# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
import abc
from collections.abc import Sequence
from typing import TYPE_CHECKING, Any
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.comprehend import ComprehendHook
from airflow.providers.amazon.aws.sensors.base_aws import AwsBaseSensor
from airflow.providers.amazon.aws.triggers.comprehend import (
ComprehendCreateDocumentClassifierCompletedTrigger,
ComprehendPiiEntitiesDetectionJobCompletedTrigger,
)
from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class ComprehendBaseSensor(AwsBaseSensor[ComprehendHook]):
"""
General sensor behavior for Amazon Comprehend.
Subclasses must implement following methods:
- ``get_state()``
Subclasses must set the following fields:
- ``INTERMEDIATE_STATES``
- ``FAILURE_STATES``
- ``SUCCESS_STATES``
- ``FAILURE_MESSAGE``
:param deferrable: If True, the sensor will operate in deferrable mode. This mode requires aiobotocore
module to be installed.
(default: False, but can be overridden in config file by setting default_deferrable to True)
"""
[docs] aws_hook_class = ComprehendHook
[docs] FAILURE_STATES: tuple[str, ...] = ()
[docs] SUCCESS_STATES: tuple[str, ...] = ()
def __init__(
self,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**kwargs: Any,
):
super().__init__(**kwargs)
self.deferrable = deferrable
[docs] def poke(self, context: Context, **kwargs) -> bool:
state = self.get_state()
if state in self.FAILURE_STATES:
raise AirflowException(self.FAILURE_MESSAGE)
return state not in self.INTERMEDIATE_STATES
@abc.abstractmethod
[docs] def get_state(self) -> str:
"""Implement in subclasses."""
[docs]class ComprehendStartPiiEntitiesDetectionJobCompletedSensor(ComprehendBaseSensor):
"""
Poll the state of the pii entities detection job until it reaches a completed state; fails if the job fails.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:ComprehendStartPiiEntitiesDetectionJobCompletedSensor`
:param job_id: The id of the Comprehend pii entities detection job.
:param deferrable: If True, the sensor will operate in deferrable mode. This mode requires aiobotocore
module to be installed.
(default: False, but can be overridden in config file by setting default_deferrable to True)
:param poke_interval: Polling period in seconds to check for the status of the job. (default: 120)
:param max_retries: Number of times before returning the current state. (default: 75)
: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 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] FAILURE_STATES: tuple[str, ...] = ("FAILED", "STOP_REQUESTED", "STOPPED")
[docs] SUCCESS_STATES: tuple[str, ...] = ("COMPLETED",)
[docs] FAILURE_MESSAGE = "Comprehend start pii entities detection job sensor failed."
[docs] template_fields: Sequence[str] = aws_template_fields("job_id")
def __init__(
self,
*,
job_id: str,
max_retries: int = 75,
poke_interval: int = 120,
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.job_id = job_id
self.max_retries = max_retries
self.poke_interval = poke_interval
[docs] def execute(self, context: Context) -> Any:
if self.deferrable:
self.defer(
trigger=ComprehendPiiEntitiesDetectionJobCompletedTrigger(
job_id=self.job_id,
waiter_delay=int(self.poke_interval),
waiter_max_attempts=self.max_retries,
aws_conn_id=self.aws_conn_id,
),
method_name="poke",
)
else:
super().execute(context=context)
[docs] def get_state(self) -> str:
return self.hook.conn.describe_pii_entities_detection_job(JobId=self.job_id)[
"PiiEntitiesDetectionJobProperties"
]["JobStatus"]
[docs]class ComprehendCreateDocumentClassifierCompletedSensor(AwsBaseSensor[ComprehendHook]):
"""
Poll the state of the document classifier until it reaches a completed state; fails if the job fails.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:ComprehendCreateDocumentClassifierCompletedSensor`
:param document_classifier_arn: The arn of the Comprehend document classifier.
:param fail_on_warnings: If set to True, the document classifier training job will throw an error when the
status is TRAINED_WITH_WARNING. (default False)
:param deferrable: If True, the sensor will operate in deferrable mode. This mode requires aiobotocore
module to be installed.
(default: False, but can be overridden in config file by setting default_deferrable to True)
:param poke_interval: Polling period in seconds to check for the status of the job. (default: 120)
:param max_retries: Number of times before returning the current state. (default: 75)
: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 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 = ComprehendHook
[docs] FAILURE_STATES: tuple[str, ...] = (
"DELETING",
"STOP_REQUESTED",
"STOPPED",
"IN_ERROR",
)
[docs] SUCCESS_STATES: tuple[str, ...] = ("TRAINED", "TRAINED_WITH_WARNING")
[docs] FAILURE_MESSAGE = "Comprehend document classifier failed."
[docs] template_fields: Sequence[str] = aws_template_fields("document_classifier_arn")
def __init__(
self,
*,
document_classifier_arn: str,
fail_on_warnings: bool = False,
max_retries: int = 75,
poke_interval: int = 120,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
aws_conn_id: str | None = "aws_default",
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.document_classifier_arn = document_classifier_arn
self.fail_on_warnings = fail_on_warnings
self.max_retries = max_retries
self.poke_interval = poke_interval
self.deferrable = deferrable
self.aws_conn_id = aws_conn_id
[docs] def execute(self, context: Context) -> Any:
if self.deferrable:
self.defer(
trigger=ComprehendCreateDocumentClassifierCompletedTrigger(
document_classifier_arn=self.document_classifier_arn,
waiter_delay=int(self.poke_interval),
waiter_max_attempts=self.max_retries,
aws_conn_id=self.aws_conn_id,
),
method_name="poke",
)
else:
super().execute(context=context)
[docs] def poke(self, context: Context, **kwargs) -> bool:
status = self.hook.conn.describe_document_classifier(
DocumentClassifierArn=self.document_classifier_arn
)["DocumentClassifierProperties"]["Status"]
self.log.info(
"Poking for AWS Comprehend document classifier arn: %s status: %s",
self.document_classifier_arn,
status,
)
if status in self.FAILURE_STATES:
raise AirflowException(self.FAILURE_MESSAGE)
if status in self.SUCCESS_STATES:
self.hook.validate_document_classifier_training_status(
document_classifier_arn=self.document_classifier_arn, fail_on_warnings=self.fail_on_warnings
)
self.log.info("Comprehend document classifier `%s` complete.", self.document_classifier_arn)
return True
return False