Introduce Amazon Comprehend Service (#39592)

airflow/providers/amazon/aws/hooks/comprehend.py

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+# 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
+
+from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
+
+
+class ComprehendHook(AwsBaseHook):
+    """
+    Interact with AWS Comprehend.
+
+    Provide thin wrapper around :external+boto3:py:class:`boto3.client("comprehend") <Comprehend.Client>`.
+
+    Additional arguments (such as ``aws_conn_id``) may be specified and
+    are passed down to the underlying AwsBaseHook.
+
+    .. seealso::
+        - :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
+    """
+
+    def __init__(self, *args, **kwargs) -> None:
+        kwargs["client_type"] = "comprehend"
+        super().__init__(*args, **kwargs)

airflow/providers/amazon/aws/operators/comprehend.py

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+# 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
+
+from functools import cached_property
+from typing import TYPE_CHECKING, Any, Sequence
+
+from airflow.configuration import conf
+from airflow.exceptions import AirflowException
+from airflow.providers.amazon.aws.hooks.comprehend import ComprehendHook
+from airflow.providers.amazon.aws.operators.base_aws import AwsBaseOperator
+from airflow.providers.amazon.aws.triggers.comprehend import ComprehendPiiEntitiesDetectionJobCompletedTrigger
+from airflow.providers.amazon.aws.utils import validate_execute_complete_event
+from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
+from airflow.utils.timezone import utcnow
+
+if TYPE_CHECKING:
+    import boto3
+
+    from airflow.utils.context import Context
+
+
+class ComprehendBaseOperator(AwsBaseOperator[ComprehendHook]):
+    """
+    This is the base operator for Comprehend Service operators (not supposed to be used directly in DAGs).
+
+    :param input_data_config: The input properties for a PII entities detection job. (templated)
+    :param output_data_config: Provides `configuration` parameters for the output of PII entity detection
+        jobs. (templated)
+    :param data_access_role_arn: The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend
+        read access to your input data. (templated)
+    :param language_code: The language of the input documents. (templated)
+    """
+
+    aws_hook_class = ComprehendHook
+
+    template_fields: Sequence[str] = aws_template_fields(
+        "input_data_config", "output_data_config", "data_access_role_arn", "language_code"
+    )
+
+    template_fields_renderers: dict = {"input_data_config": "json", "output_data_config": "json"}
+
+    def __init__(
+        self,
+        input_data_config: dict,
+        output_data_config: dict,
+        data_access_role_arn: str,
+        language_code: str,
+        **kwargs,
+    ):
+        super().__init__(**kwargs)
+        self.input_data_config = input_data_config
+        self.output_data_config = output_data_config
+        self.data_access_role_arn = data_access_role_arn
+        self.language_code = language_code
+
+    @cached_property
+    def client(self) -> boto3.client:
+        """Create and return the Comprehend client."""
+        return self.hook.conn
+
+    def execute(self, context: Context):
+        """Must overwrite in child classes."""
+        raise NotImplementedError("Please implement execute() in subclass")
+
+
+class ComprehendStartPiiEntitiesDetectionJobOperator(ComprehendBaseOperator):
+    """
+    Create a comprehend pii entities detection job for a collection of documents.
+
+    .. seealso::
+        For more information on how to use this operator, take a look at the guide:
+        :ref:`howto/operator:ComprehendStartPiiEntitiesDetectionJobOperator`
+
+    :param input_data_config: The input properties for a PII entities detection job. (templated)
+    :param output_data_config: Provides `configuration` parameters for the output of PII entity detection
+        jobs. (templated)
+    :param mode: Specifies whether the output provides the locations (offsets) of PII  entities or a file in
+        which PII entities are redacted. If you set the mode parameter to ONLY_REDACTION. In that case you
+        must provide a RedactionConfig in start_pii_entities_kwargs.
+    :param data_access_role_arn: The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend
+        read access to your input data. (templated)
+    :param language_code: The language of the input documents. (templated)
+    :param start_pii_entities_kwargs: Any optional parameters to pass to the job. If JobName is not provided
+        in start_pii_entities_kwargs, operator will create.
+
+    :param wait_for_completion: Whether to wait for job to stop. (default: True)
+    :param waiter_delay: Time in seconds to wait between status checks. (default: 60)
+    :param waiter_max_attempts: Maximum number of attempts to check for job completion. (default: 20)
+    :param deferrable: If True, the operator will wait asynchronously for the job to stop.
+        This implies waiting for completion. This mode requires aiobotocore module to be installed.
+        (default: False)
+    :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
+    """
+
+    def __init__(
+        self,
+        input_data_config: dict,
+        output_data_config: dict,
+        mode: str,
+        data_access_role_arn: str,
+        language_code: str,
+        start_pii_entities_kwargs: dict[str, Any] | None = None,
+        wait_for_completion: bool = True,
+        waiter_delay: int = 60,
+        waiter_max_attempts: int = 20,
+        deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
+        **kwargs,
+    ):
+        super().__init__(
+            input_data_config=input_data_config,
+            output_data_config=output_data_config,
+            data_access_role_arn=data_access_role_arn,
+            language_code=language_code,
+            **kwargs,
+        )
+        self.mode = mode
+        self.start_pii_entities_kwargs = start_pii_entities_kwargs or {}
+        self.wait_for_completion = wait_for_completion
+        self.waiter_delay = waiter_delay
+        self.waiter_max_attempts = waiter_max_attempts
+        self.deferrable = deferrable
+
+    def execute(self, context: Context) -> str:
+        if self.start_pii_entities_kwargs.get("JobName", None) is None:
+            self.start_pii_entities_kwargs["JobName"] = (
+                f"start_pii_entities_detection_job-{int(utcnow().timestamp())}"
+            )
+
+        self.log.info(
+            "Submitting start pii entities detection job '%s'.", self.start_pii_entities_kwargs["JobName"]
+        )
+        job_id = self.client.start_pii_entities_detection_job(
+            InputDataConfig=self.input_data_config,
+            OutputDataConfig=self.output_data_config,
+            Mode=self.mode,
+            DataAccessRoleArn=self.data_access_role_arn,
+            LanguageCode=self.language_code,
+            **self.start_pii_entities_kwargs,
+        )["JobId"]
+
+        message_description = f"start pii entities detection job {job_id} to complete."
+        if self.deferrable:
+            self.log.info("Deferring %s", message_description)
+            self.defer(
+                trigger=ComprehendPiiEntitiesDetectionJobCompletedTrigger(
+                    job_id=job_id,
+                    waiter_delay=self.waiter_delay,
+                    waiter_max_attempts=self.waiter_max_attempts,
+                    aws_conn_id=self.aws_conn_id,
+                ),
+                method_name="execute_complete",
+            )
+        elif self.wait_for_completion:
+            self.log.info("Waiting for %s", message_description)
+            self.hook.get_waiter("pii_entities_detection_job_complete").wait(
+                JobId=job_id,
+                WaiterConfig={"Delay": self.waiter_delay, "MaxAttempts": self.waiter_max_attempts},
+            )
+
+        return job_id
+
+    def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> str:
+        event = validate_execute_complete_event(event)
+        if event["status"] != "success":
+            raise AirflowException("Error while running job: %s", event)
+
+        self.log.info("Comprehend pii entities detection job `%s` complete.", event["job_id"])
+        return event["job_id"]

airflow/providers/amazon/aws/sensors/comprehend.py

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+# 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 typing import TYPE_CHECKING, Any, Sequence
+
+from airflow.configuration import conf
+from airflow.exceptions import AirflowException, AirflowSkipException
+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 ComprehendPiiEntitiesDetectionJobCompletedTrigger
+from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
+
+if TYPE_CHECKING:
+    from airflow.utils.context import Context
+
+
+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)
+    """
+
+    aws_hook_class = ComprehendHook
+
+    INTERMEDIATE_STATES: tuple[str, ...] = ()
+    FAILURE_STATES: tuple[str, ...] = ()
+    SUCCESS_STATES: tuple[str, ...] = ()
+    FAILURE_MESSAGE = ""
+
+    ui_color = "#66c3ff"
+
+    def __init__(
+        self,
+        deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
+        **kwargs: Any,
+    ):
+        super().__init__(**kwargs)
+        self.deferrable = deferrable
+
+    def poke(self, context: Context, **kwargs) -> bool:
+        state = self.get_state()
+        if state in self.FAILURE_STATES:
+            # TODO: remove this if block when min_airflow_version is set to higher than 2.7.1
+            if self.soft_fail:
+                raise AirflowSkipException(self.FAILURE_MESSAGE)
+            raise AirflowException(self.FAILURE_MESSAGE)
+
+        return state not in self.INTERMEDIATE_STATES
+
+    @abc.abstractmethod
+    def get_state(self) -> str:
+        """Implement in subclasses."""
+
+
+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
+    """
+
+    INTERMEDIATE_STATES: tuple[str, ...] = ("IN_PROGRESS",)
+    FAILURE_STATES: tuple[str, ...] = ("FAILED", "STOP_REQUESTED", "STOPPED")
+    SUCCESS_STATES: tuple[str, ...] = ("COMPLETED",)
+    FAILURE_MESSAGE = "Comprehend start pii entities detection job sensor failed."
+
+    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
+
+    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)
+
+    def get_state(self) -> str:
+        return self.hook.conn.describe_pii_entities_detection_job(JobId=self.job_id)[
+            "PiiEntitiesDetectionJobProperties"
+        ]["JobStatus"]