Source code for airflow.providers.amazon.aws.sensors.glue_crawler

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from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.glue_crawler import GlueCrawlerHook
from airflow.providers.amazon.aws.sensors.base_aws import AwsBaseSensor
from airflow.providers.amazon.aws.utils.mixins import aws_template_fields

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class GlueCrawlerSensor(AwsBaseSensor[GlueCrawlerHook]): """ Waits for an AWS Glue crawler to reach any of the statuses below. 'FAILED', 'CANCELLED', 'SUCCEEDED' .. seealso:: For more information on how to use this sensor, take a look at the guide: :ref:`howto/sensor:GlueCrawlerSensor` :param crawler_name: The AWS Glue crawler unique name :param aws_conn_id: The Airflow connection used for AWS credentials. If this is ``None`` or empty then the default boto3 behaviour is used. If running Airflow in a distributed manner and aws_conn_id is None or empty, then default boto3 configuration would be used (and must be maintained on each worker node). :param region_name: AWS region_name. If not specified then the default boto3 behaviour is used. :param verify: Whether or not to verify SSL certificates. See: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html :param botocore_config: Configuration dictionary (key-values) for botocore client. See: https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html """
[docs] aws_hook_class = GlueCrawlerHook
[docs] template_fields: Sequence[str] = aws_template_fields( "crawler_name", )
def __init__(self, *, crawler_name: str, **kwargs) -> None: super().__init__(**kwargs) self.crawler_name = crawler_name self.success_statuses = "SUCCEEDED" self.errored_statuses = ("FAILED", "CANCELLED")
[docs] def poke(self, context: Context): self.log.info("Poking for AWS Glue crawler: %s", self.crawler_name) crawler_state = self.hook.get_crawler(self.crawler_name)["State"] if crawler_state == "READY": self.log.info("State: %s", crawler_state) crawler_status = self.hook.get_crawler(self.crawler_name)["LastCrawl"]["Status"] if crawler_status == self.success_statuses: self.log.info("Status: %s", crawler_status) return True else: raise AirflowException(f"Status: {crawler_status}") else: return False

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