Source code for airflow.providers.amazon.aws.sensors.quicksight
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from __future__ import annotations
import warnings
from functools import cached_property
from typing import TYPE_CHECKING, Sequence
from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning, AirflowSkipException
from airflow.providers.amazon.aws.hooks.quicksight import QuickSightHook
from airflow.providers.amazon.aws.sensors.base_aws import AwsBaseSensor
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class QuickSightSensor(AwsBaseSensor[QuickSightHook]):
"""
Watches for the status of an Amazon QuickSight Ingestion.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:QuickSightSensor`
:param data_set_id: ID of the dataset used in the ingestion.
:param ingestion_id: ID for the ingestion.
: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 = QuickSightHook
[docs] template_fields: Sequence[str] = ("data_set_id", "ingestion_id", "aws_conn_id")
def __init__(self, *, data_set_id: str, ingestion_id: str, **kwargs):
super().__init__(**kwargs)
self.data_set_id = data_set_id
self.ingestion_id = ingestion_id
self.success_status = "COMPLETED"
self.errored_statuses = ("FAILED", "CANCELLED")
[docs] def poke(self, context: Context) -> bool:
"""
Pokes until the QuickSight Ingestion has successfully finished.
:param context: The task context during execution.
:return: True if it COMPLETED and False if not.
"""
self.log.info("Poking for Amazon QuickSight Ingestion ID: %s", self.ingestion_id)
quicksight_ingestion_state = self.hook.get_status(None, self.data_set_id, self.ingestion_id)
self.log.info("QuickSight Status: %s", quicksight_ingestion_state)
if quicksight_ingestion_state in self.errored_statuses:
error = self.hook.get_error_info(None, self.data_set_id, self.ingestion_id)
message = f"The QuickSight Ingestion failed. Error info: {error}"
if self.soft_fail:
raise AirflowSkipException(message)
raise AirflowException(message)
return quicksight_ingestion_state == self.success_status
@cached_property
[docs] def quicksight_hook(self):
warnings.warn(
f"`{type(self).__name__}.quicksight_hook` property is deprecated, "
f"please use `{type(self).__name__}.hook` property instead.",
AirflowProviderDeprecationWarning,
stacklevel=2,
)
return self.hook
@cached_property
[docs] def sts_hook(self):
warnings.warn(
f"`{type(self).__name__}.sts_hook` property is deprecated and will be removed in the future. "
"This property used for obtain AWS Account ID, "
f"please consider to use `{type(self).__name__}.hook.account_id` instead",
AirflowProviderDeprecationWarning,
stacklevel=2,
)
from airflow.providers.amazon.aws.hooks.sts import StsHook
return StsHook(aws_conn_id=self.aws_conn_id)