seanghaeli commented on code in PR #51719:
URL: https://github.com/apache/airflow/pull/51719#discussion_r2241208768
##########
providers/amazon/src/airflow/providers/amazon/aws/sensors/mwaa.py:
##########
@@ -150,8 +150,148 @@ def execute(self, context: Context):
external_dag_run_id=self.external_dag_run_id,
success_states=self.success_states,
failure_states=self.failure_states,
- # somehow the type of poke_interval is derived as float ??
- waiter_delay=self.poke_interval, # type: ignore[arg-type]
+ waiter_delay=int(self.poke_interval),
+ waiter_max_attempts=self.max_retries,
+ aws_conn_id=self.aws_conn_id,
+ ),
+ method_name="execute_complete",
+ )
+ else:
+ super().execute(context=context)
+
+
+class MwaaTaskSensor(AwsBaseSensor[MwaaHook]):
+ """
+ Waits for a task in an MWAA Environment to complete.
+
+ If the task fails, an AirflowException is thrown.
+
+ .. seealso::
+ For more information on how to use this sensor, take a look at the
guide:
+ :ref:`howto/sensor:MwaaTaskSensor`
+
+ :param external_env_name: The external MWAA environment name that contains
the Task Instance you want to wait for
+ (templated)
+ :param external_dag_id: The DAG ID in the external MWAA environment that
contains the Task Instance you want to wait for
+ (templated)
+ :param external_dag_run_id: The DAG Run ID in the external MWAA
environment that you want to wait for (templated)
+ :param external_task_id: The Task ID in the external MWAA environment that
you want to wait for (templated)
+ :param success_states: Collection of task instance states that would make
this task marked as successful, default is
+ ``{airflow.utils.state.TaskInstanceState.SUCCESS}`` (templated)
+ :param failure_states: Collection of task instance states that would make
this task marked as failed and raise an
+ AirflowException, default is
``{airflow.utils.state.TaskInstanceState.FAILED}`` (templated)
+ :param deferrable: If True, the sensor will operate in deferrable mode.
This mode requires aiobotocore
+ module to be installed.
+ (default: False, but can be overridden in config file by setting
default_deferrable to True)
+ :param poke_interval: Polling period in seconds to check for the status of
the job. (default: 60)
+ :param max_retries: Number of times before returning the current state.
(default: 720)
+ :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
+ """
+
+ aws_hook_class = MwaaHook
+ template_fields: Sequence[str] = aws_template_fields(
+ "external_env_name",
+ "external_dag_id",
+ "external_dag_run_id",
+ "external_task_id",
+ "success_states",
+ "failure_states",
+ "deferrable",
+ "max_retries",
+ "poke_interval",
+ )
+
+ def __init__(
+ self,
+ *,
+ external_env_name: str,
+ external_dag_id: str,
+ external_dag_run_id: str | None = None,
+ external_task_id: str,
+ success_states: Collection[str] | None = None,
+ failure_states: Collection[str] | None = None,
+ deferrable: bool = conf.getboolean("operators", "default_deferrable",
fallback=False),
+ poke_interval: int = 60,
+ max_retries: int = 720,
+ **kwargs,
+ ):
+ super().__init__(**kwargs)
+
+ self.success_states = set(success_states) if success_states else
{TaskInstanceState.SUCCESS.value}
+ self.failure_states = set(failure_states) if failure_states else
{TaskInstanceState.FAILED.value}
+
+ if len(self.success_states & self.failure_states):
+ raise ValueError("success_states and failure_states must not have
any values in common")
+
+ self.external_env_name = external_env_name
+ self.external_dag_id = external_dag_id
+ self.external_dag_run_id = external_dag_run_id
+ self.external_task_id = external_task_id
+ self.deferrable = deferrable
+ self.poke_interval = poke_interval
+ self.max_retries = max_retries
+
+ def poke(self, context: Context) -> bool:
+ self.log.info(
+ "Poking for task %s of DAG run %s of DAG %s in MWAA environment
%s",
+ self.external_task_id,
+ self.external_dag_run_id,
+ self.external_dag_id,
+ self.external_env_name,
+ )
+
+ response = self.hook.invoke_rest_api(
+ env_name=self.external_env_name,
+
path=f"/dags/{self.external_dag_id}/dagRuns/{self.external_dag_run_id}/taskInstances/{self.external_task_id}",
+ method="GET",
+ )
+ # If RestApiStatusCode == 200, the RestApiResponse must have the
"state" key, otherwise something terrible has
+ # happened in the API and KeyError would be raised
+ # If RestApiStatusCode >= 300, a botocore exception would've already
been raised during the
+ # self.hook.invoke_rest_api call
+ # The scope of this sensor is going to only be raising
AirflowException due to failure of the task
+
+ state = response["RestApiResponse"]["state"]
+
+ if state in self.failure_states:
+ raise AirflowException(
+ f"The task {self.external_task_id} of DAG run
{self.external_dag_run_id} of DAG {self.external_dag_id} in MWAA environment
{self.external_env_name} "
+ f"failed with state: {state}"
+ )
+
+ return state in self.success_states
+
+ def execute_complete(self, context: Context, event: dict[str, Any] | None
= None) -> None:
+ validate_execute_complete_event(event)
Review Comment:
Added the `end_from_trigger` property and removed the `execute_complete`
method from the sensor. The tests are passing
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