Use base aws classes in AWS Step Functions Operators/Sensors/Triggers

airflow/providers/amazon/aws/operators/step_function.py

@@ -22,15 +22,16 @@
 
 from airflow.configuration import conf
 from airflow.exceptions import AirflowException
-from airflow.models import BaseOperator
 from airflow.providers.amazon.aws.hooks.step_function import StepFunctionHook
+from airflow.providers.amazon.aws.operators.base_aws import AwsBaseOperator
 from airflow.providers.amazon.aws.triggers.step_function import StepFunctionsExecutionCompleteTrigger
+from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
 
 if TYPE_CHECKING:
     from airflow.utils.context import Context
 
 
-class StepFunctionStartExecutionOperator(BaseOperator):
+class StepFunctionStartExecutionOperator(AwsBaseOperator[StepFunctionHook]):
     """
     An Operator that begins execution of an AWS Step Function State Machine.
 
@@ -50,10 +51,20 @@ class StepFunctionStartExecutionOperator(BaseOperator):
     :param deferrable: If True, the operator will wait asynchronously for the job to complete.
         This implies waiting for completion. 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
     """
 
-    template_fields: Sequence[str] = ("state_machine_arn", "name", "input")
-    template_ext: Sequence[str] = ()
+    aws_hook_class = StepFunctionHook
+    template_fields: Sequence[str] = aws_template_fields("state_machine_arn", "name", "input")
     ui_color = "#f9c915"
 
     def __init__(
@@ -62,8 +73,6 @@ def __init__(
         state_machine_arn: str,
         name: str | None = None,
         state_machine_input: dict | str | None = None,
-        aws_conn_id: str = "aws_default",
-        region_name: str | None = None,
         waiter_max_attempts: int = 30,
         waiter_delay: int = 60,
         deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
@@ -73,18 +82,12 @@ def __init__(
         self.state_machine_arn = state_machine_arn
         self.name = name
         self.input = state_machine_input
-        self.aws_conn_id = aws_conn_id
-        self.region_name = region_name
         self.waiter_delay = waiter_delay
         self.waiter_max_attempts = waiter_max_attempts
         self.deferrable = deferrable
 
     def execute(self, context: Context):
-        hook = StepFunctionHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
-
-        execution_arn = hook.start_execution(self.state_machine_arn, self.name, self.input)
-
-        if execution_arn is None:
+        if not (execution_arn := self.hook.start_execution(self.state_machine_arn, self.name, self.input)):
             raise AirflowException(f"Failed to start State Machine execution for: {self.state_machine_arn}")
 
         self.log.info("Started State Machine execution for %s: %s", self.state_machine_arn, execution_arn)
@@ -96,6 +99,8 @@ def execute(self, context: Context):
                     waiter_max_attempts=self.waiter_max_attempts,
                     aws_conn_id=self.aws_conn_id,
                     region_name=self.region_name,
+                    botocore_config=self.botocore_config,
+                    verify=self.verify,
                 ),
                 method_name="execute_complete",
                 timeout=timedelta(seconds=self.waiter_max_attempts * self.waiter_delay),
@@ -110,7 +115,7 @@ def execute_complete(self, context: Context, event: dict[str, Any] | None = None
         return event["execution_arn"]
 
 
-class StepFunctionGetExecutionOutputOperator(BaseOperator):
+class StepFunctionGetExecutionOutputOperator(AwsBaseOperator[StepFunctionHook]):
     """
     An Operator that returns the output of an AWS Step Function State Machine execution.
 
@@ -121,30 +126,28 @@ class StepFunctionGetExecutionOutputOperator(BaseOperator):
         :ref:`howto/operator:StepFunctionGetExecutionOutputOperator`
 
     :param execution_arn: ARN of the Step Function State Machine Execution
-    :param aws_conn_id: aws connection to use, defaults to 'aws_default'
+    :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
     """
 
-    template_fields: Sequence[str] = ("execution_arn",)
-    template_ext: Sequence[str] = ()
+    aws_hook_class = StepFunctionHook
+    template_fields: Sequence[str] = aws_template_fields("execution_arn")
     ui_color = "#f9c915"
 
-    def __init__(
-        self,
-        *,
-        execution_arn: str,
-        aws_conn_id: str = "aws_default",
-        region_name: str | None = None,
-        **kwargs,
-    ):
+    def __init__(self, *, execution_arn: str, **kwargs):
         super().__init__(**kwargs)
         self.execution_arn = execution_arn
-        self.aws_conn_id = aws_conn_id
-        self.region_name = region_name
 
     def execute(self, context: Context):
-        hook = StepFunctionHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
-
-        execution_status = hook.describe_execution(self.execution_arn)
+        execution_status = self.hook.describe_execution(self.execution_arn)
         response = None
         if "output" in execution_status:
             response = json.loads(execution_status["output"])

airflow/providers/amazon/aws/sensors/step_function.py

@@ -17,20 +17,20 @@
 from __future__ import annotations
 
 import json
-from functools import cached_property
 from typing import TYPE_CHECKING, Sequence
 
 from deprecated import deprecated
 
 from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning, AirflowSkipException
 from airflow.providers.amazon.aws.hooks.step_function import StepFunctionHook
-from airflow.sensors.base import BaseSensorOperator
+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
 
 
-class StepFunctionExecutionSensor(BaseSensorOperator):
+class StepFunctionExecutionSensor(AwsBaseSensor[StepFunctionHook]):
     """
     Poll the Step Function State Machine Execution until it reaches a terminal state; fails if the task fails.
 
@@ -42,7 +42,16 @@ class StepFunctionExecutionSensor(BaseSensorOperator):
         :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'
+    :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
     """
 
     INTERMEDIATE_STATES = ("RUNNING",)
@@ -53,22 +62,13 @@ class StepFunctionExecutionSensor(BaseSensorOperator):
     )
     SUCCESS_STATES = ("SUCCEEDED",)
 
-    template_fields: Sequence[str] = ("execution_arn",)
-    template_ext: Sequence[str] = ()
+    aws_hook_class = StepFunctionHook
+    template_fields: Sequence[str] = aws_template_fields("execution_arn")
     ui_color = "#66c3ff"
 
-    def __init__(
-        self,
-        *,
-        execution_arn: str,
-        aws_conn_id: str = "aws_default",
-        region_name: str | None = None,
-        **kwargs,
-    ):
+    def __init__(self, *, execution_arn: str, **kwargs):
         super().__init__(**kwargs)
         self.execution_arn = execution_arn
-        self.aws_conn_id = aws_conn_id
-        self.region_name = region_name
 
     def poke(self, context: Context):
         execution_status = self.hook.describe_execution(self.execution_arn)
@@ -93,7 +93,3 @@ def poke(self, context: Context):
     def get_hook(self) -> StepFunctionHook:
         """Create and return a StepFunctionHook."""
         return self.hook
-
-    @cached_property
-    def hook(self) -> StepFunctionHook:
-        return StepFunctionHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)

airflow/providers/amazon/aws/triggers/step_function.py

@@ -43,6 +43,7 @@ def __init__(
         waiter_max_attempts: int = 30,
         aws_conn_id: str | None = None,
         region_name: str | None = None,
+        **kwargs,
     ) -> None:
         super().__init__(
             serialized_fields={"execution_arn": execution_arn, "region_name": region_name},
@@ -56,7 +57,13 @@ def __init__(
             waiter_delay=waiter_delay,
             waiter_max_attempts=waiter_max_attempts,
             aws_conn_id=aws_conn_id,
+            **kwargs,
         )
 
     def hook(self) -> AwsGenericHook:
-        return StepFunctionHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
+        return StepFunctionHook(
+            aws_conn_id=self.aws_conn_id,
+            region_name=self.region_name,
+            verify=self.verify,
+            config=self.botocore_config,
+        )

docs/apache-airflow-providers-amazon/operators/step_functions.rst

@@ -28,6 +28,11 @@ Prerequisite Tasks
 
 .. include:: ../_partials/prerequisite_tasks.rst
 
+Generic Parameters
+------------------
+
+.. include:: ../_partials/generic_parameters.rst
+
 Operators
 ---------