list_channels async ¶

async def list_channels(
    self,
    *,
    config_overrides: Optional[AsyncKinesisClientConfig] = None,
    stream_filter: Optional[
        "capo_kinesis.types.stream_filter_list.StreamFilterList"
    ] = None,
    max_results: Optional[
        "capo_kinesis.types.list_channels_input_limit.ListChannelsInputLimit"
    ] = None,
    next_token: Optional["capo_kinesis.types.next_token.NextToken"] = None,
) -> "capo_kinesis.types.list_channels_output.ListChannelsOutput":
    """<p>Lists the channels in your account. You can filter the results by source stream. The results are paginated. Use the <code>NextToken</code> value returned in the response to retrieve additional results.</p> <p>Use this operation to find channels before deleting a stream, or to audit the channels configured in an Amazon Web Services Region.</p> <p>This operation has a call limit of 5 transactions per second (TPS) for each Amazon Web Services account. Exceeding 5 TPS results in a <code>LimitExceededException</code>.</p>

    Args:
        stream_filter: <p>Filters the results to channels associated with the specified streams.</p>
        max_results: <p>The maximum number of channels to return in a single call. The default value is 100. If you specify a value greater than 100, at most 100 results are returned.</p>
        next_token: <p>The pagination token returned by a previous call. Specify this token to retrieve the next page of results.</p>

    Raises:
        capo_kinesis.errors.access_denied_exception.AccessDeniedException: <p>Specifies that you do not have the permissions required to perform this operation.</p>
        capo_kinesis.errors.expired_next_token_exception.ExpiredNextTokenException: <p>The pagination token passed to the operation is expired.</p>
        capo_kinesis.errors.invalid_argument_exception.InvalidArgumentException: <p>A specified parameter exceeds its restrictions, is not supported, or can't be used. For more information, see the returned message.</p>
        capo_kinesis.errors.limit_exceeded_exception.LimitExceededException: <p>The requested resource exceeds the maximum number allowed, or the number of concurrent stream requests exceeds the maximum number allowed. </p>
        capo_kinesis.errors.validation_exception.ValidationException: <p>Specifies that you tried to invoke this API for a data stream with the on-demand capacity mode. This API is only supported for data streams with the provisioned capacity mode. </p>
        capo_kinesis.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To list channels

        >>> await client.list_channels()
        To list channels filtered by stream

        >>> await client.list_channels(stream_filter=[{'StreamARN': 'arn:aws:kinesis:us-east-1:123456789012:stream/my-stream-name'}], max_results=10)
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_kinesis.types.list_channels_input.ListChannelsInput]",
    ) -> AsyncOperationResponse[
        "capo_kinesis.types.list_channels_output.ListChannelsOutput"
    ]:
        import capo_kinesis._operations.kinesis_20131202.list_channels

        (
            output,
            http_response,
        ) = await capo_kinesis._operations.kinesis_20131202.list_channels.async_list_channels(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListChannels")
    )
    input_: capo_kinesis.types.list_channels_input.ListChannelsInput = {}
    if stream_filter is not None:
        input_["stream_filter"] = stream_filter
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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