Fix: Added some prompts and polling functionality to retrieve data source logs. #10703 (#11103)

### What problem does this PR solve?

Fix: Added some prompts and polling functionality to retrieve data
source logs.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
This commit is contained in:
chanx
2025-11-07 14:28:45 +08:00
committed by GitHub
parent b137de1def
commit edbc396bc6
13 changed files with 155 additions and 95 deletions

View File

@ -274,6 +274,10 @@ export default {
reRankModelWaring: 'Re-rank model is very time consuming.',
},
knowledgeConfiguration: {
rebuildTip:
'Re-downloads files from the linked data source and parses them again.',
baseInfo: 'Basic Info',
gobalIndex: 'Global Index',
dataSource: 'Data Source',
linkSourceSetTip: 'Manage data source linkage with this dataset',
linkDataSource: 'Link Data Source',
@ -304,7 +308,7 @@ export default {
dataFlowPlaceholder: 'Please select a pipeline.',
buildItFromScratch: 'Build it from scratch',
dataFlow: 'Pipeline',
parseType: 'Ingestion pipeline',
parseType: 'Parse Type',
manualSetup: 'Choose pipeline',
builtIn: 'Built-in',
titleDescription:
@ -692,6 +696,8 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
newDocs: 'New Docs',
timeStarted: 'Time started',
log: 'Log',
confluenceDescription:
'Integrate your Confluence workspace to search documentation.',
s3Description:
'Connect to your AWS S3 bucket to import and sync stored files.',
discordDescription:

View File

@ -260,6 +260,9 @@ export default {
theDocumentBeingParsedCannotBeDeleted: '正在解析的文档不能被删除',
},
knowledgeConfiguration: {
rebuildTip: '从所有已关联的数据源重新下载文件并再次解析。',
baseInfo: '基础信息',
gobalIndex: '全局索引',
dataSource: '数据源',
linkSourceSetTip: '管理与此数据集的数据源链接',
linkDataSource: '链接数据源',
@ -282,14 +285,14 @@ export default {
eidtLinkDataPipeline: '编辑pipeline',
linkPipelineSetTip: '管理与此数据集的数据管道链接',
default: '默认',
dataPipeline: 'pipeline',
dataPipeline: 'Ingestion pipeline',
linkDataPipeline: '关联pipeline',
enableAutoGenerate: '是否启用自动生成',
teamPlaceholder: '请选择团队',
dataFlowPlaceholder: '请选择pipeline',
buildItFromScratch: '去Scratch构建',
dataFlow: 'pipeline',
parseType: 'Ingestion pipeline',
parseType: '解析方法',
manualSetup: '选择pipeline',
builtIn: '内置',
titleDescription: '在这里更新您的知识库详细信息,尤其是切片方法。',
@ -683,6 +686,7 @@ General实体和关系提取提示来自 GitHub - microsoft/graphrag基于
newDocs: '新文档',
timeStarted: '开始时间',
log: '日志',
confluenceDescription: '连接你的 Confluence 工作区以搜索文档内容。',
s3Description: ' 连接你的 AWS S3 存储桶以导入和同步文件。',
discordDescription: ' 连接你的 Discord 服务器以访问和分析聊天数据。',
notionDescription: ' 同步 Notion 页面与数据库,用于知识检索。',