import type { FC } from 'react' import type { KnowledgeBaseNodeType } from './types' import type { NodeProps } from '@/app/components/workflow/types' import { useQuery } from '@tanstack/react-query' import { memo, useMemo, } from 'react' import { useTranslation } from 'react-i18next' import { ModelTypeEnum, } from '@/app/components/header/account-setting/model-provider-page/declarations' import { useLanguage, useModelList, } from '@/app/components/header/account-setting/model-provider-page/hooks' import { consoleQuery } from '@/service/client' import { cn } from '@/utils/classnames' import { useSettingsDisplay } from './hooks/use-settings-display' import { IndexMethodEnum, } from './types' import { getKnowledgeBaseValidationIssue, getKnowledgeBaseValidationMessage, isKnowledgeBaseEmbeddingIssue, KnowledgeBaseValidationIssueCode, } from './utils' type SettingRowProps = { label: string value: string warning?: boolean } const SettingRow = memo(({ label, value, warning = false, }: SettingRowProps) => { return (
{label}
{value}
) }) const RETRIEVAL_WARNING_CODES = new Set([ KnowledgeBaseValidationIssueCode.retrievalSettingRequired, KnowledgeBaseValidationIssueCode.rerankingModelRequired, KnowledgeBaseValidationIssueCode.rerankingModelInvalid, ]) const Node: FC> = ({ data }) => { const { t } = useTranslation() const language = useLanguage() const settingsDisplay = useSettingsDisplay() const { data: embeddingModelList } = useModelList(ModelTypeEnum.textEmbedding) const { data: rerankModelList } = useModelList(ModelTypeEnum.rerank) const chunkStructure = data.chunk_structure const indexChunkVariableSelector = data.index_chunk_variable_selector const indexingTechnique = data.indexing_technique const embeddingModel = data.embedding_model const retrievalModel = data.retrieval_model const retrievalSearchMethod = retrievalModel?.search_method const retrievalRerankingEnable = retrievalModel?.reranking_enable const embeddingModelProvider = data.embedding_model_provider const { data: embeddingProviderModelList } = useQuery( consoleQuery.modelProviders.models.queryOptions({ input: { params: { provider: embeddingModelProvider || '' } }, enabled: indexingTechnique === IndexMethodEnum.QUALIFIED && !!embeddingModelProvider, refetchOnWindowFocus: false, select: response => response.data, }), ) const validationPayload = useMemo(() => { return { chunk_structure: chunkStructure, index_chunk_variable_selector: indexChunkVariableSelector, indexing_technique: indexingTechnique, embedding_model: embeddingModel, embedding_model_provider: embeddingModelProvider, retrieval_model: { search_method: retrievalSearchMethod, reranking_enable: retrievalRerankingEnable, reranking_model: retrievalModel?.reranking_model, }, _embeddingModelList: embeddingModelList, _embeddingProviderModelList: embeddingProviderModelList, _rerankModelList: rerankModelList, } }, [ chunkStructure, indexChunkVariableSelector, indexingTechnique, embeddingModel, embeddingModelProvider, retrievalSearchMethod, retrievalRerankingEnable, retrievalModel?.reranking_model, embeddingModelList, embeddingProviderModelList, rerankModelList, ]) const validationIssue = useMemo(() => { return getKnowledgeBaseValidationIssue({ ...validationPayload, }) }, [validationPayload]) const validationIssueMessage = useMemo(() => { return getKnowledgeBaseValidationMessage(validationIssue, t) }, [validationIssue, t]) const chunksDisplayValue = useMemo(() => { if (!data.index_chunk_variable_selector?.length) return '-' const chunkVar = data.index_chunk_variable_selector.at(-1) return chunkVar || '-' }, [data.index_chunk_variable_selector]) const embeddingModelDisplay = useMemo(() => { if (data.indexing_technique !== IndexMethodEnum.QUALIFIED) return '-' if (isKnowledgeBaseEmbeddingIssue(validationIssue)) return validationIssueMessage const currentEmbeddingModelProvider = embeddingModelList.find(provider => provider.provider === data.embedding_model_provider) const currentEmbeddingModel = currentEmbeddingModelProvider?.models.find(model => model.model === data.embedding_model) return currentEmbeddingModel?.label[language] || currentEmbeddingModel?.label.en_US || data.embedding_model || '-' }, [data.embedding_model, data.embedding_model_provider, data.indexing_technique, embeddingModelList, language, validationIssue, validationIssueMessage]) const indexMethodDisplay = settingsDisplay[data.indexing_technique as keyof typeof settingsDisplay] || '-' const retrievalMethodDisplay = settingsDisplay[data.retrieval_model?.search_method as keyof typeof settingsDisplay] || '-' const chunksWarning = validationIssue?.code === KnowledgeBaseValidationIssueCode.chunksVariableRequired const indexMethodWarning = validationIssue?.code === KnowledgeBaseValidationIssueCode.indexMethodRequired const embeddingWarning = isKnowledgeBaseEmbeddingIssue(validationIssue) const showEmbeddingModelRow = data.indexing_technique === IndexMethodEnum.QUALIFIED const retrievalWarning = !!(validationIssue && RETRIEVAL_WARNING_CODES.has(validationIssue.code)) if (!data.chunk_structure) { return (
{validationIssueMessage}
) } return (
{showEmbeddingModelRow && ( )}
) } export default memo(Node)