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* Training status (#4424) * dataset data training state (#4311) * dataset data training state * fix * fix ts * fix * fix api format * fix * fix * perf: count training * format * fix: dataset training state (#4417) * fix * add test * fix * fix * fix test * fix test * perf: training count * count * loading status --------- Co-authored-by: heheer <heheer@sealos.io> * doc * website sync feature (#4429) * perf: introduce BullMQ for website sync (#4403) * perf: introduce BullMQ for website sync * feat: new redis module * fix: remove graceful shutdown * perf: improve UI in dataset detail - Updated the "change" icon SVG file. - Modified i18n strings. - Added new i18n string "immediate_sync". - Improved UI in dataset detail page, including button icons and background colors. * refactor: Add chunkSettings to DatasetSchema * perf: website sync ux * env template * fix: clean up website dataset when updating chunk settings (#4420) * perf: check setting updated * perf: worker currency * feat: init script for website sync refactor (#4425) * website feature doc --------- Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> * pro migration (#4388) (#4433) * pro migration * reuse customPdfParseType Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com> * perf: remove loading ui * feat: config chat file expired time * Redis cache (#4436) * perf: add Redis cache for vector counting (#4432) * feat: cache * perf: get cache key --------- Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> * perf: mobile voice input (#4437) * update:Mobile voice interaction (#4362) * Add files via upload * Add files via upload * Update ollama.md * Update ollama.md * Add files via upload * Update useSpeech.ts * Update ChatInput.tsx * Update useSpeech.ts * Update ChatInput.tsx * Update useSpeech.ts * Update constants.ts * Add files via upload * Update ChatInput.tsx * Update useSpeech.ts * Update useSpeech.ts * Update useSpeech.ts * Update ChatInput.tsx * Add files via upload * Update common.json * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update useSpeech.ts * Update useSpeech.ts * Update common.json * Update common.json * Update common.json * Update VoiceInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update useSpeech.ts * Update common.json * Update chat.json * Update common.json * Update chat.json * Update common.json * Update chat.json * Update VoiceInput.tsx * Update ChatInput.tsx * Update useSpeech.ts * Update VoiceInput.tsx * speech ui * 优化语音输入组件,调整输入框显示逻辑,修复语音输入遮罩层样式,更新画布背景透明度,增强用户交互体验。 (#4435) * perf: mobil voice input --------- Co-authored-by: dreamer6680 <1468683855@qq.com> * Test completion v2 (#4438) * add v2 completions (#4364) * add v2 completions * completion config * config version * fix * frontend * doc * fix * fix: completions v2 api --------- Co-authored-by: heheer <heheer@sealos.io> * package * Test mongo log (#4443) * feat: mongodb-log (#4426) * perf: mongo log * feat: completions stop reasoner * mongo db log --------- Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> * update doc * Update doc * fix external var ui (#4444) * action * fix: ts (#4458) * preview doc action add docs preview permission update preview action udpate action * update doc (#4460) * update preview action * update doc * remove * update * schema * update mq export;perf: redis cache (#4465) * perf: redis cache * update mq export * perf: website sync error tip * add error worker * website sync ui (#4466) * Updated the dynamic display of the voice input pop-up (#4469) * Update VoiceInput.tsx * Update VoiceInput.tsx * Update VoiceInput.tsx * fix: voice input --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com> Co-authored-by: dreamer6680 <1468683855@qq.com> Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
120 lines
3.3 KiB
TypeScript
120 lines
3.3 KiB
TypeScript
import { 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 { delCollectionRelatedSource } from './collection/controller';
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import { ClientSession } from '../../common/mongo';
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import { MongoDatasetTraining } from './training/schema';
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import { MongoDatasetData } from './data/schema';
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import { deleteDatasetDataVector } from '../../common/vectorStore/controller';
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import { MongoDatasetDataText } from './data/dataTextSchema';
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import { DatasetErrEnum } from '@fastgpt/global/common/error/code/dataset';
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import { retryFn } from '@fastgpt/global/common/system/utils';
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import { removeWebsiteSyncJobScheduler } from './websiteSync';
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import { DatasetTypeEnum } from '@fastgpt/global/core/dataset/constants';
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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).lean(),
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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<{ dataset: DatasetSchemaType }>('dataset')
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.lean();
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if (!data) {
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return Promise.reject(DatasetErrEnum.unExistCollection);
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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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if (!teamId) {
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return Promise.reject('TeamId is required');
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}
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const datasetIds = datasets.map((item) => 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 datasetId fileId metadata'
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).lean();
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await retryFn(async () => {
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await Promise.all([
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// delete training data
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MongoDatasetTraining.deleteMany({
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teamId,
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datasetId: { $in: datasetIds }
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}),
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//Delete dataset_data_texts
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MongoDatasetDataText.deleteMany({
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teamId,
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datasetId: { $in: datasetIds }
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}),
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//delete dataset_datas
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MongoDatasetData.deleteMany({ teamId, datasetId: { $in: datasetIds } }),
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// Delete Image and file
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delCollectionRelatedSource({ collections }),
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// Delete vector data
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deleteDatasetDataVector({ teamId, datasetIds })
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]);
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});
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// delete collections
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await MongoDatasetCollection.deleteMany({
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teamId,
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datasetId: { $in: datasetIds }
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}).session(session);
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}
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