list_analysis_log_exports async ¶

async def list_analysis_log_exports(
    self,
    membership_identifier: "capo_cleanrooms.types.membership_identifier.MembershipIdentifier",
    *,
    config_overrides: Optional[AsyncCleanRoomsClientConfig] = None,
    analysis_identifier: Optional["capo_cleanrooms.types.uuid.UUID"] = None,
    status: Optional[
        "capo_cleanrooms.types.analysis_log_export_status.AnalysisLogExportStatus"
    ] = None,
    next_token: Optional[
        "capo_cleanrooms.types.pagination_token.PaginationToken"
    ] = None,
    max_results: Optional["capo_cleanrooms.types.max_results.MaxResults"] = None,
) -> "capo_cleanrooms.types.list_analysis_log_exports_output.ListAnalysisLogExportsOutput":
    """<p>Lists analysis log exports, sorted by the most recent export. Results are paginated. Use the <code>nextToken</code> parameter to retrieve additional results.</p>

    Args:
        membership_identifier: <p>A unique identifier for the membership to list analysis log exports for. Currently accepts the membership ID.</p>
        analysis_identifier: <p>A filter on the unique identifier of the protected query that the analysis logs were exported for.</p>
        status: <p>A filter on the status of the analysis log export.</p>
        next_token: <p>The pagination token that's used to fetch the next set of results.</p>
        max_results: <p>The maximum number of results that are returned for an API request call. The service chooses a default number if you don't set one. The service might return a <code>nextToken</code> even if the <code>maxResults</code> value has not been met.</p>

    Raises:
        capo_cleanrooms.errors.access_denied_exception.AccessDeniedException: <p>Caller does not have sufficient access to perform this action.</p>
        capo_cleanrooms.errors.internal_server_exception.InternalServerException: <p>Unexpected error during processing of request.</p>
        capo_cleanrooms.errors.resource_not_found_exception.ResourceNotFoundException: <p>Request references a resource which does not exist.</p>
        capo_cleanrooms.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
        capo_cleanrooms.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints.</p>
        capo_cleanrooms.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_cleanrooms.types.list_analysis_log_exports_input.ListAnalysisLogExportsInput]",
    ) -> AsyncOperationResponse[
        "capo_cleanrooms.types.list_analysis_log_exports_output.ListAnalysisLogExportsOutput"
    ]:
        import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_analysis_log_exports

        (
            output,
            http_response,
        ) = await capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_analysis_log_exports.async_list_analysis_log_exports(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListAnalysisLogExports")
    )
    input_: capo_cleanrooms.types.list_analysis_log_exports_input.ListAnalysisLogExportsInput = {
        "membership_identifier": membership_identifier
    }
    if analysis_identifier is not None:
        input_["analysis_identifier"] = analysis_identifier
    if status is not None:
        input_["status"] = status
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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