mirror of
https://github.com/labring/FastGPT.git
synced 2025-07-23 05:12:39 +00:00
4.6.8-alpha (#804)
* 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>
This commit is contained in:
@@ -15,6 +15,7 @@ import { delImgByRelatedId } from '../../../common/file/image/controller';
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import { deleteDatasetDataVector } from '../../../common/vectorStore/controller';
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import { delFileByFileIdList } from '../../../common/file/gridfs/controller';
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import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
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import { ClientSession } from '../../../common/mongo';
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export async function createOneCollection({
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teamId,
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@@ -35,41 +36,53 @@ export async function createOneCollection({
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hashRawText,
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rawTextLength,
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metadata = {},
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session,
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...props
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}: CreateDatasetCollectionParams & { teamId: string; tmbId: string; [key: string]: any }) {
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const { _id } = await MongoDatasetCollection.create({
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...props,
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teamId,
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tmbId,
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parentId: parentId || null,
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datasetId,
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name,
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type,
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}: CreateDatasetCollectionParams & {
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teamId: string;
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tmbId: string;
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[key: string]: any;
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session?: ClientSession;
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}) {
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const [collection] = await MongoDatasetCollection.create(
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[
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{
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...props,
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teamId,
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tmbId,
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parentId: parentId || null,
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datasetId,
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name,
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type,
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trainingType,
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chunkSize,
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chunkSplitter,
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qaPrompt,
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trainingType,
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chunkSize,
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chunkSplitter,
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qaPrompt,
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fileId,
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rawLink,
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fileId,
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rawLink,
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rawTextLength,
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hashRawText,
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metadata
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});
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rawTextLength,
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hashRawText,
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metadata
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}
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],
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{ session }
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);
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// create default collection
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if (type === DatasetCollectionTypeEnum.folder) {
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await createDefaultCollection({
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datasetId,
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parentId: _id,
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parentId: collection._id,
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teamId,
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tmbId
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tmbId,
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session
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});
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}
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return _id;
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return collection;
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}
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// create default collection
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@@ -78,34 +91,43 @@ export function createDefaultCollection({
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datasetId,
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parentId,
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teamId,
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tmbId
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tmbId,
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session
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}: {
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name?: '手动录入' | '手动标注';
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datasetId: string;
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parentId?: string;
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teamId: string;
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tmbId: string;
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session?: ClientSession;
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}) {
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return MongoDatasetCollection.create({
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name,
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teamId,
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tmbId,
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datasetId,
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parentId,
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type: DatasetCollectionTypeEnum.virtual,
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trainingType: TrainingModeEnum.chunk,
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chunkSize: 0,
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updateTime: new Date('2099')
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});
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return MongoDatasetCollection.create(
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[
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{
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name,
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teamId,
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tmbId,
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datasetId,
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parentId,
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type: DatasetCollectionTypeEnum.virtual,
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trainingType: TrainingModeEnum.chunk,
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chunkSize: 0,
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updateTime: new Date('2099')
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}
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],
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{ session }
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);
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}
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/**
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* delete collection and it related data
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*/
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export async function delCollectionAndRelatedSources({
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collections
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collections,
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session
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}: {
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collections: (CollectionWithDatasetType | DatasetCollectionSchemaType)[];
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session: ClientSession;
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}) {
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if (collections.length === 0) return;
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@@ -128,24 +150,25 @@ export async function delCollectionAndRelatedSources({
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await delay(2000);
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// delete dataset.datas
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await MongoDatasetData.deleteMany({ teamId, collectionId: { $in: collectionIds } });
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// delete pg data
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await deleteDatasetDataVector({ teamId, collectionIds });
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// delete file and imgs
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await Promise.all([
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delImgByRelatedId({
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teamId,
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relateIds: relatedImageIds
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}),
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delFileByFileIdList({
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bucketName: BucketNameEnum.dataset,
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fileIdList
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})
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]);
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await MongoDatasetData.deleteMany({ teamId, collectionId: { $in: collectionIds } }, { session });
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// delete imgs
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await delImgByRelatedId({
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teamId,
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relateIds: relatedImageIds,
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session
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});
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// delete collections
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await MongoDatasetCollection.deleteMany({
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_id: { $in: collectionIds }
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await MongoDatasetCollection.deleteMany(
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{
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_id: { $in: collectionIds }
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},
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{ session }
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);
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// no session delete: delete files, vector data
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await deleteDatasetDataVector({ teamId, collectionIds });
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await delFileByFileIdList({
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bucketName: BucketNameEnum.dataset,
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fileIdList
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});
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}
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@@ -9,6 +9,7 @@ import {
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TrainingModeEnum
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} from '@fastgpt/global/core/dataset/constants';
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import { hashStr } from '@fastgpt/global/common/string/tools';
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import { ClientSession } from '../../../common/mongo';
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/**
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* get all collection by top collectionId
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@@ -149,17 +150,17 @@ export const getCollectionAndRawText = async ({
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/* link collection start load data */
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export const reloadCollectionChunks = async ({
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collectionId,
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collection,
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tmbId,
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billId,
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rawText
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rawText,
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session
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}: {
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collectionId?: string;
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collection?: CollectionWithDatasetType;
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collection: CollectionWithDatasetType;
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tmbId: string;
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billId?: string;
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rawText?: string;
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session: ClientSession;
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}) => {
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const {
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title,
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@@ -168,7 +169,6 @@ export const reloadCollectionChunks = async ({
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isSameRawText
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} = await getCollectionAndRawText({
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collection,
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collectionId,
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newRawText: rawText
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});
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@@ -186,6 +186,7 @@ export const reloadCollectionChunks = async ({
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if (col.trainingType === TrainingModeEnum.qa) return col.datasetId.agentModel;
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return Promise.reject('Training model error');
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})();
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await MongoDatasetTraining.insertMany(
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chunks.map((item, i) => ({
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teamId: col.teamId,
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@@ -199,13 +200,18 @@ export const reloadCollectionChunks = async ({
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q: item,
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a: '',
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chunkIndex: i
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}))
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})),
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{ session }
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);
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// update raw text
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await MongoDatasetCollection.findByIdAndUpdate(col._id, {
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...(title && { name: title }),
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rawTextLength: newRawText.length,
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hashRawText: hashStr(newRawText)
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});
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await MongoDatasetCollection.findByIdAndUpdate(
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col._id,
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{
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...(title && { name: title }),
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rawTextLength: newRawText.length,
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hashRawText: hashStr(newRawText)
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},
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{ session }
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);
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};
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