airflow step_function 源码
airflow step_function 代码
文件路径:/airflow/providers/amazon/aws/hooks/step_function.py
# 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 json
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
class StepFunctionHook(AwsBaseHook):
"""
Interact with an AWS Step Functions State Machine.
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"] = "stepfunctions"
super().__init__(*args, **kwargs)
def start_execution(
self,
state_machine_arn: str,
name: str | None = None,
state_machine_input: dict | str | None = None,
) -> str:
"""
Start Execution of the State Machine.
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/stepfunctions.html#SFN.Client.start_execution
:param state_machine_arn: AWS Step Function State Machine ARN
:param name: The name of the execution.
:param state_machine_input: JSON data input to pass to the State Machine
:return: Execution ARN
:rtype: str
"""
execution_args = {'stateMachineArn': state_machine_arn}
if name is not None:
execution_args['name'] = name
if state_machine_input is not None:
if isinstance(state_machine_input, str):
execution_args['input'] = state_machine_input
elif isinstance(state_machine_input, dict):
execution_args['input'] = json.dumps(state_machine_input)
self.log.info('Executing Step Function State Machine: %s', state_machine_arn)
response = self.conn.start_execution(**execution_args)
return response.get('executionArn')
def describe_execution(self, execution_arn: str) -> dict:
"""
Describes a State Machine Execution
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/stepfunctions.html#SFN.Client.describe_execution
:param execution_arn: ARN of the State Machine Execution
:return: Dict with Execution details
:rtype: dict
"""
return self.get_conn().describe_execution(executionArn=execution_arn)
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