list_quotes ¶

def list_quotes(
    self,
    *,
    config_overrides: Optional[OutpostsClientConfig] = None,
    next_token: Optional["capo_outposts.types.token.Token"] = None,
    max_results: Optional[
        "capo_outposts.types.max_results1000.MaxResults1000"
    ] = None,
) -> "capo_outposts.types.list_quotes_output.ListQuotesOutput":
    """<p>Lists the quotes for your Amazon Web Services account.</p>

    Args:
        next_token: <p>The pagination token.</p>
        max_results: <p>The maximum page size.</p>

    Raises:
        capo_outposts.errors.access_denied_exception.AccessDeniedException: <p>You do not have permission to perform this operation.</p>
        capo_outposts.errors.internal_server_exception.InternalServerException: <p>An internal error has occurred.</p>
        capo_outposts.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_outposts.types.list_quotes_input.ListQuotesInput]",
    ) -> OperationResponse[
        "capo_outposts.types.list_quotes_output.ListQuotesOutput"
    ]:
        import capo_outposts._operations.outposts_olaf_service.list_quotes

        output, http_response = (
            capo_outposts._operations.outposts_olaf_service.list_quotes.list_quotes(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_outposts.types.list_quotes_output.ListQuotesOutput",
    ) -> dict[str, Any]:
        import capo_outposts.types.list_quotes_output

        return capo_outposts.types.list_quotes_output.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListQuotes", redact_output=_redact_output),
    )
    input_: capo_outposts.types.list_quotes_input.ListQuotesInput = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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