list_experiment_templates ¶

def list_experiment_templates(
    self,
    *,
    config_overrides: Optional[fisClientConfig] = None,
    max_results: Optional[
        "capo_fis.types.list_experiment_templates_max_results.ListExperimentTemplatesMaxResults"
    ] = None,
    next_token: Optional["capo_fis.types.next_token.NextToken"] = None,
) -> "capo_fis.types.list_experiment_templates_response.ListExperimentTemplatesResponse":
    """<p>Lists your experiment templates.</p>

    Args:
        max_results: <p>The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned <code>nextToken</code> value.</p>
        next_token: <p>The token for the next page of results.</p>

    Raises:
        capo_fis.errors.validation_exception.ValidationException: <p>The specified input is not valid, or fails to satisfy the constraints for the request.</p>
        capo_fis.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_fis.types.list_experiment_templates_request.ListExperimentTemplatesRequest]",
    ) -> OperationResponse[
        "capo_fis.types.list_experiment_templates_response.ListExperimentTemplatesResponse"
    ]:
        import capo_fis._operations.fault_injection_simulator.list_experiment_templates

        output, http_response = (
            capo_fis._operations.fault_injection_simulator.list_experiment_templates.list_experiment_templates(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListExperimentTemplates")
    )
    input_: capo_fis.types.list_experiment_templates_request.ListExperimentTemplatesRequest = {}
    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