describe_slack_workspaces ¶

def describe_slack_workspaces(
    self,
    *,
    config_overrides: Optional[chatbotClientConfig] = None,
    max_results: Optional["capo_chatbot.types.max_results.MaxResults"] = None,
    next_token: Optional[
        "capo_chatbot.types.pagination_token.PaginationToken"
    ] = None,
) -> "capo_chatbot.types.describe_slack_workspaces_result.DescribeSlackWorkspacesResult":
    """<p>List all authorized Slack workspaces connected to the AWS Account onboarded with AWS Chatbot.</p>

    Args:
        max_results: <p>The maximum number of results to include in the response. If more results exist than the specified MaxResults value, a token is included in the response so that the remaining results can be retrieved. </p>
        next_token: <p> An optional token returned from a prior request. Use this token for pagination of results from this action. If this parameter is specified, the response includes only results beyond the token, up to the value specified by MaxResults. </p>

    Raises:
        capo_chatbot.errors.describe_slack_workspaces_exception.DescribeSlackWorkspacesException: <p>We can’t process your request right now because of a server issue. Try again later.</p>
        capo_chatbot.errors.invalid_parameter_exception.InvalidParameterException: <p>Your request input doesn't meet the constraints required by AWS Chatbot.</p>
        capo_chatbot.errors.invalid_request_exception.InvalidRequestException: <p>Your request input doesn't meet the constraints required by AWS Chatbot.</p>
        capo_chatbot.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_chatbot.types.describe_slack_workspaces_request.DescribeSlackWorkspacesRequest]",
    ) -> OperationResponse[
        "capo_chatbot.types.describe_slack_workspaces_result.DescribeSlackWorkspacesResult"
    ]:
        import capo_chatbot._operations.wheatley_orchestration_20171011.describe_slack_workspaces

        output, http_response = (
            capo_chatbot._operations.wheatley_orchestration_20171011.describe_slack_workspaces.describe_slack_workspaces(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeSlackWorkspaces")
    )
    input_: capo_chatbot.types.describe_slack_workspaces_request.DescribeSlackWorkspacesRequest = {}
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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