airflow step_function 源码

airflow step_function 代码

文件路径：/airflow/providers/amazon/aws/sensors/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 typing import TYPE_CHECKING, Sequence

from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.step_function import StepFunctionHook
from airflow.sensors.base import BaseSensorOperator

if TYPE_CHECKING:
    from airflow.utils.context import Context


class StepFunctionExecutionSensor(BaseSensorOperator):
    """
    Asks for the state of the AWS Step Function State Machine Execution until it
    reaches a failure state or success state.
    If it fails, then fail the task.

    On successful completion of the Execution the Sensor will do an XCom Push
    of the State Machine's output to `output`

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

    :param execution_arn: execution_arn to check the state of
    :param aws_conn_id: aws connection to use, defaults to 'aws_default'
    """

    INTERMEDIATE_STATES = ('RUNNING',)
    FAILURE_STATES = (
        'FAILED',
        'TIMED_OUT',
        'ABORTED',
    )
    SUCCESS_STATES = ('SUCCEEDED',)

    template_fields: Sequence[str] = ('execution_arn',)
    template_ext: Sequence[str] = ()
    ui_color = '#66c3ff'

    def __init__(
        self,
        *,
        execution_arn: str,
        aws_conn_id: str = 'aws_default',
        region_name: str | None = None,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.execution_arn = execution_arn
        self.aws_conn_id = aws_conn_id
        self.region_name = region_name
        self.hook: StepFunctionHook | None = None

    def poke(self, context: Context):
        execution_status = self.get_hook().describe_execution(self.execution_arn)
        state = execution_status['status']
        output = json.loads(execution_status['output']) if 'output' in execution_status else None

        if state in self.FAILURE_STATES:
            raise AirflowException(f'Step Function sensor failed. State Machine Output: {output}')

        if state in self.INTERMEDIATE_STATES:
            return False

        self.log.info('Doing xcom_push of output')
        self.xcom_push(context, 'output', output)
        return True

    def get_hook(self) -> StepFunctionHook:
        """Create and return a StepFunctionHook"""
        if self.hook:
            return self.hook

        self.hook = StepFunctionHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
        return self.hook

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