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

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"""Reads and then deletes the message from SQS queue."""

from __future__ import annotations

from collections.abc import Collection, Sequence
from datetime import timedelta
from typing import TYPE_CHECKING, Any

from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.sqs import SqsHook
from airflow.providers.amazon.aws.sensors.base_aws import AwsBaseSensor
from airflow.providers.amazon.aws.triggers.sqs import SqsSensorTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
from airflow.providers.amazon.aws.utils.sqs import process_response

if TYPE_CHECKING:
    from airflow.providers.amazon.aws.hooks.base_aws import BaseAwsConnection
    from airflow.providers.amazon.aws.utils.sqs import MessageFilteringType
    from airflow.utils.context import Context




class SqsSensor(AwsBaseSensor[SqsHook]):
    """
    Get messages from an Amazon SQS queue and then delete the messages from the queue.

    If deletion of messages fails, an AirflowException is thrown. Otherwise, the messages
    are pushed through XCom with the key ``messages``.

    By default,the sensor performs one and only one SQS call per poke, which limits the result to
    a maximum of 10 messages. However, the total number of SQS API calls per poke can be controlled
    by num_batches param.

    .. seealso::
        For more information on how to use this sensor, take a look at the guide:
        :ref:`howto/sensor:SqsSensor`

    :param sqs_queue: The SQS queue url (templated)
    :param max_messages: The maximum number of messages to retrieve for each poke (templated)
    :param num_batches: The number of times the sensor will call the SQS API to receive messages (default: 1)
    :param wait_time_seconds: The time in seconds to wait for receiving messages (default: 1 second)
    :param visibility_timeout: Visibility timeout, a period of time during which
        Amazon SQS prevents other consumers from receiving and processing the message.
    :param message_filtering: Specified how received messages should be filtered. Supported options are:
        `None` (no filtering, default), `'literal'` (message Body literal match), `'jsonpath'`
        (message Body filtered using a JSONPath expression), or `'jsonpath-ext'` (like `'jsonpath'`, but with
        an expanded query grammar). You may add further methods by overriding the relevant class methods.
    :param message_filtering_match_values: Optional value/s for the message filter to match on.
        For example, with literal matching, if a message body matches any of the specified values
        then it is included. For JSONPath matching, the result of the JSONPath expression is used
        and may match any of the specified values.
    :param message_filtering_config: Additional configuration to pass to the message filter.
        For example with JSONPath filtering you can pass a JSONPath expression string here,
        such as `'foo[*].baz'`. Messages with a Body which does not match are ignored.
    :param delete_message_on_reception: Default to `True`, the messages are deleted from the queue
        as soon as being consumed. Otherwise, the messages remain in the queue after consumption and
        should be deleted manually.
    :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 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
    """



    aws_hook_class = SqsHook



    template_fields: Sequence[str] = aws_template_fields(
        "sqs_queue", "max_messages", "message_filtering_config"
    )


    def __init__(
        self,
        *,
        sqs_queue,
        max_messages: int = 5,
        num_batches: int = 1,
        wait_time_seconds: int = 1,
        visibility_timeout: int | None = None,
        message_filtering: MessageFilteringType | None = None,
        message_filtering_match_values: Any = None,
        message_filtering_config: Any = None,
        delete_message_on_reception: bool = True,
        deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
        **kwargs,
    ):
        super().__init__(**kwargs)


        self.sqs_queue = sqs_queue



        self.max_messages = max_messages



        self.num_batches = num_batches



        self.wait_time_seconds = wait_time_seconds



        self.visibility_timeout = visibility_timeout




        self.message_filtering = message_filtering




        self.delete_message_on_reception = delete_message_on_reception


        if message_filtering_match_values is not None:
            if not isinstance(message_filtering_match_values, set):
                message_filtering_match_values = set(message_filtering_match_values)


        self.message_filtering_match_values = message_filtering_match_values


        if self.message_filtering == "literal":
            if self.message_filtering_match_values is None:
                raise TypeError("message_filtering_match_values must be specified for literal matching")



        self.message_filtering_config = message_filtering_config



        self.deferrable = deferrable




    def execute(self, context: Context) -> Any:
        if self.deferrable:
            self.defer(
                trigger=SqsSensorTrigger(
                    sqs_queue=self.sqs_queue,
                    aws_conn_id=self.aws_conn_id,
                    max_messages=self.max_messages,
                    num_batches=self.num_batches,
                    wait_time_seconds=self.wait_time_seconds,
                    visibility_timeout=self.visibility_timeout,
                    message_filtering=self.message_filtering,
                    message_filtering_match_values=self.message_filtering_match_values,
                    message_filtering_config=self.message_filtering_config,
                    delete_message_on_reception=self.delete_message_on_reception,
                    waiter_delay=int(self.poke_interval),
                    region_name=self.region_name,
                    verify=self.verify,
                    botocore_config=self.botocore_config,
                ),
                method_name="execute_complete",
                timeout=timedelta(seconds=self.timeout),
            )
        else:
            super().execute(context=context)




    def execute_complete(self, context: Context, event: dict | None = None) -> None:
        validated_event = validate_execute_complete_event(event)

        if validated_event["status"] != "success":
            raise AirflowException(f"Trigger error: event is {validated_event}")
        context["ti"].xcom_push(key="messages", value=validated_event["message_batch"])




    def poll_sqs(self, sqs_conn: BaseAwsConnection) -> Collection:
        """
        Poll SQS queue to retrieve messages.

        :param sqs_conn: SQS connection
        :return: A list of messages retrieved from SQS
        """
        self.log.info("SqsSensor checking for message on queue: %s", self.sqs_queue)

        receive_message_kwargs = {
            "QueueUrl": self.sqs_queue,
            "MaxNumberOfMessages": self.max_messages,
            "WaitTimeSeconds": self.wait_time_seconds,
        }
        if self.visibility_timeout is not None:
            receive_message_kwargs["VisibilityTimeout"] = self.visibility_timeout

        response = sqs_conn.receive_message(**receive_message_kwargs)
        return response




    def poke(self, context: Context):
        """
        Check subscribed queue for messages and write them to xcom with the ``messages`` key.

        :param context: the context object
        :return: ``True`` if message is available or ``False``
        """
        message_batch: list[Any] = []

        # perform multiple SQS call to retrieve messages in series
        for _ in range(self.num_batches):
            response = self.poll_sqs(sqs_conn=self.hook.conn)
            messages = process_response(
                response,
                self.message_filtering,
                self.message_filtering_match_values,
                self.message_filtering_config,
            )

            if not messages:
                continue

            message_batch.extend(messages)

            if self.delete_message_on_reception:
                self.log.info("Deleting %d messages", len(messages))

                entries = [
                    {"Id": message["MessageId"], "ReceiptHandle": message["ReceiptHandle"]}
                    for message in messages
                ]
                response = self.hook.conn.delete_message_batch(QueueUrl=self.sqs_queue, Entries=entries)

                if "Successful" not in response:
                    raise AirflowException(f"Delete SQS Messages failed {response} for messages {messages}")
        if message_batch:
            context["ti"].xcom_push(key="messages", value=message_batch)
            return True
        else:
            return False

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