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* fix dataset search node reference save * rewrite --------- Co-authored-by: heheer <1239331448@qq.com>
154 lines
4.6 KiB
TypeScript
154 lines
4.6 KiB
TypeScript
import { MongoDataset } from '../dataset/schema';
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import { getEmbeddingModel } from '../ai/model';
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import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
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import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
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import type { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
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export async function listAppDatasetDataByTeamIdAndDatasetIds({
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teamId,
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datasetIdList
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}: {
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teamId?: string;
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datasetIdList: string[];
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}) {
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const myDatasets = await MongoDataset.find({
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_id: { $in: datasetIdList },
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...(teamId && { teamId })
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}).lean();
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return myDatasets.map((item) => ({
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datasetId: String(item._id),
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avatar: item.avatar,
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name: item.name,
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vectorModel: getEmbeddingModel(item.vectorModel)
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}));
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}
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export async function rewriteAppWorkflowToDetail({
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nodes,
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teamId,
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isRoot
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}: {
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nodes: StoreNodeItemType[];
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teamId: string;
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isRoot: boolean;
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}) {
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const datasetIdSet = new Set<string>();
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// Get all dataset ids from nodes
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nodes.forEach((node) => {
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if (node.flowNodeType !== FlowNodeTypeEnum.datasetSearchNode) return;
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const input = node.inputs.find((item) => item.key === NodeInputKeyEnum.datasetSelectList);
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if (!input) return;
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const rawValue = input.value as undefined | { datasetId: string }[] | { datasetId: string };
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if (!rawValue) return;
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const datasetIds = Array.isArray(rawValue)
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? rawValue.map((v) => v?.datasetId).filter((id) => !!id && typeof id === 'string')
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: rawValue?.datasetId
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? [String(rawValue.datasetId)]
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: [];
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datasetIds.forEach((id) => datasetIdSet.add(id));
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});
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if (datasetIdSet.size === 0) return;
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// Load dataset list
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const datasetList = await listAppDatasetDataByTeamIdAndDatasetIds({
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teamId: isRoot ? undefined : teamId,
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datasetIdList: Array.from(datasetIdSet)
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});
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const datasetMap = new Map(datasetList.map((ds) => [String(ds.datasetId), ds]));
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// Rewrite dataset ids, add dataset info to nodes
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if (datasetList.length > 0) {
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nodes.forEach((node) => {
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if (node.flowNodeType !== FlowNodeTypeEnum.datasetSearchNode) return;
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node.inputs.forEach((item) => {
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if (item.key !== NodeInputKeyEnum.datasetSelectList) return;
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const val = item.value as undefined | { datasetId: string }[] | { datasetId: string };
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if (Array.isArray(val)) {
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item.value = val
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.map((v) => {
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const data = datasetMap.get(String(v.datasetId));
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if (!data)
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return {
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datasetId: v.datasetId,
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avatar: '',
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name: 'Dataset not found',
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vectorModel: ''
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};
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return {
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datasetId: data.datasetId,
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avatar: data.avatar,
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name: data.name,
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vectorModel: data.vectorModel
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};
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})
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.filter(Boolean);
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} else if (typeof val === 'object' && val !== null) {
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const data = datasetMap.get(String(val.datasetId));
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if (!data) {
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item.value = [
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{
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datasetId: val.datasetId,
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avatar: '',
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name: 'Dataset not found',
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vectorModel: ''
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}
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];
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} else {
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item.value = [
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{
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datasetId: data.datasetId,
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avatar: data.avatar,
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name: data.name,
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vectorModel: data.vectorModel
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}
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];
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}
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}
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});
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});
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}
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return nodes;
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}
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export async function rewriteAppWorkflowToSimple(formatNodes: StoreNodeItemType[]) {
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formatNodes.forEach((node) => {
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if (node.flowNodeType !== FlowNodeTypeEnum.datasetSearchNode) return;
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node.inputs.forEach((input) => {
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if (input.key === NodeInputKeyEnum.datasetSelectList) {
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const val = input.value as undefined | { datasetId: string }[] | { datasetId: string };
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if (!val) {
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input.value = [];
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} else if (Array.isArray(val)) {
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// Not rewrite reference value
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if (val.length === 2 && val.every((item) => typeof item === 'string')) {
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return;
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}
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input.value = val
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.map((dataset: { datasetId: string }) => ({
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datasetId: dataset.datasetId
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}))
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.filter((item) => !!item.datasetId);
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} else if (typeof val === 'object' && val !== null) {
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input.value = [
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{
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datasetId: val.datasetId
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}
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];
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}
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}
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});
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});
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}
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