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* 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>
89 lines
2.1 KiB
TypeScript
89 lines
2.1 KiB
TypeScript
import { AppSchema } from '@fastgpt/global/core/app/type';
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import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
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import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
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import { getLLMModel } from '../ai/model';
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import { MongoApp } from './schema';
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export const beforeUpdateAppFormat = <T extends AppSchema['modules'] | undefined>({
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nodes,
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isPlugin
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}: {
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nodes: T;
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isPlugin: boolean;
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}) => {
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if (nodes) {
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// Check dataset maxTokens
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if (isPlugin) {
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let maxTokens = 16000;
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nodes.forEach((item) => {
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if (
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item.flowNodeType === FlowNodeTypeEnum.chatNode ||
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item.flowNodeType === FlowNodeTypeEnum.tools
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) {
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const model =
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item.inputs.find((item) => item.key === NodeInputKeyEnum.aiModel)?.value || '';
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const chatModel = getLLMModel(model);
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const quoteMaxToken = chatModel.quoteMaxToken || 16000;
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maxTokens = Math.max(maxTokens, quoteMaxToken);
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}
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});
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nodes.forEach((item) => {
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if (item.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
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item.inputs.forEach((input) => {
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if (input.key === NodeInputKeyEnum.datasetMaxTokens) {
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const val = input.value as number;
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if (val > maxTokens) {
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input.value = maxTokens;
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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 {
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nodes
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};
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};
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/* Get apps */
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export async function findAppAndAllChildren({
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teamId,
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appId,
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fields
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}: {
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teamId: string;
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appId: string;
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fields?: string;
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}): Promise<AppSchema[]> {
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const find = async (id: string) => {
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const children = await MongoApp.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 apps = children;
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for (const child of children) {
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const grandChildrenIds = await find(child._id);
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apps = apps.concat(grandChildrenIds);
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}
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return apps;
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};
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const [app, childDatasets] = await Promise.all([MongoApp.findById(appId, fields), find(appId)]);
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if (!app) {
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return Promise.reject('Dataset not found');
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}
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return [app, ...childDatasets];
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}
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