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* perf: redirect request and err log replace perf: dataset openapi feat: session fix: retry input error feat: 468 doc sub page feat: standard sub perf: rerank tip perf: rerank tip perf: api sdk perf: openapi sub plan perf: sub ui fix: ts * perf: init log * fix: variable select * sub page * icon * perf: llm model config * perf: menu ux * perf: system store * perf: publish app name * fix: init data * perf: flow edit ux * fix: value type format and ux * fix prompt editor default value (#13) * fix prompt editor default value * fix prompt editor update when not focus * add key with variable --------- Co-authored-by: Archer <545436317@qq.com> * fix: value type * doc * i18n * import path * home page * perf: mongo session running * fix: ts * perf: use toast * perf: flow edit * perf: sse response * slider ui * fetch error * fix prompt editor rerender when not focus by key defaultvalue (#14) * perf: prompt editor * feat: dataset search concat * perf: doc * fix:ts * perf: doc * fix json editor onblur value (#15) * faq * vector model default config * ipv6 --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
82 lines
2.1 KiB
TypeScript
82 lines
2.1 KiB
TypeScript
import { CollectionWithDatasetType, DatasetSchemaType } from '@fastgpt/global/core/dataset/type';
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import { MongoDatasetCollection } from './collection/schema';
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import { MongoDataset } from './schema';
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import { delCollectionAndRelatedSources } from './collection/controller';
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import { ClientSession } from '../../common/mongo';
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/* ============= dataset ========== */
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/* find all datasetId by top datasetId */
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export async function findDatasetAndAllChildren({
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teamId,
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datasetId,
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fields
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}: {
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teamId: string;
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datasetId: string;
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fields?: string;
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}): Promise<DatasetSchemaType[]> {
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const find = async (id: string) => {
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const children = await MongoDataset.find(
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{
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teamId,
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parentId: id
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},
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fields
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).lean();
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let datasets = children;
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for (const child of children) {
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const grandChildrenIds = await find(child._id);
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datasets = datasets.concat(grandChildrenIds);
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}
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return datasets;
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};
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const [dataset, childDatasets] = await Promise.all([
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MongoDataset.findById(datasetId),
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find(datasetId)
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]);
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if (!dataset) {
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return Promise.reject('Dataset not found');
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}
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return [dataset, ...childDatasets];
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}
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export async function getCollectionWithDataset(collectionId: string) {
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const data = (await MongoDatasetCollection.findById(collectionId)
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.populate('datasetId')
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.lean()) as CollectionWithDatasetType;
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if (!data) {
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return Promise.reject('Collection is not exist');
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}
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return data;
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}
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/* delete all data by datasetIds */
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export async function delDatasetRelevantData({
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datasets,
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session
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}: {
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datasets: DatasetSchemaType[];
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session: ClientSession;
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}) {
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if (!datasets.length) return;
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const teamId = datasets[0].teamId;
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const datasetIds = datasets.map((item) => String(item._id));
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// Get _id, teamId, fileId, metadata.relatedImgId for all collections
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const collections = await MongoDatasetCollection.find(
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{
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teamId,
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datasetId: { $in: datasetIds }
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},
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'_id teamId fileId metadata'
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).lean();
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await delCollectionAndRelatedSources({ collections, session });
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}
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