Fix: Add a no-data filter condition to MetaData (#12189)

### What problem does this PR solve?

Fix: Add a no-data filter condition to MetaData

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

web/src/locales/en.ts

@@ -176,6 +176,10 @@ Procedural Memory: Learned skills, habits, and automated procedures.`,
     },
     knowledgeDetails: {
       metadata: {
+        descriptionTip:
+          'Provide descriptions or examples to guide LLM extract values for this field. If left empty, it will rely on the field name.',
+        restrictTDefinedValuesTip:
+          'Enum Mode: Restricts LLM extraction to match preset values only. Define values below.',
         valueExists:
           'Value already exists. Confirm to merge duplicates and combine all associated files.',
         fieldNameExists:
@@ -205,7 +209,10 @@ Procedural Memory: Learned skills, habits, and automated procedures.`,
           'This field and all its corresponding values will be deleted from this files.',
         deleteManageValueSingleWarn:
           'This value will be deleted from this files.',
+        deleteSettingFieldWarn: `This field will be deleted; existing metadata won't be affected.`,
+        deleteSettingValueWarn: `This value will be deleted; existing metadata won't be affected.`,
       },
+      emptyMetadata: 'No metadata',
       metadataField: 'Metadata field',
       systemAttribute: 'System attribute',
       localUpload: 'Local upload',
@@ -349,9 +356,9 @@ Procedural Memory: Learned skills, habits, and automated procedures.`,
       html4excel: 'Excel to HTML',
       html4excelTip: `Use with the General chunking method. When disabled, spreadsheets (XLSX or XLS(Excel 97-2003)) in the knowledge base will be parsed into key-value pairs. When enabled, they will be parsed into HTML tables, splitting every 12 rows if the original table has more than 12 rows. See https://ragflow.io/docs/dev/enable_excel2html for details.`,
       autoKeywords: 'Auto-keyword',
-      autoKeywordsTip: `Automatically extract N keywords for each chunk to increase their ranking for queries containing those keywords. Be aware that extra tokens will be consumed by the chat model specified in 'System model settings'. You can check or update the added keywords for a chunk from the chunk list. For details, see https://ragflow.io/docs/dev/autokeyword_autoquestion.`,
+      autoKeywordsTip: `Automatically extract N keywords for each chunk to increase their ranking for queries containing those keywords. Be aware that extra tokens will be consumed by the indexing model specified in 'Configuration'. You can check or update the added keywords for a chunk from the chunk list. For details, see https://ragflow.io/docs/dev/autokeyword_autoquestion.`,
       autoQuestions: 'Auto-question',
-      autoQuestionsTip: `Automatically extract N questions for each chunk to increase their ranking for queries containing those questions. You can check or update the added questions for a chunk from the chunk list. This feature will not disrupt the chunking process if an error occurs, except that it may add an empty result to the original chunk. Be aware that extra tokens will be consumed by the LLM specified in 'System model settings'. For details, see https://ragflow.io/docs/dev/autokeyword_autoquestion.`,
+      autoQuestionsTip: `Automatically extract N questions for each chunk to increase their ranking for queries containing those questions. You can check or update the added questions for a chunk from the chunk list. This feature will not disrupt the chunking process if an error occurs, except that it may add an empty result to the original chunk. Be aware that extra tokens will be consumed by the indexing model specified in 'Configuration'. For details, see https://ragflow.io/docs/dev/autokeyword_autoquestion.`,
       redo: 'Do you want to clear the existing {{chunkNum}} chunks?',
       setMetaData: 'Set meta data',
       pleaseInputJson: 'Please enter JSON',

web/src/locales/zh.ts

@@ -168,6 +168,10 @@ export default {
     },
     knowledgeDetails: {
       metadata: {
+        descriptionTip:
+          '提供描述或示例来指导大语言模型为此字段提取值。如果留空，将依赖字段名称。',
+        restrictTDefinedValuesTip:
+          '枚举模式：限制大语言模型仅提取预设值。在下方定义值。',
         fieldSetting: '字段设置',
         changesAffectNewParses: '更改仅影响新解析。',
         editMetadataForDataset: '查看和编辑元数据于 ',
@@ -192,7 +196,10 @@ export default {
         deleteManageValueAllWarn: '此值将从所有关联的文件中删除。',
         deleteManageFieldSingleWarn: '此字段及其所有对应值将从此文件中删除。',
         deleteManageValueSingleWarn: '此值将从此文件中删除。',
+        deleteSettingFieldWarn: `此字段将被删除；现有元数据不会受到影响。`,
+        deleteSettingValueWarn: `此值将被删除；现有元数据不会受到影响。`,
       },
+      emptyMetadata: '无元数据',
       localUpload: '本地上传',
       fileSize: '文件大小',
       fileType: '文件类型',
@@ -321,9 +328,9 @@ export default {
       html4excel: '表格转HTML',
       html4excelTip: `与 General 切片方法配合使用。未开启状态下，表格文件（XLSX、XLS（Excel 97-2003））会按行解析为键值对。开启后，表格文件会被解析为 HTML 表格。若原始表格超过 12 行，系统会自动按每 12 行拆分为多个 HTML 表格。欲了解更多详情，请参阅 https://ragflow.io/docs/dev/enable_excel2html。`,
       autoKeywords: '自动关键词提取',
-      autoKeywordsTip: `自动为每个文本块中提取 N 个关键词，用以提升查询精度。请注意：该功能采用“系统模型设置”中设置的默认聊天模型提取关键词，因此也会产生更多 Token 消耗。另外，你也可以手动更新生成的关键词。详情请见 https://ragflow.io/docs/dev/autokeyword_autoquestion。`,
+      autoKeywordsTip: `自动为每个文本块中提取 N 个关键词，用以提升查询精度。请注意：该功能采用在“配置”中指定的索引模型提取关键词，因此也会产生更多 Token 消耗。另外，你也可以手动更新生成的关键词。详情请见 https://ragflow.io/docs/dev/autokeyword_autoquestion。`,
       autoQuestions: '自动问题提取',
-      autoQuestionsTip: `利用“系统模型设置”中设置的 chat model 对知识库的每个文本块提取 N 个问题以提高其排名得分。请注意，开启后将消耗额外的 token。您可以在块列表中查看、编辑结果。如果自动问题提取发生错误，不会妨碍整个分块过程，只会将空结果添加到原始文本块。详情请见 https://ragflow.io/docs/dev/autokeyword_autoquestion。`,
+      autoQuestionsTip: `利用在“配置”中指定的索引模型 对知识库的每个文本块提取 N 个问题以提高其排名得分。请注意，开启后将消耗额外的 token。您可以在块列表中查看、编辑结果。如果自动问题提取发生错误，不会妨碍整个分块过程，只会将空结果添加到原始文本块。详情请见 https://ragflow.io/docs/dev/autokeyword_autoquestion。`,
       redo: '是否清空已有 {{chunkNum}}个 chunk？',
       setMetaData: '设置元数据',
       pleaseInputJson: '请输入JSON',