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

# 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 asyncio
from collections.abc import AsyncIterator, Iterable
from functools import cached_property
from typing import Any

from boto3.dynamodb.types import TypeDeserializer
from botocore.exceptions import ClientError

from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
from airflow.providers.amazon.version_compat import AIRFLOW_V_3_0_PLUS

if AIRFLOW_V_3_0_PLUS:
    from airflow.triggers.base import BaseEventTrigger, TriggerEvent
else:
    from airflow.triggers.base import (  # type: ignore
        BaseTrigger as BaseEventTrigger,
        TriggerEvent,
    )


[docs] class DynamoDBValueSensorTrigger(BaseEventTrigger): """ Asynchronously poll a DynamoDB item until the given attribute matches one of the expected values. The polling uses the low-level DynamoDB client (aiobotocore exposes clients only, not the boto3 resource API used by ``DynamoDBHook``), so keys are sent as typed string attributes, matching the string-typed key parameters of :class:`~airflow.providers.amazon.aws.sensors.dynamodb.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: expected DynamoDB attribute value (or values, any of which matches) :param sort_key_name: (optional) DynamoDB sort key name :param sort_key_value: (optional) DynamoDB sort key value :param waiter_delay: The time in seconds to wait between DynamoDB API calls :param aws_conn_id: The Airflow connection used for AWS credentials. :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 """ 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, waiter_delay: int = 60, aws_conn_id: str | None = "aws_default", region_name: str | None = None, verify: bool | str | None = None, botocore_config: dict | None = None, ):
[docs] self.table_name = table_name
[docs] self.partition_key_name = partition_key_name
[docs] self.partition_key_value = partition_key_value
[docs] self.attribute_name = attribute_name
[docs] self.attribute_value = ( [attribute_value] if isinstance(attribute_value, str) else list(attribute_value) )
[docs] self.sort_key_name = sort_key_name
[docs] self.sort_key_value = sort_key_value
[docs] self.waiter_delay = waiter_delay
[docs] self.aws_conn_id = aws_conn_id
[docs] self.region_name = region_name
[docs] self.verify = verify
[docs] self.botocore_config = botocore_config
[docs] def serialize(self) -> tuple[str, dict[str, Any]]: return ( self.__class__.__module__ + "." + self.__class__.__qualname__, { "table_name": self.table_name, "partition_key_name": self.partition_key_name, "partition_key_value": self.partition_key_value, "attribute_name": self.attribute_name, "attribute_value": self.attribute_value, "sort_key_name": self.sort_key_name, "sort_key_value": self.sort_key_value, "waiter_delay": self.waiter_delay, "aws_conn_id": self.aws_conn_id, "region_name": self.region_name, "verify": self.verify, "botocore_config": self.botocore_config, }, )
@cached_property
[docs] def hook(self) -> AwsBaseHook: # DynamoDBHook is resource-based, but async connections are only available for # clients, so the trigger talks to DynamoDB through a client-type hook instead. return AwsBaseHook( aws_conn_id=self.aws_conn_id, region_name=self.region_name, verify=self.verify, config=self.botocore_config, client_type="dynamodb", )
@property
[docs] def key(self) -> dict[str, Any]: key = {self.partition_key_name: {"S": self.partition_key_value}} if self.sort_key_name and self.sort_key_value: key[self.sort_key_name] = {"S": self.sort_key_value} return key
[docs] async def poke(self, client: Any) -> bool: """Test the DynamoDB item for a matching attribute value, mirroring the sensor's poke.""" self.log.info( "Checking table %s for item with key %s, waiting for attribute %s to be one of %s", self.table_name, self.key, self.attribute_name, self.attribute_value, ) try: response = await client.get_item(TableName=self.table_name, Key=self.key) except ClientError as err: # Same tolerance as the sensor's poke: log and keep trying until the task times out. self.log.error( "Couldn't get %s from table %s.\nError Code: %s\nError Message: %s", self.key, self.table_name, err.response["Error"]["Code"], err.response["Error"]["Message"], ) return False try: typed_attribute_value = response["Item"][self.attribute_name] except KeyError: return False item_attribute_value = TypeDeserializer().deserialize(typed_attribute_value) self.log.info("Got: %s = %s", self.attribute_name, item_attribute_value) return item_attribute_value in self.attribute_value
[docs] async def run(self) -> AsyncIterator[TriggerEvent]: while True: # This loop runs until the timeout set in the sensor's self.defer call is reached. async with await self.hook.get_async_conn() as client: if await self.poke(client=client): yield TriggerEvent({"status": "success"}) return await asyncio.sleep(self.waiter_delay)

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