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https://github.com/langgenius/dify.git
synced 2024-11-16 03:32:23 +08:00
fix: retrieval setting validate (#10454)
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parent
16b9665033
commit
e4d175780e
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@ -47,12 +47,16 @@ const DatasetConfig: FC = () => {
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const {
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currentModel: currentRerankModel,
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currentProvider: currentRerankProvider,
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} = useModelListAndDefaultModelAndCurrentProviderAndModel(ModelTypeEnum.rerank)
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const onRemove = (id: string) => {
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const filteredDataSets = dataSet.filter(item => item.id !== id)
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setDataSet(filteredDataSets)
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const retrievalConfig = getMultipleRetrievalConfig(datasetConfigs as any, filteredDataSets, dataSet, !!currentRerankModel)
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const retrievalConfig = getMultipleRetrievalConfig(datasetConfigs as any, filteredDataSets, dataSet, {
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provider: currentRerankProvider?.provider,
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model: currentRerankModel?.model,
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})
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setDatasetConfigs({
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...(datasetConfigs as any),
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...retrievalConfig,
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@ -172,7 +172,7 @@ const ConfigContent: FC<Props> = ({
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return false
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return datasetConfigs.reranking_enable
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}, [canManuallyToggleRerank, datasetConfigs.reranking_enable])
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}, [canManuallyToggleRerank, datasetConfigs.reranking_enable, isRerankDefaultModelValid])
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const handleDisabledSwitchClick = useCallback(() => {
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if (!currentRerankModel && !showRerankModel)
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@ -43,6 +43,7 @@ const ParamsConfig = ({
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const {
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defaultModel: rerankDefaultModel,
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currentModel: isRerankDefaultModelValid,
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currentProvider: rerankDefaultProvider,
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} = useModelListAndDefaultModelAndCurrentProviderAndModel(ModelTypeEnum.rerank)
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const isValid = () => {
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@ -91,7 +92,10 @@ const ParamsConfig = ({
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reranking_mode: restConfigs.reranking_mode,
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weights: restConfigs.weights,
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reranking_enable: restConfigs.reranking_enable,
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}, selectedDatasets, selectedDatasets, !!isRerankDefaultModelValid)
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}, selectedDatasets, selectedDatasets, {
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provider: rerankDefaultProvider?.provider,
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model: isRerankDefaultModelValid?.model,
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})
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setTempDataSetConfigs({
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...retrievalConfig,
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@ -226,6 +226,7 @@ const Configuration: FC = () => {
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const [rerankSettingModalOpen, setRerankSettingModalOpen] = useState(false)
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const {
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currentModel: currentRerankModel,
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currentProvider: currentRerankProvider,
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} = useModelListAndDefaultModelAndCurrentProviderAndModel(ModelTypeEnum.rerank)
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const handleSelect = (data: DataSet[]) => {
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if (isEqual(data.map(item => item.id), dataSets.map(item => item.id))) {
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@ -279,7 +280,10 @@ const Configuration: FC = () => {
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reranking_mode: restConfigs.reranking_mode,
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weights: restConfigs.weights,
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reranking_enable: restConfigs.reranking_enable,
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}, newDatasets, dataSets, !!currentRerankModel)
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}, newDatasets, dataSets, {
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provider: currentRerankProvider?.provider,
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model: currentRerankModel?.model,
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})
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setDatasetConfigs({
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...retrievalConfig,
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@ -620,7 +624,10 @@ const Configuration: FC = () => {
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syncToPublishedConfig(config)
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setPublishedConfig(config)
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const retrievalConfig = getMultipleRetrievalConfig(modelConfig.dataset_configs, datasets, datasets, !!currentRerankModel)
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const retrievalConfig = getMultipleRetrievalConfig(modelConfig.dataset_configs, datasets, datasets, {
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provider: currentRerankProvider?.provider,
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model: currentRerankModel?.model,
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})
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setDatasetConfigs({
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retrieval_model: RETRIEVE_TYPE.multiWay,
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...modelConfig.dataset_configs,
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@ -1,7 +1,7 @@
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import { BlockEnum } from '../../types'
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import type { NodeDefault } from '../../types'
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import type { KnowledgeRetrievalNodeType } from './types'
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import { RerankingModeEnum } from '@/models/datasets'
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import { checkoutRerankModelConfigedInRetrievalSettings } from './utils'
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import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
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import { DATASET_DEFAULT } from '@/config'
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import { RETRIEVE_TYPE } from '@/types/app'
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@ -36,12 +36,17 @@ const nodeDefault: NodeDefault<KnowledgeRetrievalNodeType> = {
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if (!errorMessages && (!payload.dataset_ids || payload.dataset_ids.length === 0))
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errorMessages = t(`${i18nPrefix}.errorMsg.fieldRequired`, { field: t(`${i18nPrefix}.nodes.knowledgeRetrieval.knowledge`) })
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if (!errorMessages && payload.retrieval_mode === RETRIEVE_TYPE.multiWay && payload.multiple_retrieval_config?.reranking_mode === RerankingModeEnum.RerankingModel && !payload.multiple_retrieval_config?.reranking_model?.provider && payload.multiple_retrieval_config?.reranking_enable)
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errorMessages = t(`${i18nPrefix}.errorMsg.fieldRequired`, { field: t(`${i18nPrefix}.errorMsg.fields.rerankModel`) })
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if (!errorMessages && payload.retrieval_mode === RETRIEVE_TYPE.oneWay && !payload.single_retrieval_config?.model?.provider)
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errorMessages = t(`${i18nPrefix}.errorMsg.fieldRequired`, { field: t('common.modelProvider.systemReasoningModel.key') })
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const { _datasets, multiple_retrieval_config, retrieval_mode } = payload
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if (retrieval_mode === RETRIEVE_TYPE.multiWay) {
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const checked = checkoutRerankModelConfigedInRetrievalSettings(_datasets || [], multiple_retrieval_config)
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if (!errorMessages && !checked)
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errorMessages = t(`${i18nPrefix}.errorMsg.fieldRequired`, { field: t(`${i18nPrefix}.errorMsg.fields.rerankModel`) })
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}
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return {
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isValid: !errorMessages,
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errorMessage: errorMessages,
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@ -1,6 +1,7 @@
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import type { CommonNodeType, ModelConfig, ValueSelector } from '@/app/components/workflow/types'
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import type { RETRIEVE_TYPE } from '@/types/app'
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import type {
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DataSet,
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RerankingModeEnum,
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} from '@/models/datasets'
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@ -35,4 +36,5 @@ export type KnowledgeRetrievalNodeType = CommonNodeType & {
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retrieval_mode: RETRIEVE_TYPE
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multiple_retrieval_config?: MultipleRetrievalConfig
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single_retrieval_config?: SingleRetrievalConfig
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_datasets?: DataSet[]
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}
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@ -67,6 +67,7 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
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const {
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currentModel: currentRerankModel,
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currentProvider: currentRerankProvider,
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} = useCurrentProviderAndModel(
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rerankModelList,
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rerankDefaultModel
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@ -163,7 +164,10 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
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draft.retrieval_mode = newMode
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if (newMode === RETRIEVE_TYPE.multiWay) {
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const multipleRetrievalConfig = draft.multiple_retrieval_config
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draft.multiple_retrieval_config = getMultipleRetrievalConfig(multipleRetrievalConfig!, selectedDatasets, selectedDatasets, !!currentRerankModel)
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draft.multiple_retrieval_config = getMultipleRetrievalConfig(multipleRetrievalConfig!, selectedDatasets, selectedDatasets, {
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provider: currentRerankProvider?.provider,
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model: currentRerankModel?.model,
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})
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}
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else {
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const hasSetModel = draft.single_retrieval_config?.model?.provider
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@ -180,14 +184,17 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
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}
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})
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setInputs(newInputs)
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}, [currentModel?.model, currentModel?.model_properties?.mode, currentProvider?.provider, inputs, setInputs, selectedDatasets, currentRerankModel])
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}, [currentModel?.model, currentModel?.model_properties?.mode, currentProvider?.provider, inputs, setInputs, selectedDatasets, currentRerankModel, currentRerankProvider])
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const handleMultipleRetrievalConfigChange = useCallback((newConfig: MultipleRetrievalConfig) => {
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const newInputs = produce(inputs, (draft) => {
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draft.multiple_retrieval_config = getMultipleRetrievalConfig(newConfig!, selectedDatasets, selectedDatasets, !!currentRerankModel)
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draft.multiple_retrieval_config = getMultipleRetrievalConfig(newConfig!, selectedDatasets, selectedDatasets, {
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provider: currentRerankProvider?.provider,
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model: currentRerankModel?.model,
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})
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})
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setInputs(newInputs)
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}, [inputs, setInputs, selectedDatasets, currentRerankModel])
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}, [inputs, setInputs, selectedDatasets, currentRerankModel, currentRerankProvider])
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// datasets
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useEffect(() => {
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@ -200,6 +207,7 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
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}
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const newInputs = produce(inputs, (draft) => {
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draft.dataset_ids = datasetIds
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draft._datasets = selectedDatasets
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})
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setInputs(newInputs)
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})()
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@ -228,10 +236,14 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
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} = getSelectedDatasetsMode(newDatasets)
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const newInputs = produce(inputs, (draft) => {
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draft.dataset_ids = newDatasets.map(d => d.id)
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draft._datasets = newDatasets
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if (payload.retrieval_mode === RETRIEVE_TYPE.multiWay && newDatasets.length > 0) {
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const multipleRetrievalConfig = draft.multiple_retrieval_config
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draft.multiple_retrieval_config = getMultipleRetrievalConfig(multipleRetrievalConfig!, newDatasets, selectedDatasets, !!currentRerankModel)
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draft.multiple_retrieval_config = getMultipleRetrievalConfig(multipleRetrievalConfig!, newDatasets, selectedDatasets, {
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provider: currentRerankProvider?.provider,
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model: currentRerankModel?.model,
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})
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}
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})
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setInputs(newInputs)
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@ -243,7 +255,7 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
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|| allExternal
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)
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setRerankModelOpen(true)
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}, [inputs, setInputs, payload.retrieval_mode, selectedDatasets, currentRerankModel])
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}, [inputs, setInputs, payload.retrieval_mode, selectedDatasets, currentRerankModel, currentRerankProvider])
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const filterVar = useCallback((varPayload: Var) => {
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return varPayload.type === VarType.string
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@ -94,9 +94,10 @@ export const getMultipleRetrievalConfig = (
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multipleRetrievalConfig: MultipleRetrievalConfig,
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selectedDatasets: DataSet[],
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originalDatasets: DataSet[],
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isValidRerankModel?: boolean,
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validRerankModel?: { provider?: string; model?: string },
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) => {
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const shouldSetWeightDefaultValue = xorBy(selectedDatasets, originalDatasets, 'id').length > 0
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const rerankModelIsValid = validRerankModel?.provider && validRerankModel?.model
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const {
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allHighQuality,
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@ -128,18 +129,10 @@ export const getMultipleRetrievalConfig = (
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reranking_enable: ((allInternal && allEconomic) || allExternal) ? reranking_enable : true,
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}
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if (allEconomic || mixtureHighQualityAndEconomic || inconsistentEmbeddingModel || allExternal || mixtureInternalAndExternal)
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result.reranking_mode = RerankingModeEnum.RerankingModel
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if (allHighQuality && !inconsistentEmbeddingModel && reranking_mode === undefined && allInternal)
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result.reranking_mode = RerankingModeEnum.WeightedScore
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if (allHighQuality && !inconsistentEmbeddingModel && (reranking_mode === RerankingModeEnum.WeightedScore || reranking_mode === undefined) && allInternal && !weights) {
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if (!isValidRerankModel)
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result.reranking_mode = RerankingModeEnum.WeightedScore
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else
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result.reranking_mode = RerankingModeEnum.RerankingModel
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if (!rerankModelIsValid)
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result.reranking_model = undefined
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const setDefaultWeights = () => {
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result.weights = {
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vector_setting: {
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vector_weight: allHighQualityVectorSearch
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@ -160,31 +153,85 @@ export const getMultipleRetrievalConfig = (
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}
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}
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if (shouldSetWeightDefaultValue && allHighQuality && !inconsistentEmbeddingModel && (reranking_mode === RerankingModeEnum.WeightedScore || reranking_mode === undefined || !isValidRerankModel) && allInternal && weights) {
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if (!isValidRerankModel)
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result.reranking_mode = RerankingModeEnum.WeightedScore
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else
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result.reranking_mode = RerankingModeEnum.RerankingModel
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if (allEconomic || mixtureHighQualityAndEconomic || inconsistentEmbeddingModel || allExternal || mixtureInternalAndExternal) {
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result.reranking_mode = RerankingModeEnum.RerankingModel
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result.weights = {
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vector_setting: {
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vector_weight: allHighQualityVectorSearch
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? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.semantic
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: allHighQualityFullTextSearch
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? DEFAULT_WEIGHTED_SCORE.allHighQualityFullTextSearch.semantic
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: DEFAULT_WEIGHTED_SCORE.other.semantic,
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embedding_provider_name: selectedDatasets[0].embedding_model_provider,
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embedding_model_name: selectedDatasets[0].embedding_model,
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},
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keyword_setting: {
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keyword_weight: allHighQualityVectorSearch
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? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.keyword
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: allHighQualityFullTextSearch
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? DEFAULT_WEIGHTED_SCORE.allHighQualityFullTextSearch.keyword
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: DEFAULT_WEIGHTED_SCORE.other.keyword,
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},
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if (rerankModelIsValid) {
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result.reranking_mode = RerankingModeEnum.RerankingModel
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result.reranking_model = {
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provider: validRerankModel?.provider || '',
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model: validRerankModel?.model || '',
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}
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}
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else {
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result.reranking_model = undefined
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}
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}
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if (allHighQuality && !inconsistentEmbeddingModel && allInternal) {
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if (!reranking_mode) {
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if (validRerankModel?.provider && validRerankModel?.model) {
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result.reranking_mode = RerankingModeEnum.RerankingModel
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result.reranking_model = {
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provider: validRerankModel.provider,
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model: validRerankModel.model,
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}
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}
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else {
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result.reranking_mode = RerankingModeEnum.WeightedScore
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setDefaultWeights()
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}
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}
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if (reranking_mode === RerankingModeEnum.WeightedScore && !weights)
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setDefaultWeights()
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if (reranking_mode === RerankingModeEnum.WeightedScore && weights && shouldSetWeightDefaultValue) {
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if (rerankModelIsValid) {
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result.reranking_mode = RerankingModeEnum.RerankingModel
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result.reranking_model = {
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provider: validRerankModel.provider || '',
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model: validRerankModel.model || '',
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}
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}
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else {
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setDefaultWeights()
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}
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}
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if (reranking_mode === RerankingModeEnum.RerankingModel && !rerankModelIsValid && shouldSetWeightDefaultValue) {
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result.reranking_mode = RerankingModeEnum.WeightedScore
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setDefaultWeights()
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}
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}
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return result
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}
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export const checkoutRerankModelConfigedInRetrievalSettings = (
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datasets: DataSet[],
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multipleRetrievalConfig?: MultipleRetrievalConfig,
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) => {
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if (!multipleRetrievalConfig)
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return true
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const {
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allEconomic,
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allExternal,
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} = getSelectedDatasetsMode(datasets)
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const {
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reranking_enable,
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reranking_mode,
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reranking_model,
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} = multipleRetrievalConfig
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if (reranking_mode === RerankingModeEnum.RerankingModel && (!reranking_model?.provider || !reranking_model?.model)) {
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if ((allEconomic || allExternal) && !reranking_enable)
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return true
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return false
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}
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return true
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}
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