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

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from __future__ import annotations

from typing import TYPE_CHECKING, Any, Iterable, Sequence

from airflow.providers.amazon.aws.hooks.dynamodb import DynamoDBHook
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 DynamoDBValueSensor(AwsBaseSensor[DynamoDBHook]):
    """
    Waits for an attribute value to be present for an item in a DynamoDB table.

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

    :param table_name: DynamoDB table name
    :param partition_key_name: DynamoDB partition key name
    :param partition_key_value: DynamoDB partition key value
    :param attribute_name: DynamoDB attribute name
    :param attribute_value: DynamoDB attribute value
    :param sort_key_name: (optional) DynamoDB sort key name
    :param sort_key_value: (optional) DynamoDB sort key value
    :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 = DynamoDBHook


[docs]    template_fields: Sequence[str] = aws_template_fields(
        "table_name",
        "partition_key_name",
        "partition_key_value",
        "attribute_name",
        "attribute_value",
        "sort_key_name",
        "sort_key_value",
    )


    def __init__(
        self,
        table_name: str,
        partition_key_name: str,
        partition_key_value: str,
        attribute_name: str,
        attribute_value: str | Iterable[str],
        sort_key_name: str | None = None,
        sort_key_value: str | None = None,
        **kwargs: Any,
    ):
        super().__init__(**kwargs)
        self.table_name = table_name
        self.partition_key_name = partition_key_name
        self.partition_key_value = partition_key_value
        self.attribute_name = attribute_name
        self.attribute_value = attribute_value
        self.sort_key_name = sort_key_name
        self.sort_key_value = sort_key_value


[docs]    def poke(self, context: Context) -> bool:
        """Test DynamoDB item for matching attribute value."""
        key = {self.partition_key_name: self.partition_key_value}
        msg = (
            f"Checking table {self.table_name} for "
            f"item Partition Key: {self.partition_key_name}={self.partition_key_value}"
        )

        if self.sort_key_name and self.sort_key_value:
            key = {self.partition_key_name: self.partition_key_value, self.sort_key_name: self.sort_key_value}
            msg += f"\nSort Key: {self.sort_key_name}={self.sort_key_value}"

        msg += f"\nattribute: {self.attribute_name}={self.attribute_value}"

        self.log.info(msg)
        table = self.hook.conn.Table(self.table_name)
        self.log.info("Table: %s", table)
        self.log.info("Key: %s", key)
        response = table.get_item(Key=key)
        try:
            item_attribute_value = response["Item"][self.attribute_name]
            self.log.info("Response: %s", response)
            self.log.info("Want: %s = %s", self.attribute_name, self.attribute_value)
            self.log.info("Got: {response['Item'][self.attribute_name]} = %s", item_attribute_value)
            return item_attribute_value in (
                [self.attribute_value] if isinstance(self.attribute_value, str) else self.attribute_value
            )
        except KeyError:
            return False

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