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airflow.providers.amazon.aws.sensors.sagemaker

Module Contents

Classes

SageMakerBaseSensor	Contains general sensor behavior for SageMaker.
SageMakerEndpointSensor	Polls the endpoint state until it reaches a terminal state. Raises an
SageMakerTransformSensor	Polls the transform job until it reaches a terminal state. Raises an
SageMakerTuningSensor	Asks for the state of the tuning state until it reaches a terminal state.
SageMakerTrainingSensor	Polls the training job until it reaches a terminal state. Raises an

class airflow.providers.amazon.aws.sensors.sagemaker.SageMakerBaseSensor(*, aws_conn_id='aws_default', **kwargs)

Bases: airflow.sensors.base.BaseSensorOperator

Contains general sensor behavior for SageMaker.

Subclasses should implement get_sagemaker_response() and state_from_response() methods. Subclasses should also implement NON_TERMINAL_STATES and FAILED_STATE methods.

ui_color = #ededed

get_hook()

Get SageMakerHook.

poke(context)

Function that the sensors defined while deriving this class should override.

abstract non_terminal_states()

Placeholder for returning states with should not terminate.

abstract failed_states()

Placeholder for returning states with are considered failed.

abstract get_sagemaker_response()

Placeholder for checking status of a SageMaker task.

get_failed_reason_from_response(response)

Placeholder for extracting the reason for failure from an AWS response.

abstract state_from_response(response)

Placeholder for extracting the state from an AWS response.

class airflow.providers.amazon.aws.sensors.sagemaker.SageMakerEndpointSensor(*, endpoint_name, **kwargs)

Bases: SageMakerBaseSensor

Polls the endpoint state until it reaches a terminal state. Raises an AirflowException with the failure reason if a failed state is reached.

See also

For more information on how to use this sensor, take a look at the guide: Wait on an Amazon SageMaker endpoint state

Parameters

endpoint_name – Name of the endpoint instance to watch.

template_fields :Sequence[str] = ['endpoint_name']

template_ext :Sequence[str] = []

non_terminal_states()

Placeholder for returning states with should not terminate.

failed_states()

Placeholder for returning states with are considered failed.

get_sagemaker_response()

Placeholder for checking status of a SageMaker task.

get_failed_reason_from_response(response)

Placeholder for extracting the reason for failure from an AWS response.

state_from_response(response)

Placeholder for extracting the state from an AWS response.

class airflow.providers.amazon.aws.sensors.sagemaker.SageMakerTransformSensor(*, job_name, **kwargs)

Bases: SageMakerBaseSensor

Polls the transform job until it reaches a terminal state. Raises an AirflowException with the failure reason if a failed state is reached.

See also

For more information on how to use this sensor, take a look at the guide: Wait on an Amazon SageMaker transform job state

Parameters

job_name (str) – Name of the transform job to watch.

template_fields :Sequence[str] = ['job_name']

template_ext :Sequence[str] = []

non_terminal_states()

Placeholder for returning states with should not terminate.

failed_states()

Placeholder for returning states with are considered failed.

get_sagemaker_response()

Placeholder for checking status of a SageMaker task.

get_failed_reason_from_response(response)

Placeholder for extracting the reason for failure from an AWS response.

state_from_response(response)

Placeholder for extracting the state from an AWS response.

class airflow.providers.amazon.aws.sensors.sagemaker.SageMakerTuningSensor(*, job_name, **kwargs)

Bases: SageMakerBaseSensor

Asks for the state of the tuning state until it reaches a terminal state. Raises an AirflowException with the failure reason if a failed state is reached.

See also

For more information on how to use this sensor, take a look at the guide: Wait on an Amazon SageMaker tuning job state

Parameters

job_name (str) – Name of the tuning instance to watch.

template_fields :Sequence[str] = ['job_name']

template_ext :Sequence[str] = []

non_terminal_states()

Placeholder for returning states with should not terminate.

failed_states()

Placeholder for returning states with are considered failed.

get_sagemaker_response()

Placeholder for checking status of a SageMaker task.

get_failed_reason_from_response(response)

Placeholder for extracting the reason for failure from an AWS response.

state_from_response(response)

Placeholder for extracting the state from an AWS response.

class airflow.providers.amazon.aws.sensors.sagemaker.SageMakerTrainingSensor(*, job_name, print_log=True, **kwargs)

Bases: SageMakerBaseSensor

Polls the training job until it reaches a terminal state. Raises an AirflowException with the failure reason if a failed state is reached.

See also

For more information on how to use this sensor, take a look at the guide: Wait on an Amazon SageMaker training job state

Parameters

• job_name – Name of the training job to watch.

• print_log – Prints the cloudwatch log if True; Defaults to True.

template_fields :Sequence[str] = ['job_name']

template_ext :Sequence[str] = []

init_log_resource(hook)

Set tailing LogState for associated training job.

non_terminal_states()

Placeholder for returning states with should not terminate.

failed_states()

Placeholder for returning states with are considered failed.

get_sagemaker_response()

Placeholder for checking status of a SageMaker task.

get_failed_reason_from_response(response)

Placeholder for extracting the reason for failure from an AWS response.

state_from_response(response)

Placeholder for extracting the state from an AWS response.

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