Feat: 优化错误提示与重试逻辑

packages/global/common/error/utils.ts

@@ -1,4 +1,5 @@
 import { replaceSensitiveText } from '../string/tools';
+import { ERROR_RESPONSE } from './errorCode';
 
 export const getErrText = (err: any, def = ''): any => {
   const msg: string =
@@ -12,6 +13,11 @@ export const getErrText = (err: any, def = ''): any => {
         err?.msg ||
         err?.error ||
         def;
+
+  if (ERROR_RESPONSE[msg]) {
+    return ERROR_RESPONSE[msg].message;
+  }
+
   // msg && console.log('error =>', msg);
   return replaceSensitiveText(msg);
 };

packages/web/i18n/en/dataset.json

@@ -166,6 +166,8 @@
   "request_headers": "Request headers, will automatically append 'Bearer '",
   "retain_collection": "Adjust Training Parameters",
   "retrain_task_submitted": "The retraining task has been submitted",
+  "retry_all": "Retry all",
+  "retry_failed": "Retry Failed",
   "rootDirectoryFormatError": "Root directory data format is incorrect",
   "rootdirectory": "/rootdirectory",
   "same_api_collection": "The same API set exists",

packages/web/i18n/zh-CN/dataset.json

@@ -166,6 +166,8 @@
   "request_headers": "请求头参数，会自动补充 Bearer",
   "retain_collection": "调整训练参数",
   "retrain_task_submitted": "重新训练任务已提交",
+  "retry_all": "全部重试",
+  "retry_failed": "重试失败",
   "rootDirectoryFormatError": "根目录数据格式不正确",
   "rootdirectory": "/根目录",
   "same_api_collection": "存在相同的 API 集合",

packages/web/i18n/zh-Hant/dataset.json

@@ -166,6 +166,8 @@
   "request_headers": "請求頭",
   "retain_collection": "調整訓練參數",
   "retrain_task_submitted": "重新訓練任務已提交",
+  "retry_all": "全部重試",
+  "retry_failed": "重試失敗",
   "rootDirectoryFormatError": "根目錄資料格式不正確",
   "rootdirectory": "/根目錄",
   "same_api_collection": "存在相同的 API 集合",

projects/app/src/pageComponents/dataset/detail/CollectionCard/TrainingStates.tsx

@@ -37,6 +37,9 @@ import { useScrollPagination } from '@fastgpt/web/hooks/useScrollPagination';
 import EmptyTip from '@fastgpt/web/components/common/EmptyTip';
 import MyImage from '@/components/MyImage';
 import FormLabel from '@fastgpt/web/components/common/MyBox/FormLabel';
+import { useToast } from '@fastgpt/web/hooks/useToast';
+import { getErrText } from '@fastgpt/global/common/error/utils';
+import React from 'react';
 
 enum TrainingStatus {
   NotStart = 'NotStart',
@@ -391,7 +394,7 @@ const ErrorView = ({
                 <Td>{item.chunkIndex + 1}</Td>
                 <Td>{TrainingText[item.mode]}</Td>
                 <Td maxW={50}>
-                  <MyTooltip label={item.errorMsg}>{item.errorMsg}</MyTooltip>
+                  <MyTooltip label={item.errorMsg}>{t(item.errorMsg)}</MyTooltip>
                 </Td>
                 <Td>
                   <Flex alignItems={'center'}>
@@ -514,6 +517,7 @@ const TrainingStates = ({
   onClose: () => void;
 }) => {
   const { t } = useTranslation();
+  const toast = useToast();
   const [tab, setTab] = useState<typeof defaultTab>(defaultTab);
 
   const {
@@ -526,6 +530,23 @@ const TrainingStates = ({
     manual: false
   });
 
+  // All retry logic
+  const { runAsync: handleRetryAll, loading: retrying } = useRequest2(
+    () => updateTrainingData({ datasetId, collectionId }),
+    {
+      manual: true,
+      onSuccess: () => {
+        refreshTrainingDetail();
+      },
+      onError: (e) => {
+        toast.toast({
+          status: 'error',
+          title: t('dataset:retry_failed')
+        });
+      }
+    }
+  );
+
   const errorCounts = (Object.values(trainingDetail?.errorCounts || {}) as number[]).reduce(
     (acc, count) => acc + count,
     0
@@ -541,21 +562,25 @@ const TrainingStates = ({
       isLoading={!trainingDetail && loading && tab === 'states'}
     >
       <ModalBody px={9} minH={['90vh', '500px']}>
-        <FillRowTabs
-          py={1}
-          mb={6}
-          value={tab}
-          onChange={(e) => setTab(e as 'states' | 'errors')}
-          list={[
-            { label: t('dataset:dataset.Training Process'), value: 'states' },
-            {
-              label: t('dataset:dataset.Training_Errors', {
-                count: errorCounts
-              }),
-              value: 'errors'
-            }
-          ]}
-        />
+        <Flex align="center" justify="space-between" mb={4}>
+          <FillRowTabs
+            py={1}
+            value={tab}
+            onChange={(e) => setTab(e as 'states' | 'errors')}
+            list={[
+              { label: t('dataset:dataset.Training Process'), value: 'states' },
+              {
+                label: t('dataset:dataset.Training_Errors', { count: errorCounts }),
+                value: 'errors'
+              }
+            ]}
+          />
+          {tab === 'errors' && errorCounts > 0 && (
+            <Button colorScheme="primary" size="sm" isLoading={retrying} onClick={handleRetryAll}>
+              {t('dataset:retry_all')}
+            </Button>
+          )}
+        </Flex>
         {tab === 'states' && trainingDetail && <ProgressView trainingDetail={trainingDetail} />}
         {tab === 'errors' && (
           <ErrorView

projects/app/src/pages/api/core/dataset/training/updateTrainingData.ts

@@ -8,7 +8,7 @@ import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
 export type updateTrainingDataBody = {
   datasetId: string;
   collectionId: string;
-  dataId?: string; // 改为可选，不传则重试所有错误数据
+  dataId?: string; // Change it to optional. If it is not passed, all error data will be retried.
   q?: string;
   a?: string;
   chunkIndex?: number;
@@ -31,7 +31,7 @@ async function handler(
     per: WritePermissionVal
   });
 
-  // 如果没有传 dataId，则重试该集合下的所有错误数据
+  // If dataId is not passed, all error data in this collection will be retried.
   if (!dataId) {
     await MongoDatasetTraining.updateMany(
       {
@@ -49,7 +49,7 @@ async function handler(
     return {};
   }
 
-  // 单个数据重试逻辑
+  // Single data retry logic
   const data = await MongoDatasetTraining.findOne({ teamId, datasetId, _id: dataId });
 
   if (!data) {