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refactor(i18n): use JSON with flattened key and namespace (#30114)
Co-authored-by: yyh <yuanyouhuilyz@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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@ -46,31 +46,31 @@ type Props = {
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batchId: string
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documents?: FullDocumentDetail[]
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indexingType?: string
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retrievalMethod?: string
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retrievalMethod?: RETRIEVE_METHOD
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}
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const RuleDetail: FC<{
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sourceData?: ProcessRuleResponse
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indexingType?: string
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retrievalMethod?: string
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retrievalMethod?: RETRIEVE_METHOD
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}> = ({ sourceData, indexingType, retrievalMethod }) => {
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const { t } = useTranslation()
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const segmentationRuleMap = {
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mode: t('datasetDocuments.embedding.mode'),
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segmentLength: t('datasetDocuments.embedding.segmentLength'),
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textCleaning: t('datasetDocuments.embedding.textCleaning'),
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mode: t('embedding.mode', { ns: 'datasetDocuments' }),
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segmentLength: t('embedding.segmentLength', { ns: 'datasetDocuments' }),
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textCleaning: t('embedding.textCleaning', { ns: 'datasetDocuments' }),
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}
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const getRuleName = (key: string) => {
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if (key === 'remove_extra_spaces')
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return t('datasetCreation.stepTwo.removeExtraSpaces')
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return t('stepTwo.removeExtraSpaces', { ns: 'datasetCreation' })
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if (key === 'remove_urls_emails')
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return t('datasetCreation.stepTwo.removeUrlEmails')
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return t('stepTwo.removeUrlEmails', { ns: 'datasetCreation' })
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if (key === 'remove_stopwords')
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return t('datasetCreation.stepTwo.removeStopwords')
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return t('stepTwo.removeStopwords', { ns: 'datasetCreation' })
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}
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const isNumber = (value: unknown) => {
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@ -90,17 +90,17 @@ const RuleDetail: FC<{
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value = !sourceData?.mode
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? value
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: sourceData.mode === ProcessMode.general
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? (t('datasetDocuments.embedding.custom') as string)
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: `${t('datasetDocuments.embedding.hierarchical')} · ${sourceData?.rules?.parent_mode === 'paragraph'
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? t('dataset.parentMode.paragraph')
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: t('dataset.parentMode.fullDoc')}`
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? (t('embedding.custom', { ns: 'datasetDocuments' }) as string)
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: `${t('embedding.hierarchical', { ns: 'datasetDocuments' })} · ${sourceData?.rules?.parent_mode === 'paragraph'
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? t('parentMode.paragraph', { ns: 'dataset' })
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: t('parentMode.fullDoc', { ns: 'dataset' })}`
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break
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case 'segmentLength':
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value = !sourceData?.mode
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? value
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: sourceData.mode === ProcessMode.general
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? maxTokens
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: `${t('datasetDocuments.embedding.parentMaxTokens')} ${maxTokens}; ${t('datasetDocuments.embedding.childMaxTokens')} ${childMaxTokens}`
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: `${t('embedding.parentMaxTokens', { ns: 'datasetDocuments' })} ${maxTokens}; ${t('embedding.childMaxTokens', { ns: 'datasetDocuments' })} ${childMaxTokens}`
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break
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default:
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value = !sourceData?.mode
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@ -124,8 +124,8 @@ const RuleDetail: FC<{
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)
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})}
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<FieldInfo
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label={t('datasetCreation.stepTwo.indexMode')}
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displayedValue={t(`datasetCreation.stepTwo.${indexingType === IndexingType.ECONOMICAL ? 'economical' : 'qualified'}`) as string}
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label={t('stepTwo.indexMode', { ns: 'datasetCreation' })}
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displayedValue={t(`stepTwo.${indexingType === IndexingType.ECONOMICAL ? 'economical' : 'qualified'}`, { ns: 'datasetCreation' }) as string}
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valueIcon={(
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<Image
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className="size-4"
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@ -139,9 +139,9 @@ const RuleDetail: FC<{
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)}
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/>
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<FieldInfo
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label={t('datasetSettings.form.retrievalSetting.title')}
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label={t('form.retrievalSetting.title', { ns: 'datasetSettings' })}
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// displayedValue={t(`datasetSettings.form.retrievalSetting.${retrievalMethod}`) as string}
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displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'keyword_search' : retrievalMethod}.title` as any) as string}
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displayedValue={t(`retrieval.${indexingType === IndexingType.ECONOMICAL ? 'keyword_search' : retrievalMethod ?? 'semantic_search'}.title`, { ns: 'dataset' })}
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valueIcon={(
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<Image
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className="size-4"
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@ -267,10 +267,10 @@ const EmbeddingProcess: FC<Props> = ({ datasetId, batchId, documents = [], index
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{isEmbedding && (
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<>
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<RiLoader2Fill className="size-4 animate-spin" />
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<span>{t('datasetDocuments.embedding.processing')}</span>
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<span>{t('embedding.processing', { ns: 'datasetDocuments' })}</span>
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</>
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)}
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{isEmbeddingCompleted && t('datasetDocuments.embedding.completed')}
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{isEmbeddingCompleted && t('embedding.completed', { ns: 'datasetDocuments' })}
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</div>
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{
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enableBilling && plan.type !== Plan.team && (
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@ -279,7 +279,7 @@ const EmbeddingProcess: FC<Props> = ({ datasetId, batchId, documents = [], index
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<ZapFast className="h-4 w-4 text-[#FB6514]" />
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</div>
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<div className="mx-3 grow text-[13px] font-medium text-gray-700">
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{t('billing.plansCommon.documentProcessingPriorityUpgrade')}
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{t('plansCommon.documentProcessingPriorityUpgrade', { ns: 'billing' })}
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</div>
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<UpgradeBtn loc="knowledge-speed-up" />
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</div>
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@ -372,7 +372,7 @@ const EmbeddingProcess: FC<Props> = ({ datasetId, batchId, documents = [], index
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variant="primary"
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onClick={navToDocumentList}
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>
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<span className="px-0.5">{t('datasetCreation.stepThree.navTo')}</span>
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<span className="px-0.5">{t('stepThree.navTo', { ns: 'datasetCreation' })}</span>
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<RiArrowRightLine className="size-4 stroke-current stroke-1" />
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</Button>
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</div>
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