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list_channels

list_channels(
    cluster_arn: __string,
    *,
    config_overrides: Optional[KafkaClientConfig] = None,
    max_results: Optional[MaxResults] = None,
    next_token: Optional[__string] = None,
    topic_name_filter: Optional[__string] = None,
) -> ListChannelsResponse

Returns the list of channels in a cluster.

Parameters:

  • cluster_arn (__string) –

    The Amazon Resource Name (ARN) that uniquely identifies the cluster.

  • max_results (Optional[MaxResults], default: None ) –

    Maximum number of channels to return in a single response.

  • next_token (Optional[__string], default: None ) –

    If the response of ListChannels is truncated, it returns a nextToken in the response. This nextToken should be sent in the subsequent request to ListChannels.

  • topic_name_filter (Optional[__string], default: None ) –

    Filters results to channels whose topic name matches the specified value.

Raises:

Source code in docs_src/capo_kafka/_services/kafka.py
def list_channels(
    self,
    cluster_arn: "capo_kafka.types.__string.__string",
    *,
    config_overrides: Optional[KafkaClientConfig] = None,
    max_results: Optional["capo_kafka.types.max_results.MaxResults"] = None,
    next_token: Optional["capo_kafka.types.__string.__string"] = None,
    topic_name_filter: Optional["capo_kafka.types.__string.__string"] = None,
) -> "capo_kafka.types.list_channels_response.ListChannelsResponse":
    """<p>Returns the list of channels in a cluster.</p>

    Args:
        cluster_arn: <p>The Amazon Resource Name (ARN) that uniquely identifies the cluster.</p>
        max_results: <p>Maximum number of channels to return in a single response.</p>
        next_token: <p>If the response of ListChannels is truncated, it returns a nextToken in the response. This nextToken should be sent in the subsequent request to ListChannels.</p>
        topic_name_filter: <p>Filters results to channels whose topic name matches the specified value.</p>

    Raises:
        capo_kafka.errors.bad_request_exception.BadRequestException: <p>Returns information about an error.</p>
        capo_kafka.errors.forbidden_exception.ForbiddenException: <p>Returns information about an error.</p>
        capo_kafka.errors.internal_server_error_exception.InternalServerErrorException: <p>Returns information about an error.</p>
        capo_kafka.errors.not_found_exception.NotFoundException: <p>Returns information about an error.</p>
        capo_kafka.errors.service_unavailable_exception.ServiceUnavailableException: <p>Returns information about an error.</p>
        capo_kafka.errors.too_many_requests_exception.TooManyRequestsException: <p>Returns information about an error.</p>
        capo_kafka.errors.unauthorized_exception.UnauthorizedException: <p>Returns information about an error.</p>
        capo_kafka.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_kafka.types.list_channels_request.ListChannelsRequest]",
    ) -> OperationResponse[
        "capo_kafka.types.list_channels_response.ListChannelsResponse"
    ]:
        import capo_kafka._operations.kafka.list_channels

        output, http_response = (
            capo_kafka._operations.kafka.list_channels.list_channels(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListChannels")
    )
    input_: capo_kafka.types.list_channels_request.ListChannelsRequest = {
        "cluster_arn": cluster_arn
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token
    if topic_name_filter is not None:
        input_["topic_name_filter"] = topic_name_filter

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