start_access_logging ¶

def start_access_logging(
    self,
    container_name: "capo_mediastore.types.container_name.ContainerName",
    *,
    config_overrides: Optional[MediaStoreClientConfig] = None,
) -> "capo_mediastore.types.start_access_logging_output.StartAccessLoggingOutput":
    """<p>Starts access logging on the specified container. When you enable access logging on a container, MediaStore delivers access logs for objects stored in that container to Amazon CloudWatch Logs.</p>

    Args:
        container_name: <p>The name of the container that you want to start access logging on.</p>

    Raises:
        capo_mediastore.errors.container_in_use_exception.ContainerInUseException: <p>The container that you specified in the request already exists or is being updated.</p>
        capo_mediastore.errors.container_not_found_exception.ContainerNotFoundException: <p>The container that you specified in the request does not exist.</p>
        capo_mediastore.errors.internal_server_error.InternalServerError: <p>The service is temporarily unavailable.</p>
        capo_mediastore.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_mediastore.types.start_access_logging_input.StartAccessLoggingInput]",
    ) -> OperationResponse[
        "capo_mediastore.types.start_access_logging_output.StartAccessLoggingOutput"
    ]:
        import capo_mediastore._operations.media_store_20170901.start_access_logging

        output, http_response = (
            capo_mediastore._operations.media_store_20170901.start_access_logging.start_access_logging(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StartAccessLogging")
    )
    input_: capo_mediastore.types.start_access_logging_input.StartAccessLoggingInput = {
        "container_name": container_name
    }

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