* -------------------------------------------------------------------------
* This file is part of the MindStudio project.
* Copyright (c) 2025 Huawei Technologies Co.,Ltd.
*
* MindStudio is licensed under Mulan PSL v2.
* You can use this software according to the terms and conditions of the Mulan PSL v2.
* You may obtain a copy of Mulan PSL v2 at:
*
* http://license.coscl.org.cn/MulanPSL2
*
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
* See the Mulan PSL v2 for more details.
* -------------------------------------------------------------------------
*/
#include "SummaryErrorManager.h"
#include "StringUtil.h"
namespace Dic::Module::Summary {
static const std::string unknownError = "Unknown error code";
const std::map<ErrorCode, std::string> errorMessages = {
{ErrorCode::PARAMS_ERROR, "Request parameter exception"},
{ErrorCode::GET_ALGORITHM_FAILED, "Failed to get algorithm"},
{ErrorCode::GET_ALGORITHM_CONNECTIONS_FAILED,
"Failed to get connections. Parallel strategy configs have not been updated yet"},
{ErrorCode::GET_MASK_FAILED, "Failed to get mask for generate orthogonal rank groups. Unexpected order or token"},
{ErrorCode::GET_RANK_ID_FAILED, "Failed to get rank ids"},
{ErrorCode::GET_REAL_PATH_FAILED, "Failed to get real path"},
{ErrorCode::GET_PARSED_FILES_FAILED, "No parsable files found"},
{ErrorCode::GENERATE_ORTHOGONAL_FAILED, "Failed to generate orthogonal rank groups"},
{ErrorCode::CONNECT_DATABASE_FAILED, "Failed to connect to database"},
{ErrorCode::QUERY_COMPUTE_STATISTICS_FAILED, "Failed to query compute statistics data"},
{ErrorCode::QUERY_COMMUNICATION_STATISTICS_FAILED, "Failed to query communication statistics data"},
{ErrorCode::QUERY_PARALLEL_STATISTICS_FAILED, "Failed to query parallel strategy config"},
{ErrorCode::QUERY_PARALLELISM_PERFORMANCE_FAILED, "Failed to query parallelism performance info"},
{ErrorCode::QUERY_COMPUTE_DETAIL_FAILED, "Failed to query compute detail"},
{ErrorCode::QUERY_COMMUNICATION_DETAIL_FAILED, "Failed to query communication detail"},
{ErrorCode::UPDATE_PARALLEL_STRATEGY_FAILED, "Failed to update parallel strategy config"},
{ErrorCode::UPDATE_PARALLEL_SHOW_MAP_FAILED, "Failed to update show map for parallel view. Unexpected dimension"},
{ErrorCode::UPDATE_PARALLEL_VIEW_FAILED, "Failed to update parallel view"},
{ErrorCode::UPDATE_MODEL_INFO_MODIFY_FAILED,
"Failed to update model info, the number of expert number can't be modify"},
{ErrorCode::UPDATE_MODEL_INFO_NOT_EQUAL_FAILED,
"Failed to update model info, the sum of moe and dense layers is "
"less than the total number of layers in the model"},
{ErrorCode::MERGE_AND_SAVE_MODEL_INFO_FAILED, "Failed to merge and save model info"},
{ErrorCode::ADD_ALGORITHM_FAILED, "Failed to add algorithm to manager. Unexpected algorithm"},
{ErrorCode::CLEAR_EXPERT_HOTSPOT_FAILED, "Failed to clear old expert hotspot data"},
{ErrorCode::CLEAR_DEPLOYMENT_FAILED, "Failed to clear old expert deployment data"},
{ErrorCode::PARSER_MODEL_GEN_CONFIG_FILE_FAILED, "Failed to parser config file"},
{ErrorCode::PARSER_META_DATA_FILE_CONTEXT_FAILED, "Failed to parser meta data file context"},
{ErrorCode::READ_MODEL_GEN_CONFIG_FILE_FAILED, "Failed to read model gen config file"},
};
const std::string &GetErrorMessage(ErrorCode code) {
auto it = errorMessages.find(code);
if (it != errorMessages.end()) {
return it->second;
} else {
return unknownError;
}
}
void SetSummaryError(ErrorCode code, const std::string &extendedMessage) {
std::string message = extendedMessage.size() > 0 ? StringUtil::StrJoin(GetErrorMessage(code), ":", extendedMessage)
: GetErrorMessage(code);
ModuleRequestHandler::SetRequestContextError({.code = static_cast<int>(code), .message = message});
}
}
