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list_elasticsearch_versions async

list_elasticsearch_versions(
    *,
    config_overrides: Optional[AsyncElasticsearchServiceClientConfig] = None,
    max_results: Optional[MaxResults] = None,
    next_token: Optional[NextToken] = None,
) -> ListElasticsearchVersionsResponse

List all supported Elasticsearch versions

Parameters:

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

    Set this value to limit the number of results returned. Value provided must be greater than 10 else it wont be honored.

Raises:

  • BaseException –

    An error occurred while processing the request.

  • InternalException –

    The request processing has failed because of an unknown error, exception or failure (the failure is internal to the service) . Gives http status code of 500.

  • ResourceNotFoundException –

    An exception for accessing or deleting a resource that does not exist. Gives http status code of 400.

  • ValidationException –

    An exception for missing / invalid input fields. Gives http status code of 400.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_elasticsearch_service/_services/async_elasticsearch_service.py
async def list_elasticsearch_versions(
    self,
    *,
    config_overrides: Optional[AsyncElasticsearchServiceClientConfig] = None,
    max_results: Optional[
        "capo_elasticsearch_service.types.max_results.MaxResults"
    ] = None,
    next_token: Optional[
        "capo_elasticsearch_service.types.next_token.NextToken"
    ] = None,
) -> "capo_elasticsearch_service.types.list_elasticsearch_versions_response.ListElasticsearchVersionsResponse":
    """<p>List all supported Elasticsearch versions</p>

    Args:
        max_results: <p> Set this value to limit the number of results returned. Value provided must be greater than 10 else it wont be honored. </p>

    Raises:
        capo_elasticsearch_service.errors.base_exception.BaseException: <p>An error occurred while processing the request.</p>
        capo_elasticsearch_service.errors.internal_exception.InternalException: <p>The request processing has failed because of an unknown error, exception or failure (the failure is internal to the service) . Gives http status code of 500.</p>
        capo_elasticsearch_service.errors.resource_not_found_exception.ResourceNotFoundException: <p>An exception for accessing or deleting a resource that does not exist. Gives http status code of 400.</p>
        capo_elasticsearch_service.errors.validation_exception.ValidationException: <p>An exception for missing / invalid input fields. Gives http status code of 400.</p>
        capo_elasticsearch_service.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_elasticsearch_service.types.list_elasticsearch_versions_request.ListElasticsearchVersionsRequest]",
    ) -> AsyncOperationResponse[
        "capo_elasticsearch_service.types.list_elasticsearch_versions_response.ListElasticsearchVersionsResponse"
    ]:
        import capo_elasticsearch_service._operations.amazon_elasticsearch_service2015.list_elasticsearch_versions

        (
            output,
            http_response,
        ) = await capo_elasticsearch_service._operations.amazon_elasticsearch_service2015.list_elasticsearch_versions.async_list_elasticsearch_versions(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListElasticsearchVersions")
    )
    input_: capo_elasticsearch_service.types.list_elasticsearch_versions_request.ListElasticsearchVersionsRequest = {}
    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