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V4.8.15 feature (#3331)
* feat: add customize toolkit (#3205) * chaoyang * fix-auth * add toolkit * add order * plugin usage * fix * delete console: * Fix: Fix fullscreen preview top positioning and improve Markdown rendering logic (#3247) * 完成任务:修复全屏预览顶部固定问题,优化 Markdown 渲染逻辑 * 有问题修改 * 问题再修改 * 修正问题 * fix: plugin standalone display issue (#3254) * 4.8.15 test (#3246) * o1 config * perf: system plugin code * 调整系统插件代码。增加html 渲染安全配置。 (#3258) * perf: base64 picker * perf: list app or dataset * perf: plugin config code * 小窗适配等问题 (#3257) * 小窗适配等问题 * git问题 * 小窗剩余问题 * feat: system plugin auth and lock version (#3265) * feat: system plugin auth and lock version * update comment * 4.8.15 test (#3267) * tmp log * perf: login direct * perf: iframe html code * remove log * fix: plugin standalone display (#3277) * refactor: 页面拆分&i18n拆分 (#3281) * refactor: account组件拆成独立页面 * script: 新增i18n json文件创建脚本 * refactor: 页面i18n拆分 * i18n: add en&hant * 4.8.15 test (#3285) * tmp log * remove log * fix: watch avatar refresh * perf: i18n code * fix(plugin): use intro instead of userguide (#3290) * Universal SSO (#3292) * tmp log * remove log * feat: common oauth * readme * perf: sso provider * remove sso code * perf: refresh plugins * feat: add api dataset (#3272) * add api-dataset * fix api-dataset * fix api dataset * fix ts * perf: create collection code (#3301) * tmp log * remove log * perf: i18n change * update version doc * feat: question guide from chatId * perf: create collection code * fix: request api * fix: request api * fix: tts auth and response type (#3303) * perf: md splitter * fix: tts auth and response type * fix: api file dataset (#3307) * perf: api dataset init (#3310) * perf: collection schema * perf: api dataset init * refactor: 团队管理独立页面 (#3302) * ui: 团队管理独立页面 * 代码优化 * fix * perf: sync collection and ui check (#3314) * perf: sync collection * remove script * perf: update api server * perf: api dataset parent * perf: team ui * perf: team 18n * update team ui * perf: ui check * perf: i18n * fix: debug variables & cronjob & system plugin callback load (#3315) * fix: debug variables & cronjob & system plugin callback load * fix type * fix * fix * fix: plugin dataset quote;perf: system variables init (#3316) * fix: plugin dataset quote * perf: system variables init * perf: node templates ui;fix: dataset import ui (#3318) * fix: dataset import ui * perf: node templates ui * perf: ui refresh * feat:套餐改名和套餐跳转配置 (#3309) * fixing:except Sidebar * 去除了多余的代码 * 修正了套餐说明的代码 * 修正了误删除的show_git代码 * 修正了名字部分等代码 * 修正了问题,遗留了其他和ui讨论不一致的部分 * 4.8.15 test (#3319) * remove log * pref: bill ui * pref: bill ui * perf: log * html渲染文档 (#3270) * html渲染文档 * 文档有点小问题 * feat: doc (#3322) * 集合重训练 (#3282) * rebaser * 一点补充 * 小问题 * 其他问题修正,删除集合保留文件的参数还没找到... * reTraining * delete uesless * 删除了一行错误代码 * 集合重训练部分 * fixing * 删除console代码 * feat: navbar item config (#3326) * perf: custom navbar code;perf: retraining code;feat: api dataset and dataset api doc (#3329) * feat: api dataset and dataset api doc * perf: retraining code * perf: custom navbar code * fix: ts (#3330) * fix: ts * fix: ts * retraining ui * perf: api collection filter * perf: retrining button --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: Jiangween <145003935+Jiangween@users.noreply.github.com> Co-authored-by: papapatrick <109422393+Patrickill@users.noreply.github.com>
This commit is contained in:
@@ -1,17 +1,19 @@
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import type { CollectionWithDatasetType } from '@fastgpt/global/core/dataset/type.d';
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import { MongoDatasetCollection } from './schema';
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import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
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import { MongoDatasetTraining } from '../training/schema';
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import { urlsFetch } from '../../../common/string/cheerio';
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import {
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DatasetCollectionTypeEnum,
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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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import { PushDatasetDataResponse } from '@fastgpt/global/core/dataset/api';
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import { MongoDatasetCollectionTags } from '../tag/schema';
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import { readFromSecondary } from '../../../common/mongo/utils';
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import { CollectionWithDatasetType } from '@fastgpt/global/core/dataset/type';
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import {
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DatasetCollectionSyncResultEnum,
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DatasetCollectionTypeEnum,
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DatasetSourceReadTypeEnum,
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DatasetTypeEnum
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} from '@fastgpt/global/core/dataset/constants';
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import { DatasetErrEnum } from '@fastgpt/global/common/error/code/dataset';
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import { readDatasetSourceRawText } from '../read';
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import { hashStr } from '@fastgpt/global/common/string/tools';
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import { mongoSessionRun } from '../../../common/mongo/sessionRun';
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import { createCollectionAndInsertData, delCollection } from './controller';
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/**
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* get all collection by top collectionId
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@@ -61,148 +63,6 @@ export function getCollectionUpdateTime({ name, time }: { time?: Date; name: str
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return new Date();
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}
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/**
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* Get collection raw text by Collection or collectionId
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*/
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export const getCollectionAndRawText = async ({
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collectionId,
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collection,
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newRawText
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}: {
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collectionId?: string;
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collection?: CollectionWithDatasetType;
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newRawText?: string;
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}) => {
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const col = await (async () => {
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if (collection) return collection;
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if (collectionId) {
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return (await MongoDatasetCollection.findById(collectionId).populate(
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'datasetId'
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)) as CollectionWithDatasetType;
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}
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return null;
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})();
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if (!col) {
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return Promise.reject('Collection not found');
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}
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const { title, rawText } = await (async () => {
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if (newRawText)
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return {
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title: '',
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rawText: newRawText
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};
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// link
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if (col.type === DatasetCollectionTypeEnum.link && col.rawLink) {
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// crawl new data
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const result = await urlsFetch({
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urlList: [col.rawLink],
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selector: col.datasetId?.websiteConfig?.selector || col?.metadata?.webPageSelector
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});
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return {
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title: result[0]?.title,
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rawText: result[0]?.content
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};
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}
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// file
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return {
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title: '',
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rawText: ''
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};
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})();
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const hashRawText = hashStr(rawText);
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const isSameRawText = rawText && col.hashRawText === hashRawText;
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return {
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collection: col,
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title,
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rawText,
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isSameRawText
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};
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};
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/* link collection start load data */
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export const reloadCollectionChunks = async ({
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collection,
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tmbId,
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billId,
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rawText,
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session
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}: {
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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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}): Promise<PushDatasetDataResponse> => {
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const {
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title,
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rawText: newRawText,
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collection: col,
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isSameRawText
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} = await getCollectionAndRawText({
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collection,
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newRawText: rawText
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});
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if (isSameRawText)
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return {
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insertLen: 0
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};
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// split data
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const { chunks } = splitText2Chunks({
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text: newRawText,
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chunkLen: col.chunkSize || 512,
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customReg: col.chunkSplitter ? [col.chunkSplitter] : []
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});
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// insert to training queue
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const model = await (() => {
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if (col.trainingType === TrainingModeEnum.chunk) return col.datasetId.vectorModel;
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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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const result = await MongoDatasetTraining.insertMany(
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chunks.map((item, i) => ({
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teamId: col.teamId,
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tmbId,
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datasetId: col.datasetId._id,
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collectionId: col._id,
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billId,
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mode: col.trainingType,
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prompt: '',
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model,
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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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{ session }
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);
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// update raw text
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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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return {
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insertLen: result.length
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};
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};
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export const createOrGetCollectionTags = async ({
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tags,
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datasetId,
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@@ -268,3 +128,88 @@ export const collectionTagsToTagLabel = async ({
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})
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.filter(Boolean);
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};
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export const syncCollection = async (collection: CollectionWithDatasetType) => {
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const dataset = collection.datasetId;
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if (
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collection.type !== DatasetCollectionTypeEnum.link &&
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dataset.type !== DatasetTypeEnum.apiDataset
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) {
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return Promise.reject(DatasetErrEnum.notSupportSync);
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}
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// Get new text
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const sourceReadType = await (async () => {
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if (collection.type === DatasetCollectionTypeEnum.link) {
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if (!collection.rawLink) return Promise.reject('rawLink is missing');
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return {
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type: DatasetSourceReadTypeEnum.link,
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sourceId: collection.rawLink,
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selector: collection.metadata?.webPageSelector
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};
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}
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if (!collection.apiFileId) return Promise.reject('apiFileId is missing');
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if (!dataset.apiServer) return Promise.reject('apiServer not found');
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return {
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type: DatasetSourceReadTypeEnum.apiFile,
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sourceId: collection.apiFileId,
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apiServer: dataset.apiServer
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};
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})();
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const rawText = await readDatasetSourceRawText({
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teamId: collection.teamId,
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...sourceReadType
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});
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// Check if the original text is the same: skip if same
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const hashRawText = hashStr(rawText);
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if (collection.hashRawText && hashRawText === collection.hashRawText) {
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return DatasetCollectionSyncResultEnum.sameRaw;
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}
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await mongoSessionRun(async (session) => {
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// Create new collection
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await createCollectionAndInsertData({
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session,
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dataset,
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rawText: rawText,
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createCollectionParams: {
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teamId: collection.teamId,
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tmbId: collection.tmbId,
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datasetId: collection.datasetId._id,
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name: collection.name,
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type: collection.type,
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fileId: collection.fileId,
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rawLink: collection.rawLink,
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externalFileId: collection.externalFileId,
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externalFileUrl: collection.externalFileUrl,
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apiFileId: collection.apiFileId,
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rawTextLength: rawText.length,
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hashRawText,
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tags: collection.tags,
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createTime: collection.createTime,
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parentId: collection.parentId,
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trainingType: collection.trainingType,
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chunkSize: collection.chunkSize,
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chunkSplitter: collection.chunkSplitter,
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qaPrompt: collection.qaPrompt,
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metadata: collection.metadata
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}
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});
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// Delete old collection
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await delCollection({
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collections: [collection],
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delRelatedSource: false,
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session
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});
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});
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return DatasetCollectionSyncResultEnum.success;
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};
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