batch_get_channel ¶

def batch_get_channel(
    self,
    arns: "capo_ivs.types.channel_arn_list.ChannelArnList",
    *,
    config_overrides: Optional[ivsClientConfig] = None,
) -> "capo_ivs.types.batch_get_channel_response.BatchGetChannelResponse":
    """<p>Performs <a>GetChannel</a> on multiple ARNs simultaneously.</p>

    Args:
        arns: <p>Array of ARNs, one per channel.</p>

    Raises:
        capo_ivs.errors.access_denied_exception.AccessDeniedException: <p>User does not have sufficient access to perform this action.</p>
        capo_ivs.errors.service_unavailable.ServiceUnavailable: <p>The service is temporarily unavailable.</p>
        capo_ivs.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_ivs.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_ivs.types.batch_get_channel_request.BatchGetChannelRequest]",
    ) -> OperationResponse[
        "capo_ivs.types.batch_get_channel_response.BatchGetChannelResponse"
    ]:
        import capo_ivs._operations.amazon_interactive_video_service.batch_get_channel

        output, http_response = (
            capo_ivs._operations.amazon_interactive_video_service.batch_get_channel.batch_get_channel(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_ivs.types.batch_get_channel_response.BatchGetChannelResponse",
    ) -> dict[str, Any]:
        import capo_ivs.types.batch_get_channel_response

        return capo_ivs.types.batch_get_channel_response.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("BatchGetChannel", redact_output=_redact_output),
    )
    input_: capo_ivs.types.batch_get_channel_request.BatchGetChannelRequest = {
        "arns": arns
    }

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