mirror of
https://git.mirrors.martin98.com/https://github.com/langgenius/dify.git
synced 2025-08-08 20:19:03 +08:00
feat: enhance document processing with embedding and rule detail components
This commit is contained in:
twwu
parent
5fb771218c
commit
87c15062e6
@ -23,7 +23,7 @@ import WebsitePreview from './preview/web-preview'
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import ProcessDocuments from './process-documents'
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import ChunkPreview from './preview/chunk-preview'
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import Processing from './processing'
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import type { PublishedPipelineRunPreviewResponse } from '@/models/pipeline'
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import type { InitialDocumentDetail, PublishedPipelineRunPreviewResponse, PublishedPipelineRunResponse } from '@/models/pipeline'
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import { DatasourceType } from '@/models/pipeline'
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import { TransferMethod } from '@/types/app'
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import { useAddDocumentsSteps, useLocalFile, useNotionsPages, useWebsiteCrawl } from './hooks'
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@ -38,6 +38,8 @@ const CreateFormPipeline = () => {
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const retrievalMethod = useDatasetDetailContextWithSelector(s => s.dataset?.retrieval_model_dict.search_method)
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const [datasource, setDatasource] = useState<Datasource>()
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const [estimateData, setEstimateData] = useState<FileIndexingEstimateResponse | undefined>(undefined)
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const [batchId, setBatchId] = useState('')
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const [documents, setDocuments] = useState<InitialDocumentDetail[]>([])
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const isPreview = useRef(false)
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const formRef = useRef<any>(null)
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@ -189,7 +191,8 @@ const CreateFormPipeline = () => {
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is_preview: false,
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}, {
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onSuccess: (res) => {
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console.log('🚀 ~ handleProcess ~ res:', res)
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setBatchId((res as PublishedPipelineRunResponse).batch || '')
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setDocuments((res as PublishedPipelineRunResponse).documents || [])
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handleNextStep()
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},
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})
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@ -306,8 +309,8 @@ const CreateFormPipeline = () => {
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currentStep === 3 && (
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<Processing
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datasetId={datasetId!}
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batchId={''}
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documents={[]}
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batchId={batchId}
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documents={documents}
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indexingType={indexingType!}
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retrievalMethod={retrievalMethod!}
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/>
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@ -0,0 +1,247 @@
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import React, { useEffect, useMemo, useRef, useState } from 'react'
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import useSWR from 'swr'
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import { useRouter } from 'next/navigation'
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import { useTranslation } from 'react-i18next'
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import { omit } from 'lodash-es'
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import { ArrowRightIcon } from '@heroicons/react/24/solid'
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import {
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RiCheckboxCircleFill,
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RiErrorWarningFill,
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RiLoader2Fill,
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RiTerminalBoxLine,
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} from '@remixicon/react'
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import cn from '@/utils/classnames'
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import Button from '@/app/components/base/button'
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import type { IndexingStatusResponse } from '@/models/datasets'
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import { fetchIndexingStatusBatch as doFetchIndexingStatus, fetchProcessRule } from '@/service/datasets'
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import NotionIcon from '@/app/components/base/notion-icon'
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import PriorityLabel from '@/app/components/billing/priority-label'
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import { Plan } from '@/app/components/billing/type'
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import { ZapFast } from '@/app/components/base/icons/src/vender/solid/general'
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import UpgradeBtn from '@/app/components/billing/upgrade-btn'
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import { useProviderContext } from '@/context/provider-context'
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import { sleep } from '@/utils'
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import Tooltip from '@/app/components/base/tooltip'
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import { useInvalidDocumentList } from '@/service/knowledge/use-document'
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import DocumentFileIcon from '@/app/components/datasets/common/document-file-icon'
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import RuleDetail from './rule-detail'
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import type { IndexingType } from '@/app/components/datasets/create/step-two'
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import type { RETRIEVE_METHOD } from '@/types/app'
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import { DatasourceType, type InitialDocumentDetail } from '@/models/pipeline'
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type EmbeddingProcessProps = {
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datasetId: string
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batchId: string
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documents?: InitialDocumentDetail[]
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indexingType?: IndexingType
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retrievalMethod?: RETRIEVE_METHOD
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}
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const EmbeddingProcess = ({
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datasetId,
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batchId,
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documents = [],
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indexingType,
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retrievalMethod,
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}: EmbeddingProcessProps) => {
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const { t } = useTranslation()
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const { enableBilling, plan } = useProviderContext()
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const firstDocument = documents[0]
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const [indexingStatusBatchDetail, setIndexingStatusDetail] = useState<IndexingStatusResponse[]>([])
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const fetchIndexingStatus = async () => {
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const status = await doFetchIndexingStatus({ datasetId, batchId })
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setIndexingStatusDetail(status.data)
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return status.data
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}
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const [isStopQuery, setIsStopQuery] = useState(false)
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const isStopQueryRef = useRef(isStopQuery)
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useEffect(() => {
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isStopQueryRef.current = isStopQuery
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}, [isStopQuery])
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const stopQueryStatus = () => {
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setIsStopQuery(true)
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}
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const startQueryStatus = async () => {
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if (isStopQueryRef.current)
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return
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try {
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const indexingStatusBatchDetail = await fetchIndexingStatus()
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const isCompleted = indexingStatusBatchDetail.every(indexingStatusDetail => ['completed', 'error', 'paused'].includes(indexingStatusDetail.indexing_status))
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if (isCompleted) {
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stopQueryStatus()
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return
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}
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await sleep(2500)
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await startQueryStatus()
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}
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catch {
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await sleep(2500)
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await startQueryStatus()
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}
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}
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useEffect(() => {
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setIsStopQuery(false)
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startQueryStatus()
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return () => {
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stopQueryStatus()
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}
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// eslint-disable-next-line react-hooks/exhaustive-deps
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}, [])
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// get rule
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const { data: ruleDetail } = useSWR({
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action: 'fetchProcessRule',
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params: { documentId: firstDocument.id },
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}, apiParams => fetchProcessRule(omit(apiParams, 'action')), {
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revalidateOnFocus: false,
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})
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const router = useRouter()
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const invalidDocumentList = useInvalidDocumentList()
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const navToDocumentList = () => {
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invalidDocumentList()
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router.push(`/datasets/${datasetId}/documents`)
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}
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const navToApiDocs = () => {
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router.push('/datasets?category=api')
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}
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const isEmbedding = useMemo(() => {
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return indexingStatusBatchDetail.some(indexingStatusDetail => ['indexing', 'splitting', 'parsing', 'cleaning'].includes(indexingStatusDetail?.indexing_status || ''))
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}, [indexingStatusBatchDetail])
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const isEmbeddingCompleted = useMemo(() => {
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return indexingStatusBatchDetail.every(indexingStatusDetail => ['completed', 'error', 'paused'].includes(indexingStatusDetail?.indexing_status || ''))
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}, [indexingStatusBatchDetail])
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const getSourceName = (id: string) => {
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const doc = documents.find(document => document.id === id)
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return doc?.name
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}
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const getFileType = (name?: string) => name?.split('.').pop() || 'txt'
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const getSourcePercent = (detail: IndexingStatusResponse) => {
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const completedCount = detail.completed_segments || 0
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const totalCount = detail.total_segments || 0
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if (totalCount === 0)
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return 0
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const percent = Math.round(completedCount * 100 / totalCount)
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return percent > 100 ? 100 : percent
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}
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const getSourceType = (id: string) => {
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const doc = documents.find(document => document.id === id)
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return doc?.data_source_type
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}
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const getIcon = (id: string) => {
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const doc = documents.find(document => document.id === id)
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return doc?.data_source_info.notion_page_icon
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}
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const isSourceEmbedding = (detail: IndexingStatusResponse) =>
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['indexing', 'splitting', 'parsing', 'cleaning', 'waiting'].includes(detail.indexing_status || '')
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return (
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<>
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<div className='mb-3 flex h-5 items-center'>
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<div className='mr-2 flex items-center justify-between text-sm font-medium text-text-secondary'>
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{isEmbedding && <div className='flex items-center'>
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<RiLoader2Fill className='mr-1 size-4 animate-spin text-text-secondary' />
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{t('datasetDocuments.embedding.processing')}
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</div>}
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{isEmbeddingCompleted && t('datasetDocuments.embedding.completed')}
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</div>
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</div>
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{
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enableBilling && plan.type !== Plan.team && (
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<div className='mb-3 flex h-14 items-center rounded-xl border-[0.5px] border-black/5 bg-white p-3 shadow-md'>
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<div className='flex h-8 w-8 shrink-0 items-center justify-center rounded-lg bg-[#FFF6ED]'>
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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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</div>
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<UpgradeBtn loc='knowledge-speed-up' />
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</div>
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)
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}
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<div className='flex flex-col gap-0.5 pb-2'>
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{indexingStatusBatchDetail.map(indexingStatusDetail => (
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<div key={indexingStatusDetail.id} className={cn(
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'relative h-[26px] overflow-hidden rounded-md bg-components-progress-bar-bg',
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indexingStatusDetail.indexing_status === 'error' && 'bg-state-destructive-hover-alt',
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)}>
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{isSourceEmbedding(indexingStatusDetail) && (
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<div className='absolute left-0 top-0 h-full min-w-0.5 border-r-[2px] border-r-components-progress-bar-progress-highlight bg-components-progress-bar-progress' style={{ width: `${getSourcePercent(indexingStatusDetail)}%` }} />
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)}
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<div className='z-[1] flex h-full items-center gap-1 pl-[6px] pr-2'>
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{getSourceType(indexingStatusDetail.id) === DatasourceType.localFile && (
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<DocumentFileIcon
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className='size-4 shrink-0'
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name={getSourceName(indexingStatusDetail.id)}
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extension={getFileType(getSourceName(indexingStatusDetail.id))}
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/>
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)}
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{getSourceType(indexingStatusDetail.id) === DatasourceType.onlineDocument && (
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<NotionIcon
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className='shrink-0'
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type='page'
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src={getIcon(indexingStatusDetail.id)}
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/>
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)}
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<div className='flex w-0 grow items-center gap-1' title={getSourceName(indexingStatusDetail.id)}>
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<div className='system-xs-medium truncate text-text-secondary'>
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{getSourceName(indexingStatusDetail.id)}
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</div>
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{
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enableBilling && (
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<PriorityLabel className='ml-0' />
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)
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}
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</div>
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{isSourceEmbedding(indexingStatusDetail) && (
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<div className='shrink-0 text-xs text-text-secondary'>{`${getSourcePercent(indexingStatusDetail)}%`}</div>
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)}
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{indexingStatusDetail.indexing_status === 'error' && (
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<Tooltip
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popupClassName='px-4 py-[14px] max-w-60 text-sm leading-4 text-text-secondary border-[0.5px] border-components-panel-border rounded-xl'
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offset={4}
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popupContent={indexingStatusDetail.error}
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>
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<span>
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<RiErrorWarningFill className='size-4 shrink-0 text-text-destructive' />
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</span>
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</Tooltip>
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)}
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{indexingStatusDetail.indexing_status === 'completed' && (
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<RiCheckboxCircleFill className='size-4 shrink-0 text-text-success' />
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)}
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</div>
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</div>
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))}
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</div>
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<hr className='my-3 h-[1px] border-0 bg-divider-subtle' />
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<RuleDetail
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sourceData={ruleDetail}
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indexingType={indexingType}
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retrievalMethod={retrievalMethod}
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/>
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<div className='my-10 flex items-center gap-2'>
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<Button className='w-fit' onClick={navToApiDocs}>
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<RiTerminalBoxLine className='mr-2 size-4' />
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<span>Access the API</span>
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</Button>
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<Button className='w-fit' variant='primary' onClick={navToDocumentList}>
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<span>{t('datasetCreation.stepThree.navTo')}</span>
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<ArrowRightIcon className='ml-2 size-4 stroke-current stroke-1' />
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</Button>
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</div>
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</>
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)
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}
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export default EmbeddingProcess
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@ -0,0 +1,128 @@
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import React, { useCallback } from 'react'
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import { IndexingType } from '@/app/components/datasets/create/step-two'
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import { ProcessMode, type ProcessRuleResponse } from '@/models/datasets'
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import { RETRIEVE_METHOD } from '@/types/app'
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import { useTranslation } from 'react-i18next'
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import { FieldInfo } from '@/app/components/datasets/documents/detail/metadata'
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import Image from 'next/image'
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import { indexMethodIcon, retrievalIcon } from '@/app/components/datasets/create/icons'
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type RuleDetailProps = {
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sourceData?: ProcessRuleResponse
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indexingType?: IndexingType
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retrievalMethod?: RETRIEVE_METHOD
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}
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const RuleDetail = ({
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sourceData,
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indexingType,
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retrievalMethod,
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}: RuleDetailProps) => {
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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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}
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const getRuleName = useCallback((key: string) => {
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if (key === 'remove_extra_spaces')
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return t('datasetCreation.stepTwo.removeExtraSpaces')
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if (key === 'remove_urls_emails')
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return t('datasetCreation.stepTwo.removeUrlEmails')
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if (key === 'remove_stopwords')
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return t('datasetCreation.stepTwo.removeStopwords')
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}, [t])
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const isNumber = useCallback((value: unknown) => {
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return typeof value === 'number'
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}, [])
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const getValue = useCallback((field: string) => {
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let value: string | number | undefined = '-'
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const maxTokens = isNumber(sourceData?.rules?.segmentation?.max_tokens)
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? sourceData.rules.segmentation.max_tokens
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: value
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const childMaxTokens = isNumber(sourceData?.rules?.subchunk_segmentation?.max_tokens)
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? sourceData.rules.subchunk_segmentation.max_tokens
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: value
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switch (field) {
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case 'mode':
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value = !sourceData?.mode
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? value
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// eslint-disable-next-line sonarjs/no-nested-conditional
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: sourceData.mode === ProcessMode.general
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? (t('datasetDocuments.embedding.custom') as string)
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// eslint-disable-next-line sonarjs/no-nested-conditional
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: `${t('datasetDocuments.embedding.hierarchical')} · ${sourceData?.rules?.parent_mode === 'paragraph'
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? t('dataset.parentMode.paragraph')
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: t('dataset.parentMode.fullDoc')}`
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break
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case 'segmentLength':
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value = !sourceData?.mode
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? value
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// eslint-disable-next-line sonarjs/no-nested-conditional
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: sourceData.mode === ProcessMode.general
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? maxTokens
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: `${t('datasetDocuments.embedding.parentMaxTokens')} ${maxTokens}; ${t('datasetDocuments.embedding.childMaxTokens')} ${childMaxTokens}`
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break
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default:
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value = !sourceData?.mode
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? value
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: sourceData?.rules?.pre_processing_rules?.filter(rule =>
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rule.enabled).map(rule => getRuleName(rule.id)).join(',')
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break
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}
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return value
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}, [getRuleName, isNumber, sourceData, t])
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return (
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<div className='flex flex-col gap-1'>
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{Object.keys(segmentationRuleMap).map((field) => {
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return <FieldInfo
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key={field}
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label={segmentationRuleMap[field as keyof typeof segmentationRuleMap]}
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displayedValue={String(getValue(field))}
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/>
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})}
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<FieldInfo
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label={t('datasetCreation.stepTwo.indexMode')}
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displayedValue={t(`datasetCreation.stepTwo.${indexingType === IndexingType.ECONOMICAL ? 'economical' : 'qualified'}`) as string}
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valueIcon={
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<Image
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className='size-4'
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src={
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indexingType === IndexingType.ECONOMICAL
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? indexMethodIcon.economical
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: indexMethodIcon.high_quality
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}
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alt=''
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/>
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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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displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'invertedIndex' : retrievalMethod}.title`) as string}
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valueIcon={
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<Image
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className='size-4'
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src={
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retrievalMethod === RETRIEVE_METHOD.fullText
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? retrievalIcon.fullText
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// eslint-disable-next-line sonarjs/no-nested-conditional
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: retrievalMethod === RETRIEVE_METHOD.hybrid
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? retrievalIcon.hybrid
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: retrievalIcon.vector
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}
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alt=''
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/>
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}
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/>
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</div>
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)
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}
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export default React.memo(RuleDetail)
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@ -2,14 +2,16 @@
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import React from 'react'
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import { useTranslation } from 'react-i18next'
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import { RiBookOpenLine } from '@remixicon/react'
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import type { FullDocumentDetail, InitialDocumentDetail } from '@/models/datasets'
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import EmbeddingProcess from '../../../create/embedding-process'
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import { useGetDocLanguage } from '@/context/i18n'
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import EmbeddingProcess from './embedding-process'
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import type { IndexingType } from '../../../create/step-two'
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import type { RETRIEVE_METHOD } from '@/types/app'
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import type { InitialDocumentDetail } from '@/models/pipeline'
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type ProcessingProps = {
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datasetId: string
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indexingType: string
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retrievalMethod: string
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indexingType: IndexingType
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retrievalMethod: RETRIEVE_METHOD
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batchId: string
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documents: InitialDocumentDetail[]
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}
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@ -30,8 +32,8 @@ const Processing = ({
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<div className='max-w-[640px]'>
|
||||
<EmbeddingProcess
|
||||
datasetId={datasetId}
|
||||
batchId={batchId || ''}
|
||||
documents={documents as FullDocumentDetail[]}
|
||||
batchId={batchId}
|
||||
documents={documents}
|
||||
indexingType={indexingType}
|
||||
retrievalMethod={retrievalMethod}
|
||||
/>
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
import type { Edge, EnvironmentVariable, Node, SupportUploadFileTypes } from '@/app/components/workflow/types'
|
||||
import type { DSLImportMode, DSLImportStatus } from './app'
|
||||
import type { ChunkingMode, DatasetPermission, FileIndexingEstimateResponse, IconInfo } from './datasets'
|
||||
import type { ChunkingMode, DatasetPermission, DocumentIndexingStatus, FileIndexingEstimateResponse, IconInfo } from './datasets'
|
||||
import type { Dependency } from '@/app/components/plugins/types'
|
||||
import type { AppIconSelection } from '@/app/components/base/app-icon-picker'
|
||||
import type { Viewport } from 'reactflow'
|
||||
@ -187,10 +187,40 @@ export type PublishedPipelineRunRequest = {
|
||||
}
|
||||
|
||||
export type PublishedPipelineRunPreviewResponse = {
|
||||
task_iod: string
|
||||
workflow_run_id: string
|
||||
data: {
|
||||
id: string
|
||||
status: string
|
||||
created_at: number
|
||||
elapsed_time: number
|
||||
error: string
|
||||
finished_at: number
|
||||
outputs: FileIndexingEstimateResponse
|
||||
total_steps: number
|
||||
total_tokens: number
|
||||
workflow_id: string
|
||||
}
|
||||
}
|
||||
|
||||
export type PublishedPipelineRunResponse = {
|
||||
batch: string
|
||||
dataset: {
|
||||
chunk_structure: ChunkingMode
|
||||
description: string
|
||||
id: string
|
||||
name: string
|
||||
}
|
||||
documents: InitialDocumentDetail[]
|
||||
}
|
||||
|
||||
export type InitialDocumentDetail = {
|
||||
data_source_info: Record<string, any>
|
||||
data_source_type: DatasourceType
|
||||
enable: boolean
|
||||
error: string
|
||||
id: string
|
||||
indexing_status: DocumentIndexingStatus
|
||||
name: string
|
||||
position: number
|
||||
}
|
||||
|
||||
@ -195,7 +195,7 @@ export const useRunPublishedPipeline = (
|
||||
mutationKey: [NAME_SPACE, 'run-published-pipeline'],
|
||||
mutationFn: (request: PublishedPipelineRunRequest) => {
|
||||
const { pipeline_id: pipelineId, is_preview, ...rest } = request
|
||||
return post<PublishedPipelineRunPreviewResponse | PublishedPipelineRunRequest>(`/rag/pipelines/${pipelineId}/workflows/published/run`, {
|
||||
return post<PublishedPipelineRunPreviewResponse | PublishedPipelineRunResponse>(`/rag/pipelines/${pipelineId}/workflows/published/run`, {
|
||||
body: {
|
||||
...rest,
|
||||
is_preview,
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user