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* update doc * feat: Add coupon redemption feature for team subscriptions (#4595) * feat: Add coupon redemption feature for team subscriptions - Introduced `TeamCouponSub` and `TeamCouponSchema` types - Added `redeemCoupon` API endpoint - Updated UI to include a modal for coupon redemption - Added new icon and translations for "Redeem coupon" * perf: remove field teamId * perf: use dynamic import * refactor: move to page component * perf: coupon code * perf: mcp server * perf: test * auto layout (#4634) * fix 4.9.6 (#4631) * fix debug quote list * delete next text node match * fix extract default boolean value * export latest 100 chat items * fix quote item ui * doc * fix doc * feat: auto layout * perf: auto layout * fix: auto layout null * add start node --------- Co-authored-by: heheer <heheer@sealos.io> * fix: share link (#4644) * Add workflow run duration;Get audio duration (#4645) * add duration * get audio duration * Custom config path (#4649) * feat: 通过环境变量DATA_PATH获取配置文件目录 (#4622) 通过环境变量DATA_PATH获取配置文件目录,以应对不同的部署方式的多样化需求 * feat: custom configjson path * doc --------- Co-authored-by: John Chen <sss1991@163.com> * 程序api调用场景下,如果大量调用带有图片或视频,产生的聊天记录会导致后台mongo数据库异常。这个修改给api客户端一个禁止生成聊天记录的选项,避免这个后果。 (#3964) * update special chatId * perf: vector db rename * update operationLog (#4647) * update operationLog * combine operationLogMap * solve operationI18nLogMap bug * remoce log * feat: Rerank usage (#4654) * refresh concat when update (#4655) * fix: refresh code * perf: timer lock * Fix operationLog (#4657) * perf: http streamable mcp * add alipay (#4630) * perf: subplan ui * perf: pay code * hiden bank tip * Fix: pay error (#4665) * fix quote number (#4666) * remove log --------- Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: John Chen <sss1991@163.com> Co-authored-by: gaord <bengao168@msn.com> Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com>
277 lines
7.2 KiB
TypeScript
277 lines
7.2 KiB
TypeScript
import type { AIChatItemType, UserChatItemType } from '@fastgpt/global/core/chat/type.d';
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import { MongoApp } from '../app/schema';
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import {
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ChatItemValueTypeEnum,
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ChatRoleEnum,
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ChatSourceEnum
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} from '@fastgpt/global/core/chat/constants';
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import { MongoChatItem } from './chatItemSchema';
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import { MongoChat } from './chatSchema';
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import { addLog } from '../../common/system/log';
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import { mongoSessionRun } from '../../common/mongo/sessionRun';
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import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
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import { getAppChatConfig, getGuideModule } from '@fastgpt/global/core/workflow/utils';
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import { AppChatConfigType } from '@fastgpt/global/core/app/type';
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import { mergeChatResponseData } from '@fastgpt/global/core/chat/utils';
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import { pushChatLog } from './pushChatLog';
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import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
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import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
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import { extractDeepestInteractive } from '@fastgpt/global/core/workflow/runtime/utils';
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type Props = {
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chatId: string;
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appId: string;
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teamId: string;
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tmbId: string;
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nodes: StoreNodeItemType[];
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appChatConfig?: AppChatConfigType;
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variables?: Record<string, any>;
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isUpdateUseTime: boolean;
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newTitle: string;
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source: `${ChatSourceEnum}`;
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sourceName?: string;
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shareId?: string;
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outLinkUid?: string;
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content: [UserChatItemType & { dataId?: string }, AIChatItemType & { dataId?: string }];
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metadata?: Record<string, any>;
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durationSeconds: number; //s
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};
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export async function saveChat({
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chatId,
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appId,
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teamId,
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tmbId,
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nodes,
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appChatConfig,
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variables,
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isUpdateUseTime,
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newTitle,
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source,
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sourceName,
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shareId,
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outLinkUid,
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content,
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durationSeconds,
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metadata = {}
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}: Props) {
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if (!chatId || chatId === 'NO_RECORD_HISTORIES') return;
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try {
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const chat = await MongoChat.findOne(
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{
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appId,
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chatId
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},
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'_id metadata'
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);
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const metadataUpdate = {
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...chat?.metadata,
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...metadata
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};
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const { welcomeText, variables: variableList } = getAppChatConfig({
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chatConfig: appChatConfig,
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systemConfigNode: getGuideModule(nodes),
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isPublicFetch: false
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});
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const pluginInputs = nodes?.find(
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(node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput
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)?.inputs;
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// Format save chat content: Remove quote q/a
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const processedContent = content.map((item) => {
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if (item.obj === ChatRoleEnum.AI) {
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const nodeResponse = item[DispatchNodeResponseKeyEnum.nodeResponse]?.map((responseItem) => {
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if (
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responseItem.moduleType === FlowNodeTypeEnum.datasetSearchNode &&
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responseItem.quoteList
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) {
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return {
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...responseItem,
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quoteList: responseItem.quoteList.map((quote: any) => ({
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id: quote.id,
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chunkIndex: quote.chunkIndex,
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datasetId: quote.datasetId,
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collectionId: quote.collectionId,
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sourceId: quote.sourceId,
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sourceName: quote.sourceName,
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score: quote.score,
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tokens: quote.tokens
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}))
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};
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}
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return responseItem;
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});
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return {
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...item,
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[DispatchNodeResponseKeyEnum.nodeResponse]: nodeResponse,
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durationSeconds
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};
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}
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return item;
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});
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await mongoSessionRun(async (session) => {
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const [{ _id: chatItemIdHuman }, { _id: chatItemIdAi }] = await MongoChatItem.insertMany(
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processedContent.map((item) => ({
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chatId,
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teamId,
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tmbId,
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appId,
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...item
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})),
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{ session }
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);
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await MongoChat.updateOne(
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{
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appId,
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chatId
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},
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{
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$set: {
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teamId,
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tmbId,
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appId,
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chatId,
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variableList,
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welcomeText,
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variables: variables || {},
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pluginInputs,
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title: newTitle,
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source,
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sourceName,
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shareId,
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outLinkUid,
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metadata: metadataUpdate,
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updateTime: new Date()
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}
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},
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{
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session,
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upsert: true
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}
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);
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pushChatLog({
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chatId,
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chatItemIdHuman: String(chatItemIdHuman),
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chatItemIdAi: String(chatItemIdAi),
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appId
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});
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});
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if (isUpdateUseTime) {
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await MongoApp.findByIdAndUpdate(appId, {
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updateTime: new Date()
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});
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}
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} catch (error) {
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addLog.error(`update chat history error`, error);
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}
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}
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export const updateInteractiveChat = async ({
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chatId,
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appId,
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userInteractiveVal,
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aiResponse,
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newVariables,
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durationSeconds
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}: {
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chatId: string;
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appId: string;
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userInteractiveVal: string;
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aiResponse: AIChatItemType & { dataId?: string };
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newVariables?: Record<string, any>;
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durationSeconds: number;
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}) => {
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if (!chatId) return;
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const chatItem = await MongoChatItem.findOne({ appId, chatId, obj: ChatRoleEnum.AI }).sort({
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_id: -1
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});
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if (!chatItem || chatItem.obj !== ChatRoleEnum.AI) return;
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// Update interactive value
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const interactiveValue = chatItem.value[chatItem.value.length - 1];
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if (
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!interactiveValue ||
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interactiveValue.type !== ChatItemValueTypeEnum.interactive ||
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!interactiveValue.interactive?.params
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) {
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return;
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}
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const parsedUserInteractiveVal = (() => {
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try {
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return JSON.parse(userInteractiveVal);
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} catch (err) {
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return userInteractiveVal;
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}
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})();
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let finalInteractive = extractDeepestInteractive(interactiveValue.interactive);
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if (finalInteractive.type === 'userSelect') {
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finalInteractive.params.userSelectedVal = userInteractiveVal;
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} else if (
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finalInteractive.type === 'userInput' &&
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typeof parsedUserInteractiveVal === 'object'
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) {
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finalInteractive.params.inputForm = finalInteractive.params.inputForm.map((item) => {
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const itemValue = parsedUserInteractiveVal[item.label];
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return itemValue !== undefined
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? {
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...item,
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value: itemValue
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}
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: item;
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});
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finalInteractive.params.submitted = true;
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}
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if (aiResponse.customFeedbacks) {
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chatItem.customFeedbacks = chatItem.customFeedbacks
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? [...chatItem.customFeedbacks, ...aiResponse.customFeedbacks]
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: aiResponse.customFeedbacks;
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}
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if (aiResponse.responseData) {
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chatItem.responseData = chatItem.responseData
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? mergeChatResponseData([...chatItem.responseData, ...aiResponse.responseData])
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: aiResponse.responseData;
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}
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if (aiResponse.value) {
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chatItem.value = chatItem.value ? [...chatItem.value, ...aiResponse.value] : aiResponse.value;
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}
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chatItem.durationSeconds = chatItem.durationSeconds
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? +(chatItem.durationSeconds + durationSeconds).toFixed(2)
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: durationSeconds;
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await mongoSessionRun(async (session) => {
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await chatItem.save({ session });
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await MongoChat.updateOne(
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{
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appId,
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chatId
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},
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{
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$set: {
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variables: newVariables,
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updateTime: new Date()
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}
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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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};
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