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* update: Add type * fix: update import statement for NextApiRequest type * fix: update imports to use type for LexicalEditor and EditorState * Refactor imports to use 'import type' for type-only imports across multiple files - Updated imports in various components and API files to use 'import type' for better clarity and to optimize TypeScript's type checking. - Ensured consistent usage of type imports in files related to chat, dataset, workflow, and user management. - Improved code readability and maintainability by distinguishing between value and type imports. * refactor: remove old ESLint configuration and add new rules - Deleted the old ESLint configuration file from the app project. - Added a new ESLint configuration file with updated rules and settings. - Changed imports to use type-only imports in various files for better clarity and performance. - Updated TypeScript configuration to remove unnecessary options. - Added an ESLint ignore file to exclude build and dependency directories from linting. * fix: update imports to use 'import type' for type-only imports in schema files
200 lines
4.8 KiB
TypeScript
200 lines
4.8 KiB
TypeScript
import { addLog } from '../../common/system/log';
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import { MongoChatItem } from './chatItemSchema';
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import { MongoChat } from './chatSchema';
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import axios from 'axios';
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import {
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type AIChatItemType,
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type ChatItemType,
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type UserChatItemType
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} from '@fastgpt/global/core/chat/type';
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import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
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export type Metadata = {
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[key: string]: {
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label: string;
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value: string;
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};
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};
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export const pushChatLog = ({
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chatId,
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chatItemIdHuman,
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chatItemIdAi,
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appId,
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metadata
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}: {
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chatId: string;
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chatItemIdHuman: string;
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chatItemIdAi: string;
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appId: string;
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metadata?: Metadata;
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}) => {
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const interval = Number(process.env.CHAT_LOG_INTERVAL);
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const url = process.env.CHAT_LOG_URL;
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if (!isNaN(interval) && interval > 0 && url) {
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addLog.debug(`[ChatLogPush] push chat log after ${interval}ms`, {
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appId,
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chatItemIdHuman,
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chatItemIdAi
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});
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setTimeout(() => {
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pushChatLogInternal({ chatId, chatItemIdHuman, chatItemIdAi, appId, url, metadata });
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}, interval);
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}
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};
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type ChatItem = ChatItemType & {
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userGoodFeedback?: string;
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userBadFeedback?: string;
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chatId: string;
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responseData: {
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moduleType: string;
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runningTime: number; //s
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historyPreview: { obj: string; value: string }[];
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}[];
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time: Date;
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};
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type ChatLog = {
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title: string;
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feedback: 'like' | 'dislike' | null;
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chatItemId: string;
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uid: string;
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question: string;
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answer: string;
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chatId: string;
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responseTime: number;
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metadata: string;
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sourceName: string;
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createdAt: number;
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sourceId: string;
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};
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const pushChatLogInternal = async ({
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chatId,
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chatItemIdHuman,
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chatItemIdAi,
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appId,
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url,
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metadata
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}: {
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chatId: string;
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chatItemIdHuman: string;
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chatItemIdAi: string;
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appId: string;
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url: string;
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metadata?: Metadata;
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}) => {
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try {
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const [chatItemHuman, chatItemAi] = await Promise.all([
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MongoChatItem.findById(chatItemIdHuman).lean() as Promise<UserChatItemType>,
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MongoChatItem.findById(chatItemIdAi).lean() as Promise<AIChatItemType>
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]);
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if (!chatItemHuman || !chatItemAi) {
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return;
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}
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const chat = await MongoChat.findOne({ chatId }).lean();
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// addLog.warn('ChatLogDebug', chat);
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// addLog.warn('ChatLogDebug', { chatItemHuman, chatItemAi });
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if (!chat) {
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return;
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}
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const metadataString = JSON.stringify(metadata ?? {});
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const uid = chat.outLinkUid || chat.tmbId;
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// Pop last two items
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const question = chatItemHuman.value
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.map((item) => {
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if (item.type === ChatItemValueTypeEnum.text) {
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return item.text?.content;
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} else if (item.type === ChatItemValueTypeEnum.file) {
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if (item.file?.type === 'image') {
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return ``;
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}
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return `[${item.file?.name}](${item.file?.url})`;
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}
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return '';
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})
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.join('\n');
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const answer = chatItemAi.value
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.map((item) => {
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const text = [];
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if (item.text?.content) {
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text.push(item.text?.content);
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}
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if (item.tools) {
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text.push(
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item.tools.map(
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(tool) =>
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`\`\`\`json
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${JSON.stringify(
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{
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name: tool.toolName,
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params: tool.params,
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response: tool.response
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},
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null,
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2
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)}
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\`\`\``
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)
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);
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}
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if (item.interactive) {
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text.push(`\`\`\`json
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${JSON.stringify(item.interactive, null, 2)}
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\`\`\``);
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}
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return text.join('\n');
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})
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.join('\n');
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if (!question || !answer) {
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addLog.error('[ChatLogPush] question or answer is empty', {
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question: chatItemHuman.value,
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answer: chatItemAi.value
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});
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return;
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}
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// computed response time
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const responseData = chatItemAi.responseData;
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const responseTime =
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responseData?.reduce((acc, item) => acc + (item?.runningTime ?? 0), 0) || 0;
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const sourceIdPrefix = process.env.CHAT_LOG_SOURCE_ID_PREFIX ?? 'fastgpt-';
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const chatLog: ChatLog = {
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title: chat.title,
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feedback: (() => {
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if (chatItemAi.userGoodFeedback) {
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return 'like';
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} else if (chatItemAi.userBadFeedback) {
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return 'dislike';
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} else {
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return null;
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}
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})(),
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chatItemId: `${chatItemIdHuman},${chatItemIdAi}`,
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uid,
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question,
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answer,
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chatId,
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responseTime: responseTime * 1000,
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metadata: metadataString,
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sourceName: chat.source ?? '-',
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// @ts-ignore
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createdAt: new Date(chatItemAi.time).getTime(),
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sourceId: `${sourceIdPrefix}${appId}`
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};
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await axios.post(`${url}/api/chat/push`, chatLog);
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} catch (e) {
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addLog.error('[ChatLogPush] error', e);
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}
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};
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