Add request log and uncatch error tip. (#1531)

Dockerfile

@@ -86,4 +86,4 @@ USER nextjs
 
 ENV serverPath=./projects/$name/server.js
 
-ENTRYPOINT ["sh","-c","node ${serverPath}"]
+ENTRYPOINT ["sh","-c","node --max-old-space-size=4096 ${serverPath}"]

packages/global/core/workflow/runtime/utils.ts

@@ -1,5 +1,5 @@
 import { ChatCompletionRequestMessageRoleEnum } from '../../ai/constants';
-import { NodeOutputKeyEnum } from '../constants';
+import { NodeInputKeyEnum, NodeOutputKeyEnum } from '../constants';
 import { FlowNodeTypeEnum } from '../node/constant';
 import { StoreNodeItemType } from '../type';
 import { StoreEdgeItemType } from '../type/edge';
@@ -8,6 +8,23 @@ import { VARIABLE_NODE_ID } from '../constants';
 import { isReferenceValue } from '../utils';
 import { ReferenceValueProps } from '../type/io';
 
+export const getMaxHistoryLimitFromNodes = (nodes: StoreNodeItemType[]): number => {
+  let limit = 10;
+  nodes.forEach((node) => {
+    node.inputs.forEach((input) => {
+      if (
+        (input.key === NodeInputKeyEnum.history ||
+          input.key === NodeInputKeyEnum.historyMaxAmount) &&
+        typeof input.value === 'number'
+      ) {
+        limit = Math.max(limit, input.value);
+      }
+    });
+  });
+
+  return limit * 2;
+};
+
 export const initWorkflowEdgeStatus = (edges: StoreEdgeItemType[]): RuntimeEdgeItemType[] => {
   return (
     edges?.map((edge) => ({

packages/service/common/middle/entry.ts

@@ -2,6 +2,7 @@ import { jsonRes } from '../response';
 import type { NextApiResponse } from 'next';
 import { withNextCors } from './cors';
 import { ApiRequestProps } from '../../type/next';
+import { addLog } from '../system/log';
 
 export type NextApiHandler<T = any> = (
   req: ApiRequestProps,
@@ -11,6 +12,8 @@ export type NextApiHandler<T = any> = (
 export const NextEntry = ({ beforeCallback = [] }: { beforeCallback?: Promise<any>[] }) => {
   return (...args: NextApiHandler[]): NextApiHandler => {
     return async function api(req: ApiRequestProps, res: NextApiResponse) {
+      const start = Date.now();
+      addLog.info(`Request start ${req.url}`);
       try {
         await Promise.all([withNextCors(req, res), ...beforeCallback]);
 
@@ -20,6 +23,9 @@ export const NextEntry = ({ beforeCallback = [] }: { beforeCallback?: Promise<an
         }
 
         const contentType = res.getHeader('Content-Type');
+
+        addLog.info(`Request finish ${req.url}, time: ${Date.now() - start}ms`);
+
         if ((!contentType || contentType === 'application/json') && !res.writableFinished) {
           return jsonRes(res, {
             code: 200,

packages/service/common/system/tools.ts

@@ -20,3 +20,15 @@ export const initFastGPTConfig = (config?: FastGPTConfigFileType) => {
   global.whisperModel = config.whisperModel;
   global.reRankModels = config.reRankModels;
 };
+
+export const systemStartCb = () => {
+  process.on('uncaughtException', (err) => {
+    console.error('Uncaught Exception:', err);
+    // process.exit(1); // 退出进程
+  });
+
+  process.on('unhandledRejection', (reason, promise) => {
+    console.error('Unhandled Rejection at:', promise, 'reason:', reason);
+    // process.exit(1); // 退出进程
+  });
+};

packages/service/core/chat/controller.ts

@@ -32,7 +32,7 @@ export async function getChatItems({
 
   return { history };
 }
-/* 临时适配旧的对话记录,清洗完数据后可删除（4.30刪除） */
+/* 临时适配旧的对话记录 */
 export const adaptStringValue = (value: any): ChatItemValueItemType[] => {
   if (typeof value === 'string') {
     return [

projects/app/src/components/core/workflow/Flow/ChatTest.tsx

@@ -25,6 +25,7 @@ import { useTranslation } from 'next-i18next';
 import { StoreEdgeItemType } from '@fastgpt/global/core/workflow/type/edge';
 import {
   getDefaultEntryNodeIds,
+  getMaxHistoryLimitFromNodes,
   initWorkflowEdgeStatus,
   storeNodes2RuntimeNodes
 } from '@fastgpt/global/core/workflow/runtime/utils';
@@ -57,19 +58,8 @@ const ChatTest = (
   const startChat = useCallback(
     async ({ chatList, controller, generatingMessage, variables }: StartChatFnProps) => {
       /* get histories */
-      let historyMaxLen = 6;
+      let historyMaxLen = getMaxHistoryLimitFromNodes(nodes);
-      nodes.forEach((node) => {
+      const history = chatList.slice(-historyMaxLen - 2, -2);
-        node.inputs.forEach((input) => {
-          if (
-            (input.key === NodeInputKeyEnum.history ||
-              input.key === NodeInputKeyEnum.historyMaxAmount) &&
-            typeof input.value === 'number'
-          ) {
-            historyMaxLen = Math.max(historyMaxLen, input.value);
-          }
-        });
-      });
-      const history = chatList.slice(-(historyMaxLen * 2) - 2, -2);
 
       // 流请求，获取数据
       const { responseText, responseData, newVariables } = await streamFetch({

projects/app/src/pages/api/v1/chat/completions.ts

@@ -10,6 +10,7 @@ import type { ChatCompletionCreateParams } from '@fastgpt/global/core/ai/type.d'
 import type { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type.d';
 import {
   getDefaultEntryNodeIds,
+  getMaxHistoryLimitFromNodes,
   initWorkflowEdgeStatus,
   storeNodes2RuntimeNodes,
   textAdaptGptResponse
@@ -168,11 +169,12 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
       })();
 
     // 1. get and concat history; 2. get app workflow
+    const limit = getMaxHistoryLimitFromNodes(app.modules);
     const [{ history }, { nodes, edges }] = await Promise.all([
       getChatItems({
         appId: app._id,
         chatId,
-        limit: 30,
+        limit,
         field: `dataId obj value`
       }),
       getAppLatestVersion(app._id, app)

projects/app/src/pages/app/detail/components/SimpleEdit/ChatTest.tsx

@@ -4,7 +4,6 @@ import { useTranslation } from 'next-i18next';
 import React, { useCallback, useEffect, useRef } from 'react';
 import ChatBox from '@/components/ChatBox';
 import type { ComponentRef, StartChatFnProps } from '@/components/ChatBox/type.d';
-import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import { streamFetch } from '@/web/common/api/fetch';
 import MyTooltip from '@/components/MyTooltip';
 import MyIcon from '@fastgpt/web/components/common/Icon';
@@ -13,6 +12,7 @@ import { checkChatSupportSelectFileByModules } from '@/web/core/chat/utils';
 import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
 import {
   getDefaultEntryNodeIds,
+  getMaxHistoryLimitFromNodes,
   initWorkflowEdgeStatus,
   storeNodes2RuntimeNodes
 } from '@fastgpt/global/core/workflow/runtime/utils';
@@ -53,19 +53,9 @@ const ChatTest = ({
       if (!workflowData) return Promise.reject('workflowData is empty');
 
       /* get histories */
-      let historyMaxLen = 6;
+      let historyMaxLen = getMaxHistoryLimitFromNodes(workflowData.nodes);
-      workflowData?.nodes.forEach((node) => {
+
-        node.inputs.forEach((input) => {
+      const history = chatList.slice(-historyMaxLen - 2, -2);
-          if (
-            (input.key === NodeInputKeyEnum.history ||
-              input.key === NodeInputKeyEnum.historyMaxAmount) &&
-            typeof input.value === 'number'
-          ) {
-            historyMaxLen = Math.max(historyMaxLen, input.value);
-          }
-        });
-      });
-      const history = chatList.slice(-(historyMaxLen * 2) - 2, -2);
 
       // 流请求，获取数据
       const { responseText, responseData } = await streamFetch({

projects/app/src/service/mongo.ts

@@ -11,6 +11,7 @@ import { mongoSessionRun } from '@fastgpt/service/common/mongo/sessionRun';
 import { initGlobal } from './common/system';
 import { startMongoWatch } from './common/system/volumnMongoWatch';
 import { startTrainingQueue } from './core/dataset/training/utils';
+import { systemStartCb } from '@fastgpt/service/common/system/tools';
 
 /**
  * connect MongoDB and init data
@@ -21,6 +22,7 @@ export function connectToDatabase(): Promise<void> {
       initGlobal();
     },
     afterHook: async () => {
+      systemStartCb();
       // init system config
       getInitConfig();
       //init vector database, init root user