delete_ml_input_channel_data `async` ¶

delete_ml_input_channel_data(
    ml_input_channel_arn: MLInputChannelArn,
    membership_identifier: UUID,
    *,
    config_overrides: Optional[AsyncCleanRoomsMLClientConfig] = None,
) -> None

Provides the information necessary to delete an ML input channel.

Parameters:

ml_input_channel_arn (MLInputChannelArn) –

The Amazon Resource Name (ARN) of the ML input channel that you want to delete.
membership_identifier (UUID) –

The membership ID of the membership that contains the ML input channel you want to delete.

Raises:

AccessDeniedException –

You do not have sufficient access to perform this action.
ConflictException –

You can't complete this action because another resource depends on this resource.
ResourceNotFoundException –

The resource you are requesting does not exist.
ThrottlingException –

The request was denied due to request throttling.
ValidationException –

The request parameters for this request are incorrect.
UnknownServiceError –

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

Source code in docs_src/capo_cleanroomsml/_services/async_clean_rooms_ml.py

async def delete_ml_input_channel_data(
    self,
    ml_input_channel_arn: "capo_cleanroomsml.types.ml_input_channel_arn.MLInputChannelArn",
    membership_identifier: "capo_cleanroomsml.types.uuid.UUID",
    *,
    config_overrides: Optional[AsyncCleanRoomsMLClientConfig] = None,
) -> None:
    """<p>Provides the information necessary to delete an ML input channel.</p>

    Args:
        ml_input_channel_arn: <p>The Amazon Resource Name (ARN) of the ML input channel that you want to delete.</p>
        membership_identifier: <p>The membership ID of the membership that contains the ML input channel you want to delete.</p>

    Raises:
        capo_cleanroomsml.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_cleanroomsml.errors.conflict_exception.ConflictException: <p>You can't complete this action because another resource depends on this resource.</p>
        capo_cleanroomsml.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource you are requesting does not exist.</p>
        capo_cleanroomsml.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_cleanroomsml.errors.validation_exception.ValidationException: <p>The request parameters for this request are incorrect.</p>
        capo_cleanroomsml.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_cleanroomsml.types.delete_ml_input_channel_data_request.DeleteMLInputChannelDataRequest]",
    ) -> AsyncOperationResponse[None]:
        import capo_cleanroomsml._operations.aws_stark_control_service.delete_ml_input_channel_data

        (
            output,
            http_response,
        ) = await capo_cleanroomsml._operations.aws_stark_control_service.delete_ml_input_channel_data.async_delete_ml_input_channel_data(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteMLInputChannelData")
    )
    input_: capo_cleanroomsml.types.delete_ml_input_channel_data_request.DeleteMLInputChannelDataRequest = {
        "ml_input_channel_arn": ml_input_channel_arn,
        "membership_identifier": membership_identifier,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output

delete_ml_input_channel_data async ¶

delete_ml_input_channel_data `async` ¶