stop_solution_version_creation ¶

stop_solution_version_creation(
    solution_version_arn: Arn,
    *,
    config_overrides: Optional[PersonalizeClientConfig] = None,
) -> None

Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.

Depending on the current state of the solution version, the solution version state changes as follows:

CREATE_PENDING > CREATE_STOPPED

or
CREATE_IN_PROGRESS > CREATE_STOPPING > CREATE_STOPPED

You are billed for all of the training completed up until you stop the solution version creation. You cannot resume creating a solution version once it has been stopped.

Parameters:

solution_version_arn (Arn) –

The Amazon Resource Name (ARN) of the solution version you want to stop creating.

Raises:

InvalidInputException –

Provide a valid value for the field or parameter.
ResourceInUseException –

The specified resource is in use.
ResourceNotFoundException –

Could not find the specified resource.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_personalize/_services/personalize.py

def stop_solution_version_creation(
    self,
    solution_version_arn: "capo_personalize.types.arn.Arn",
    *,
    config_overrides: Optional[PersonalizeClientConfig] = None,
) -> None:
    """<p>Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS. </p> <p>Depending on the current state of the solution version, the solution version state changes as follows:</p> <ul> <li> <p>CREATE_PENDING > CREATE_STOPPED</p> <p>or</p> </li> <li> <p>CREATE_IN_PROGRESS > CREATE_STOPPING > CREATE_STOPPED</p> </li> </ul> <p>You are billed for all of the training completed up until you stop the solution version creation. You cannot resume creating a solution version once it has been stopped.</p>

    Args:
        solution_version_arn: <p>The Amazon Resource Name (ARN) of the solution version you want to stop creating.</p>

    Raises:
        capo_personalize.errors.invalid_input_exception.InvalidInputException: <p>Provide a valid value for the field or parameter.</p>
        capo_personalize.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is in use.</p>
        capo_personalize.errors.resource_not_found_exception.ResourceNotFoundException: <p>Could not find the specified resource.</p>
        capo_personalize.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_personalize.types.stop_solution_version_creation_request.StopSolutionVersionCreationRequest]",
    ) -> OperationResponse[None]:
        import capo_personalize._operations.amazon_personalize.stop_solution_version_creation

        output, http_response = (
            capo_personalize._operations.amazon_personalize.stop_solution_version_creation.stop_solution_version_creation(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StopSolutionVersionCreation")
    )
    input_: capo_personalize.types.stop_solution_version_creation_request.StopSolutionVersionCreationRequest = {
        "solution_version_arn": solution_version_arn
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output