.statement_id}
            else:
                response = {
                    "status": "error",
                    "statement_id": self.statement_id,
                    "message": f"{self.task_id} failed",
                }
            yield TriggerEvent(response)
        except (RedshiftDataQueryFailedError, RedshiftDataQueryAbortedError) as error:
            response = {
                "status": "error",
                "statement_id": self.statement_id,
                "message": str(error),
                "type": FAILED_STATE if isinstance(error, RedshiftDataQueryFailedError) else ABORTED_STATE,
            }
            yield TriggerEvent(response)
        except Exception as error:
            yield TriggerEvent({"status": "error", "statement_id": self.statement_id, "message": str(error)})